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Indicatori e strategie

EQH/EQL Liquidity Zones [LuxAlgo]The EQH/EQL Liquidity Zones indicator automatically detects and tracks Equal Highs (EQH) and Equal Lows (EQL) to identify significant areas of resting liquidity. It provides a visual framework for understanding where market participants have placed stop-orders, offering dynamic targets for price action to gravitate toward and eventually "sweep." 🔶 USAGE Equal Highs and Equal Lows are key structural patterns used in Smart Money Concepts (SMC) to represent liquidity. When price forms two or more peaks or troughs at approximately the same price level, it creates a "retail" resistance or support line. The script highlights these as zones, as price often seeks to move beyond these levels to activate the liquidity (stop-orders) residing there. 🔹 Identifying Liquidity The script scans historical pivots to find matching prices within a user-defined threshold. When a match is found, a zone is drawn from the original pivot point and extended until the level is "swept" (price moves above an EQH or below an EQL). 🔹 Volume and Clusters To help traders prioritize zones, the indicator displays the volume associated with the specific pivot points forming the liquidity. If multiple liquidity zones are situated very close to one another, the script dynamically merges their labels to show a "cluster" count (e.g., 2x EQH) and the total accumulated volume at that level. 🔹 Sweep Behavior Once price breaches the maximum high or minimum low of a zone, the zone is considered "swept." Users can choose to have these zones deleted immediately or kept on the chart with a greyed-out visual style to study historical price reactions. 🔶 DETAILS The indicator uses a pivot-based detection system combined with a percentage-based threshold. This ensures that even if two highs are not exactly equal to the decimal point, they can still be classified as Equal Highs if they are within a tight proximity (the "Equality Threshold"). The script tracks "Active Zones" up to a configurable limit. For high-volatility environments or lower timeframes (like the 1m chart), users can increase the maximum active zones to ensure all relevant resting liquidity is accounted for during fast-moving market conditions. 🔶 SETTINGS 🔹 Liquidity Detection Pivot Left/Right Length: Determines the number of bars required to confirm a structural high or low. Equality Threshold (%): The maximum percentage difference allowed between two pivots to classify them as "Equal." Max Active Zones: Controls the maximum number of unswept zones tracked simultaneously. 🔹 Visuals Bullish/Bearish Zone Color: Sets the colors for EQL (supportive liquidity) and EQH (resistance liquidity). Zone Transparency: Adjusts the opacity of the liquidity boxes. Show Midline: Toggles a dashed line at the average price of the equal pivots. Show Volume: Displays the volume captured at the specific pivot points. Delete on Sweep: If enabled, removes the zone from the chart immediately once price breaches the level.
Indicatore Pine Script®
di LuxAlgo
6
Institutional Volume Flow [BigBeluga]🔵 OVERVIEW Institutional Volume Flow is a higher-timeframe segmented developing volume profile tool designed to reveal where institutional participation is building inside active price ranges. Instead of plotting static session profiles, this indicator dynamically tracks the developing High, Low, Midpoint, and Point of Control (POC) for each selected higher-timeframe segment (Daily, Weekly, or Monthly). It allows traders to visualize where volume is accumulating in real time - and where dominant positioning is forming before the segment closes. The result is a structural + volume hybrid framework that exposes institutional footprints inside expanding ranges. 🔵 CORE CONCEPT HTF Segmentation - The chart is divided into higher-timeframe segments (D/W/M). Each new segment starts a fresh developing volume profile. Developing Range Logic - High and Low levels continuously update during the segment, defining the active institutional range. Volume Distribution Mapping - All traded volume inside the segment is distributed across price bins to build a live volume profile. Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar. Institutional Bias Detection - Background coloring adapts depending on whether price is trading above or below the segment midpoint. 🔵 HOW IT WORKS 1️⃣ Segment Detection A new segment begins whenever the selected higher timeframe changes. All volume and price calculations reset at the start of a new segment. Previous segments are frozen and preserved on the chart for historical reference. 2️⃣ Developing High / Low Structure The highest high and lowest low inside the current segment update dynamically. A midpoint (average of High and Low) is calculated to represent internal balance. These levels extend forward visually for clarity. 3️⃣ Volume Profile Construction The price range is divided into user-defined bins (Volume Profile Bins). Each bar’s volume is assigned to the corresponding price bin. Volume accumulates throughout the segment. Box width represents relative volume intensity at that level. The strongest node becomes the Point of Control (POC) . Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar during Segment developing. 4️⃣ Developing vs Frozen Profiles The active segment shows a developing profile that updates in real time. When a new segment begins, the completed profile is frozen. This allows comparison between current positioning and previous institutional distributions. 5️⃣ Volume Spike Detection (Z-Score) A 50-bar rolling mean and standard deviation are used. When volume significantly exceeds normal distribution, the range fill intensifies. This highlights abnormal participation inside the active range. 🔵 KEY FEATURES Higher-timeframe segmentation (Daily / Weekly / Monthly). Developing High, Low, and Midpoint levels. Bias-based profile coloring : green above midpoint, blue below midpoint. Real-time rolling Point of Control. Customizable number of volume bins for precision. Adjustable profile width for clear visualization. Frozen historical profiles for structural context (with preserved bias color). Z-score volume spike detection. Institutional range bias shading at segment start/end. 🔵 HOW TO USE Watch where price interacts with the developing POC — this often signals value acceptance or rejection. Use the segment midpoint to gauge balance vs imbalance. Treat green profiles as bullish-leaning segments (close above mid) and blue profiles as bearish-leaning segments (close below mid). Observe whether volume builds near highs or lows — this can indicate accumulation or distribution. Monitor frozen prior segments to identify high-volume memory zones. Use volume spikes to detect aggressive participation inside developing ranges. Combine with liquidity tools or order blocks for confirmation. 🔵 INTERPRETING INSTITUTIONAL FLOW Expanding range + rising POC → value shifting. Contracting range + stable POC → consolidation. Heavy volume near extremes → potential absorption. POC migration during trend → institutional repositioning. 🔵 CONCLUSION Institutional Volume Flow transforms higher-timeframe segmentation into a live institutional positioning map. By combining structural range development with rolling volume profiling and abnormal volume detection, it provides traders with a powerful way to understand where participation is building - not just where price is moving. It is especially effective for identifying accumulation, distribution, and value shifts before a higher-timeframe candle closes.
Indicatore Pine Script®
di BigBeluga
5
Root Mean Deviation Trail | Lyro RSThe Root Mean Deviation Trail is an adaptive trend-following overlay that combines Root Mean Square Deviation (RMSD) volatility normalization with a signed deviation signal to produce a dynamic, self-adjusting trail. Rather than applying a fixed-width channel, RMDT continuously measures how far and in what direction price deviates from its mean — then uses that information to modulate trail width in real time. The result is a trail that tightens during strong trending conditions and widens during low-momentum or choppy phases. How It Works 1. Deviation Engine The indicator anchors all calculations to an EMA of the source price. From this anchor, the signed normalized deviation is computed: Deviation Raw = (Price − EMA) / RMSD This value captures both the direction and relative magnitude of price displacement. A smoothing moving average (user-selectable from 16 types) is then applied to reduce noise in the signal. 2. RMSD Volatility Normalizer Root Mean Square Deviation is calculated over a rolling lookback window: RMSD = √( Σ(Price − EMA)² / Length ) This acts as the volatility anchor — measuring true price dispersion from the mean rather than relying on standard deviation, which is more sensitive to outlier spikes. 3. Adaptive Trail Width The normalized deviation signal is scaled against its 80-bar peak to produce a value between 0 and 1 (sigNorm). This drives the multiplier between two user-defined extremes: - When deviation is strong → multiplier approaches the Tight value → trail hugs price - When deviation is weak → multiplier approaches the Wide value → trail drifts away Multiplier = Wide − sigNorm × (Wide − Tight) Bandwidth = RMSD × Multiplier 4. Trail & Outer Band The trail is positioned below price in uptrends and above in downtrends, offset from the EMA by the adaptive bandwidth. An optional outer band plots on the opposite side at half the bandwidth — providing a soft dynamic target zone. Both are smoothed with a short EMA to eliminate jitter. Key Features - 16 Smoothing MA Types — SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, LSMA, SMMA, ALMA, ZLSMA, FRAMA, KAMA, JMA, T3 - Adaptive Trail Width — Tight in high-deviation regimes, wide when momentum is low - Gradient & Trend Color Modes — Gradient scales color intensity with deviation strength; Trend applies flat directional coloring - Glow Effect — A multi-layer fill around the MA creates a soft luminous visual depth that scales with signal intensity - Colored Candles & Bar Color — Full chart integration with signal-aware candle coloring - Long / Short Signal Labels — Printed at trend crossovers with 𝓛𝓸𝓷𝓰 / 𝓢𝓱𝓸𝓻𝓽 labels - Color Palettes — Classic, Mystic, Accented, Royal, or fully custom - Status Table — Displays live Trend, Strength (Weak / Moderate / Strong), and Signal state - Alerts — Confirmed Long and Short alert conditions included Signal Interpretation - A Long signal (𝓛𝓸𝓷𝓰 label, below bar) fires when the smoothed deviation crosses above zero — price is pulling away from the mean to the upside with measurable momentum - A Short signal (𝓢𝓱𝓸𝓻𝓽 label, above bar) fires when the deviation crosses below zero — downward displacement is dominant - The trail acts as a dynamic support/resistance reference — a sustained close beyond it during a new signal adds confluence to the directional bias - Strength classification (Weak / Moderate / Strong) reflects how far the current deviation is relative to its recent peak — useful for filtering low-conviction signals Practical Use - Trend Following — Use the trail as a trailing stop reference. In strong uptrends, the trail tightens and follows price closely; in weak or ranging markets it widens, reducing false exits. - Signal Filtering — Combine signal labels with the Strength indicator in the table. Prioritize Strong signals; treat Weak signals as early alerts requiring additional confirmation. - Volatility Reading — The width of the band between the trail and outer band visually encodes current volatility regime. Narrow = directional, Wide = uncertain. - Confluence — Stack with volume-based or oscillator tools to confirm that momentum is supported by participation. ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicatore Pine Script®
di LyroRS
4
Anchored Value Distribution Oscillator (Zeiierman)█ Overview Anchored Value Distribution Oscillator (Zeiierman) is a structure-driven oscillator that models price as a dynamic value distribution, then measures where price is positioned within that structure to reveal balance, imbalance, and shifting market conditions. Instead of relying purely on price momentum, the indicator builds a rolling, volume-weighted distribution of price over time. From this structure, it extracts key reference levels such as the value center, high/low distribution bands, and peak activity zones. These are then used to normalize the price into a bounded oscillator. Alongside the distribution, the script constructs an adaptive trailing anchor that reacts to structural shifts and volatility. The oscillator combines both the structural distribution and the adaptive anchor into a single positioning score, producing a contextual view of trend, extension, and balance. The result is an oscillator that reflects not just direction, but where price sits within its evolving value landscape. █ How It Works ⚪ Distribution Engine (Value Model) The core of the indicator is a rolling value distribution built from price and volume. Each bar contributes to a log-scaled price histogram, where: price ranges are segmented into rows volume is distributed across those rows candle bodies and wicks are weighted differently older data gradually decays over time This produces a continuously updating view of: Point of Control (vp) Value High / Value Low (vh / vl) Outer extremes (xh / xl) Distribution center (cen) Unlike a static volume profile, this model evolves with the market and adapts to both recent and historical activity. ⚪ Adaptive Anchor (Trend Engine) On top of the distribution, the script builds an adaptive trend anchor (anc). The anchor is derived from a structural base: blended from the distribution center and peak activity offset using volatility (ATR) constrained to trail price in the active direction The anchor flips direction when the price crosses it, and then trails using a volatility-adjusted distance. This creates a structure-aware trend model that behaves similarly to a trailing stop, but is grounded in value distribution rather than raw price movement. ⚪ Normalized Positioning Model The oscillator converts price into a normalized position within the distribution. Two independent scores are calculated: Position relative to the adaptive anchor (scAnc) Position relative to the value distribution (scVp) Each score maps price into a bounded range: -50 → extreme downside -25 - 20 → fair value +50 → extreme upside These scores are then combined into a single output using a weighted blend. A confidence factor reduces the distribution score's contribution when it disagrees with the anchor, ensuring cleaner signals in conflicting conditions. ⚪ Smoothed Oscillator Output The final oscillator (outAvg) is a smoothed combination of: trend-aware positioning (anchor) structure-aware positioning (distribution) █ How to Use ⚪ Read Position Relative to Value Use the oscillator to understand where the price sits within its value distribution: Above 25 → price is positioned above fair value Below -25 → price is positioned below fair value Near extremes (±50) → price is extended relative to structure This helps distinguish between: continuation conditions mean reversion zones balanced market states ⚪ Follow the Adaptive Trend Anchor The trailing anchor provides a clear trend reference: Price above anchor → bullish regime Price below anchor → bearish regime Anchor flips → potential regime shift █ Settings Lookback – Controls how much historical data is used to build the value distribution. Higher values produce smoother structure, while lower values increase responsiveness. Canvas Pad – Expands the distribution range to include more extreme price levels. Increasing this captures broader moves but reduces precision. Rebuild Drift – Determines how much the distribution can drift before being recalculated. Lower values rebuild more frequently, higher values allow more continuity. Signal Length – Controls the smoothing of the signal line. Higher values reduce noise but increase lag. Profile Center Bias – Blends between the value distribution center and the point of control to define the structural base. Higher values anchor the trail to the broader distribution center, while lower values make it follow peak activity more closely. Trail Acceleration – Controls how quickly the trailing stop tightens as the price accelerates. Higher values make the trail react more aggressively to impulsive moves, reducing lag during strong trends. Max Trail Acceleration – Limits how much the acceleration can compress the trailing distance. Higher values allow the stop to tighten more during rapid expansion, while lower values keep behavior closer to the original, smoother trail. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicatore Pine Script®
di Zeiierman
1
Sweep, CISD, MTF FVG & Key Levels"Sweep CISD FVG Key Levels" is a comprehensive multi-timeframe analysis tool built around three core concepts in price delivery — liquidity sweeps, change in state of delivery (CISD), and fair value gaps (FVG) — extended with a persistent key levels overlay that brings the most important structural reference prices directly onto the same chart. Designed for traders who want to understand how price moves between areas of liquidity, identify structural shifts, and anticipate expansion, this indicator consolidates several distinct analytical layers into a single, clean, and highly configurable overlay. The tool is built to function on any asset and any timeframe, automatically pairing your current chart timeframe with a logical higher timeframe (HTF) so that all components remain contextually aligned. Every element updates dynamically and adapts in real time as new candles form, allowing analysts to follow the evolving structure of the market without manually updating drawings. How It Works — Core Concepts The indicator is structured around the relationship between a higher timeframe candle and the lower timeframe price action that develops within it. Understanding the primary components will allow you to get the most from the tool. Wick Lick (Sweep Formation) The Wick Lick is the foundational setup the indicator detects. It is formed when a higher timeframe candle sweeps a prior candle's high or low with its wick, then closes back inside the prior candle's range — indicating that liquidity has been taken and price has rejected the level. The indicator identifies several distinct forms of this formation: Standard Bearish Wick Lick: the last closed HTF candle sweeps the prior high and closes below it, with the close sitting below the candle's own logarithmic midpoint. Standard Bullish Wick Lick: the last closed HTF candle sweeps the prior low and closes above it, with the close sitting above the candle's own logarithmic midpoint. Expansive Bearish Wick Lick: the prior candle itself swept a new high before the current HTF candle closes bearishly below the prior candle's body, capturing a two-candle sweep-and-rejection sequence. Expansive Bullish Wick Lick: the mirror image — prior candle sweeps a new low, current closes bullishly above the prior body. Pro-Trend Bearish Midpoint Sweep: a candle that wicks into but closes below the prior candle's low, having swept through the prior candle's midpoint from above. Pro-Trend Bullish Midpoint Sweep: the inverse, where a candle wicks down through the prior candle's midpoint but closes above the prior high. When a Wick Lick is identified, the indicator draws a highlighted zone spanning the logarithmic midpoint and close of the formation candle. This zone represents the anticipated area of price interest — the range from which a reaction or continuation is expected. A midline and optional close line are drawn within the zone to mark these exact levels. The zone extends forward across the current HTF candle's expected duration, so you can see at a glance how much time remains for a reaction to occur. A Silver Wick Lick designation is applied when the formation occurs during the final quarter of the weekly cycle (Thursday 4H candle 5, or Friday), and the close breaks aggressively beyond both previous candle extremes — historically a high-probability condition. Change in State of Delivery (CISD) Once a Wick Lick forms, the indicator looks to the lower timeframe chart to detect a CISD — a series of candles moving in one direction that are then broken by a close in the opposite direction. This represents the moment the delivery state changes, and is the lower timeframe confirmation that the higher timeframe setup is beginning to play out. The indicator automatically identifies the run of candles making up the opposing series, marks the extreme of that series, and then watches for a candle that closes decisively through it. When that break occurs, a CISD line is drawn from the start of the series to the breakout bar at the relevant price extreme, rendered in solid style so it stands out clearly. You can configure whether the indicator uses full wicks or candle bodies to define the series extremes via the "Use Body for Confirmation" setting, which can tighten or loosen the threshold for what constitutes a valid CISD. Projections Following a confirmed CISD, the indicator draws projection levels forward from the break price. These levels are multiples of the series range — the distance between the high and low of the opposing candle series. By default, the levels 0.5, 1.0, 1.5, and 2.0 are plotted, each labelled with its multiple. These represent areas where price may deliver, pause, or reverse as the expansion move unfolds. You can add, remove, or modify projection levels entirely using the comma-separated input field, with no limit on the number of levels you define. Wick Lick Sweep Confirmation The indicator also monitors for a secondary confirmation event: a pivot-level sweep that occurs while price is interacting with an active Wick Lick zone. When this occurs, the indicator prints a sweep label and optionally draws a confirmation line at the swept level. An alert fires automatically. This sweep confirmation provides a lower-timeframe entry signal embedded within the higher-timeframe setup, giving you precise timing context. Key Levels The indicator maintains a persistent set of key structural price levels drawn as horizontal lines extending to the right of the current bar, each labelled for instant identification. These levels reset or update automatically each day and require no manual input. The following levels are tracked: 4H High / Low: the high and low of the most recently completed 4-hour candle, giving you the nearest structural reference from the 4H timeframe regardless of what chart timeframe you are on. Previous Day High / Low: the full range of the prior trading day, a foundational reference for intraday bias and level interaction. Previous Week High / Low: the prior week's range, useful for identifying higher timeframe targets and areas of potential reversal. Previous Month High / Low: the prior month's range, providing the broadest structural context available from the fixed-period levels. Asia Session High / Low: the high and low established during the Asia session (6pm–2am EST), which resets at the start of each new trading day at 6pm. This range is widely used as a reference for London and New York session behaviour. London Session High / Low: the high and low formed during the London session (2am–8am EST), tracking the range established before the New York open. HOD / LOD (High and Low of Day): the running high and low of the current trading day from 6pm onward. The line for each starts from the bar where the HOD or LOD was actually set, making it easy to see when and where the extremes were established. These update in real time as new highs or lows are made. Market Open Lines: horizontal lines at the opening price of each major session boundary — the 6pm Globex open, the 8am Futures open, and the 9:30am RTH (Regular Trading Hours) open. Each line starts from its exact open bar and extends forward, giving you a precise reference for the price at which each session began. All key level lines are drawn only on the final bar to avoid chart clutter, and each has its own independent toggle, colour, line style, and width setting. Labels appear to the right of the line extension and can be repositioned using the label offset input. HTF Candle Visualisation To the right of the current price, the indicator renders the most recent HTF candles as actual candlestick objects — body, upper wick, and lower wick — displayed in the chart's future space. This allows you to monitor the developing HTF candle in real time without switching timeframes. Several visual elements accompany the HTF candle display: Trace lines connect the current open, close, high, and low of the HTF candle back to their originating bars on the chart. A label above the candle cluster shows the HTF name and optionally a countdown timer showing the time remaining until the current HTF candle closes. A vertical line marks the start of each HTF candle period. Midpoint dots are drawn between adjacent HTF candles using a logarithmic midpoint calculation. Horizontal lines within the HTF display mark where one candle's close sweeps the prior candle's high or low wick. Fair value gaps between non-adjacent HTF candles are highlighted as shaded boxes. Volume imbalances between adjacent candle bodies are highlighted separately with a distinct colour. Multi-Timeframe FVG Overlay Independently from the HTF candle system, the indicator maintains a live fair value gap detection engine across two user-defined timeframes. These FVGs are drawn as boxes extending to the right and are automatically removed when price trades through them. Each timeframe has its own colour for bullish and bearish gaps. Information Table An on-chart table summarises the key state of the model at any given moment — the current timeframe pairing, the countdown to the next HTF candle close, and a bias reading based on the last two closed HTF candles. Setup Guide After adding the indicator to your chart, the first decision is your HTF mode. In Auto mode, the indicator selects the HTF based on your current chart timeframe using a fixed pairing table: 1M chart uses 15M HTF, 3M uses 30M, 5M uses 1H, 15M uses 4H, 30M or 1H uses Daily, 4H or 8H uses Weekly, and Daily uses Monthly. If you prefer to define your own pairing, switch to Custom mode and select your HTF manually. Set "Max Display" to control how many historical HTF candles are retained and displayed at any one time. A value of 4 is the default. Choose your Wick Lick Bias if you only want to monitor one direction. Bullish will suppress bearish formations and vice versa. None shows all formations. Decide whether you want to use candle bodies or wicks for the CISD confirmation logic using the "Use Body for Confirmation" toggle. For the Key Levels section, each level group has its own enable toggle so you can show only what is relevant to your session and strategy. The label offset and line extension inputs control how far right the labels and lines project from the current bar. All session-based levels (Asia, London, HOD/LOD, market opens) are referenced to the America/New_York timezone and reset automatically at the 6pm Globex open each day. If you are trading instruments that do not have a 6pm Globex session, the market open lines and session levels will simply remain empty until price reaches those hours. Configure your projection levels to match your personal framework using the comma-separated Projection Levels field. "Extend Latest Projections to Current Bar" keeps the most recent set of projections extending to the live bar. For the MTF FVG panel, enable Timeframe 1 and Timeframe 2 and set each to the timeframes most relevant to your strategy. Choose distinct colours for each so they are easy to distinguish. Input Reference HTF Candle section controls everything related to the higher timeframe candle display. HTF Mode and Custom Timeframe define the pairing. Show HTF enables or disables the entire candle cluster. Max Display sets the candle history depth. Use Actual Day Change for Daily HTF is an alternative detection method for the daily candle boundary. Bull/Bear body, border, and wick colours are fully customisable. Padding, spacing, and candle width give fine control over the layout. Trace lines can be toggled independently per OHLC level. Show Chart Sweeps enables the horizontal lines drawn between HTF candles at sweep levels. Wick Lick section controls setup detection and display. Wick Lick Bias filters by direction. Show Wick Lick enables zone drawing. Extend Latest Wick Lick to Current Bar keeps the active zone expanding. Show Only Latest Wick Lick removes all prior zones when a new one is detected. Line style, transparency, midline width, and close line visibility are all configurable. Show Silver Wick Lick enables the end-of-week premium condition. Hide Wick Lick When Trading Against dynamically suppresses zones that are no longer valid. Delete Wick Lick When Trading Against fully removes them. Sweep confirmation labels, confirmation lines, and C2/C3/C4 structural labels are each independently toggled. Info Table section controls the on-chart table position, colours, border and frame widths, and text size. HTF Lines section controls the vertical candle boundary lines and the HTF name and timer labels above the candle cluster. Labels section controls price labels on HTF candle OHLC levels, off by default. Volume Imbalance section enables and colours the volume imbalance boxes between adjacent HTF candles. HTF FVGs section enables and colours the fair value gap boxes within the HTF candle cluster. CISD and Projections section controls CISD line appearance and the forward projection levels, including the level multiples, colour, and extension behaviour. MTF FVG Timeframes section configures the two independent FVG timeframes, each with its own enable toggle, timeframe selector, max count, and bull/bear colours. Key Levels section controls all structural reference lines. A global label offset and line extension setting applies to all levels. Label text colour and size are shared across all labels. Each level group — 4H High/Low, Previous Day, Previous Week, Previous Month, Asia Session, London Session, HOD/LOD, and Market Opens — has its own enable toggle, colour pickers for the high and low lines, line style selector, and width setting. The three market open lines (Globex, Futures, RTH) each have their own toggle and colour within the Market Opens group. Alert Conditions The indicator fires native TradingView alerts for the following events: Bullish Wick Lick Sweep Confirmed — triggers when a pivot high is swept while price is inside a bullish Wick Lick zone and closes back above the pivot. Bearish Wick Lick Sweep Confirmed — the mirror event for bearish zones. Silver Bullish Wick Lick — triggers when a bullish formation occurs during the elevated-condition window and close exceeds both prior candle highs. Silver Bearish Wick Lick — the equivalent for bearish formations. Silver Expansive variants of both directional types. To receive alerts, add the indicator to your chart, open the Alerts panel, create a new alert, and select the indicator from the condition dropdown. Tips for Effective Use The indicator is most powerful when used to track a single setup from formation through to confirmation. When a new Wick Lick forms, note the zone's midline and close line — those are the levels that matter most for the near-term candle. Watch for a CISD on your lower timeframe chart as price attempts to leave the zone. Use the key levels as context for every setup. A Wick Lick zone forming at or near the Previous Day High, Asia High, or a market open price carries additional significance because multiple structural references are converging. The HOD and LOD lines are particularly useful for tracking whether price is making a new extreme or respecting an established boundary for the session. Use the Silver designation as a quality filter. Formations that qualify as Silver carry the additional context that they are occurring late in the weekly cycle, where distribution or accumulation tends to be more decisive. The bias reading in the info table gives you a quick directional read based purely on HTF candle behaviour. Use this alongside your own market structure analysis rather than in isolation. If the chart becomes cluttered, use "Show Only Latest Wick Lick" and "Show Only Latest Sweep" to reduce it to the single most relevant setup. You can also disable individual key level groups from the Key Levels settings to remove any levels that are less relevant to your current session or instrument. The MTF FVG layer works independently and requires no interaction — it simply maintains a live view of open imbalances from two timeframes. Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, or a trading recommendation of any kind. Past formations and historical signals are not indicative of future results. The user assumes full responsibility for any trading decisions made using this tool. Always apply your own analysis and risk management. Credits: Massive thanks to @mindyourbuisness for the excellent code to identify the key sweep box areas & CISD + projections
Indicatore Pine Script®
di lucymatos
4
Uptrick: ML Kernel Regression Introduction This indicator applies Nadaraya-Watson kernel regression, a non-parametric machine learning estimator, directly to price data in order to produce a smooth, noise-reduced representation of the market's underlying trend. Unlike moving averages that apply equal or linearly decaying weights, this method uses a Gaussian kernel function to assign weights based on how far back in time each bar sits relative to the current one. Bars closer in time receive exponentially higher weights, while older bars decay naturally. The result is a regression curve that adapts organically to local price structure rather than imposing a fixed lag model onto the data. Residual bands are then constructed around this curve using the rolling standard deviation of the difference between price and the regression line, forming dynamic envelopes that reflect actual price dispersion rather than arbitrary multipliers of a fixed moving average. The indicator is designed for traders who want a statistically grounded trend baseline with state-driven directional signals, without relying on lagging traditional averages. It is built in Pine Script v6 and is fully non-repainting. All state decisions are committed only on confirmed bars, meaning no signal is generated intra-bar and no future bar data influences the output. How It Works The core calculation is the Nadaraya-Watson estimator. At each bar the indicator looks back across a user-defined window and computes a weighted average of past closing prices. The weight assigned to each historical bar is determined by the Gaussian kernel: weight = exp( -lag² / (2 · h²) ), where lag is the number of bars back and h is the bandwidth parameter. A larger bandwidth makes the curve smoother and slower to react. A smaller bandwidth makes it more reactive but noisier. When adaptive bandwidth is enabled, the bandwidth h is scaled dynamically by a normalised ATR factor. In volatile periods, the kernel widens, producing a smoother estimate that avoids overreacting to spike conditions. In calm periods, the kernel tightens, allowing the curve to track price more closely. This makes the regression inherently context-aware without requiring the user to manually switch settings across different market regimes. The residual at each bar is defined as the difference between the closing price and the regression value. A rolling standard deviation of these residuals forms the sigma value, which is then smoothed via EMA. The upper and lower bands are placed at a user-controlled multiple of sigma above and below the kernel line. Because the bands are derived from actual price-to-regression deviation, they expand during high-dispersion conditions and contract when price tracks the regression tightly. State is classified as bullish when price closes above the upper band on a confirmed bar, and bearish when price closes below the lower band on a confirmed bar. Between breakout events the state persists, meaning the indicator holds its last valid directional reading rather than flipping to neutral. This gives the signal a regime-like quality rather than a purely oscillatory one. Features Nadaraya-Watson Gaussian kernel regression curve computed from scratch over a fully user-controlled lookback window Adaptive bandwidth scaling driven by a normalised ATR factor, widening the kernel during volatile conditions and tightening it during calm ones Residual-based standard deviation bands that expand and contract with actual price-to-regression dispersion rather than fixed multipliers Smoothing controls for both the main regression output and the band width, allowing fine-tuning of reactivity versus stability Three visual display modes: Bands mode showing the full envelope, Single Line mode showing only the regression curve with a gradient fill toward price, and Trail mode showing only the relevant band side as a directional trail Gradient fills in all three visual modes that fade from the regression line outward toward price, maintaining visual clarity without obscuring price action State-based bar coloring that applies the directional regime color to every candle, using custom plotcandle rendering for full wickcolor and bordercolor consistency Signal labels that appear only on confirmed state transitions, placed at user-selectable anchors including High or Low, the Main Line, or the Band levels, with adjustable ATR-based offset Seven selectable color themes covering Classic, Cyber Aqua, Crimson Pulse, Royal Purple, Emerald Night, Minimal Mono, and Classic Emerald, each providing a complete set of bull, bear, neutral, background, and frame colors A live dashboard table displaying current signal direction, kernel MA value, upper band value, lower band value, current sigma width, and active bandwidth including whether adaptive mode is engaged Alert conditions for bullish breakout above the upper band and bearish breakdown below the lower band, both tied to confirmed crossover and crossunder events Toggle controls for bar coloring, band fill, and the dashboard table independently Dashboard: Band Mode: Single Line Mode: Trail Mode: Inputs Lookback Window: controls how many historical bars the Gaussian kernel sums over. Larger values produce a slower, broader regression curve. Default is 30. Base Bandwidth (h): sets the core width of the Gaussian kernel. Higher values create smoother, more generalized curves. Lower values track price more closely. Default is 8.0. Adaptive Bandwidth: when enabled, the bandwidth is multiplied by a factor derived from normalised ATR, making the kernel wider in volatile conditions. Default is enabled. ATR Length (adaptive): the period used to compute the ATR for adaptive scaling. Default is 14. MA Output Smoothing: applies an EMA pass over the raw regression output to reduce micro-jitter in the curve. Default is 3. Band Multiplier (sigma): how many standard deviations above and below the regression line the bands are placed. Default is 1.0. Band Lookback (sigma): the rolling window used to compute the standard deviation of residuals. Default is 24. Band Smoothing: EMA smoothing applied to the raw sigma value to stabilize band movement. Default is 5. Visual Mode: selects between Bands, Single Line, and Trail display modes. Color Bars: enables state-colored candles. Default is enabled. Fill Bands: enables the semi-transparent fill between upper and lower bands. Default is enabled. Show Dashboard: toggles the live data table. Default is enabled. Color Gradient Smooth: controls color smoothing, currently reserved for future gradient transitions. Label Anchor: selects where signal labels are pinned. Options are High or Low, Main Line, and Bands. Offset Mult (ATR): scales how far above or below the anchor point labels are offset. Default is 0.50. Theme: selects the color theme across all visual elements. Alert: Cross Above Upper Band: enables the bullish breakout alert condition. Alert: Cross Below Lower Band: enables the bearish breakdown alert condition. Originality The originality of this script lies in the combination of a properly implemented Nadaraya-Watson estimator with an ATR-adaptive bandwidth system, residual standard deviation bands, and a persistent non-neutral state engine, all packaged with a multi-mode visual system that adjusts its presentation to the current directional regime. The regression curve is not a modified moving average. It is a genuine weighted least squares estimate computed bar by bar using a Gaussian kernel function. The adaptive bandwidth mechanism means the indicator does not treat all market conditions equally, which is a meaningful departure from static-parameter band systems. The state logic prioritises confirmed readings and persists between band contacts, which makes the regime classification stable and avoids the false-neutral problem common in threshold-based indicators. The three visual modes serve distinct use cases: Bands for envelope and breakout context, Single Line for a clean trend baseline, and Trail for a dynamic support or resistance reference that follows the active regime. These elements are not assembled from existing published open-source scripts; the full codebase is original work by the author. Conclusion Uptrick: ML Kernel Regression provides a statistically grounded approach to price smoothing and trend regime classification by applying a Gaussian kernel estimator rather than a conventional moving average. The adaptive bandwidth, residual bands, and persistent state logic work together to give traders a tool that reflects actual market behaviour rather than imposing fixed parameters onto it. The multiple visual modes and theme system make it practical across a range of chart styles and use cases. Disclaimer This script is published for educational and analytical purposes only. Nothing in this script or its description constitutes financial advice, investment advice, or a recommendation to buy or sell any asset. All trading involves risk. Past performance of any indicator or signal does not guarantee future results. You are solely responsible for your own trading decisions.
Indicatore Pine Script®
di Uptrick
Auto Adaptive MA Profiles PRO================================================================================== // ⚙️ STRATEJİ MİMARI VE GELİŞTİRİCİ : @TTesviyeci (Twitter/X) // 🤖 KODLAMA VE OPTİMİZASYON : Gemini 3.1 Pro // 📅 SÜRÜM : v1.0 PRO ================================================================================== █████████████████████████████████████████████████████████████ 📌 AUTO-ADAPTIVE MA PROFILES PRO v1.0 | "Evrensel Trend Kokpiti ve Otomatik Vites" █████████████████████████████████████████████████████████████ 📖 SİSTEMİN ÇALIŞMA MANTIĞI (DİNAMİK PROFİL YAPISI): Bu sistem klasik bir "MTF" (Üst zaman dilimini alt zaman diliminde görme) aracı değildir. Tam anlamıyla bir "Dinamik Profil (Auto-Switching)" motorudur. Grafikteki zaman dilimi değiştikçe, o periyoda en uygun Hareketli Ortalama (MA) ayarlarını otomatik ekrana yansıtır. 1. Ameleliğe Son & Akıllı Arayüz: Ayarları her periyot için 1 kez girersin. Yeni "Satır İçi (Inline)" UI mimarisi sayesinde onlarca ayar karmaşa yaratmaz, uçak kokpiti gibi derli toplu durur. Periyot değiştikçe rakam değiştirme eziyeti tamamen bitmiştir. 2. Evrensel Cephanelik (9 Farklı Silah): Sadece EMA değil; SMA, WMA, VWMA, HMA, RMA, DEMA, TEMA ve ZLEMA türlerini destekler. İstersen kısa periyotlarda gecikmesiz HMA/ZLEMA, uzun periyotlarda kurumsal SMA kullanarak kendi "Kutsal Kase" stratejini kurabilirsin. 3. Ekran Temizliği ("Sadece Bulunduğun Odanın Işığı Yanar"): Ekranda aynı anda hem 4 saatliğin hem de Haftalığın ortalamaları açık olsa grafik spagettiye dönerdi. Bu sistem sayesinde sadece o an bulunduğun odanın (periyodun) ışıkları yanar, diğerleri gizlenir. Kusursuz odak! 🦅 KURUMSAL TRADE STRATEJİSİ (Vites Değiştirme Mantığı): Sistemin asıl amacı "Trader'ın hızına ve vitesine göre otomatik silah değiştirmektir." - 🌪️ Hızlı Vites (1H / 4H): Fiyatın çok hızlı hareket ettiği anlarda kısa periyotlu MA'lar ile trende en erken noktadan dahil olmayı veya pullback (düzeltme) yakalamayı sağlar. - 🌊 Ağır Vites (Günlük / Haftalık): Piyasadaki gürültü azaldığında, devasa trendleri ve kurumsal destek/direnç seviyelerini (Örn: Haftalık 144 SMA) hedefler. 🚀 TARAYICI (SCREENER), ALARM VE SUPERTREND ENTEGRASYONU: • Pine Screener Motoru: Arka planda sessizce çalışan algoritma sayesinde, TradingView tarayıcısında yüzlerce coini tek tıkla "Boğa'ya dönenler" olarak filtreleyebilirsin. • Uyku Modundan Çıkış: Trend değiştiğinde (Boğa/Ayı) sistem anında telefonuna alarm atar. • Bağımsız Trend Onayı: Ortalamaların karmaşasına girmeden, ana trend yönünü doğrudan hacimsel ATR tabanlı Supertrend formülü ile milisaniyelik tepkiyle hesaplar. 🖥️ DİNAMİK KOKPİT (UX) VE GÜVENLİK: - Repaint (Geleceği Görme) Yoktur: Sistem mevcut zaman diliminin verilerini kullandığı için geçmişe dönük sahte sinyal (repaint) üretmez. - Görsel Zeka (Dinamik Tablo): Ayarlardan 3. çizgiyi "HMA 55" ve Mor yaptığında; köşedeki tabloda anında "HMA 55" yazar ve rengi Mor olur. Fiyat bir çizgiye değdiğinde ayarlara girmeden onun hangi ortalama olduğunu anında anlarsın!
Indicatore Pine Script®
di yurt42625
3
ALN Sessions NQ 8am Prediction Model v3ALN Sessions — NQ Structural Framework A structural analysis tool for NQ E-Mini Futures based on the Asia / London / New York overnight session relationships documented at nqstats.com. All probability data is sourced directly from the 10-year study published at nqstats.com (2016–2026, n = 2,542 sessions). Full methodology and pattern breakdown available at: nqstats.com What it does At the 08:00 ET bar close (London session end), the indicator classifies the overnight structure into one of four patterns based on how the London range relates to the Asia range: P1 - London Engulfs Asia (22% of sessions) — London expands beyond Asia on both sides. Symmetric two-way volatility into NY. No directional edge. P2 - Asia Engulfs London (6.9%) — London compresses inside Asia. Strongest setup — NY broke at least one level in every session over 10 years. P3 - Partial Engulf Up (41%) — London broke the Asia high but held the Asia low. Bullish overnight lean. High breaks in 80.8% of NY sessions. P4 - Partial Engulf Down (30.2%) — London broke the Asia low but held the Asia high. Bearish overnight lean. Low breaks in 75% of NY sessions. Features Session boxes for Asia, London, and optional NY London and Asia high/low levels extended into the NY session Break probability labels on London Hi/Lo at the NY open Previous day high/low lines with % distance Live break detection labels when London levels are crossed Conditional first-break edge display for P3 and P4 (the key edge degrades ~30pp if the wrong side breaks first) Stats dashboard table with dark/light mode Full customization — colors, label sizes, label placement, line styles, table position Credit Pattern definitions, session times, and all probability statistics are the original research of nqstats.com. This indicator is a visual implementation of that framework. Please visit nqstats.com to understand the full methodology before using this tool in a trading context. This indicator is for educational and informational purposes only. Past probabilities do not guarantee future results.
Indicatore Pine Script®
di jferheart
Candle DNA Analyzer [forexobroker]🔶 OVERVIEW Candle DNA Analyzer dissects every candle into its structural components -- body ratio, upper wick ratio, lower wick ratio, close position, range relative to ATR, and relative volume -- then uses a weighted scoring system to identify candlestick patterns with a confidence percentage. Instead of relying on rigid, binary pattern detection that either matches or does not, this indicator scores each candle against the ideal characteristics of five key patterns and only signals when confidence exceeds a user-defined threshold. This approach is designed for traders who value candlestick analysis but want objectivity and consistency in their pattern recognition. By decomposing each candle into measurable DNA metrics, the indicator removes the subjectivity that often plagues visual pattern identification. 🔶 CONCEPTS Every candlestick encodes information about the battle between buyers and sellers during that period. The body size relative to the total range tells you how decisive the outcome was. The upper and lower wicks reveal rejection at price extremes. The close position within the range shows who won the period. When combined with volume context and volatility (ATR), these metrics form a fingerprint -- the candle's DNA. Pattern recognition becomes a scoring exercise: a hammer, for example, should have a long lower wick, a small body near the top, minimal upper wick, and ideally above-average volume confirming the rejection. 🔶 HOW IT WORKS - Calculates six DNA metrics for every candle: body ratio, upper wick ratio, lower wick ratio, close position, range vs ATR, and relative volume - Scores each candle against five pattern templates (Hammer, Shooting Star, Bullish Engulfing, Bearish Engulfing, Doji) using weighted criteria - Each pattern has up to 100 possible points across 4-5 weighted factors, creating a confidence percentage - Signals fire when the best-scoring bullish or bearish pattern exceeds the minimum confidence threshold, volume is above average, and cooldown has elapsed - Doji patterns are flagged separately as neutral reversal warnings 🔶 HOW TO USE 1. Add the indicator to any chart -- the DNA table immediately begins analyzing the current candle 2. Watch the dashboard (top-right) for real-time DNA breakdown: body ratio, wick lengths, range vs ATR, volume, close position, detected pattern, and confidence score 3. BUY arrows fire on high-confidence bullish patterns (Hammer, Bullish Engulfing); SELL arrows fire on bearish patterns (Shooting Star, Bearish Engulfing) 4. Orange diamond markers flag Doji candles as potential reversal warnings -- these are directionally neutral and require additional context 5. Adjust the Min Confidence threshold to control sensitivity: higher values produce fewer but more textbook-quality pattern signals. Always confirm with support/resistance context. 🔶 FEATURES - Non-repainting signals (barstate.isconfirmed) - Works on all timeframes and instruments - 9 alert conditions with JSON webhook support - Weighted confidence scoring system rather than binary pattern matching - Real-time candle DNA dashboard showing six structural metrics, detected pattern, and confidence grade 🔶 SETTINGS GUIDE - ATR Period -- Period for Average True Range, used to contextualize candle size relative to recent volatility - Min Confidence % -- Minimum confidence score required to trigger a signal (higher = stricter) - Volume SMA Length -- Period for the volume simple moving average - Signal Cooldown Bars -- Minimum bars between consecutive signals - Show DNA Table -- Toggle the real-time analysis dashboard - Show Pattern Labels -- Toggle signal labels showing pattern name, confidence, and volume 🔶 ALERTS - Bull Pattern -- High-confidence bullish pattern detected - Bear Pattern -- High-confidence bearish pattern detected - Hammer -- Hammer pattern detected (any confidence) - Shooting Star -- Shooting Star pattern detected - Bull Engulfing -- Bullish Engulfing pattern detected - Bear Engulfing -- Bearish Engulfing pattern detected - Doji -- Doji pattern detected - Any Signal -- Any bullish or bearish pattern signal - Doji Signal -- Doji reversal warning (filtered) 🔶 LIMITATIONS & DISCLAIMER - This is a technical analysis tool, not financial advice. Always use proper risk management. - Past candlestick patterns do not guarantee future price movements. - Pattern scoring is based on single-candle and two-candle formations only; multi-candle patterns like Three White Soldiers are not included. - Confidence percentages reflect structural similarity to ideal patterns, not statistical probability of a successful trade outcome.
Indicatore Pine Script®
di forexobroker
2
Liquidity Sweep Detector [QuantAlgo]🟢 Overview The Liquidity Sweep Detector is a swing-based liquidity tracking tool that identifies moments when price wicks beyond a confirmed swing high or low and closes back inside, then tracks the remaining unswept levels as forward-projecting lines and zones on your chart. It classifies each event by direction (Bullish or Bearish) and maintains a running registry of swing levels that have not yet been visited by price, giving you a live map of where resting stop clusters may still be sitting across any timeframe and market. 🟢 How It Works The indicator identifies swing highs and lows using a pivot detection window that requires a configurable number of bars to the left and right to confirm a valid structural point. The active pivot length and minimum wick penetration are resolved from the selected preset before any detection runs: active_len = preset_config == 'Scalp' ? 5 : preset_config == 'Swing' ? 20 : pivot_len active_min_pct = preset_config == 'Scalp' ? 0.0 : preset_config == 'Swing' ? 0.05 : min_wick_pct A bearish sweep is confirmed when price wicks above the most recent swing high by at least the minimum penetration percentage and closes back below it. A bullish sweep mirrors this on the downside: bearSweep = not na(lastSwingHigh) and high > lastSwingHigh * (1 + active_min_pct / 100) and close < lastSwingHigh bullSweep = not na(lastSwingLow) and low < lastSwingLow * (1 - active_min_pct / 100) and close > lastSwingLow Every confirmed swing point is simultaneously stored in an unswept level registry. Levels are removed when the full candle closes beyond them, or immediately when a sweep is confirmed on that level, so the chart only shows levels price has not yet visited: if bearSweep and array.size(unsweptHighs) > 0 for i = array.size(unsweptHighs) - 1 to 0 if array.get(unsweptHighs, i) == lastSwingHigh array.remove(unsweptHighs, i) array.remove(unsweptHighBars, i) break The indicator also detects when price enters the zone around an unswept level without yet confirming a full sweep. Edge detection ensures the alert fires once on entry rather than on every bar price remains inside the zone: buySideEntry = enteredBuySide and not enteredBuySide sellSideEntry = enteredSellSide and not enteredSellSide 🟢 Key Features ▶ Three Preset Configurations: The indicator includes three presets that override the manual pivot length and minimum wick penetration settings. 1. Default/Custom: A general-purpose configuration suited to swing trading on 4H and daily charts. Confirms swing points that require a reasonable structural context before a sweep is flagged. 2. Scalp: A faster configuration for intraday charts from 1 minute to 15 minutes. Shorter pivot windows capture local swing points that form and get swept within a single session. 3. Swing: A more conservative configuration for daily and weekly charts that requires a more deliberate wick extension before confirming a sweep, filtering out shallow tags at swing levels. ▶ Built-in Alert System: Pre-configured alert conditions cover bearish sweeps, bullish sweeps, any sweep, price entering a buy-side zone, price entering a sell-side zone, and price entering any unswept zone. ▶ Visual Customisation: Choose from five colour presets (Classic, Aqua, Cosmic, Cyber, Neon) or set your own custom colours. Optional candle background highlighting marks sweep bars directly on the chart, and label text size is configurable across four options to suit different chart layouts. 🟢 Important Considerations ▶ Sweep detection references only the most recently confirmed swing high or low at the time each bar closes. On lower timeframes with frequent swing formation, raising the pivot length focuses detection on more structurally significant levels and reduces signal frequency on choppy charts. ▶ The indicator works best as a contextual layer within an existing trading framework. Sweep signals indicate that price has moved beyond a swing level and closed back inside, which is a useful data point, but should be read alongside your system and market context rather than used as a standalone trigger.
Indicatore Pine Script®
di QuantAlgo
Sovereign Trade Setup [Pro]Sovereign Trade Setup 👑 Stop manually calculating risk. Stop drawing messy lines. And most importantly—stop staring at the chart waiting for your levels to hit. The Sovereign Trade Setup is a premium, fully interactive visual trade manager designed to bridge the gap between trade ideation and flawless execution. Built with modern UI/UX principles, this indicator allows you to map out your entire trade directly on the chart using point-and-click mechanics, dynamically calculates your exact position size, and acts as an automated sentinel that alerts you the exact second your parameters are breached. 🌟 Key Features Interactive Point & Click Setup: No more typing numbers into settings menus. When you add the indicator, simply click the chart to anchor your Start Time, Entry Zone (High/Low), Stop Loss, and Take Profit targets. Hold Ctrl / Cmd (or use Magnet Mode) to snap directly to candle highs and lows! Auto-Direction Detection: Whether you are planning a Long breakout or a Short breakdown, the script instantly calculates the math. It compares your Entry to your Stop Loss and flips all logic and visual colors automatically. Dynamic Risk & Position Sizing Calculator: Input your total Account Balance and Risk Percentage (%). The indicator instantly calculates your maximum dollar risk and tells you exactly how many units/shares you need to buy to mathematically protect your capital. Pro-Grade Visuals & HUD: Features a sleek, translucent heads-up display (HUD) that tracks your real-time Risk-to-Reward (R:R) ratios and the exact status of your trade (Pending, Filled, Hit, or Stopped). Visuals can be fully customized or toggled off to keep your chart clean. 🚨 The Crown Jewel: State-Based "Set & Forget" Alerts 🚨 Trading should be about executing a plan, not babysitting a 1-minute candle. This indicator features a highly advanced, sequential alert system designed to prevent notification spam and only notify you when it matters. How the Alert Engine Works: The script remembers the "state" of your trade. It will only alert you to a Take Profit or Stop Loss if your Entry Zone has actually been filled first. Furthermore, if you get stopped out, it completely disables the Take Profit alerts so you don't get false positives later in the week. You can configure 4 distinct, single-fire alerts: 🟢 Entry Hit: Price has officially dropped into your setup zone. 🔴 Stop Loss Hit: Your invalidation level was breached. Trade over. 🎯 Take Profit 1 Hit: First target reached. Time to scale out or move stops. 🚀 Take Profit 2 Hit: Final target reached. How to set it up: Once your levels are drawn on the chart, click the Alert icon (the clock) in TradingView. Select "Sovereign Trade Setup " as the condition, choose "Any alert() function call", and let the indicator do the heavy lifting. Go live your life, and let your phone notify you when it's time to act! 📖 How to Use Add to Chart: Apply the indicator to your chart. Point & Click: TradingView will prompt you to click the chart 6 times. Click 1: Set the Start Time (click the specific candle where your setup begins so the script ignores historical data). Clicks 2-6: Set your Entry Zone boundaries, Stop Loss, and Take Profit levels. Fine-Tune: Open the indicator settings (⚙️) to micro-adjust your exact price levels to the penny, input your account balance, or customize your colors. Set Your Alerts: Create an alert using the "Any alert() function call" condition. Walk Away: Let the Sovereign Trade Setup watch the market for you.
Indicatore Pine Script®
di SovereignCharts
Nexus Fusion Engine ML [WillyAlgoTrader]🧠 Nexus Fusion Engine ML is a non-overlay oscillator that fuses three independent momentum measurements into a single adaptive line (0–100), enriched with a K-Nearest Neighbors directional bias engine, volatility-normalized volume flow, automatic divergence detection (regular + hidden), momentum fatigue warnings, higher-timeframe bias, and a weighted confluence meter — delivering a complete momentum analysis system in one pane. The core insight: a single momentum reading is noisy. Two readings averaged together are still fragile. But three fundamentally different momentum perspectives — directional velocity, efficiency-weighted impulse, and stochastic range position — blended in proportion to current market regime, produce a reading that adapts to trend and range conditions without manual switching. Layer a KNN classifier trained on live features, volume confirmation, and multi-timeframe alignment on top, and every signal carries measurable confluence. Works on any market (crypto, forex, stocks, futures, indices) and any timeframe. 🧩 WHY THESE COMPONENTS WORK TOGETHER A standard RSI or stochastic tells you where price sits in its recent range — but it has no concept of trend quality, volume confirmation, or historical pattern similarity. You get overbought readings in strong trends that never reverse. You get crossover signals with zero volume support. You get divergences with no structural confirmation. Nexus Fusion Engine ML solves this by chaining every subsystem into an integrated pipeline: Adaptive Momentum Fusion (3 components) → Signal Line Crossover → Volume Flow Confirmation → Efficiency Ratio Regime Detection → KNN Pattern Matching → Higher-Timeframe Bias → Confluence Meter (weighted vote of all subsystems) The AMF engine produces an adaptive oscillator that automatically shifts its blend toward trend-measuring components (NROC + EWI) when the Efficiency Ratio is high, and toward range-measuring components (SMP) when the market is choppy. The signal line catches crossovers. Volume Flow confirms whether real buying or selling pressure backs the move. The Efficiency Ratio classifies the regime (trending vs ranging). The KNN engine finds historically similar conditions and votes on the most likely next-bar direction. The HTF bias filters noise by confirming alignment with the higher timeframe. Finally, the Confluence Meter aggregates all six sources into a single 0–100 score — so you see at a glance how many independent systems agree. Without adaptive blending, the oscillator would either lag in trends or whipsaw in ranges. Without volume flow, signals lack confirmation. Without KNN, you have no statistical context. Without confluence scoring, you must mentally juggle six independent readings. The integration chain converts raw momentum data into actionable, scored, confirmed intelligence. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive Momentum Fusion (AMF) — three-component blended oscillator. The engine computes three independent momentum measurements on every bar: — NROC (Normalized Rate of Change): measures directional price velocity. Formula: ROC = (source − source ) / source × 100, smoothed with the selected method, then min-max normalized over a 3×N window to 0–100. — EWI (Efficiency-Weighted Impulse): measures bar-to-bar impulse scaled by trend quality. Formula: impulse = change(source) / ATR(N) × ER, smoothed and normalized over a 4×N window to 0–100. High ER amplifies the impulse; low ER suppresses it. — SMP (Stochastic Momentum Position): maps price within its recent range. Formula: (source − lowest(N)) / (highest(N) − lowest(N)) × 100, smoothed with EMA(N/2). The blend is adaptive: — trendWeight = min(ER_smoothed × 1.5, 0.75) — rangeWeight = 1.0 − trendWeight — oscRaw = trendWeight × (NROC × 0.55 + EWI × 0.45) + rangeWeight × SMP When the market is trending (high ER), the oscillator favors NROC and EWI (directional components). In ranging conditions (low ER), it leans on SMP (range-mapping component). The final value is clamped to 0–100 after a short smoothing pass (N/3 bars). 2️⃣ Candle Anatomy Volume Flow — continuous directional volume scoring. Instead of binary close > open direction, the volume flow uses a candle anatomy model that scores each bar from −1.0 to +1.0: — candleScore = bodyDirection × bodyRatio × 0.7 + wickBias × 0.3 — bodyRatio = |close − open| / (high − low) — wickBias = (lowerWick − upperWick) / (high − low) A full bullish candle with no upper wick scores +1.0. A doji scores near 0. A pin bar with a long lower wick and small body scores +0.3 to +0.6. The signed volume (candleScore × volume) is normalized by ATR × average volume, producing a Volatility-Normalized Volume Flow (VNVF). A dual-EMA blend (fast = 0.6×N, slow = 1.4×N, weighted 60/40) is then rescaled to 0–100 via dynamic peak normalization. Values above 50 indicate net buying pressure; below 50, net selling pressure. 3️⃣ KNN Directional Bias — Manhattan distance + inverse-distance weighted voting. A K-Nearest Neighbors classifier runs on four live features: — M (Momentum): oscVal / 100 — V (Volume Flow): vfVal / 100 — X (Signal Cross State): (oscVal − sigVal + 50) / 100 — E (Efficiency): ER_smoothed, clamped 0–1 On each bar, the previous bar's features are stored with the current bar's outcome (up / down / flat, determined by ATR-threshold price change). To find the current bias, the engine computes Manhattan distance from the current feature vector to every historical sample in the training window (default 120 bars), applies a recency bonus (recent bars get a slight distance reduction), selects the K nearest neighbors (default K = 5), and takes an inverse-distance weighted vote. Result: a KNN bias score 0–100. Above 58 = bullish bias. Below 42 = bearish bias. The KNN panel displays direction, confidence percentage, a visual bar, feature states (M+/M−, V+/V−, E+/E−, X+/X−), and current regime. 4️⃣ Regular + Hidden Divergence with Structural Filter. The divergence detector identifies pivot highs and lows on the oscillator (lookback = N/2 bars each side), then compares consecutive pivots: — Regular Bullish: price makes a lower low, oscillator makes a higher low → potential reversal up. — Regular Bearish: price makes a higher high, oscillator makes a lower high → potential reversal down. — Hidden Bullish: price makes a higher low, oscillator makes a lower low → uptrend continuation. — Hidden Bearish: price makes a lower high, oscillator makes a higher high → downtrend continuation. The optional Structural Filter suppresses weak divergences by requiring: — Minimum oscillator swing between pivots (default 5.0 points) — Minimum price swing as % of recent range (default 0.3%) — Volume flow confirmation (volume flow must agree with divergence direction) — Maximum pivot age (default 100 bars) — prevents stale pivots from triggering false signals Divergence lines are drawn solid (regular) or dashed (hidden) with configurable opacity. Labels: D▲ D▼ for regular, H▲ H▼ for hidden. 5️⃣ Regime Detection — Efficiency Ratio + 4-factor composite score. The regime module scores the current market state from 0 to 4: — +1 if oscillator > signal line — +1 if oscillator > 50 (bullish territory) — +1 if volume flow > 50 (net buying) — +1 if Efficiency Ratio > 0.3 (trending market) Score 4 = strong bullish trend → full bull fill in the OB zone. Score 0 = strong bearish trend → full bear fill in the OS zone. Scores 1–3 = transitional states with reduced opacity. The Efficiency Ratio itself uses the Kaufman formula: ER = |price − price | / sum(|price − price |, N), measuring how much of total price movement is directional. 6️⃣ Confluence Meter — 6-source weighted composite score. Six independent subsystems vote bullish (+1), bearish (−1), or neutral (0): — Oscillator position (>55 bull, <45 bear) — Signal cross direction (osc > sig = bull) — Volume Flow (>55 bull, <45 bear) — Efficiency-confirmed direction (ER > 0.3 + oscillator side) — KNN Bias (bull/bear state) — HTF Bias (bull/bear state) Net votes mapped: confRaw = (bullVotes − bearVotes + 6) / 12 × 100, smoothed with EMA(3). Above 70 = strong bullish confluence. Below 30 = strong bearish confluence. Displayed as a thin step-line on the oscillator pane. 7️⃣ Higher-Timeframe Bias — non-repainting HTF confirmation. Fetches the oscillator and signal values from a user-selected higher timeframe using request.security() with offset + lookahead_on = previous closed HTF bar. This guarantees zero repainting. HTF is considered bullish when HTF oscillator > 50 and HTF oscillator > HTF signal; bearish when the reverse. 8️⃣ Momentum Fatigue Detection — consecutive weakening in extreme zones. When the oscillator is above the OB level and declining for N consecutive bars (default 3), a fatigue label (✦ OB) appears — signaling that buying momentum is weakening even though the oscillator remains overbought. Mirror logic applies in the oversold zone (✦ OS). This early warning often precedes crossover signals by several bars. 9️⃣ Six smoothing algorithms with preset system. The smoothing engine supports EMA, SMA, DEMA (double-exponential), TEMA (triple-exponential), WMA (weighted), and VWMA (volume-weighted). Four presets instantly configure period, smoothing, and zone levels: — Scalping: period 8, OB 75, OS 25 — Default: period 14, OB 80, OS 20 — Swing: period 21, OB 80, OS 20 — Position: period 34, OB 85, OS 15 🔟 Full alert suite with webhook JSON support. 12 alert conditions covering every subsystem: bull/bear cross, OB/OS zone exit, regular/hidden divergence, volume flow inflow/outflow, fatigue OB/OS, KNN bias flip, confluence threshold cross. Each alert includes ticker, timeframe, price, and oscillator value. Toggle webhook mode to send JSON payloads for bot integration. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Warmup guard: The indicator requires 3× the engine period (minimum 60 bars) before producing any signals, divergences, or KNN output. This prevents false signals from insufficient data. Step 2 — AMF oscillator computation: Three momentum components (NROC, EWI, SMP) are computed independently, each normalized to 0–100. The Efficiency Ratio determines the blend weights. The raw blend is smoothed with the selected algorithm over N/3 bars and clamped to 0–100. Step 3 — Signal line: The oscillator is smoothed again with a separate method and period (default EMA 7) to produce the signal/trigger line. Crossovers between oscillator and signal generate dots and alerts. Step 4 — Volume Flow: Each candle is scored using candle anatomy (body ratio + wick bias). Signed volume is normalized by ATR × average volume. A dual-EMA blend is rescaled to 0–100 via dynamic peak normalization. Step 5 — Regime scoring: Four binary conditions (osc > sig, osc > 50, VF > 50, ER > 0.3) produce a regime score 0–4. This score drives zone fills. Step 6 — Divergence scan: Pivot highs and lows are detected on the oscillator. Consecutive pivots are compared for regular and hidden divergence patterns. The Structural Filter (optional) suppresses weak signals. Step 7 — Fatigue check: Consecutive declining bars in the OB zone (or rising bars in the OS zone) are counted. After N bars (default 3), a fatigue label fires. Step 8 — KNN classification: Four features from the current bar are compared to the training window via Manhattan distance. The K nearest neighbors vote with inverse-distance weighting. Result: KNN bias 0–100. Step 9 — HTF bias fetch: Oscillator and signal are fetched from the higher timeframe using previous-bar lookahead to prevent repainting. Step 10 — Confluence aggregation: Six subsystems cast bull/bear/neutral votes. Net votes are mapped to 0–100 and smoothed. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator to your chart. It appears as a separate oscillator pane below price. 2. Select a preset matching your trading style: Scalping (fast), Default (balanced), Swing, or Position (slow). 3. If you trade a higher timeframe, set the HTF Bias timeframe (e.g., for a 15min chart, set HTF to 60). 4. Watch for the oscillator line crossing the signal line inside the OB/OS zones — these are the primary signals. 5. Check the dashboard (top-left by default) and KNN panel for confluence confirmation before acting. 👁️ Reading the chart: — 🟢 Green oscillator line = momentum is in bullish territory (above midline) or in the overbought zone. — 🔴 Red oscillator line = momentum is in bearish territory (below midline) or in the oversold zone. — Thin gray signal line = trigger line for crossover signals. — 🟢 Green dot on signal line = bullish crossover (oscillator crossed above signal). — 🔴 Red dot on signal line = bearish crossover (oscillator crossed below signal). — 🟢 Green fill between oscillator and midline = bullish momentum with gradient intensity. — 🔴 Red fill between oscillator and midline = bearish momentum with gradient intensity. — 🟢 Green volume flow fill (above 50) = net buying pressure. — 🔴 Red volume flow fill (below 50) = net selling pressure. — D▲ / D▼ labels with solid lines = regular (reversal) divergence. — H▲ / H▼ labels with dashed lines = hidden (continuation) divergence. — ✦ OB / ✦ OS labels = momentum fatigue warning in extreme zones. — Regime fills in OB/OS zones = colored fills when regime score reaches 3–4 (bull) or 0–1 (bear). — Thin step-line = confluence meter (above 70 = strong bullish, below 30 = strong bearish). 📊 Dashboard fields: — Trend: Bullish (osc > 60) / Bearish (osc < 40) / Neutral. — Signal: Latest signal event — Bull Cross, Bear Cross, Overbought, Oversold, or none. — Strength: Strong (osc ≥ 70 or ≤ 30) / Medium / Weak. — Oscillator: Current numeric oscillator value. — Momentum: Acceleration state — Accel ▲ (gaining speed) / Decel ▼ (losing speed) / Steady. — HTF Bias: Higher-timeframe direction — Bullish / Bearish / Neutral / OFF. — Vol Flow: Inflow (VF > 60) / Outflow (VF < 40) / Neutral / N/A (no volume data). — Regime: Trending (ER > 0.3) / Ranging. — KNN Bias: KNN directional output — Bullish / Bearish / Neutral. — Confluence: Composite reading with label — Strong Bull / Lean Bull / Mixed / Lean Bear / Strong Bear. — ER: Current Efficiency Ratio value. — Score: Regime score (0–4). — Consensus: Raw bull vs bear vote count (e.g., 5B / 1S). 🔧 Tuning guide: — Too many signals / whipsaw: Increase Engine Period (try 21 or 34), or switch to the Swing / Position preset. Enable the Structural Filter for divergences. — Too few signals / too slow: Decrease Engine Period (try 8–10), or use the Scalping preset. Lower the Confirmation Bars for fatigue to 1–2. — Divergences feel noisy: Enable the Structural Filter. Increase Min Osc Swing (try 8–10). Enable Require Volume Confirmation. Lower Max Pivot Age to 50–60. — KNN seems random: Increase K (try 8–10) for more conservative voting. Increase Training Window to 200–300 for more historical data. KNN works best on liquid instruments with sufficient bar history. — Volume flow shows N/A: The instrument has no volume data (some forex pairs, indices). Volume Flow and its contribution to regime/confluence will be inactive. — HTF Bias always neutral: Make sure the HTF timeframe is actually higher than your current chart timeframe. An empty field = same timeframe (no filtering). 💡 Trading ideas: — Crossover in extreme zone: Wait for the oscillator to enter the oversold zone (below 20), then watch for a bullish cross of the signal line. Confirm with volume flow turning green and KNN showing bullish. The reverse applies for overbought bearish crosses. — Divergence + fatigue combo: A regular bullish divergence (D▲) appearing near or shortly after a ✦ OS fatigue label is a strong reversal setup. Both systems independently detect weakening bearish momentum. — Confluence filter: Only take trades when the Confluence Meter is above 70 (for longs) or below 30 (for shorts). This ensures at least 4–5 out of 6 subsystems agree. — Regime-aware strategy: When the dashboard shows "Trending" and the regime score is 3–4, favor trend-following entries (hidden divergences, pullbacks to midline). When "Ranging" with score 1–2, favor mean-reversion entries (regular divergences, OB/OS zone fades). — Multi-timeframe alignment: Set the HTF to 4× your chart timeframe (e.g., 1H chart → 4H HTF). Only take long entries when HTF Bias = Bullish, and shorts when HTF Bias = Bearish. This one filter alone can significantly reduce false signals. ⚙️ KEY SETTINGS REFERENCE ⚙️ Main Settings: — Engine Period (default 14): Core lookback for the AMF engine. 8–12 = scalping, 14 = balanced, 20–50 = swing/position. — Source (default close): Price input. Close = standard, HLC3 = smoother, OHLC4 = smoothest. — Smoothing (default DEMA): Algorithm for oscillator core. DEMA recommended for fast and smooth response. — Preset (default Default): Quick configuration — Scalping / Default / Swing / Position. — Signal Period (default 7): Smoothing for the trigger line. Keep below Engine Period. — Signal Smoothing (default EMA): Method for the signal line. — Show Cross Dots (default ON): Dots at oscillator–signal crossover points. 📐 Zones & Fills: — Overbought Level (default 80): Upper extreme threshold. — Oversold Level (default 20): Lower extreme threshold. — OB/OS Fill Opacity (default 20): Zone fill transparency. 📊 Volume Flow: — Show Volume Flow (default ON): Toggle the VNVF overlay. — Volume Flow Opacity (default 18): Fill transparency. Keep 10–25 so the oscillator stays visible. 🔬 Regime Detection: — Show Regime State (default ON): Toggle regime zone fills. — Regime OB/OS Opacity (default 35): Fill transparency for regime fills. 🔀 Divergence: — Regular Divergence (default ON): Reversal divergence detection. — Hidden Divergence (default ON): Continuation divergence detection. — Structural Filter (default OFF): Suppresses weak divergences. When ON, uses Min Osc Swing (default 5.0), Min Price Swing % (default 0.3%), and Volume Confirmation. — Max Pivot Age (default 100 bars): Maximum distance between divergence pivots. 💨 Momentum Fatigue: — Show Fatigue Labels (default ON): Toggle fatigue warnings. — Confirmation Bars (default 3): Consecutive weakening bars required. 1 = fast, 5 = strict. 🧠 KNN Bias: — Show KNN Panel (default ON): Toggle the AI panel. — Neighbors (K) (default 5): Voting neighbors. 3 = fast, 10+ = conservative. — Training Window (default 120): Historical bars for learning. 50 = short memory, 300+ = long memory. 🔭 Higher Timeframe: — Show HTF Bias (default ON): Toggle HTF filter. — Higher Timeframe (default empty = current TF): Select a higher TF for meaningful bias. 🎯 Confluence: — Show Confluence Meter (default ON): Toggle the composite score line. — High Confluence (default 70): Threshold for strong bullish confluence. — Low Confluence (default 30): Threshold for strong bearish confluence. 🎨 Visual: — Theme (default Auto): Auto-detects chart background. Force Dark or Light as needed. — Adaptive Line Color (default ON): Oscillator color shifts with momentum direction. — Bull/Bear Colors : Customizable green/red palette. 🔔 ALERTS — 🟢 Bull Cross — oscillator crosses above signal line below the midline. Payload: ticker, TF, price, osc value. — 🔴 Bear Cross — oscillator crosses below signal line above the midline. Payload: ticker, TF, price, osc value. — 🟢 Exit Oversold — oscillator crosses above OS level. — 🔴 Exit Overbought — oscillator crosses below OB level. — 🟢 Regular Bull Divergence — D▲ detected (passes structural filter if enabled). — 🔴 Regular Bear Divergence — D▼ detected. — 🟢 Hidden Bull Divergence — H▲ detected. — 🔴 Hidden Bear Divergence — H▼ detected. — 🟢 Volume Inflow — volume flow crosses above 50. — 🔴 Volume Outflow — volume flow crosses below 50. — ⚠️ OB Fatigue — buying momentum weakening in overbought zone. — ⚠️ OS Fatigue — selling momentum weakening in oversold zone. — 🧠 KNN → Bull — KNN bias flips to bullish. — 🧠 KNN → Bear — KNN bias flips to bearish. — 🎯 Confluence High — confluence meter crosses above high threshold (default 70). — 🎯 Confluence Low — confluence meter crosses below low threshold (default 30). All alerts support plain text and JSON webhook format (toggle in settings). Alerts fire once per bar. ⚠️ IMPORTANT NOTES — 🚫 Divergence timing. Pivots are detected with equal left/right lookback (N/2 bars). This means the divergence line and label appear at the confirmed pivot bar, which is N/2 bars in the past. This is delayed confirmation, not repainting — the signal does not change once it appears. — 🚫 HTF bias does not repaint. The higher-timeframe values use the previous closed HTF bar ( offset + barmerge.lookahead_on). The HTF reading updates only when a new HTF bar closes. — 📐 KNN is not a crystal ball. The KNN classifier finds similar historical conditions and votes on direction. It does not predict the future — it provides statistical context based on the training window. In low-liquidity or unusual market conditions, historical patterns may not repeat. — 📐 Volume Flow requires volume data. On instruments without volume (some forex feeds, certain index CFDs), Volume Flow displays N/A and its contribution to regime scoring and confluence voting is inactive. — ⚖️ Warmup period. The indicator needs 3× Engine Period (minimum 60 bars) of data before producing output. On very low-timeframe charts with limited history, some subsystems may not activate. — 🛠️ This is an analysis tool, not an automated trading bot. It provides momentum analysis, volume confirmation, pattern recognition, and confluence scoring — trade decisions remain yours. — 🌐 Works on all markets and all timeframes. Optimized for liquid instruments with volume data. Version: v1.2.1
Indicatore Pine Script®
di WillyAlgoTrader
[ A L P H A X ] Impulse Bands - Adaptive Trend EngineAlphaX Impulse Bands — ATR-Normalized Adaptive Trend Engine, Impulse Freshness System, Multi-Confluence Confidence Scoring & Smart Retest Detection AlphaX Impulse Bands is a professional-grade adaptive trend following system built on a proprietary ATR-normalized impulse detection engine that continuously measures the strength, direction, and freshness of every price move. It delivers dynamic bands that physically breathe with volatility — tightening during fresh, high-conviction impulses and expanding during stale, uncertain market conditions. Three visual layers — the Trend Cloud, entry labels, and precision retest lines — work together with a multi-factor confidence scoring system and a triple-timeframe Williams %R confirmation gate to produce only the highest-quality signals. Designed for active traders across crypto, forex, indices, and commodities on any timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Impulse Engine — How It Works At the core of AlphaX Impulse Bands is the ATR-Normalized Impulse Engine — a proprietary system that measures momentum in a way that is consistent and comparable across all instruments and timeframes. Most adaptive band systems measure impulse by dividing price movement against MAD (Mean Absolute Deviation), which produces readings that vary wildly between low-volatility forex and high-volatility crypto. AlphaX Impulse Bands solves this by normalizing against ATR (Average True Range) instead — the same unit every professional volatility model uses. The result is an impulse score that means the same thing whether you are trading XAUUSD on M1 or BTC on H4. How the impulse is calculated: Raw Impulse — measures how far price has moved over the Impulse Lookback period, divided by ATR. If this movement exceeds the threshold (1.0×ATR), a new impulse event is registered. Impulse Direction — records whether the detected impulse is bullish or bearish, held in state until the next impulse event fires. Impulse Decay — once registered, the impulse strength decays each bar at the configured Decay Rate. This creates a natural fade — recent moves carry full weight, older moves gradually lose influence. Impulse Freshness — a normalized 0–100% score derived from current impulse strength. Fresh = high confidence. Stale = caution. Impulse Momentum — the rate of change of freshness across the last 3 bars. Used by the confidence scoring system to distinguish an impulse that is building from one that has already peaked and is fading. This multi-layer approach means the indicator is not just reacting to where price is — it is continuously answering the question: how energetic is the current move, and is that energy rising or falling? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 The Adaptive Bands — Breathing With Volatility The bands are not fixed-width channels. They are living boundaries that respond to both market volatility and impulse freshness simultaneously. Band structure: Basis EMA — a trend-length EMA of close, forming the center reference line plotted as a subtle gray line MAD (Mean Absolute Deviation) — the volatility engine. Unlike ATR, MAD measures the average deviation of closes from their recent mean — capturing the texture of price noise directly Band Multiplier — dynamically calculated each bar as a blend between Band Min and Band Max, weighted by current Impulse Freshness The key relationship: When a fresh impulse fires → Freshness = high → Multiplier moves toward Band Min → Bands tighten — price is in a high-conviction directional move, the bands hug it closely As the impulse decays → Freshness falls → Multiplier moves toward Band Max → Bands expand — uncertainty is rising, the bands widen to reflect the broader range of possible outcomes A very stale market with no active impulse → Freshness near zero → Full Band Max width → Maximum caution zone This means the bands are effectively a real-time confidence visualizer . A trader glancing at the chart immediately understands: tight bands = strong move in progress, wide bands = market searching for direction. Band Squeeze Detection: The dashboard continuously displays band width as a percentage of price. When this drops below 2%, the dashboard flags SQUEEZE — a powerful pre-breakout warning that a large directional move is loading. Wider than 7% is flagged as WIDE — indicating elevated uncertainty or a post-impulse cool-down. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ☁ The Trend Cloud The Trend Cloud is a gradient-filled area plotted around price that provides instant visual identification of trend direction and structural support/resistance. How the cloud is constructed: Cloud Outer — the outer boundary of the cloud, positioned at the lower band during a bull trend and the upper band during a bear trend Cloud Inner — the inner boundary, sitting 45% of MAD inside the outer boundary — this inner line is the key level the Retest Engine watches Cloud Fill — gradient-shaded between inner and outer: yellow-green for bullish trend, red for bearish trend, opacity-graded for visual depth Reading the cloud: Price riding above an expanding yellow-green cloud → strong bull trend, cloud is acting as dynamic support Price riding below an expanding red cloud → strong bear trend, cloud is acting as dynamic resistance Cloud thin or collapsed → no meaningful impulse active, potential consolidation or trend transition zone Cloud color switching rapidly → choppy market, reduce position size or stand aside ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal System — Three Layers AlphaX Impulse Bands produces three distinct signal types, each serving a specific role in the trade lifecycle: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1 ─ Entry Labels ( ▲ S/A/B % / ▼ S/A/B % ) Entry labels fire when the indicator detects a confirmed trend flip — price breaking through the outer band with sufficient impulse and WPR confirmation. Each label carries two pieces of information: Tier — S, A, or B. Determined by the confidence score at signal time (S = 70%+, A = 55–69%, B = 25–54%) Confidence % — the raw score from the confidence engine, printed directly on the label Label colors reflect tier quality: S-Tier — brightest yellow-green (bull) or bright red (bear) — highest conviction setup A-Tier — primary yellow-green or primary red — strong setup B-Tier — dimmer shades — valid but lower conviction, consider smaller size A Signal Cooldown prevents multiple labels firing on the same trend flip during fast, multi-bar breakouts. Only signals that pass the minimum confidence threshold, the WPR confirmation gate, and the cooldown check are displayed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Retest Lines ( ✦ ) After a trend flip is confirmed and the Signal Buffer period has passed, the Retest Engine activates. It watches for price to pull back into the Cloud Inner boundary — the institutional re-entry zone where trends historically find continuation. When a valid retest is detected: A ✦ diamond marker appears at the retest bar — yellow-green for bull retests, red for bear retests A horizontal retest line is drawn from the retest bar extending forward by the configured number of bars — giving you a clear price level to watch for re-entry or stop placement A Retest Cooldown prevents line spam — minimum 55 bars between consecutive retest lines by default Retest signals represent the continuation trade opportunity — where traders who missed the initial flip can enter at a structurally superior price, with the cloud now acting as confirmed support or resistance behind them. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Exit Markers ( ✕ ) Exit markers appear when one of two conditions is met: Trend Flip Exit — the opposite trend signal fires, indicating the trend has definitively reversed WPR Exhaustion Exit — the Fast WPR crosses through the configured exit level (default: above -15 for longs, below -85 for shorts), indicating momentum exhaustion in the direction of the trade. A minimum bars-in-trade requirement prevents premature WPR exits on the opening bars of a position. Exit markers are not necessarily a signal that the trend is over. They indicate that the current momentum leg is likely complete . Use them to: Take partial or full profit at the exhaustion point Tighten stop loss to protect gains Wait for the next ✦ retest signal before re-entering if the trend remains intact ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Multi-Confluence Confidence Scoring Every entry signal is evaluated in real time by the AlphaX Confidence Engine — a multi-factor scoring system that produces a score from 0 to 100 and assigns it a tier. Only signals meeting your configured minimum threshold are displayed. Bull Confidence Factors: Trend Flip Freshness (up to 25 points) Maximum score awarded only when the signal fires on the exact bar of the trend flip — confirming you are at the very beginning of the move, not chasing it Impulse Freshness (up to 20 points) The higher the current freshness reading, the more points awarded. A fully fresh impulse (80%+) scores 20 points; a stale impulse (below 20%) scores zero Impulse Direction Alignment (up to 10 points) Full points when the internal impulse direction agrees with the signal direction. Zero when it conflicts — a powerful cross-check that catches whipsaw moves where price crossed the band but momentum is still against you WPR Oversold Depth (up to 15 points) How deeply the Fast WPR penetrated oversold territory. Deeper = higher spring-loaded reversal potential = more points. WPR below -95 scores the maximum; WPR above -80 scores zero WPR Cross Timing (up to 10 points) A confirmed WPR cross back above the oversold level scores 10 points. Fast upward velocity scores 7. General bullish recovery scores 4 WPR Multi-Timeframe (up to 8 points) Triple WPR convergence (all three timeframes in oversold) scores 8 points. Medium WPR alone in oversold scores 5 WPR Slow Alignment (up to 5 points) When the Slow WPR confirms the macro trend direction, additional points are awarded Candle Quality (up to 5 points) A bullish close with body ratio above 50% scores 5 points. Any bullish close scores 2. Bearish closes score zero Volume Surge (up to 5 points) Volume 1.5× or more above the 20-bar SMA scores 5 points. Volume above the SMA scores 2 Impulse Momentum (up to 5 points) When impulse strength is actively building (positive momentum) additional points are awarded — distinguishing a move that is accelerating from one that is about to stall Penalty Deductions: Slow WPR in extreme overbought territory → -8 points (macro trend fighting the signal) Fast WPR still in overbought zone → -5 points Impulse nearly completely stale (freshness below 10%) → -10 points Extreme WPR velocity (likely spike or wick move) → -5 points The bear confidence scoring system mirrors this structure in reverse, with all conditions flipped for short setups. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📡 Triple WPR Confirmation Gate All signals pass through the WPR Confirmation Gate before being displayed. This is a separate binary filter — independent of the confidence score — that blocks signals when the oscillator context fundamentally disagrees with the signal direction. The gate requires at least one of the following to be true before a bull signal can fire: Fast WPR is in oversold territory Fast WPR has just crossed back above the oversold level Fast WPR is in a bullish recovery pattern (rising for 2+ bars) WPR Slow and Medium are both in the bullish alignment zone The same logic applies in reverse for bear signals. This gate can be toggled off in settings for traders who want band crossings alone to trigger signals, but it is on by default — and is one of the primary reasons AlphaX Impulse Bands produces significantly fewer false signals than typical adaptive band systems. Three WPR timeframes run simultaneously and feed both the gate and the confidence scoring: WPR Fast (8) — the primary signal oscillator, reacts immediately to price action WPR Medium (21) — the intermediate trend filter, confirms the broader momentum context WPR Slow (55) — the macro trend anchor, determines whether the overall market structure supports the signal Triple WPR Convergence — when all three timeframes simultaneously reach extreme levels — is flagged on the dashboard as ALL OVERSOLD or ALL OVERBOUGHT and awarded maximum bonus points in the confidence engine. This is the highest-quality WPR condition the system can detect. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Live Dashboard The real-time dashboard displays the complete internal state of the indicator across five sections, updated on every bar close. IMPULSE ENGINE Impulse Strength — qualitative label (EXTREME / STRONG / MODERATE / WEAK / FADING) based on the raw impulse value Freshness — current freshness percentage with qualitative state (FRESH / ACTIVE / FADING / STALE). Highlighted in yellow-green when above 70% — the highest-confidence zone Impulse Direction — the direction of the most recent registered impulse (BULLISH / BEARISH) Band Width — current band width as a percentage of price, with SQUEEZE or WIDE flags when applicable OSCILLATORS WPR Fast / Med / Slow — current values with zone labels (OB / OS / MID for fast and medium, BULL / BEAR / NEUT for slow) WPR Velocity — the rate of change of Fast WPR (FAST UP / RISING / FLAT / FALLING / FAST DOWN) — critical for timing entries within a move WPR Alignment — whether Slow and Medium WPR are in the bull zone, bear zone, or neutral Triple WPR — flags ALL OVERSOLD or ALL OVERBOUGHT when all three timeframes converge, with background color highlight TREND STATE Trend — current trend direction (BULLISH / BEARISH / UNDEFINED) with background color highlight Trend Bars — the number of consecutive bars the current trend direction has been active Price vs EMA — how far the current close is from the Basis EMA as a percentage, with directional color coding CONFIDENCE Bull Conf / Bear Conf — current confidence scores with tier labels (S-TIER / A-TIER / B-TIER / BELOW MIN) Volume — current volume state (SPIKE / HIGH / NORMAL / DRY) with the volume ratio multiplier TRADE STATUS Position — current tracked position (LONG / SHORT / FLAT) with background highlight Entry Price — the close price at which the active signal fired Open P&L — live unrealized profit and loss in both price and percentage terms, color-coded green/red WPR Exit Watch — warns ⚠ NEAR BULL EXIT or ⚠ NEAR BEAR EXIT when the Fast WPR is approaching the configured exhaustion level — giving you advance notice before the exit trigger fires ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Identifying Choppy / Low-Quality Market Conditions Knowing when not to trade is just as valuable as knowing when to enter. AlphaX Impulse Bands gives you multiple clear visual and dashboard cues that the market is in a low-quality state: Visual cues to stand aside: Bands are very wide and expanding — the dashboard Band Width reading is high and climbing. No active impulse is driving direction — the market is searching, not trending Trend Cloud is thin or collapsing — when the cloud inner and outer converge, there is no structural trend backing any move. Wait for the cloud to separate and take on clear color Freshness dashboard shows STALE — the last impulse has fully decayed and no new one has fired. Any price movement is low-energy and likely to reverse or stall WPR Alignment shows NEUTRAL — neither the slow nor medium WPR are confirming a directional bias. Signals firing in this environment carry the lowest reliability Rapid trend color switching — if candles are alternating rapidly between yellow-green and red, the system is detecting micro-trend flips. The cooldown will block most signals, but the underlying message is clear: this is a range, not a trend No entry labels appearing despite trend flips — when the bands are crossing but no labels appear, the confidence engine and WPR gate are filtering them out. This is the system explicitly telling you: these setups do not meet the quality threshold What to do: Do not force entries — wait for a fresh impulse to register (Freshness dashboard turns FRESH with yellow-green highlight) Wait for Band Width to compress into SQUEEZE territory — this signals energy is coiling for a directional move Look for Triple WPR convergence on the dashboard — ALL OVERSOLD or ALL OVERBOUGHT are the highest-conviction pre-signal states After a trend flip label, wait for the first ✦ retest signal before committing capital — the retest confirms the trend has real momentum behind it and is not a false start ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Impulse Bands — Step by Step Step 1 — Read the Dashboard Check Freshness: is the market FRESH or STALE? Check Band Width: is it squeezing or expanding? Check WPR Alignment: do the oscillators agree on direction? If all three are neutral or negative → do not trade. Wait for setup conditions to develop. Step 2 — Wait for a Trend Flip Label A ▲ label below the bar (bull) or ▼ label above the bar (bear) sets your directional bias Read the tier and confidence printed on the label. S-Tier is the strongest; B-Tier warrants smaller size Do not enter directly on the label — the optimal entry comes next Step 3 — Enter on Retest ( ✦ ) After the Signal Buffer period passes, watch for price to pull back into the Cloud Inner zone When a ✦ diamond appears, this is the structured re-entry — a continuation setup at a technically superior price with the cloud now acting as confirmed dynamic support or resistance behind you Place your stop loss beyond the retest level or just outside the opposite cloud boundary Step 4 — Monitor with the Dashboard Watch the WPR Exit Watch row — when it flashes ⚠ NEAR EXIT, begin preparing your exit Watch Freshness — if it drops to FADING or STALE during your trade, the momentum behind the move is diminishing Additional ✦ retest signals during the same trend are opportunities to add to your position or re-enter after a partial take-profit Step 5 — Exit on ✕ Mark A gray ✕ marker indicates either a confirmed trend flip or WPR exhaustion Take partial or full profit If no opposing trend label has appeared, wait for the next ✦ retest to confirm the trend is continuing before re-entering Step 6 — Trend Ends An opposing trend label (e.g., a ▼ label after you were long) confirms the trend has reversed Close any remaining position from the prior trend The new label resets the cycle — the dashboard Trade Status updates to the new position, and the Retest Engine resets its buffer for the new direction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 ATR-normalized impulse engine — consistent behavior across all instruments and timeframes, no manual recalibration needed 📈 Dual-layer volatility model — MAD for band texture, ATR for impulse normalization, combined into a single adaptive system 🌊 Freshness decay system — impulse strength and confidence degrade naturally over time, preventing stale signals from carrying full weight ☁ Adaptive Trend Cloud — breathes with volatility, tightens during fresh impulses, expands during uncertainty 📡 Triple WPR confirmation gate — Fast (8), Medium (21), and Slow (55) Williams %R must agree before signals fire 🏷 Tiered entry labels (S / A / B) with live confidence % — know the quality of every signal at a glance ✦ Intelligent retest engine — configurable buffer, cooldown, line extension, and width. Draws only meaningful retest levels, never spams 🧠 10-factor confidence scoring engine — freshness, impulse direction, WPR depth, timing, multi-timeframe, candle quality, volume, momentum, and penalty deductions 📊 26-row live dashboard — Impulse Engine, Oscillators, Trend State, Confidence, and Trade Status sections updated in real time 💹 Live Open P&L tracking — entry price and unrealized P&L displayed directly on the dashboard in price and percentage ⚠ WPR Exit Watch — advance warning before exhaustion exits fire, so you are never caught off guard 🎨 Cohesive dual-tone color theme — yellow-green for all bullish elements, red for all bearish elements, gray for neutral and exits 🔔 15 alert conditions — tiered entries, combined entries, exits, retests, Triple WPR states, freshness fade, and trend flips ⚙ Fully configurable — all periods, thresholds, multipliers, display toggles, colors, and filter modes are adjustable from the settings panel ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Core Engine Trend Length — EMA period for the basis line and cloud anchor (default: 19) Impulse Lookback — bars over which the raw impulse move is measured (default: 5). Lower = more reactive Impulse Decay — per-bar decay multiplier for impulse freshness (default: 0.97). Higher = impulses stay fresh longer MAD Length — lookback for Mean Absolute Deviation calculation, controls band volatility sensitivity (default: 20) Adaptive Bands Band Min (Fresh Impulse) — tightest band multiplier applied during a fully fresh impulse (default: 1.5) Band Max (Stale Impulse) — widest band multiplier applied when impulse has fully decayed (default: 2.2) ATR Period — lookback for ATR-based impulse normalization (default: 14) WPR Context WPR Fast / Medium / Slow — three independent Williams %R periods (defaults: 8 / 21 / 55) WPR Oversold / Overbought — extreme zone thresholds used by the gate and confidence engine (defaults: -82 / -18) Signal Filters Min Confidence % — minimum score required for a signal to be displayed (default: 25%) Signal Cooldown — minimum bars between consecutive entry labels (default: 3) Require Volume Confirm — when enabled, signals are blocked if current volume is below the Min Volume Ratio threshold Min Volume Ratio — minimum volume relative to 20-bar average required when volume filter is active (default: 0.7×) Require WPR Confirmation — when enabled, signals only fire when WPR agrees with the trend direction. On by default — this is the primary noise gate Retest Engine Show Retest Levels — toggle retest lines and ✦ markers on or off Signal Buffer — bars to wait after a trend flip before the retest engine activates (default: 10) Retest Cooldown — minimum bars between consecutive retest line draws (default: 55) Retest Line Width — thickness of the horizontal retest lines (default: 2) Retest Line Extend — how many bars forward the retest line projects (default: 60) Exits Exit on Trend Flip — when enabled, an opposing signal triggers an immediate exit marker Exit on WPR Exhaustion — when enabled, WPR crossing the exit level triggers an exit marker WPR Exit Bull (above) — Fast WPR level above which a long exit fires (default: -15) WPR Exit Bear (below) — Fast WPR level below which a short exit fires (default: -85) Min Bars Before Exit — minimum bars in trade before a WPR exhaustion exit can trigger (default: 3) Display Show Trend Cloud / Show Outer Bands / Color Bars / Show Entry Labels / Show Freshness Indicator — individually toggle each visual layer Label Size — Tiny / Small / Normal Dashboard Show Dashboard — toggle the entire dashboard panel Position — Top Left / Top Right / Bottom Left / Bottom Right Dashboard Text — Tiny / Small / Normal Colors Bull Primary / Bright / Dim — the yellow-green family for all bullish elements Bear Primary / Bright / Dim — the red family for all bearish elements Neutral / Neutral Light — gray shades for exits, inactive states, and neutral conditions Text Light / Dashboard BG — dashboard typography and background colors ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions (15 total) Tiered Entry Alerts S-Tier Bull Impulse — bull signal with confidence 70%+ A-Tier Bull Impulse — bull signal with confidence 55–69% B-Tier Bull Impulse — bull signal with confidence 35–54% S-Tier Bear Impulse — bear signal with confidence 70%+ A-Tier Bear Impulse — bear signal with confidence 55–69% B-Tier Bear Impulse — bear signal with confidence 35–54% Combined Entry Alerts Any Bull Impulse — any bull signal regardless of tier Any Bear Impulse — any bear signal regardless of tier Any Impulse Signal — any signal in either direction Exit Alerts Bull Exit — long position exit triggered Bear Exit — short position exit triggered Any Exit — exit in either direction Retest Alerts Bull Retest Level — a bullish retest level has been drawn Bear Retest Level — a bearish retest level has been drawn Any Retest — retest in either direction Special State Alerts Triple WPR Oversold — all three WPR timeframes simultaneously in oversold territory Triple WPR Overbought — all three WPR timeframes simultaneously in overbought territory Impulse Freshness Fading — freshness drops below 50%, signaling momentum decay Trend Flip — a trend direction change has been detected All alert messages include {{ticker}} and {{interval}} placeholders and are formatted for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Recommended Settings by Instrument & Timeframe The default configuration is optimized for XAUUSD and major forex pairs on M1–M15 : Confidence threshold at 25% captures valid setups while filtering genuine noise at fast timeframes WPR Confirmation Gate on by default — the primary protection against choppy market signals Decay Rate at 0.97 — impulses fade over approximately 30 bars, suitable for intraday momentum moves Band Min/Max at 1.5/2.2 — calibrated for gold and forex intraday volatility profiles For other instruments or timeframes, adjust: Higher timeframes (H1, H4, Daily) — increase Trend Length to 25–35, increase Confidence to 35–50%, increase Retest Cooldown to 100–150 Crypto (BTC, ETH) — increase Band Max to 2.8–3.5 to accommodate wider swings, increase ATR Period to 20 Indices (NAS100, US30, SPX500) — use defaults or slightly increase Impulse Lookback to 7–8 for smoother detection More signals — reduce Min Confidence %, disable Require WPR Confirmation, reduce Cooldown Fewer, cleaner signals — increase Min Confidence % to 40–55%, increase Signal Cooldown to 5–10, reduce Band Min to tighten the entry zone ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 📉 Trend traders and momentum followers — the adaptive band and freshness system is built specifically for riding directional moves with precision 🥇 Gold (XAUUSD) and forex scalpers — default settings tuned for intraday volatility on fast-moving instruments 📊 Index and crypto traders — the ATR normalization ensures the system adapts without manual recalibration across instruments 🧠 Systematic traders — the confidence scoring system provides a quantitative signal quality metric, not just visual arrows 📈 Traders who value clean charts — no indicator soup, no overlapping clutter. Every visual element serves a specific purpose ⚠ Traders who struggle with overtrading — the confidence filters, WPR gate, cooldown system, and freshness tracking physically prevent low-quality setups from appearing on the chart 🔄 Pullback traders — the retest engine was specifically designed to surface structured continuation entries within confirmed trends, not just initial breakout signals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All signals are confirmed on bar close — the indicator is non-repainting by design The ATR normalization means the impulse threshold (1.0×ATR) is instrument-agnostic — no adjustment needed when switching between gold, forex, crypto, or indices Maximum 500 labels and 500 lines are used — on very low timeframes with extended chart history, the oldest labels and retest lines may be automatically removed by TradingView's rendering limits The Band Width squeeze detection in the dashboard is a leading indicator of volatility expansion — SQUEEZE conditions frequently precede the strongest impulse moves WPR Velocity displayed in the dashboard is particularly useful for timing exits within a move — FAST UP or FAST DOWN readings often precede exhaustion reversals The Trade Status section tracks position direction from signal to exit within a single chart session — it does not connect to your broker or brokerage account ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who need to know not just where the market is going — but how much energy is behind the move.
Indicatore Pine Script®
di AlphaX-Trade
2
MACD v2.4 Ultimate Edition Hybrid Autopilot MTF█████████████████████████████████████████████████████████████ // █ 🌀 MACD v2.4 ULTIMATE EDITION (Hybrid Otopilot + Akıllı Kalkan + MTF) // █ ============================================================================= // █ CREATOR: TradingView (Original MACD) // █ UPGRADED BY: @TTesviyeci + AI // █ // █ 🎯 YENİLİKLER (v2.4 HAZIR PROFİLLER & UI/UX REVİZYONU): // █ • 6 Farklı Karakter: Standart, Fibonacci, Balina, Ağır Çekim ve Scalp profilleri eklendi. // █ • Gelişmiş Tooltipler: Her ayarın yanına sistemin mantığını anlatan "ℹ️" rehberleri eklendi. // █ // █ 🎯 DÜZELTMELER (v2.2 & v2.3 MİRASI): // █ • Akıllı Kalkan & Hybrid Otopilot: Sahte sinyal filtresi ve otomatik Close geçişi. // █ • TKE Template: Temel periyotlar request.security DIŞINDA "simple int" hesaplandı. // █ • Dinamik Lookahead eklendi ve her TF için security ayrı ayrı çağrıldı. // █████████████████████████████████████████████████████████████ // ============================================================================= // 🎓 KULLANIM KILAVUZU (Yorum olarak) // ============================================================================= // █ 🎯 YENİ BAŞLAYANLAR İÇİN (HAZIR PROFİLLER): // █ 1. Ayarlardan "Hazır MACD Profilleri" menüsünü açın. // █ 2. "Standart (12-26-9)" veya pürüzsüz trend için "Fibonacci Swing" seçin. // █ 3. MTF Tablosunu açın, Fısıltı Modunu takip edin. // █ 4. 🚀 RALLİ MODU → AL, 🩸 BIÇAK DÜŞÜYOR → SAT // █ // █ 🎯 ORTA SEVİYE İÇİN (ADAPTİF MOTOR): // █ 1. Period Modu: "Otomatik (Adaptif)" seçin. // █ 2. Adaptasyon Seviyesi: "Basit (Vol + Hacim)" // █ 3. Divergence'ları (Uyumsuzlukları) takip edin. // █ 4. 💎 ALTIN VURUŞ + Bullish Div → AGRESİF AL // █ // █ 🎯 İLERİ SEVİYE İÇİN (TAM KONTROL): // █ 1. Period Modu: "Otomatik (Adaptif)" // █ 2. Adaptasyon Seviyesi: "Tam (Vol + Hacim + Trend + Rejim)" // █ 3. Screener filtrelerini kullanın ve Kombo alarmları kurun (Div + Fısıltı). // █ // █ ⚙️ MACD PROFİLLERİ NE İŞE YARAR? // █ • Standart (12-26-9): Klasik, herkesin bildiği fabrika ayarı. // █ • Fibonacci Swing (13-34-8): Gürültüyü süzen, sahte sinyalleri azaltan yapı. // █ • Kurumsal Balina (20-50-10): Sadece büyük fonların girdiği ana trendler. // █ • Ağır Çekim Trend (55-68-6): Çok güvenli, uzun vadeli trend teyidi. // █ • Agresif Scalp (5-13-3): Hızlı patlamaları yakalayan dar makas (Kısa vade). // █ • Özel: Kendi manuel değerlerinizi kullanmanızı sağlar. // █ // █ 🕵️ SCREENER STRATEJİLERİ: // █ // █ STRATEJİ 1: SÜPER AL // █ • SCR: 🏆 SÜPER AL (Div + Ralli) = 1 | MACD Yukarı Kesti Signal = 1 // █ → En güçlü AL sinyali // █ // █ STRATEJİ 2: ALTIN VURUŞ // █ • SCR: 💎 ALTIN VURUŞ = 1 | Regular Bullish Div = 1 | Histogram < 0 = 1 // █ → En iyi fırsat (Büyük trend güçlü, kısa vade düşüş) // █ // █ STRATEJİ 3: TREND DEVAM // █ • SCR: 🚀 TREND DEVAM (Hidden + Ralli) = 1 | MACD > Signal = 1 // █ → Trend devam ediyor, TUT! // █ // █ STRATEJİ 4: NAKİT KAL // █ • SCR: 🩸 BIÇAK DÜŞÜYOR = 1 | Regular Bearish Div = 1 // █ → Tüm TF'ler zayıf, SATIP BEKLE // █ // █ 🔔 ALARM ÖNERİLERİ: // █ • 🏆 SÜPER AL (Div + Ralli) → En güçlü AL sinyali // █ • 💎 ALTIN VURUŞ (Div + Düzeltme) → En iyi fırsat // █ • 🚀 TREND DEVAM (Hidden + Ralli) → Trend devam, TUT // █ • 🏆 SÜPER SAT (Div + Bıçak) → En güçlü SAT sinyali // █ // █ ⚠️ ÖNEMLİ NOTLAR & İPUÇLARI: // █ • Adaptive Period Engine'i ilk başta "Sadece Timeframe" ile test edin. // █ • Sonra "Basit (Vol + Hacim)", en son "Tam" modunu deneyin. // █ • MTF Matrix + Fısıltı Modu 4 timeframe'i tek bakışta gösterir. // █ // █ VERSİYON GEÇMİŞİ: // █ • v1.0 (2024): Temel MACD + MTF Matrix // █ • v2.0 (Şubat 2025): Adaptive Engine + Hybrid Div + Fısıltı Modu // █ • v2.1 - v2.3 (Mart 2026): MTF Okları, TKE Şablonu, Otopilot ve Kalkan // █ • v2.4 (Nisan 2026): 6 Hazır MACD Profili ve Gelişmiş Tooltip (UI/UX) Entegrasyonu // █████████████████████████████████████████████████████████████
Indicatore Pine Script®
di yurt42625
5 HO MTF Supertrend PRO⚡ 5 HO + MTF + Supertrend PRO ================================================================================== ⚙️ STRATEJİ MİMARI VE GELİŞTİRİCİ : @TTesviyeci (Twitter/X) 🤖 KODLAMA VE OPTİMİZASYON : Gemini 3.1 Pro 📅 SÜRÜM : v1.0 PRO (11.04.2026) ================================================================================== █████████████████████████████████████████████████████████████ //📌 5 HO + MTF + SUPERTREND PRO (KURUMSAL TREND & SQUEEZE MOTORU) █████████████████████████████████████████████████████████████ 📖 SİSTEMİN ÇALIŞMA MANTIĞI (3 ÇEKİRDEKLİ YAPI): Bu sistem, piyasadaki gürültüyü filtrelemek ve mega trendleri yakalamak için 3 farklı motoru aynı anda çalıştırır: 1. Dinamik HO Motoru: 9 farklı türde (EMA, SMA, HMA, TEMA vb.) hesaplanabilen 5 bantlı yapı. 2. MTF (Çoklu Zaman Dilimi) Radarı: Bulunduğunuz grafikten bağımsız üst periyotları okur. 3. Supertrend Yön Belirleyici: ATR tabanlı hacimsel trend takibi ve görsel renklendirme. 🦅 KURUMSAL TRADE STRATEJİSİ (TOP-DOWN ANALYSIS): Sistemin asıl amacı "Haftalık (1W) periyotta tarayıp, 4 Saatlik (4H) grafikte avlanmaktır." - 🌪️ Pusu Modu: Tarayıcıda(Pine Screener) sadece "Sıkışıklık (Squeeze)" filtresini açarak, Haftalıkta kördüğüm olmuş, enerji biriktiren ve patlamaya hazır varlıkları bulursunuz. (Sıralama aranmaz!) - 🌊 Trend Avı: Tarayıcıda(Pine Screener) "HO Sıralaması" ve "Fiyat/HO Uzaklığı" filtreleriyle, Haftalıkta trende girmiş ama henüz şişmemiş (desteğe yakın) fırsatları yakalar, 4H'de işleme girersiniz. 🚀 PINE SCREENER (TARAYICI) FİLTRELERİ VE KUSURSUZ MATEMATİK: • Gerçek Sıkışıklık (Squeeze): Sadece ardışık ortalamalara değil, en üst ve en alt HO arasındaki total bant genişliğine bakarak sahte sıkışmaları eler. • Fiyat/HO Uzaklık Kontrolü: Fiyatın ortalamadan % olarak ne kadar saptığını ölçer. Böylece "çoktan uçmuş" hisselerin tepesinden maliyetlenmenizi engeller. • Arka Plan Veri Aktarımı: Grafiği kirletmeden, 9 farklı stratejik veriyi arka planda TradingView tarayıcısına (Screener) anlık olarak gönderir. 🖥️ DİNAMİK KOKPİT (UX) VE GÜVENLİK: - Repaint (Geleceği Görme) Koruması: MTF hesaplamalarında lookahead_on/off mimarisi kullanılarak sahte sinyal üretmesi engellenmiştir. - Akıllı Tablolar: Sadece aktif ettiğiniz ortalamaları gösteren dinamik durum paneli ve filtrelerin nasıl kullanılacağını anlatan dahili "Bilgi Tablosu" ile tam bir başyapıttır. - Sonuçta bu indikatör hayatın sırrı değil, iş sadece indikatörler de bitmiyor, sizlerin stratejileri ve psikolojinizde bitiyor. Bu indikator tek başına AL SAT tavsiyesi için değildir, eğitim amaçlı ortaya yeni bir şeyler çıkarmaya çalıştım, meraklı olanlara fikir versin, teşvik etsin diye, bütün olay budur.
Indicatore Pine Script®
di yurt42625
2
Big Trades Auto-Footprint @MaxMaseratiBig Trades - Auto-Footprint @MaxMaserati Description: Get X-Ray vision into your candles. Big Trades - Auto Footprint is a precision Order Flow tool that utilizes TradingView’s native Footprint data engine to show you exactly where and how aggressively institutions are executing large market orders. Instead of smearing volume across an entire candlestick, this indicator looks inside the bar, scanning every price tick. It identifies statistically significant Bid/Ask volume spikes and plots dynamic bubbles at the exact price levels where the heavy execution occurred. Key Features True Price-Level Precision: Bubbles are plotted at the exact price row where the trade hit the tape, allowing for pinpoint tape-reading. Intrabar Z-Score Engine (Automatic Mode): The script calculates the mean and standard deviation of all footprint rows inside the current candle. It then isolates and flags only the rows with extreme statistical deviations (Z-Score). This means it automatically adapts to the current volatility without needing constant manual tweaking. Manual Threshold Mode: Prefer hard numbers? Switch to manual mode and set a strict minimum/maximum contract limit (e.g., only show trades larger than 50 contracts). Dynamic Sizing & Opacity: The bigger the trade relative to the rest of the candle, the larger and more opaque the bubble becomes. There are 6 size tiers (from tiny to huge) giving you an immediate visual heat map of market aggression. Actionable Tooltips: Hover over any bubble to see the exact Ask Volume (Aggressive Buyers), Bid Volume (Aggressive Sellers), and execution price. Support & Resistance Zones: Optionally extend horizontal lines from the heaviest volume nodes to act as high-probability support/resistance for future candles. How to Read the Tape Green Bubbles (Ask): Aggressive market buyers lifting the offer. Red Bubbles (Bid): Aggressive market sellers hitting the bid. Absorption / Defense: If you see massive Green bubbles at the top of a wick, but the candle closes red, buyers were trapped and absorbed by passive limit sellers. Initiative: Large bubbles at the bottom of a bullish candle pushing price upward indicates strong initiative buying (institutional sponsorship). Settings Highlights Ticks Per Row: Determines the resolution of the footprint. A setting of 1 gives you tick-by-tick precision. A higher number groups price levels together, which is highly recommended for volatile crypto assets. Hollow Fill: Toggles the bubbles between solid circles and clean, hollow rings. Biggest Only (Zones): If enabled, the script will only project Support/Resistance lines from the single largest Buy and Sell node in the candle, reducing chart clutter. IMPORTANT REQUIREMENT Because this indicator uses native tick-level data, it requires the new request.footprint() function. You must have a TradingView Premium or Ultimate plan to run native Footprint scripts. It will not load data on lower-tier plans.
Indicatore Pine Script®
di MaxMaserati
2
Institutional Bias Engine [Confirmed]Institutional Bias Engine Built for traders who want to see what the institutions are doing before the move happens, not after. Most retail indicators react to price. This one reads volume structure, money flow, and smart money zones simultaneously to identify when institutional capital is accumulating or distributing. When enough factors line up, a signal fires. When the environment looks like a trap, the built-in reversal protection blocks it. WHAT IT DOES The indicator runs five systems in parallel and combines their outputs into a single bias reading with optional entry signals. Volume Analysis separates bull volume from bear volume on every bar using a VWMA-weighted split. It calculates net flow, identifies when volume crosses the institutional threshold, and tracks the flow percentile across a rolling 100-bar window. Candles are colored based on the strength and direction of the flow so you can see the institutional bias at a glance without reading any numbers. Smart Money Zones detect order blocks and fair value gaps in real time. Order blocks are institutional candles where price reversed with volume confirmation. Fair value gaps are price imbalances between candles that price tends to return to and fill. Both are tracked persistently with mitigation detection, meaning they stay on the chart until price closes through them and then fade, so you always know which zones are still active. Signal Confluence scores the current bar across five factors: bull or bear volume zone, institutional buy or sell detection, order block presence, fair value gap presence, and flow percentile rank. A signal fires only when enough factors agree simultaneously. You control the minimum threshold through the Signal Mode setting. Reversal Protection is a weighted scoring system that runs independently of the signal. It measures four conditions that historically precede reversals: RSI at an extreme, a volume climax spike, price stretched beyond a set percentage from the EMA, and an exhausted run of consecutive same-color candles. Each condition carries a configurable weight. If the combined score exceeds your block threshold, the signal is suppressed even if confluence is strong enough to fire. This prevents chasing into extended moves. Money Flow Profile is a visual bar chart drawn to the right of the current bar showing the distribution of net institutional flow over the last 100 bars. The highest activity bucket glows and is labeled. A zero line separates net buying from net selling. The bias label at the bottom of the panel shows the average flow direction in plain text. HOW TO USE Add the indicator to any liquid instrument on the 5-minute through 1-hour timeframe. The candle coloring gives you the macro bias at a glance. Green gradient candles indicate confirmed bull flow. Red and orange gradient candles indicate bear flow. Yellow indicates neutral or transitional conditions. The dashboard at the bottom of the chart shows the current signal, flow zone, institutional activity state, confluence score, reversal protection score, and trade management status all in one place. You never need to read individual lines. When a signal fires it appears as a label on the bar with the entry direction and TP and SL prices. The TP and SL levels are projected as dashed lines forward from the entry so you can see the trade at a glance. When the trade closes, an exit label appears showing whether the result was a TP, SL, or time exit. Use the RSI extreme level lines to identify price zones where the market has already been oversold or overbought in the recent session. These are drawn automatically when RSI hits an extreme and remain on the chart for a configurable number of days. They serve as context for the signal, not triggers in themselves. SETTINGS Volume Analysis Volume MA Length: Baseline period for institutional volume detection. Default 24. High Volume Multiplier: Volume must exceed this multiple of the average to qualify as institutional. Default 2.0. Lower for more sensitivity, raise for stricter filtering. Delta Smoothing: Percentage used to filter noise out of the bull and bear volume separation. Higher values require a cleaner directional bias before a zone is confirmed. Institutional Sensitivity: Controls how dominant one side of volume must be relative to the other to trigger institutional detection. Default 1.3. Lower values fire more often. Smart Money Zones Show Order Blocks: Displays institutional reversal candles in Pro mode. Show Fair Value Gaps: Displays persistent FVG zones that track mitigation in real time. Min FVG Size: Minimum gap size as a percentage of price to qualify as a fair value gap. Filters out micro gaps that are not meaningful. Signal Settings Signal Mode: Conservative requires four confluence factors. Balanced requires three. Aggressive requires two. Start with Balanced and adjust based on your instrument and timeframe. Signal Cooldown: Minimum bars between signals. Prevents clustering entries during fast moves. Reversal Protection Enable Reversal Protection: Turns on the weighted scoring system that blocks signals when reversal conditions are elevated. RSI Extreme Weight, Volume Climax Weight, Price Stretch Weight, Consecutive Candles Weight: Each condition contributes this many points to the reversal score. The four weights do not need to sum to 100. Adjust each independently based on which conditions you find most reliable on your instrument. Block Threshold: If the reversal score reaches or exceeds this value, the signal is suppressed. Default 50. Show RSI Extreme Levels: Draws dashed horizontal lines at price levels where RSI last hit oversold or overbought within the lookback window. Useful as context for entries near those zones. Trade Management Enable Trade Management: Activates the one-trade-at-a-time system with TP, SL, and maximum bars enforcement. Take Profit and Stop Loss: Percentage-based from the entry close price. Max Bars Force Exit: If neither TP nor SL is reached within this many bars, the trade closes at market. Prevents positions from sitting indefinitely in stalled conditions. Display Mode: Lite shows only signals. Standard adds the dashboard. Pro adds the money flow profile and order blocks. Color Preset: CodaPro uses teal and magenta. Institutional uses green and red. Heatmap uses cyan and orange. NON-REPAINTING STATEMENT All signals are generated on confirmed bar closes using barstate.isconfirmed. No signal fires on an unfinished bar. Labels are placed on confirmed bars and do not move after placement. Fair value gap zones use confirmed historical data only and update their mitigation status on confirmed closes. What you see on historical bars reflects what would have fired in live conditions. Want to see this indicator built out as a full trading strategy? I've put together a step-by-step tutorial — check my profile signature for details! DISCLAIMER For educational and informational purposes only. Not financial advice. Past performance does not guarantee future results. Always use proper risk management. Created by ArisCodes | 2026
Indicatore Pine Script®
di ArisCodes
Smart Masterpiece Concept by Nestor# Smart Masterpiece Concept by Nestor Forget stacking 10 different indicators on your chart trying to piece together what the market is doing. This is the only tool you'll ever need. **SMC by Nestor** is a complete Smart Money trading system built directly into a single indicator. It reads the market the way institutional traders do — tracking where the big money is breaking structure, leaving gaps, and building positions — and puts it all on your chart automatically, cleanly, and in real time. --- ### It tells you the story of the market Most indicators tell you what already happened. SMC by Nestor tells you *why* it happened and *what comes next*. It tracks market structure at two levels simultaneously — the big picture swing moves and the short-term internal shifts — so you always know whether you're in a trending market or a reversal, and exactly where the turning points were. --- ### It shows you where the big money is hiding Every time a significant move happens, smart money leaves a footprint. SMC by Nestor automatically identifies those **Order Blocks** — the exact price zones where institutions were loading their positions — and keeps them on your chart until the market comes back to test them. That's your entry zone, handed to you on a plate. --- ### It marks the levels that actually matter Forget arbitrary support and resistance. This indicator identifies **Equal Highs and Equal Lows** — the liquidity pools that banks and institutions are actively hunting — and draws clean lines directly between them. When you see one of those levels, you know the market has a target. --- ### It highlights the gaps the market must fill **Fair Value Gaps** are the imbalances left behind when price moves too fast — and the market almost always comes back to fill them. SMC by Nestor spots every significant one automatically and tracks it until it's closed, so you never miss a high-probability reversion setup. --- ### It defines premium and discount for you Every market has a range, and the best trades happen at the extremes. Draw a single line to define your zone of interest and the indicator instantly maps out the **Premium zone** (where smart money sells), the **Discount zone** (where smart money buys), and the **Equilibrium** in the middle. Every other feature on the chart respects this zone — if it's not inside, it doesn't show. Your chart stays razor clean. --- ### It never lets you forget the key levels The **Previous Day, Week, and Month Highs and Lows** are the levels that professional traders mark on their charts every single session. SMC by Nestor draws them automatically the moment each new period opens, with pip ranges included, so you always know exactly how far price has moved and where the magnets are. --- ### It keeps you oriented in time Trading the wrong session is one of the most common and costly mistakes retail traders make. The **Day of Week labels** keep you anchored — you always know where you are in the trading week, which matters enormously when timing entries around institutional activity. --- ### Everything, one indicator, zero clutter Strong and weak highs and lows. Break of Structure signals. Market shift alerts. Fair Value Gaps. Order Blocks. Equal Highs and Lows. Previous Day, Week and Month levels. Day of week labels. Market open gaps. Premium and discount zones. All of it. In one indicator. Perfectly organised. Fully customisable. And built to trade with, not just to look at.
Indicatore Pine Script®
di NestorSanchezGomez
MACD 6-20 Fast MACD with Signal ArrowsMACD 6/20 — Fast MACD with Signal Arrows A faster MACD variant using EMA 6/20 instead of the standard 12/26 settings, with a 9-period signal line. Designed for traders who want earlier trend detection and quicker crossover signals. What it does: This indicator plots the MACD line (EMA 6 minus EMA 20) against a 9-period EMA signal line, with a color-coded histogram and visual crossover arrows. Features: - MACD line (blue) and Signal line (orange) - Histogram: green when MACD > Signal, red when MACD < Signal - Green triangle arrows at bullish crossovers (MACD crosses above Signal) - Red triangle arrows at bearish crossovers (MACD crosses below Signal) - All parameters adjustable (Fast Length, Slow Length, Signal Smoothing) - Histogram can be toggled on/off Why 6/20 instead of 12/26? The shorter EMA periods make the indicator more responsive to price changes. The 6/20 combination catches trend shifts earlier than the standard MACD, which is useful for swing trading and intraday setups. The trade-off is more signals — filter with higher timeframe context or price action confirmation. How to use: - Bullish signal: green arrow (MACD crosses above Signal) - Bearish signal: red arrow (MACD crosses below Signal) - Histogram expansion confirms momentum - Works on all timeframes — best combined with multi-timeframe analysis (e.g. Weekly/Daily for direction, 5min for entries) Settings: - Fast Length: 6 (default) - Slow Length: 20 (default) - Signal Smoothing: 9 (default) - Source: Close (default)
Indicatore Pine Script®
di ChMaKa1000
Backtest Template [Backtest Terminal]Overview — What Is This Script? Backtest Template (BTT) is an open-source strategy framework designed to let traders test their own indicator logic without building the backtest infrastructure from scratch. Instead of writing stop loss management, session filters, alert systems, and trailing stops yourself, BTT handles all of that automatically. You bring your signal idea — BTT handles the rest. The template is designed for all markets: stocks, Forex, gold (XAUUSD), crypto spot, and crypto futures. It ships with a pre-built Moving Average Cross trigger and Moving Average Trend filter as working examples that you replace with your own logic. What Makes It Original Most backtest templates on TradingView are fixed strategies that test one specific indicator. BTT introduces a User Zone architecture: a single clearly marked section near the top of the script where the user replaces one pre-built trigger and one pre-built filter with their own Pine Script code. The engine below reads four fixed variable names and runs automatically — the user never needs to touch strategy orders, stop management, session logic, or the alert system. This design means a complete beginner can run their first backtest by changing fewer than ten lines of code, while an advanced user can plug in arrays, multi-timeframe calculations, or complex signal logic and the engine handles it identically. What The Engine Handles Automatically Once your signal is connected through the User Zone, the following run without any additional code: Stop Loss and Take Profit — three unit modes: percentage of price, fixed points (Forex / CFD), or fixed dollar amount (crypto / stocks) Stop Mode — Fixed (original level), Trailing (follows price), or Breakeven (moves to entry price) Trailing Stop — configurable distance and activation offset, each with matching %, point, and dollar unit inputs consistent with your Stop/Target Mode selection Breakeven Stop — configurable activation offset in the same unit system Disable Take Profit — when using Trailing mode, an optional toggle removes the fixed TP so the trailing stop becomes the sole exit Trade Direction — Long only, Short only, or Both Backtest Date Range — start and end date inputs Trading Day Filter — enable or disable any day of the week Trade Session Hours — exchange server time filter (HHMM-HHMM format) Trade Windows — four configurable local-time windows each independently set to Off, Blackout, or Trade Only mode with full timezone support Entry Signal Markers — green and red triangles that only appear when all conditions pass, so chart visuals exactly match what the strategy trades App Alerts — pre-formatted alert messages with ticker, direction, stop and target prices Custom JSON Alerts — four separate input fields for webhook bot integration, one per order event How To Use It — Quick Start Open the script in Pine Editor Find the User Zone near the top — it is clearly marked with a visual border and is the only section you need to edit Replace the pre-built Moving Average Cross trigger block with your own indicator signal, assigning your long condition to userLong and your short condition to userShort — always add and confirmed to both Replace the pre-built Moving Average Trend filter block with your own market condition, assigning to userFilterLong and userFilterShort Add to chart and open Strategy Tester User Zone Contract The engine connects to your signal through exactly four variables. Do not rename them: userLong → true on the bar you want to enter Long userShort → true on the bar you want to enter Short userFilterLong → true when Long entries are allowed userFilterShort → true when Short entries are allowed Always add and confirmed (barstate.isconfirmed) to userLong and userShort. This ensures the signal locks in only when the bar closes, preventing signals from changing value mid-bar. Setting userFilterLong = true disables the Long filter entirely. Setting it to a condition like close > ta.ema(close, 200) means Long entries are only allowed when price is above that EMA. Long and Short filters are independent — you can filter one direction while leaving the other open. Stop Loss and Take Profit — Three Unit Modes The Stop/Target Mode setting controls how SL and TP distances are measured: % (Percentage) — distance as a percentage of price. Suitable for stocks and crypto. Stop source can be the close price or the candle High/Low. Take profit is derived from stop distance × Risk:Reward ratio. Point - Forex / CFD — distance in instrument ticks (syminfo.mintick). Suitable for XAUUSD, EURUSD, and other Forex/CFD instruments. Example: 100 points on EURUSD (mintick = 0.00001) = 1 pip. Dollar - Crypto / Stock — fixed dollar distance from entry. Suitable for BTCUSD and US stocks. All trailing and breakeven offset inputs follow the same three-unit system. Use the , , or input that matches your selected Stop/Target Mode. Using the wrong unit input will result in a mismatch between your intended stop distance and the actual calculation. Stop Mode — Fixed, Trailing, Breakeven Fixed — stop loss stays at the original level from entry until hit or TP is reached Trailing — stop follows price at a configurable distance, locking in profit as price moves. The trailing activation offset controls how far price must move before trailing begins (shown as a yellow line on chart). Enable "Disable Take Profit" to let the trailing stop manage the entire exit without a fixed TP ceiling Breakeven — stop moves to the exact entry price once price moves a configurable distance in your favour (shown as a white line on chart) Trade Windows — Off, Blackout, Trade Only Each of the four time windows (Tokyo, London, New York, Custom) has an independent mode selector: Off — this window has no effect on entries (default for all four) Blackout — block all new entries while the current time is inside this window. Useful for avoiding high-volatility opens or news events Trade Only — only allow new entries while the current time is inside this window. Useful for targeting specific sessions or news event windows such as NFP or Fed announcements All times are entered in your local timezone selected from the My Timezone dropdown. The engine converts to UTC internally. Logic rules: Multiple Blackout windows use AND NOT logic — entries are blocked if the current time is inside any Blackout window Multiple Trade Only windows use OR logic — entries are allowed when the current time is inside any one Trade Only window If no windows are set to Trade Only, there is no time restriction on entries (same as all Off) Blackout and Trade Only can be combined: for example, set London to Trade Only and New York to Blackout to only trade the London session while avoiding NY volatility Trading Day and Session Trading Days — enable or disable any individual day of the week. Disabling a day prevents new entries — open positions are still managed on disabled days. Trade Session — set allowed hours in exchange server time (HHMM-HHMM format). Default 0000-0000 means 24 hours with no restriction. This uses exchange server time, not your local time. Alert System — App Alert and Custom JSON How to activate alerts: Set the alert mode to App Alert or Custom in the settings panel Create a TradingView alert on the chart (right-click → Add Alert) In the alert message box, paste exactly: {{strategy.order.alert_message}} This placeholder delivers the correct message for each order event automatically App Alert mode sends a pre-formatted text message for each event: ENTRY LONG : {price} STOP LOSS : {stop level} TARGET PRICE : {target level} Exit alerts include a PNL percentage. No additional setup is required. Custom mode — JSON webhook for bot integration: Four separate input fields accept a single-line JSON string — one per order event: Long Entry — fires when a Long position opens Long Exit — fires when a Long position closes (TP, SL, or trailing stop) Short Entry — fires when a Short position opens Short Entry — fires when a Short position opens Short Exit — fires when a Short position closes (TP, SL, or trailing stop) Paste your JSON as a single line into each field. TradingView's input.string stores the content as a single line regardless of how it was formatted, making it safe for all webhook receivers. Settings Guide — Commission, Slippage, Margin Default values are conservative starting points. Edit the strategy() declaration at the top of the script to match your broker and market. Detailed inline comments in the script explain every parameter. Commission defaults (0.1% per side, 2 ticks slippage): Stocks zero-commission broker → 0.0% Stocks SET Thailand → 0.16% Crypto spot (Binance) → 0.1% Crypto futures (Binance taker) → 0.04% XAUUSD $7 per standard lot → change commission_type to strategy.commission.cash_per_contract and commission_value to 0.07 ($7 ÷ 100 oz) Position sizing (default 2% of equity): For lot-based markets (Forex, XAUUSD) change default_qty_type to strategy.fixed and default_qty_value to the number of units. On XAUUSD: 1 unit = 1 oz, so 0.01 lot = value of 1, 0.10 lot = value of 10, 1.00 lot = value of 100. Margin/leverage simulation: Both margin_long and margin_short are 0 by default (no margin simulation). Formula: margin value = 100 / leverage ratio. Example: 1:500 leverage → margin_long = 0.2. These values cannot be set from the input panel — edit them directly in the strategy() call. Repainting Warning Before connecting any indicator to the User Zone, verify it does not repaint. A repainting indicator places signal arrows on past bars using data from future bars that did not exist at the time — backtest results will look excellent while live trading produces nothing like it. How to check using Bar Replay: Open the indicator on your chart and find a signal arrow in the past Open Bar Replay and rewind to before that signal appeared Step forward one bar at a time using Shift + → Do not use the Play button (Shift + ↓) — bars move too fast to catch a disappearing arrow If the arrow appears and stays permanently → safe to use. If the arrow appears then disappears or moves as you advance → repainting confirmed, do not use in a strategy. How to check using Alert Log: Enable the indicator's built-in alert, wait for it to fire on a live bar, then compare the alert log entry to the signal arrow on the chart. If they do not match in timing or direction → repainting. Disclaimer This script is published for educational purposes only. It is a framework and template — not a complete trading system and not financial advice. Backtest results shown in Strategy Tester reflect historical data only and do not guarantee future performance. Past performance is not indicative of future results. All trading involves significant risk of loss. Do not trade with money you cannot afford to lose. The results produced by this template depend entirely on the signal logic the user provides — the author accepts no responsibility for any trading decisions made using this script or any modifications of it. Before using any strategy in live trading, you should fully understand how it works, verify its logic independently, and test it thoroughly on a demo account. Always consult a qualified financial advisor before making investment decisions. The pre-built Moving Average Cross trigger and Moving Average Trend filter included in the User Zone are provided as examples only — they are not recommendations to trade any specific method.
Strategia Pine Script®
di BacktestTerminal
2
Iterative Rational Quadratic ChannelThe Iterative Rational Quadratic Channel is a kernel-based smoothing and state estimation framework that applies a Rational Quadratic kernel regression to price data, combined with a rolling standard deviation envelope to construct adaptive dynamic channel boundaries. Unlike exponential kernel methods that prioritize recent data at the expense of historical context, the rational quadratic kernel introduces a heavy-tailed weighting structure that preserves multi-scale memory in price dynamics. This enables the channel to reflect not only short-term fluctuations, but also broader structural regime context. The resulting channel is less reactive to micro-noise and more representative of persistent market structure, making it particularly effective for trend continuity analysis, regime modeling, and reducing sensitivity to false reversals. Its primary utility is as a state estimation and regime-filtering tool for price behavior, rather than a pure high-frequency signal isolation tool. TRADING USES The Rational Quadratic Channel is best interpreted as a regime-aware structural filter rather than a purely reactive trading band. Trend Continuity The channel basis line (RQ smoothed price) provides a stable representation of underlying market direction. Sustained movement above or below the basis reflects trend persistence rather than short-lived fluctuations, making it useful for maintaining directional bias. Regime Persistence Due to the heavy-tailed memory of the rational quadratic kernel, historical price structure continues to influence current valuation. This produces smoother transitions between market phases and reduces sensitivity to short-term reversals, improving regime stability. False Reversal Filtering Compared to exponentially weighted kernels, the RQ channel reduces overreaction to transient volatility spikes. This helps filter out low-quality reversals driven by noise rather than structural change. State Estimation The channel functions as a continuous estimator of market state: - The basis represents the inferred latent price state - The envelope represents dynamic volatility dispersion around that state This makes it well-suited for manual, semi-automated, and automated trading systems requiring a stable structural representation of price rather than raw responsiveness. Gradual shifts in the basis line and channel position can also serve as a framework for monitoring changes in trend direction and regime transitions over time. Volatility & Risk Context The rolling standard deviation envelope expands and contracts based on realized volatility, providing a contextual risk framework. Wider channels indicate increased uncertainty and dispersion, while tighter channels indicate compression and lower variance conditions. THEORY The rational quadratic kernel is a member of the scale-mixture family of Gaussian kernels and can be interpreted as a superposition of Gaussian processes operating at multiple length scales. This allows it to capture both local and global structure in time series data. It is defined as: k(i)=(1+i22αℓ2)−αk(i) = \left(1 + \frac{i^2}{2\alpha \ell^2}\right)^{-\alpha}k(i)=(1+2αℓ2i2​)−α Where: ---> α\alphaα controls tail heaviness (relativeWeight) ---> ℓ\ellℓ defines the characteristic scale (lookback) Unlike Gaussian kernels, which enforce exponential decay and emphasize locality, the rational quadratic kernel follows a power-law decay. This allows older observations to retain influence over the estimator for longer periods, producing a smoothing effect that is inherently multi-scale and well-suited for modeling persistent structural behavior. The rolling standard deviation complements this by measuring dispersion around the estimated state, forming a volatility-adaptive envelope. Rather than acting as a strict statistical confidence interval, it provides a dynamic representation of market expansion and contraction. The iterative implementation processes data sequentially (bar-by-bar), ensuring computational efficiency and making the indicator suitable for real-time use without repainting. CALIBRATION Calibration determines the balance between responsiveness, structural memory, and regime stability. Length (Lookback) Lower (50–100): More responsive, increased sensitivity to short-term structure Medium (150–250): Balanced for swing trading and intermediate regimes Higher (300+): Strong regime persistence, reduced sensitivity to noise Relative Weight (Tail Sensitivity) Controls how quickly historical influence decays: Lower values (≈ 0.5 – 1.0): - Behavior approaches Gaussian - More responsive to recent price action - Faster detection of trend changes - Slightly more sensitive to noise Higher values (≈ 2.0+): - Stronger heavy-tail behavior - Increased influence of older price data - Smoother output and stronger regime anchoring - Improved false reversal filtering Start At Bar (Lag / Structural Anchoring) Controls how much recent price data is excluded from the kernel calculation: Lower values (0–10): - Uses most recent data - Faster reaction to price changes - More sensitive to short-term volatility Moderate values (10–30): - Balanced responsiveness and stability - Reduces noise without excessive lag - Suitable for most trading environments Higher values (30+): - Strong structural anchoring - Significantly reduced sensitivity to recent fluctuations - Enhanced regime persistence - Slower response to turning points This parameter effectively introduces a controlled lag, allowing users to tune the tradeoff between responsiveness and regime stability. MARKET USAGE Stock, Forex, Crypto, Commodities, and Indices.
Indicatore Pine Script®
di SensitiveSuit
1
QRC Institutional Regression Channel [CLEVER]QRC Institutional Regression Channel 📌 Overview QRC Institutional Regression Channel is a statistically driven technical analysis tool built on linear regression methodology. Its primary objective is to present price action within a structured mathematical framework, allowing traders to objectively assess trend direction, volatility range, and deviation extremes. The indicator calculates a regression line using historical price data and plots multiple standard deviation (sigma) bands around it to visualize relative market expansion and contraction. This tool is designed to support discretionary decision-making. It is not an automated trading system, investment advisory service, or guaranteed signal provider. All calculations are based strictly on completed bars (bar close), and the script does not use future-looking data. Signals and visual outputs are derived solely from historical price inputs. The regression slope reflects directional bias, while the R² value quantifies the statistical consistency of the current trend. Standard deviation bands represent probabilistic boundaries where price has historically deviated from its regression mean. These levels should be interpreted as contextual reference zones rather than predictive certainty levels. The purpose of this indicator is not to replace trader judgment, but to provide a systematic and repeatable analytical structure. It is most effective when used alongside additional confluence factors such as market structure analysis, liquidity zones, volume behavior, or higher-timeframe context. Trading and investing involve risk. Past performance does not guarantee future results. Users should conduct independent analysis and apply proper risk management before making financial decisions. 📐 Core Concept The core foundation of QRC Institutional Regression Channel is based on linear regression analysis, a statistical method used to model the relationship between price and time over a defined lookback period. Instead of relying on subjective trendlines or manually drawn channels, this indicator calculates a best-fit regression line using historical price data. This line represents the average directional path of price within the selected period. The regression slope determines the directional bias of the market during that lookback window. A positive slope reflects upward directional pressure, while a negative slope reflects downward pressure. The steepness of the slope provides insight into the relative strength of that movement. However, slope direction alone should not be interpreted as a standalone trading signal; it is a structural measurement of historical price behavior. To complement the regression line, the indicator calculates standard deviation bands (commonly 1σ, 2σ, and 3σ). These bands measure how far price deviates from its regression mean based on historical volatility within the same lookback range. Standard deviation is a statistical dispersion metric — it does not predict reversals, but instead defines probabilistic boundaries where price has historically stretched relative to its average path. An additional statistical component, R² (coefficient of determination), is used to quantify how well price movement fits the regression model. A higher R² value suggests that price has been moving in a relatively structured and consistent manner during the selected period. A lower R² value suggests less structural consistency and potentially more noise. This metric is descriptive, not predictive. The combined interaction between slope, deviation bands, and R² creates a structured analytical framework. The regression midline represents equilibrium, while outer deviation bands represent statistically extended conditions. These zones provide contextual reference points rather than guaranteed turning points. Importantly, all calculations are derived strictly from historical price data and confirmed on bar close. The indicator does not access future data and does not rely on repainting logic. It is designed as a quantitative visualization tool that supports discretionary analysis, not as a predictive or automated trading system. Because financial markets are influenced by numerous dynamic variables, no statistical model can eliminate uncertainty. The regression framework should therefore be used as part of a broader analytical process that includes risk management and additional confluence factors. 🎯 Key Features Multi-Sigma Regression Bands The indicator plots multiple standard deviation (sigma) bands around the regression midline, typically including 1σ, 2σ, and 3σ levels. These bands visually represent how far price has deviated from its statistical mean within the selected lookback period. Instead of labeling these areas as guaranteed reversal zones, they should be interpreted as probabilistic stretch boundaries. When price approaches outer bands, it reflects historically extended conditions relative to the regression average — not certainty of reversal, but measurable deviation. Dynamic Regression Midline At the center of the channel is the regression mean line, which represents the statistically calculated equilibrium path of price. This midline adapts automatically as new historical data becomes available. It can serve as a reference point for balance, trend continuation assessment, or mean interaction analysis. The midline is descriptive of historical structure and should not be treated as a fixed support or resistance level. Slope-Based Directional Bias The regression slope continuously measures directional pressure over the defined lookback window. A positive slope indicates upward bias within that historical segment, while a negative slope reflects downward bias. The rate of change in slope can provide insight into momentum shifts. However, slope direction is a contextual metric, not a buy or sell command. R² Trend Strength Measurement The inclusion of the R² (coefficient of determination) metric allows users to evaluate how closely price movement fits the regression model. Higher R² values indicate stronger structural alignment with the calculated trend path, while lower values suggest increased variability or noise. This feature enhances structural awareness but does not forecast future outcomes. Channel Position Percentage The indicator may calculate the relative position of price within the regression channel as a percentage. This helps traders understand whether price is trading near equilibrium, moderately extended, or statistically stretched. It is intended for context and comparison rather than prediction. Configurable Bounce Logic (Optional) Optional bounce detection logic can highlight instances where price reacts near selected deviation levels. These signals are confirmed on bar close and are based strictly on historical data inputs. They are not forward-looking and should be treated as contextual alerts rather than guaranteed trade opportunities. Customizable Lookback and Volatility Settings Users can adjust regression length and deviation multipliers to suit different market environments or timeframes. A shorter lookback period may respond more quickly to recent changes, while a longer period may emphasize broader structure. These settings allow flexibility without altering the core statistical foundation. Visual Dashboard and Data Panel An integrated dashboard can display structured information such as slope value, R² strength, channel position, and general directional bias. This feature is designed to provide quick situational awareness without requiring manual recalculation. Non-Repainting, Bar-Close Confirmed Calculations All computations are derived strictly from historical price data and confirmed at bar close. The script does not use future-looking inputs. Once a bar is closed, its calculated values remain fixed according to the defined logic. Overall, the key features of QRC are built to provide statistical structure, volatility awareness, and trend context. They are analytical tools intended to assist discretionary decision-making — not guarantees, financial advice, or automated trading instructions. ⚙️ How It Works QRC Institutional Regression Channel operates by applying a statistical linear regression model to a defined lookback period of historical price data. The process begins by selecting a user-defined number of past bars. Within that fixed window, the indicator calculates a best-fit regression line using mathematical least-squares methodology. This line represents the average directional path price has followed during that specific period. 1️⃣ Regression Line Calculation The regression line is computed by minimizing the distance between historical price points and the estimated trend path. The result is a dynamic mean line that adjusts only when a new bar closes. As older data rolls out of the lookback window and new data is added, the regression line recalibrates accordingly. This recalculation is descriptive of past price behavior within the selected range. It does not forecast future movement; it simply models the statistical trend of the most recent historical segment. 2️⃣ Slope & Directional Bias Once the regression line is calculated, its slope is derived. The slope reflects whether the historical trend within the lookback period has been upward, downward, or relatively neutral. A steeper slope suggests stronger directional pressure during that segment, while a flatter slope indicates consolidation or slower movement. This measurement provides structural context but does not function as a standalone entry or exit signal. 3️⃣ Standard Deviation Bands After the regression mean is established, the indicator calculates the standard deviation of price relative to that mean. Standard deviation measures how dispersed price has been around its average path. Using this value, the script plots multiple sigma bands (such as 1σ, 2σ, and 3σ). These bands form dynamic channel boundaries that expand or contract depending on recent volatility. When volatility increases, the channel widens; when volatility decreases, the channel narrows. These bands define probabilistic deviation zones — not guaranteed reversal levels. They highlight how stretched price is relative to its recent historical norm. 4️⃣ R² Trend Consistency Measurement The indicator also calculates the R² (coefficient of determination), which measures how closely price movement aligns with the regression model. A higher R² indicates that price has followed a more structured and consistent path within the selected window. A lower R² suggests more irregular or noisy movement. This metric enhances analytical clarity but does not predict continuation or reversal. 5️⃣ Bar-Close Confirmation & Data Integrity All computations are based strictly on historical price data and are confirmed at bar close. The script does not access future bars and does not use forward-looking calculations. Once a candle closes, the calculated values for that bar remain fixed according to the defined logic. Because the regression window shifts forward as new data arrives, values may adjust on the current developing bar — but closed-bar calculations remain stable. 6️⃣ Continuous Adaptation As each new bar completes, the indicator updates the regression model by dropping the oldest bar in the lookback period and incorporating the newest one. This rolling-window mechanism allows the channel to adapt dynamically to changing market conditions while remaining statistically grounded in recent data. ⚠️ Important Consideration The indicator models historical price behavior using statistical tools. It does not predict future price movement, guarantee reversals, or eliminate risk. Financial markets are influenced by multiple dynamic variables beyond any single mathematical framework. For this reason, QRC should be used as part of a broader analytical process that includes independent judgment, additional confluence tools, and proper risk management. 📊 How to Use QRC Institutional Regression Channel QRC Institutional Regression Channel is designed as a structured analytical tool to help traders understand trend direction, volatility expansion, and statistically stretched price conditions. It should be used as a context and confirmation framework, not as a standalone trading system. 1️⃣ Understanding Market Context (Trend Identification) The first step in using QRC is identifying the overall market structure through the regression slope and channel alignment. When the regression slope is positive, it indicates that the historical price path within the lookback period is biased to the upside. When it is negative, it reflects downside bias. However, this should not be treated as a direct buy or sell signal — it is a structural context filter. Traders typically use this information to align trades with the dominant directional environment rather than trading against it. 2️⃣ Using the Regression Midline as Equilibrium Reference The midline (regression mean) acts as a dynamic equilibrium level. Price interaction with this midline can be used to understand whether the market is trading above or below its statistical average. Price above midline → bullish structural bias Price below midline → bearish structural bias Midline reactions should be interpreted as contextual balance shifts, not fixed support or resistance zones. 3️⃣ Identifying Volatility Extremes (Sigma Bands) The standard deviation bands (1σ, 2σ, 3σ) are used to identify statistically extended market conditions. When price moves toward outer bands, it indicates that price has deviated significantly from its regression mean based on recent volatility. These zones are useful for understanding potential exhaustion or expansion phases. However, these levels are not reversal guarantees. They should be used as probabilistic stretch areas where price is less statistically “normal” relative to its recent behavior. 4️⃣ Bounce and Reaction Observation (Optional Signals) If bounce logic is enabled, the indicator highlights price reactions near selected deviation zones. Lower band reactions may indicate potential bullish rejection behavior Upper band reactions may indicate potential bearish rejection behavior These signals are confirmed only after bar close and should be treated as observational alerts, not automatic trade entries. 5️⃣ R² for Trade Quality Filtering The R² value can be used as a filter for market structure quality. High R² → cleaner, more structured trend environment Low R² → choppy, noisy, or unstable conditions Traders often prefer taking directional setups in higher R² environments because price behavior is more consistent with the regression model. 6️⃣ Channel Position for Timing Context Channel position (%) shows where price currently sits within the regression structure. Near lower zone → statistically discounted area Near mid zone → equilibrium / balanced area Near upper zone → statistically extended area This helps in timing decisions rather than generating signals alone. 7️⃣ Multi-Timeframe Confirmation (Recommended Use) QRC works best when combined with higher timeframe context. For example: Higher timeframe trend direction can define bias Lower timeframe QRC can refine entries and exits This alignment increases analytical confidence but still does not eliminate risk. ⚠️ Risk & Usage Consideration QRC is a statistical modeling tool, not a predictive system. It does not guarantee reversals, continuation, or profitable outcomes. Market conditions can change due to external factors beyond historical structure. It should always be used with: Proper risk management Additional confirmation tools Independent trading judgment 🏁 Final Note The correct way to use QRC is as a market structure compass, not a signal generator. It helps traders understand where price is in relation to its statistical equilibrium, how strong the trend structure is, and whether current conditions are normal or extended relative to recent history. ⚙️ Settings & Customization (QRC Institutional Regression Channel ) The QRC Institutional Regression Channel provides a flexible customization system that allows traders to adapt its behavior according to different market conditions, timeframes, and trading styles. All settings are designed to modify the sensitivity and visualization of the statistical model, while the core regression logic remains unchanged and mathematically consistent. The most important setting is the Regression Length, which defines how many historical bars are used to calculate the regression line. A shorter length makes the indicator more responsive to recent price movements but can introduce more fluctuations and noise. A medium length offers a balanced structure suitable for most intraday and swing trading environments. A longer length smooths out short-term volatility and focuses on broader market structure, making it more stable but less reactive to sudden changes. Another key customization area is the Deviation (Sigma) settings, which control the width of the channel bands around the regression midline. The 1σ band represents near-average volatility conditions, the 2σ band reflects moderate statistical extension, and the 3σ band highlights extreme deviation zones. Adjusting these values changes how tightly or widely price is framed within the channel. Narrower settings make price interactions more frequent, while wider settings emphasize only significant volatility extremes. The Bounce Zone selection allows users to choose which deviation level is used for reaction-based signal logic. Selecting inner bands results in more frequent but weaker reactions, while outer bands focus on less frequent but more statistically significant price extremes. This setting is purely observational and does not guarantee reversals, but it helps define which part of the channel is being monitored for price interaction. The Signal Cooldown setting controls how often signals can appear after a valid condition has triggered. A lower cooldown produces more frequent signals, which may increase noise, while a higher cooldown reduces signal frequency and helps filter repetitive or clustered alerts during choppy market conditions. An optional EMA filter can also be enabled to provide additional directional context. When price is above the EMA, the broader environment is considered bullish, and when price is below it, the environment is considered bearish. This does not affect regression calculations but helps traders align signals with higher-level trend direction. In addition to analytical settings, the indicator includes several visual customization options. Users can toggle regression channels, fills, midline, slope arrows, R² display, signal markers, and dashboard visibility. This allows the interface to be simplified for clean charting or expanded into a full analytical dashboard depending on user preference. Overall, the customization system is designed to help traders adapt the same statistical model to different trading strategies such as scalping, intraday trading, or swing trading. However, these settings only influence visualization and sensitivity, not predictive capability. The indicator remains a historical, data-driven regression tool that should be used with proper risk management and additional confirmation methods. ⚠️ Important Notes (QRC Institutional Regression Channel ) The QRC Institutional Regression Channel is a statistical analysis tool designed to visualize market structure using historical price data. It is important to understand that all outputs generated by this indicator are based on past market behavior and mathematical calculations, not future price prediction. This indicator does not guarantee any specific market outcome, trade result, or reversal point. The regression channel, slope, deviation bands, and R² values are descriptive in nature and should be interpreted as contextual information about how price has behaved within a defined lookback period. They represent probabilities and structure, not certainties. Signals generated by the indicator, including bounce reactions or channel interactions, are strictly based on historical conditions and are confirmed only after bar close. These signals should not be treated as financial advice or direct buy/sell recommendations. Market conditions can change rapidly due to external factors that are not reflected in the statistical model. Because the indicator relies on a fixed historical window, its structure continuously adapts as new data replaces old data. This means readings may change over time as the market evolves, especially in lower timeframes where volatility is higher. Users are strongly advised to combine this tool with additional confirmation methods such as market structure analysis, risk management strategies, volume behavior, or higher timeframe bias. No single indicator should be used in isolation to make trading decisions. Trading and investing in financial markets involves significant risk, and losses may occur. Past performance does not guarantee future results. The responsibility for all trading decisions lies entirely with the user. ⚠️ Disclaimer (QRC Institutional Regression Channel ) The QRC Institutional Regression Channel is a technical analysis tool developed for educational and informational purposes only. It is designed to help users analyze market structure using statistical regression methods, including trend direction, volatility bands, and deviation-based measurements. This indicator does not provide financial advice, investment recommendations, or trading signals that guarantee any specific outcome. All calculations and visual outputs are based on historical price data and mathematical formulas, and they should be interpreted strictly as analytical references rather than predictive assurances. Trading and investing in financial markets involve substantial risk, and there is always a possibility of financial loss. Users should not rely solely on this indicator to make trading decisions. Instead, it should be used as part of a broader analytical approach that includes independent research, risk management, and additional confirmation tools. Past performance, statistical readings, or historical behavior displayed by the indicator do not guarantee future results. Market conditions can change rapidly due to external factors that are not captured by any single technical model. By using this indicator, the user acknowledges full responsibility for all trading decisions and accepts that the creator of this tool is not liable for any financial losses or outcomes resulting from its use.
Indicatore Pine Script®
di TheCleverTraders
4
Abyan OB WalaAbyan OB Wala is a TradingView indicator built around Smart Money Concepts (SMC). Here's what it does: Core Logic It uses a ZigZag to identify swing highs and lows, then detects Market Structure Breaks (MSB), which are moments where price breaks a prior high or low with enough momentum (controlled by the Fib Factor). This determines whether the market is in a bullish or bearish phase. What It Draws Once an MSB is confirmed, it automatically plots four types of zones as boxes: Bu-OB / Be-OB -- Bullish or Bearish Order Blocks (the last opposing candle before the move) Bu-BB / Be-MB -- Bullish or Bearish Breaker Blocks (or Mitigation Blocks, depending on structure) Box Management Boxes extend to the right in real time and are automatically removed if price closes beyond them (invalidation). Alerts fire when price enters any of the zones. In short, it's an automated SMC confluence tool that marks order blocks and breaker blocks based on confirmed market structure shifts, helping traders identify high-probability reversal or continuation zones.
Indicatore Pine Script®
di aby4n_h
1