TradeSoft Update History · 2026
2026 marks TradeSoft’s consolidation as a complete ecosystem: entry algorithms (TS, SDA, ZONES, and NY),
institutional context reading, and now the definitive leap with AI Copilot—a concept with a life of its own,
built for calm decision-making, consistency, and emotions kept under control.
Updated as of February 2, 2026.
TSZONES: trading zones, aggression, and expansion (a clear operating framework)
The new TSZONES module is added, designed to visually mark the zones where the market truly “does business” (auction/acceptance) and to detect phase changes when price breaks through the zone and enters displacement (faster, cleaner expansion). In addition, performance and stability across the other modules have been optimized, improving flow consistency, resource usage, and the overall session experience.
TradeSoft AI Copilot: a system with a life of its own and emotional control
TradeSoft AI Copilot is introduced—an AI-trained copilot that supports the trader in real time: it suggests hold, exit, or wait, provides economic context and macro news, and evaluates hundreds of parameters (price, support, resistance, volume zones, biases, potential icebergs, etc.). The goal is for the trader to operate calmly, steadily, and without anxiety, keeping emotions under control while improving consistency and stability.
TradeSoft NY (TSNY): imbalance + institutional strength at the open
The TradeSoft NY (TSNY) module launches for the S&P 500, using the Micro MES instrument on the 1-minute timeframe. The system analyzes imbalance and institutional strength/volume at the open to detect intent to buy or sell. A structured approach with one trade per day and a mandatory position close at 19:25, keeping the focus on trade supervision (it’s not a bot).
New Institutional Scalping TS1 module (already tested by users)
The new Institutional Scalping TS1 module has already been tested by users and is achieving trades with a win rate above 85%, thanks to all the context used to define the active zones—continuing with the system of zone invalidations, trapped-trader detection, and identification of inefficient zones with a high probability of reversal.
SDA (Adaptive Dynamic Sentiment) engine update
The SDA engine is updated so it can propose pullback entries using the candle retracement. Now the system interprets microstructure’s dynamic sentiment and, when an aggressive expansion occurs, it waits for the candle retracement to define a more precise entry zone—less initial heat and a more logical invalidation point. This helps filter impulsive spikes and better align entry timing with the real order-flow.
Shield module: risk line and protection
The new Shield module is added, drawing a risk line on the chart. This line acts as protection and a barrier for managing entries: it visually marks the level where the idea no longer makes sense, helps manage partial exits, and supports decisions on when to protect profits or cancel the setup. The copilot uses this line to unify risk criteria across different trades and maintain discipline in high-volatility scenarios.
TradeSoft v1.0 (tested copilot)
The first tested version of TradeSoft v1.0 is released to a closed group of users. The system already works as a complete copilot: it detects market state, marks volume levels, identifies aggressive expansions and inefficiencies, and proposes reversal entries with clear risk management and A/B/C classification. This version serves as the foundation for future automation improvements.
Backtest campaign and parameter tuning
Intensive backtests are run across different instruments and timeframes. Quality filters, time windows, and reversal criteria after aggressive expansion in inefficiencies are tuned. The code is stabilized and all parameters are documented for the development team.
Advanced mapping of inefficiencies and icebergs
Mapping of inefficiencies, liquidity gaps, and icebergs is refined. The copilot prioritizes areas where trapped traders are more likely to be forced out, looking for entries with low leverage and the smallest possible drawdown.
Guided alerts for reversal entries
Copilot mode is activated: TradeSoft triggers alerts when price approaches an LVN or a range extreme with favorable context and aligned order-flow signals. The user receives a clear card with a suggested level, a logical stop, and a target at POC or the value area.
Context and zone panel in NinjaTrader
First functional NinjaTrader prototype with a context panel, balance/imbalance indicators, and automatic drawing of LVN, POC, and value area. The system already shows in real time where to look for entries, but leaves the final decision to the trader.
A / B / C setups and R:R ratio
The confluence scoring system is added: correct market state, valid volume level, and order-flow confirmation. Based on the score, the indicator labels the trade as an A, B, or C setup and shows the logical stop, distance to target, and estimated R:R to help maintain coherent risk.
Aggressive delta and imbalance between buys and sells
The order-flow module is connected: aggressive delta reading, absorptions at the extremes, and clear imbalances between buyers and sellers. The copilot only validates a potential setup when context, the volume level, and order flow align.
Detection of aggressive expansions and inefficiencies
The engine that tracks aggressive price expansions and areas of inefficiency and liquidity gaps is developed. From here, TradeSoft begins systematically searching for reversal entries when price retests those areas with trapped participants.
POC, value area, and key LVNs
The volume profile module is integrated by segment and by session. The system calculates POC, value area, and LVNs to mark the levels Fabio would watch as decision zones. The rules are documented to distinguish LVNs for trend continuation versus range extremes for reversal.
Copilot architecture and market state
The TradeSoft concept is defined as a copilot-style trading assistant, inspired by context, level, and order-flow-based execution. The first market state module is implemented, classifying each session as balance (range) or imbalanced (strong trend) to decide whether it makes sense to look for continuation or reversal.