A comprehensive 5-class trading and investing curriculum delivered through interactive Jupyter notebooks, designed for Google Colab.

Class	Topic	Lessons	Start Here
1	Trading & Investing Fundamentals	20
2	Technical Indicators & Analysis	20
3	Trading & Investing Strategies	20
4	Taxes & Portfolio Maintenance	20
5	Trading Business & Advanced Topics	20
Total		100 notebooks

Format: 30 min lecture + 15 min hands-on per lesson (45 min/day) Total Runtime: 75 hours of instruction

1. Navigate to any notebook in this repository
2. Click "Open in Colab" badge
3. Run the setup cell to install dependencies
4. Follow along with the lesson

git clone https://github.com/astoreyai/money-talks.git
cd money-talks
pip install -r requirements.txt
jupyter notebook

Build a solid foundation in financial markets.

Master chart analysis and indicator interpretation.

Strategy frameworks from day trading to long-term investing.

Critical knowledge for preserving and growing wealth.

Professional-level trading structures and automation.

All exercises use S&P 500 stocks via yfinance. No API keys required.

• Python 3.9+
• See requirements.txt for dependencies

money-talks/
├── README.md
├── requirements.txt
├── class1_fundamentals/           # 20 notebooks
│   ├── week1_market_basics/
│   ├── week2_asset_classes/
│   ├── week3_accounts_orders/
│   └── week4_charts_psychology/
├── class2_technical_analysis/     # 20 notebooks
│   ├── week1_trend_indicators/
│   ├── week2_momentum_volatility/
│   ├── week3_volume_patterns/
│   └── week4_support_resistance/
├── class3_trading_strategies/     # 20 notebooks
│   ├── week1_active_trading/
│   ├── week2_position_trend/
│   ├── week3_value_growth/
│   └── week4_options_basics/
├── class4_taxes_portfolio/        # 20 notebooks
│   ├── week1_capital_gains/
│   ├── week2_tax_accounts/
│   ├── week3_tax_optimization/
│   └── week4_portfolio_risk/
├── class5_trading_business/       # 20 notebooks
│   ├── week1_trader_tax_status/
│   ├── week2_trading_entities/
│   ├── week3_mtm_deductions/
│   └── week4_compliance_automation/
├── utils/
│   ├── data_helpers.py
│   ├── chart_helpers.py
│   └── quiz_helpers.py
└── data/
    └── sp500_symbols.csv

This is an educational project. Issues and suggestions welcome.

MIT License

This content is for educational purposes only and does not constitute financial advice.

• Past performance is not indicative of future results
• All investments involve risk, including the possible loss of principal
• The examples and strategies discussed are illustrative only
• Always consult with a qualified financial advisor before making investment decisions
• The authors and contributors are not responsible for any financial losses incurred

Do your own research. Trade responsibly.