Stop guessing, start backtesting! Unlock the power of algorithmic trading with Python using "Backtrader Essentials: Building Successful Strategies with Python". This practical, hands-on guide provides the core knowledge needed to effectively use the powerful Backtrader framework.
Learn step-by-step how to:
- Set up your environment and load market data.
- Implement and interpret essential indicators (SMA, RSI, MACD, ADX, Bollinger Bands).
- Create your own custom indicators for unique analysis.
- Combine signals and apply filters to build more robust strategies.
Code and test both mean reversion and momentum-based trading logic. * Analyze backtest results objectively using key performance metrics like Sharpe Ratio, Win Rate, and Max Drawdown via Backtrader's Analyzers.
Unique Case Study: Follow along as we take a basic, initially losing strategy (-10% backtest result) and iteratively refine it using filters and improved rules, transforming it into a significantly better performer (+40% backtest result), demonstrating a practical strategy development workflow.
Ideal for Python programmers entering the trading world, traders looking to automate and test their ideas, and anyone seeking a clear, actionable introduction to Backtrader. Basic Python understanding is helpful.
Build your algorithmic trading foundation and start developing data-driven strategies today!
Stop guessing, start backtesting! Unlock the power of algorithmic trading with Python using "Backtrader Essentials: Building Successful Strategies with Python". This practical, hands-on guide provides the core knowledge needed to effectively use the powerful Backtrader framework.
Learn step-by-step how to:
- Set up your environment and load market data.
- Implement and interpret essential indicators (SMA, RSI, MACD, ADX, Bollinger Bands).
- Create your own custom indicators for unique analysis.
- Combine signals and apply filters to build more robust strategies.
Code and test both mean reversion and momentum-based trading logic. * Analyze backtest results objectively using key performance metrics like Sharpe Ratio, Win Rate, and Max Drawdown via Backtrader's Analyzers.
Unique Case Study: Follow along as we take a basic, initially losing strategy (-10% backtest result) and iteratively refine it using filters and improved rules, transforming it into a significantly better performer (+40% backtest result), demonstrating a practical strategy development workflow.
Ideal for Python programmers entering the trading world, traders looking to automate and test their ideas, and anyone seeking a clear, actionable introduction to Backtrader. Basic Python understanding is helpful.
Build your algorithmic trading foundation and start developing data-driven strategies today!
Backtrader Essentials: Building Successful Strategies with Python
Backtrader Essentials: Building Successful Strategies with Python
Product Details
| BN ID: | 2940181103030 |
|---|---|
| Publisher: | Ali AZARY |
| Publication date: | 04/21/2025 |
| Sold by: | Draft2Digital |
| Format: | eBook |
| File size: | 2 MB |