Backtrader Essentials: Building Successful Strategies with Python (eBook, ePUB)
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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 momentu...
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:
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!
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!
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