Nouveauté
Backtrader Essentials: Building Successful Strategies with Python
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- FormatePub
- ISBN8230304517
- EAN9798230304517
- Date de parution21/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
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!
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!
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!