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{ "item_title" : "The Backtesting Masterclass", "item_author" : [" Vincent Bisette", "Alice Schwartz", "Hayden Van Der Post "], "item_description" : "Reactive Publishing The Backtesting Masterclass: Build, Validate, and Optimize with PythonBy Hayden Van Der PostIdeas are cheap. Verified performance is priceless.In the algorithmic trading world, strategy means nothing without proof. The Backtesting Masterclass gives you the full-stack tools, frameworks, and insights to rigorously test, validate, and refine your ideas, before putting real money on the line.Written for quantitative traders, data-driven investors, and Python developers, this book bridges the gap between theory and execution, teaching you how to simulate realistic trading environments and avoid the hidden traps of overfitting, false signals, and unrealistic assumptions.What You'll Learn:Build Your Own Backtesting Engine: Create fast, modular frameworks in Python using Pandas, NumPy, and vectorized executionValidate Strategy Performance: Use Sharpe, Sortino, drawdown, and advanced metrics that matter to real-world capitalAvoid Overfitting & Survivorship Bias: Learn cross-validation techniques, walk-forward analysis, and robust performance testingIncorporate Real Market Frictions: Slippage, commissions, bid-ask spreads, order latency-and how to simulate them accuratelyOptimize Without Curve Fitting: Learn hyperparameter tuning, risk-based portfolio allocation, and trade filtering techniquesRun Monte Carlo Simulations: Test thousands of alternate realities and build statistical confidence in your edgeWho This Book Is For:Quant traders and data scientists building Python-based trading systemsFinancial engineers validating models before live deploymentProp traders, fintech devs, and portfolio managers seeking reproducible edgeAnyone tired of relying on untested trading advice and looking for proof-driven executionBefore you risk your capital, test your strategy like your future depends on it.Because it does.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/829/704/9798297047723_b.jpg", "price_data" : { "retail_price" : "56.99", "online_price" : "56.99", "our_price" : "56.99", "club_price" : "56.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Backtesting Masterclass|Vincent Bisette

The Backtesting Masterclass : Build, Validate, and Optimize with Python: Ideas are cheap. Verified performance is priceless.

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Overview

Reactive Publishing The Backtesting Masterclass: Build, Validate, and Optimize with Python

By Hayden Van Der Post

Ideas are cheap. Verified performance is priceless.

In the algorithmic trading world, strategy means nothing without proof. The Backtesting Masterclass gives you the full-stack tools, frameworks, and insights to rigorously test, validate, and refine your ideas, before putting real money on the line.

Written for quantitative traders, data-driven investors, and Python developers, this book bridges the gap between theory and execution, teaching you how to simulate realistic trading environments and avoid the hidden traps of overfitting, false signals, and unrealistic assumptions.


What You'll Learn:
  • Build Your Own Backtesting Engine: Create fast, modular frameworks in Python using Pandas, NumPy, and vectorized execution

  • Validate Strategy Performance: Use Sharpe, Sortino, drawdown, and advanced metrics that matter to real-world capital

  • Avoid Overfitting & Survivorship Bias: Learn cross-validation techniques, walk-forward analysis, and robust performance testing

  • Incorporate Real Market Frictions: Slippage, commissions, bid-ask spreads, order latency-and how to simulate them accurately

  • Optimize Without Curve Fitting: Learn hyperparameter tuning, risk-based portfolio allocation, and trade filtering techniques

  • Run Monte Carlo Simulations: Test thousands of alternate realities and build statistical confidence in your edge


Who This Book Is For:
  • Quant traders and data scientists building Python-based trading systems

  • Financial engineers validating models before live deployment

  • Prop traders, fintech devs, and portfolio managers seeking reproducible edge

  • Anyone tired of relying on untested trading advice and looking for proof-driven execution

Before you risk your capital, test your strategy like your future depends on it.
Because it does.

This item is Non-Returnable

Details

  • ISBN-13: 9798297047723
  • ISBN-10: 9798297047723
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 9 x 6 x 1.75 inches
  • Shipping Weight: 1.85 pounds
  • Page Count: 708

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