9798297047723 - the backtesting masterclass: build, validate, and optimize with python: ideas are cheap. verified performance is priceless. di van der post, alic hayden; bisette, vincent (5 risultati)
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 50,68
EUR 6,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,00
EUR 64,21 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - 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 to…ols, 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 edgeWho 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 executionBefore you risk your capital, test your strategy like your future depends on it.Because it does.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 53,41
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 too…ls, 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 53,42
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,47
EUR 43,32 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. 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 too…ls, 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 execution Before you risk your capital, test your strategy like your future depends on it.Because it does. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
