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Könyv Machine Learning Models in Quantitative Finance Reactive Publishing

Machine Learning Models in Quantitative Finance

A Practical Guide to Forecasting, Pricing, and Signal Generation

Szerző: Reactive Publishing, Vincent Bisette
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Independently published
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
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Reactive PublishingMachine Learning Models in Quantitative Finance: A Practical Guide to Forecasting...

Információk a könyvről

Szerző
Reactive Publishing, Vincent Bisette
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
492
EAN
9798280005969
Enbook ID
52821650
Kiadó
Independently published
Súly
590
Méretek
152 x 229 x 31

Teljes leírás

Reactive Publishing

Machine Learning Models in Quantitative Finance: A Practical Guide to Forecasting, Pricing, and Signal Generation

By Vincent Bisette

Unlock the power of machine learning in financial markets-without needing a PhD in data science.

This hands-on guide delivers a focused, tactical approach to integrating machine learning into quantitative finance. Designed for analysts, traders, and finance professionals, this book demystifies the process of applying ML to real-world financial data for forecasting, pricing models, and signal generation.

Inside, you'll discover:

  • Practical ML models tailored for time series, options pricing, and strategy development

  • Step-by-step implementation using Python and Excel

  • Techniques to engineer features, reduce overfitting, and optimize model performance

  • Case studies on using random forests, XGBoost, and neural networks for alpha generation

  • How to build ML pipelines that integrate seamlessly with existing quant workflows

You won't find generic theory or fluff-just battle-tested tools and frameworks that work in volatile markets. Whether you're building your first predictive model or fine-tuning your algo trading stack, this book gives you the edge.

Finance moves fast. So should your models.