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Hands - On Financial Trading with Python Build, backtest, and deploy professional trading strategies using a proven

Category: eBooks

views: 36
date: 30 October 2026
posted by: BeMyLove

Hands - On Financial Trading with Python Build, backtest, and deploy professional trading strategies using a proven

HandOn Financial Trading with Python Build, backtest, and deploy professional trading strategies using a proven | 14.78 MB

Title: HandOn Financial Trading with Python Build, backtest, and deploy professional trading strategies using a proven
Author: Cordell Tanny
Category: Finance, Programming Languages, Investments & Securities
Language: English | 1014 Pages | ISBN: 9781806664443

Description:

Learn algorithmic trading with Python by building one complete strategy, from market data to automated execution. Explore machine learning, AI signals, and rigorous backtesting

Key Features

Follow one volatility tail-hedge strategy from market data to cloud deployment, and build more that show a real edge

Explore time-series models, machine learning, and AI-driven alpha signal generation

Challenge backtests with walk-forward analysis and detect lookahead bias and overfitting

Book Description
Go beyond learning Python libraries in isolation. This book teaches you the complete workflow professionals use to build systematic trading strategies.
You start by acquiring, exploring, and cleaning market data, handling missing values, misaligned time series, and noise. From there, you form trading hypotheses, generate signals, and define entry and exit rules. You evaluate risk-adjusted performance and challenge your backtests through out-of-sample testing and walk-forward analysis. Next, you explore time-series models, machine learning for trading, and AI-driven alpha signal generation. Finally, you build a deployable strategy repository and automate execution in the cloud. One volatility tail-hedge strategy runs from raw data to cloud deployment, and you build five further strategies from published research, covering momentum, regime detection, economic indicators, and sector rotation, each tested to confirm that its signal does real work.
Drawing on 25 years of institutional trading experience, the book shows you how to spot lookahead bias and overfitting and distinguish promising signals from noise. You work with VectorBT and QuantStats, with PythonAnywhere for deployment. The book includes all the code, and by the end you have working strategies and a repeatable framework for algorithmic trading with Python

What you will learn

Acquire, clean, and denoise financial time-series data

Use exploratory analysis to develop trading hypotheses

Build momentum, mean-reversion, and time-series strategies

Apply machine learning and AI to alpha signal generation

Validate backtests with out-of-sample and walk-forward testing

Detect lookahead bias, survivorship bias, and overfitting

Evaluate strategies using risk-adjusted performance metrics

Build a deployable repository and automate cloud execution

Who this book is for
This book is for traders going systematic, data scientists entering quantitative finance, and portfolio managers automating their workflows. Whether you are building your first complete strategy or moving beyond isolated Python scripts, you share one frustration: books that teach tools but not how to put them together. This book gives you that missing piece.
You should be comfortable with basic Python, including functions, loops, and working in Jupyter notebooks, and with finance fundamentals such as returns, volatility, and risk.

Table of Contents

Introducing Algorithmic Trading

Setting up a Python Quantitative Workflow

Data Retrieval

Understanding Exploratory Data Analysis

Data Preparation

Removing Noise from Financial Data

Evaluating Strategy Performance

Understanding Backtesting

Out-of-Sample Testing

Walk-Forward Analysis

How to Spot a Bad Backtest

Time-Series Models

Algorithmic Trading Strategies

Climbing the Machine Learning Ladder

Machine Learning in Practice

AI as an Alpha Signal Generator

Building a Deployable Strategy Repository

Running Your Strategy Without You

DOWNLOAD:

https://rapidgator.net/file/d1cfc6abc6defebe39c4b45b5d38a9af/Hands-On_Financial_Trading_with_Python_Build_backtest_and_deploy_professional_trading_strategies_using_a_proven.rar

https://clicknupload.click/8u0tjyp2vggu/Hands-On_Financial_Trading_with_Python_Build_backtest_and_deploy_professional_trading_strategies_using_a_proven.rar

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