Algorithmic Trading with Python
Algorithmic Trading with Python: Quantitative Strategies, Machine Learning, and NeuroEvolution in Practice
by Projeto ProgrameJaEnglish | 2026 | ASIN: B0GN3DT8BH | 179 Pages | PDF | 63 MB
What If Your Programming Skills Could Generate Returns in Financial Markets? Software engineers have a massive advantage in trading - they can build, test, and deploy automated systems that trade without emotion. But most trading books either drown you in theory or sell pipe dreams. This book takes a different approach: real code, honest expectations, and a clear path from zero to a working trading bot.
Algorithmic Trading with Python takes you from understanding how quantitative trading works to building a complete neuroevolution trading system - a bot that uses neural networks optimized by genetic algorithms to make trading decisions. No toy examples. The capstone project achieves ~15% average annual return with ~77% win rate and under 3% maximum drawdown on historical data.
What you will learn:
How quantitative trading works - market structure, strategies, and where independent traders can competeUS regulatory landscape (SEC, FINRA, CFTC) and tax considerations for algorithmic tradersPython setup for trading: NumPy, pandas, scikit-learn, TensorFlow, and live API connectionsTechnical analysis in code - moving averages, RSI, Bollinger Bands, and 225 indicatorsBacktesting strategies properly - avoiding look-ahead bias, overfitting, and survivorship biasMachine learning for markets - why financial data breaks most ML models and how to adaptNeural networks for pattern recognition using CNNs on market indicator imagesA complete neuroevolution trading bot as a capstone project with documented results
This is not a get-rich-quick book. Markets are adversarial, noisy, and unforgiving. Every chapter is honest about risks and limitations. What makes this book different is the progression: you start with concepts, build tools, add machine learning, and finish with a real system that integrates everything. Each chapter builds on the last, so by Chapter 10, you understand every component of the bot you are running.
Who this book is for:
Software engineers curious about fintech or considering a career pivot to quantitative tradingPython developers who want to automate trading strategies with real, functional codeManual traders ready to replace gut feeling with testable, data-driven systems
Whether you want to trade your own capital or build a career in fintech, this book gives you the foundation - from your first line of trading code to a working bot backed by machine learning and evolutionary algorithms.
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