توضیحات
This book serves as a practical guide for developers and quantitative analysts who want to leverage Python for algorithmic and quantitative trading. It covers essential topics such as market data acquisition, time-series analysis, backtesting, portfolio optimization, and automated execution. Using libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, the book demonstrates how to create data-driven strategies based on real market trends. Each recipe is designed to solve a specific trading problem, making it easy to implement and customize. Readers also learn about deploying models to live environments and integrating APIs for real-time trading. With its hands-on approach, this cookbook empowers traders and developers to turn financial data into actionable trading algorithms.
نقد و بررسیها
هنوز بررسیای ثبت نشده است.