Step-by-step Python recipes for data acquisition and visualization enable hands-on learning and market research
Professionals share advanced backtesting and strategy evaluation techniques for improved trading performance
Leverage OpenBB SDK and Lightning-fast storage solutions for efficient data processing and research
Optimize strategy parameters and construct alpha factors using Scipy, Statsmodels, and Vectorbt
Deploy strategies in live trading environments with Interactive Brokers API for real-world experience
Summarized by Shop
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment
Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features
Follow practical Python recipes to acquire, visualize, and store market data for mar
Format
PDF e-Book
Language
English
Genre
Business, Education, Technology
Target Audience
Adults with Python experience and basic Python library knowledge