Algorithmic Trading with Python

Name: Algorithmic Trading with Python
Brand: AlgoCracked
Price: 39 USD
Availability: InStock

End-to-End Trading Systems

The reader will build a complete algorithmic trading system — from data ingestion and signal generation through backtesting, risk management, and live execution — using Python and battle-tested open-source libraries.

What you'll master

Beginning of book: market data, market mechanics, indicators, and system boundaries

Middle of book: backtesting, evaluation discipline, and strategy/risk architecture

End of book: execution, live deployment, monitoring, and system iteration

Prerequisites

Intermediate Python (classes, decorators, async basics)
Pandas and NumPy proficiency
Basic statistics (mean, variance, distributions)
Understanding of financial markets (what a candlestick chart shows, what bid/ask means)

Deep Dive

Market data APIs, tick and bar data handling, technical indicator implementation, signal generation, event-driven backtesting, vectorized backtesting, transaction cost modeling, position sizing, portfolio construction, broker API integration, paper trading, live execution, logging, and monitoring.

Final Deliverable

A production-ready algorithmic trading framework with modular data feeds, strategy engine, backtester, risk manager, and broker connectivity layer.