Building an Overnight Paper Trading Tournament System in Python

Introduction In the world of algorithmic trading, it's essential to test and validate strategies in a controlled environment before deploying them on live markets. Paper trading, where trades are simulated using real-time market data, is an excellent way to do this. In this article, we'll explore building an overnight paper trading tournament system in Python using Alpaca API for trade execution. Why Overnight Trading? While intraday trading can be exciting, it's also riskier due to market volatility and sudden changes in prices. Overnight trading, on the other hand, offers a safer environment for automated systems to operate. The markets are less volatile at night, allowing your strategies to focus on long-term goals rather than short-term gains. Architecture Our system will be built around the TradeSight architecture: Strategy Rotation : A collection of trading strategies that can be rotated in and out of the tournament based on their performance. Tournament Loop : An overnight loop