moving-average-crossover

Fast exact grid search and backtesting of moving-average crossover strategies, with vectorized evaluation and multiple-testing-aware Sharpe diagnostics.

Implementation of some trading strategies and verifying their performance by backtesting using historical prices.

This Python script generates Buy and Sell signals for stocks based on a classic Moving Average Crossover strategy.

An implementation of a dynamic trading strategy combining moving average crosses with a trailing stop-loss to maximize profits in a real-time simulated trading environment.

An exploratory framework for rigorously backtesting algorithmic trading strategies. This project investigates how quantitative metrics can reliably separate robust models from curve-fitted anomalies, bridging the gap between historical simulation and live paper-trading validation.

Python script analyzes Tesla stock data, displaying candlestick chart, 3D scatter plot, & line chart (closing price, MA50, MA200). Generates buy/sell signals based on moving average crossovers.

Series of simple algorithmic trading experiments implemented in Python. Starting with basic strategies (Golden Cross, etc.) on SPY for educational purposes. I'm a beginner in Python and using this repo to learn and share progress.