Real-time trading compliance engine — evaluates trades against prop-firm drawdown and risk limits before execution, with OCR signal extraction and Kelly Criterion position sizing.
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Aug 25, 2026 - Python
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algorithimic-tranding
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This project implements and evaluates a Mean Reversion trading strategy using historical financial market data and technical indicators. The strategy is tested on three assets: Apple (AAPL), Ethereum (ETH-USD), and Coca-Cola (KO), using historical data retrieved from Yahoo Finance through the yfinance library.
time-series yahoo-finance-api data-analysis technical-analysis financial-data financial-analysis yahoo-finance time-series-analysis backtesting mean-reversion yfinance aapl yfinance-api eth-usd trading-strategy-simulation algorithimic-tranding
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Updated
Oct 15, 2026 - Jupyter Notebook
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