Neural Trading Engine

Backend-only prototype for a quant engine.

• Data: yfinance OHLCV
• Features: TA indicators
• Models: LogisticRegression / RandomForest (next: RL)
• Backtest: long/flat, no leverage

For research/education only. Not financial advice.

Quickstart

python3 -m venv .venv && source .venv/bin/activate pip install -r requirements.txt

Train on AAPL, 2017–2024

python train.py --tickers AAPL --start 2017-01-01 --end 2024-12-31

Evaluate + backtest (plots saved to artifacts/)

python evaluate.py --tickers AAPL --start 2019-01-01 --end 2024-12-31 --model rf