Free Python Futures Trading Strategies | NQ Short Selling + Micro Bitcoin

Two free Python futures trading strategy resources

Study two distinct approaches to algorithmic futures trading in one educational bundle: a short-side mean-reversion strategy for CME Nasdaq-100 E-mini Futures (NQ), and a regulatory-catalyst momentum strategy for CME Micro Bitcoin Futures (MBT).

Included strategies

• Python Short Selling Algorithm — Nasdaq-100 Futures (NQ CME): explores z-score overextension, RSI momentum turns, volume confirmation and a 30-minute signal / 5-minute execution design. The source listing describes a portable Gen1 Python strategy and a Gen2 variant.
• Micro Bitcoin Futures Trading Bot — Regulatory Momentum Python Strategy (MBTM6 CME): explores regulatory-catalyst scoring, momentum filters, ATR-based risk sizing and risk controls. The source listing describes a portable Python file with broker integration points to complete.

For Python developers, quantitative trading students and systematic traders who want to inspect and adapt strategy logic. Broker connectivity, testing and deployment are your responsibility. Download access to both files must be configured before this bundle is published.

Important risk disclosure

Educational and informational material only, not financial or investment advice. Futures and cryptocurrency futures can cause substantial losses. The NQ strategy's listed backtest had only three qualifying trades and a negative net result; this is not a meaningful basis for performance predictions. No strategy or result is guaranteed. Test carefully before any live use.