{"product_id":"cme-bitcoin-micro-bitcoin-trading-bot-suite-python-source-code","title":"CME Bitcoin \u0026 Micro Bitcoin Bot Suite | 4 Python Strategies","description":"\u003ch2\u003eStudy four approaches to CME Bitcoin futures in Python\u003c\/h2\u003e\u003cp\u003eCompare a Micro Bitcoin short-breakdown model, two Micro Bitcoin long models, and a full-size Bitcoin trend strategy in one source-code bundle. Built for developers and quantitative-trading researchers who want to inspect signal rules, adapt risk controls, and run their own tests, not buy a promise of returns.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePrice:\u003c\/strong\u003e $47 for the suite. \u003cstrong\u003eFormat:\u003c\/strong\u003e Python source-code files with documented strategy logic. \u003cstrong\u003eSkill level:\u003c\/strong\u003e Best for readers comfortable with Python and futures market data.\u003c\/p\u003e\u003ch3\u003eFour strategies in the bundle\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicro Bitcoin Short v2:\u003c\/strong\u003e A short-side breakdown strategy using trend, volatility, and ATR-based risk inputs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMBT Statistical Mean-Reversion Long:\u003c\/strong\u003e A Z-score and RSI-based approach to researching oversold conditions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMBT Momentum \u0026amp; Trend Engine:\u003c\/strong\u003e A moving-average and RSI trend model with trailing-stop logic.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBTC Full-Size Trend Runner:\u003c\/strong\u003e A long-side trend model with staged profit-taking logic for full-size Bitcoin futures.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eWhat you can explore\u003c\/h3\u003e\u003cp\u003eRead the indicator and signal calculations, compare how each strategy sizes and manages positions, and use the documented integration points as a starting place for your own data-feed and execution setup. The listing identifies these four source files: \u003ccode\u003ebot_g2m_mbt_short_portable.py\u003c\/code\u003e, \u003ccode\u003ebar_mbt_long_20260914_194807_gen2_portable.py\u003c\/code\u003e, \u003ccode\u003ebar_mbt_long_20260918_013013_gen2_portable.py\u003c\/code\u003e, and \u003ccode\u003ebar_btc_long_20260916_212911_portable.py\u003c\/code\u003e.\u003c\/p\u003e\u003ch3\u003eBefore you buy\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration work is required:\u003c\/strong\u003e Data feeds, broker connections, order routing, and live execution are not presented here as turnkey services. Inspect the actual files and dependencies before attempting to run them.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResults are limited:\u003c\/strong\u003e The listed MBT historical test uses just two trades on 4-hour OHLCV data. A 100% win rate or 0% drawdown in that sample is not evidence of durable performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBTC figures are estimates:\u003c\/strong\u003e The advertised BTC metrics are medians across 45 analyzed configurations, not verified results from this exact engine. No future return is implied.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eContract codes require attention:\u003c\/strong\u003e The examples reference dated MBTM6, MBTU6, and BTCU6 contracts. Review contract selection, rollover, data quality, trading costs, slippage, and risk limits in your own tests.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eTechnical starting point\u003c\/h3\u003e\u003cp\u003ePython 3.10+ and suitable OHLCV futures data. The product description specifies placeholder broker\/data interfaces, so plan to implement and validate integration for your environment. Start with reproducible paper tests before considering any live use.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFor educational and research purposes only.\u003c\/strong\u003e This is not financial or investment advice. Futures and cryptocurrency trading involve substantial risk of loss. Historical, hypothetical, and peer-derived estimates do not predict live outcomes.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":67589378605365,"sku":null,"price":29.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0967\/8549\/8421\/files\/bar_btc_long_20260916_212911_thumbnail.jpg?v=1790611799","url":"https:\/\/hftcode.com\/products\/cme-bitcoin-micro-bitcoin-trading-bot-suite-python-source-code","provider":"HFTCODE.COM","version":"1.0","type":"link"}