{"product_id":"complete-3-bot-multi-asset-quant-suite-mes-mcl-sol","title":"Complete 3-Bot Multi-Asset Quant Suite (MES + MCL + SOL)","description":"\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; color: #1e2937; line-height: 1.6; max-width: 920px; margin: 0 auto; padding: 20px;\"\u003e\n\n  \u003c!-- Master Header Banner --\u003e\n  \u003cdiv style=\"background: linear-gradient(135deg, #090d16 0%, #1e293b 100%); color: #ffffff; padding: 32px 24px; border-radius: 12px; margin-bottom: 28px; border: 1px solid #334155;\"\u003e\n    \u003cspan style=\"background-color: #3b82f6; color: #ffffff; font-size: 11px; font-weight: 700; text-transform: uppercase; letter-spacing: 1px; padding: 4px 10px; border-radius: 9999px; display: inline-block; margin-bottom: 12px;\"\u003e3-in-1 Systematic Quant Suite\u003c\/span\u003e\n    \u003ch1 style=\"font-size: 26px; font-weight: 800; margin: 0 0 10px 0; color: #f8fafc; line-height: 1.25;\"\u003eMulti-Asset Systematic Futures Trio: S\u0026amp;P 500, Crude Oil \u0026amp; Solana\u003c\/h1\u003e\n    \u003cp style=\"font-size: 15px; color: #94a3b8; margin: 0;\"\u003eComplete, uncompiled, broker-agnostic Python source code for three institutional algorithmic strategies spanning Equity Indices (MES), Energy Commodities (MCL), and Digital Assets (SOL).\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- 3 Bot Overview Cards --\u003e\n  \u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 16px; margin-bottom: 32px;\"\u003e\n    \u003c!-- MES Card --\u003e\n    \u003cdiv style=\"background: #ffffff; border: 1px solid #e2e8f0; border-radius: 8px; padding: 18px; box-shadow: 0 1px 3px rgba(0,0,0,0.05);\"\u003e\n      \u003cdiv style=\"display: flex; justify-content: space-between; align-items: center; margin-bottom: 6px;\"\u003e\n        \u003cspan style=\"font-size: 11px; font-weight: 700; text-transform: uppercase; color: #2563eb; background: #eff6ff; padding: 2px 8px; border-radius: 4px;\"\u003eCME · MES\u003c\/span\u003e\n        \u003cspan style=\"font-size: 12px; font-weight: 700; color: #16a34a;\"\u003eGrade A+ (est.)\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv style=\"font-size: 17px; font-weight: 800; color: #0f172a;\"\u003eFed Pivot Momentum\u003c\/div\u003e\n      \u003cp style=\"font-size: 13px; color: #64748b; margin: 6px 0 10px 0;\"\u003eDisinflationary trend following \u0026amp; regime momentum on Micro S\u0026amp;P 500.\u003c\/p\u003e\n      \u003cdiv style=\"font-size: 12px; border-top: 1px solid #f1f5f9; padding-top: 8px; color: #334155;\"\u003e\n        \u003cstrong\u003eSharpe:\u003c\/strong\u003e 1.527 (est.)  |  \u003cstrong\u003eMax DD:\u003c\/strong\u003e 1.28%\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n\n    \u003c!-- MCL Card --\u003e\n    \u003cdiv style=\"background: #ffffff; border: 1px solid #e2e8f0; border-radius: 8px; padding: 18px; box-shadow: 0 1px 3px rgba(0,0,0,0.05);\"\u003e\n      \u003cdiv style=\"display: flex; justify-content: space-between; align-items: center; margin-bottom: 6px;\"\u003e\n        \u003cspan style=\"font-size: 11px; font-weight: 700; text-transform: uppercase; color: #d97706; background: #fffbeb; padding: 2px 8px; border-radius: 4px;\"\u003eNYMEX · MCL\u003c\/span\u003e\n        \u003cspan style=\"font-size: 12px; font-weight: 700; color: #16a34a;\"\u003eGrade A+ (est.)\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv style=\"font-size: 17px; font-weight: 800; color: #0f172a;\"\u003eGeo-Backwardation\u003c\/div\u003e\n      \u003cp style=\"font-size: 13px; color: #64748b; margin: 6px 0 10px 0;\"\u003eSupply tightness, breakout trend \u0026amp; risk premia on Micro WTI Crude Oil.\u003c\/p\u003e\n      \u003cdiv style=\"font-size: 12px; border-top: 1px solid #f1f5f9; padding-top: 8px; color: #334155;\"\u003e\n        \u003cstrong\u003eSharpe:\u003c\/strong\u003e 1.871 (est.)  |  \u003cstrong\u003eAnn. Return:\u003c\/strong\u003e 11.28%\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n\n    \u003c!-- SOL Card --\u003e\n    \u003cdiv style=\"background: #ffffff; border: 1px solid #e2e8f0; border-radius: 8px; padding: 18px; box-shadow: 0 1px 3px rgba(0,0,0,0.05);\"\u003e\n      \u003cdiv style=\"display: flex; justify-content: space-between; align-items: center; margin-bottom: 6px;\"\u003e\n        \u003cspan style=\"font-size: 11px; font-weight: 700; text-transform: uppercase; color: #7c3aed; background: #f5f3ff; padding: 2px 8px; border-radius: 4px;\"\u003eCME · SOL\u003c\/span\u003e\n        \u003cspan style=\"font-size: 12px; font-weight: 700; color: #16a34a;\"\u003eGrade A (Backtested)\u003c\/span\u003e\n      \u003c\/div\u003e\n      \u003cdiv style=\"font-size: 17px; font-weight: 800; color: #0f172a;\"\u003eSOL Futures Long (Gen2)\u003c\/div\u003e\n      \u003cp style=\"font-size: 13px; color: #64748b; margin: 6px 0 10px 0;\"\u003eSystematic long breakout \u0026amp; trailing-stop momentum on Solana futures.\u003c\/p\u003e\n      \u003cdiv style=\"font-size: 12px; border-top: 1px solid #f1f5f9; padding-top: 8px; color: #334155;\"\u003e\n        \u003cstrong\u003eAnn. Return:\u003c\/strong\u003e 34.59%  |  \u003cstrong\u003eProfit Factor:\u003c\/strong\u003e 10.0\n      \u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Suite Overview --\u003e\n  \u003ch2 style=\"font-size: 20px; font-weight: 700; color: #0f172a; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; margin-top: 32px; margin-bottom: 16px;\"\u003eSystematic Portfolio Strategy Overview\u003c\/h2\u003e\n  \u003cp\u003eBuilding resilient systematic trading infrastructure requires diversification not just across parameters, but across non-correlated asset classes. This multi-asset package provides production-grade source code for three institutional trading models:\u003c\/p\u003e\n  \u003cul style=\"padding-left: 20px; color: #334155;\"\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eMicro E-Mini S\u0026amp;P 500 (\u003ccode\u003ebot_mes_fed_pivot_momentum\u003c\/code\u003e):\u003c\/strong\u003e Employs multi-moving average crossovers, VWAP levels, Donchian channels, and realized-volatility filters to capture macro equity expansions.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eMicro WTI Crude Oil (\u003ccode\u003ebot_mcl_geo_backwardation\u003c\/code\u003e):\u003c\/strong\u003e Exploits term-structure supply shocks and breakout momentum with tiered R-multiple target exits and ATR-based inverse volatility sizing.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eSolana Futures (\u003ccode\u003ebar_sol_long_20260924_100807_gen2\u003c\/code\u003e):\u003c\/strong\u003e Engineered for high-beta digital asset markets, utilizing EMA trend confirmation, RSI thresholds, spread filters, and one-way trailing stops.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003c!-- Detailed Cross-Strategy Comparison Table --\u003e\n  \u003ch2 style=\"font-size: 20px; font-weight: 700; color: #0f172a; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; margin-top: 36px; margin-bottom: 16px;\"\u003eStrategy Specifications \u0026amp; Parameters\u003c\/h2\u003e\n  \u003cdiv style=\"overflow-x: auto; margin-bottom: 28px;\"\u003e\n    \u003ctable style=\"width: 100%; border-collapse: collapse; font-size: 13px; text-align: left;\"\u003e\n      \u003cthead\u003e\n        \u003ctr style=\"background: #f1f5f9; border-bottom: 2px solid #cbd5e1;\"\u003e\n          \u003cth style=\"padding: 10px 12px; font-weight: 700; color: #334155;\"\u003eParameter\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; font-weight: 700; color: #1e293b;\"\u003eMES Fed Pivot\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; font-weight: 700; color: #1e293b;\"\u003eMCL Geo-Backwardation\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; font-weight: 700; color: #1e293b;\"\u003eSOL Long Gen2\u003c\/th\u003e\n        \u003c\/tr\u003e\n      \u003c\/thead\u003e\n      \u003ctbody\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eExchange \u0026amp; Symbol\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eCME · \u003ccode\u003eMESM6\u003c\/code\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eNYMEX · \u003ccode\u003eMCLN6\u003c\/code\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eCME · \u003ccode\u003eSOL\u003c\/code\u003e\n\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0; background-color: #f8fafc;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eDirection \/ Bias\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eLONG Only\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eLONG Only\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eLONG Only\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eMax Sizing Cap\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e3 Contracts\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e4 Contracts\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e1 Contract\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0; background-color: #f8fafc;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eData Poll Cadence\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e60 seconds\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e60 seconds\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e60 seconds\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eKey Indicators\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eRSI, MACD, EMA\/SMA, Donchian, VWAP, Vol Regime\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eRSI, MACD, EMA\/SMA, Donchian, ATR Volatility\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eRSI, EMA, ATR Volatility\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0; background-color: #f8fafc;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003ePosition Sizing Logic\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e% Capital + Margin cap + VIX scale\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e% Capital + Inverse ATR + VIX scale\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eDedicated sizing routine\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eProfit \/ Exit Engine\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eTrailing stop, Time exit, Thesis flip\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eScaled R-targets, Trailing stop, Thesis flip\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003eOne-way Ratcheting Trailing Stop\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0; background-color: #f8fafc;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eAnnualized Return\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e+3.92% (est.)\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px;\"\u003e+11.28% (est.)\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 700; color: #16a34a;\"\u003e+34.59% (Backtested)\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"border-bottom: 1px solid #e2e8f0;\"\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 600; color: #475569;\"\u003eSharpe Ratio\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 700; color: #15803d;\"\u003e1.527 (est.)\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 700; color: #15803d;\"\u003e1.871 (est.)\u003c\/td\u003e\n          \u003ctd style=\"padding: 9px 12px; font-weight: 700; color: #15803d;\"\u003e1.000\u003c\/td\u003e\n        \u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Shared Risk Engine Features --\u003e\n  \u003ch2 style=\"font-size: 20px; font-weight: 700; color: #0f172a; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; margin-top: 36px; margin-bottom: 16px;\"\u003eQuant Desk Risk \u0026amp; Execution Plumbing\u003c\/h2\u003e\n  \u003cul style=\"padding-left: 20px; color: #334155;\"\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003e100% Broker \u0026amp; Platform Agnostic:\u003c\/strong\u003e Proprietary data and order layers have been cleanly abstracted behind standard Python placeholders. Connect seamlessly to Interactive Brokers, Rithmic, Tradovate, or paper-trading simulated fill engines.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eBuilt-In Circuit Breakers:\u003c\/strong\u003e Automated consecutive-loss kill switches (5 losses), daily\/weekly drawdown circuit breakers, and bid\/ask spread filters.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eFeed Quality Protection:\u003c\/strong\u003e Stale data guards automatically suppress orders if market data feeds disconnect or lag.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eMaintenance Window Defense:\u003c\/strong\u003e Exchange-maintenance-window block prevents executing during CME\/NYMEX daily maintenance pauses.\u003c\/li\u003e\n    \u003cli style=\"margin-bottom: 8px;\"\u003e\n\u003cstrong\u003eStandard Library Foundation:\u003c\/strong\u003e Requires only standard Python 3.10+ (\u003ccode\u003easyncio\u003c\/code\u003e, \u003ccode\u003elogging\u003c\/code\u003e, \u003ccode\u003etyping\u003c\/code\u003e) with zero locked libraries.\u003c\/li\u003e\n  \u003c\/ul\u003e\n\n  \u003c!-- Package Contents --\u003e\n  \u003cdiv style=\"background-color: #f0fdf4; border: 1px solid #bbf7d0; border-radius: 8px; padding: 20px; margin: 28px 0;\"\u003e\n    \u003ch3 style=\"font-size: 16px; font-weight: 700; color: #166534; margin: 0 0 12px 0;\"\u003eWhat You Receive in This Package\u003c\/h3\u003e\n    \u003cul style=\"margin: 0; padding-left: 20px; color: #15803d; font-size: 14px;\"\u003e\n      \u003cli style=\"margin-bottom: 6px;\"\u003e\n\u003ccode\u003ebot_mes_fed_pivot_momentum_portable.py\u003c\/code\u003e (Clean, commented MES strategy file)\u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px;\"\u003e\n\u003ccode\u003ebot_mcl_geo_backwardation_portable.py\u003c\/code\u003e (Clean, commented MCL strategy file)\u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px;\"\u003e\n\u003ccode\u003ebar_sol_long_20260924_100807_gen2_portable.py\u003c\/code\u003e (Clean, commented SOL strategy file)\u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px;\"\u003eAsynchronous mock order-fill engine for immediate paper trading\u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 0;\"\u003eStructured JSON event telemetry module for real-time order auditing \u0026amp; analytics\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- FAQ --\u003e\n  \u003ch2 style=\"font-size: 20px; font-weight: 700; color: #0f172a; border-bottom: 2px solid #e2e8f0; padding-bottom: 8px; margin-top: 36px; margin-bottom: 16px;\"\u003eFrequently Asked Questions\u003c\/h2\u003e\n  \u003cdiv style=\"font-size: 14px; color: #334155;\"\u003e\n    \u003cp\u003e\u003cstrong\u003eQ: Does this require Rithmic or Redis?\u003c\/strong\u003e\u003cbr\u003e\n    A: No. All proprietary Redis and vendor-locked Rithmic infrastructure has been decoupled and replaced with universal Python placeholder interfaces.\u003c\/p\u003e\n    \u003cp\u003e\u003cstrong\u003eQ: Can I run this with paper trading first?\u003c\/strong\u003e\u003cbr\u003e\n    A: Yes. The included mock execution handlers allow you to stream live bars and simulate fills with zero financial risk.\u003c\/p\u003e\n    \u003cp\u003e\u003cstrong\u003eQ: Can these bots be calibrated for micro or mini contracts?\u003c\/strong\u003e\u003cbr\u003e\n    A: Yes. All instrument symbols, point values, tick sizes, and risk allocation percentages are exposed in a clear calibration block at the top of each script.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Legal Disclaimer --\u003e\n  \u003cdiv style=\"border-top: 1px solid #e2e8f0; margin-top: 40px; padding-top: 20px; font-size: 12px; color: #64748b; line-height: 1.5;\"\u003e\n    \u003cstrong\u003eEducational Disclaimer:\u003c\/strong\u003e This software is provided strictly for EDUCATIONAL AND RESEARCH PURPOSES ONLY and does NOT constitute financial or investment advice. Futures and cryptocurrency trading carry significant risk of capital loss. Past backtested performance, paper trading records, and statistical estimates do not guarantee future results.\n  \u003c\/div\u003e\n\n\u003c\/div\u003e","brand":"HFTCODE.COM","offers":[{"title":"Default Title","offer_id":67598896267573,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0967\/8549\/8421\/files\/mesmclsol.jpg?v=1790719090","url":"https:\/\/hftcode.com\/products\/complete-3-bot-multi-asset-quant-suite-mes-mcl-sol","provider":"HFTCODE.COM","version":"1.0","type":"link"}