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Found 7 Skills
Unified trading system with auto-logging, bots, and performance analytics
Best practices for building trading bots, arbitrage detectors, and high-performance trading systems with MMT. Use when building automated trading strategies, cross-exchange arbitrage, real-time market analysis, or backtesting systems using MMT's multi-exchange API.
Use when building trading systems, backtesting strategies, implementing execution algorithms, or analyzing market microstructure - covers strategy development, risk management, and production deploymentUse when ", " mentioned.
Design and build Solana trading bots - execution engine, position management, risk controls, and operational infrastructure. Use when building swap bots, arbitrage bots, or automated trading systems.
Build trading systems in the style of Two Sigma, the systematic investment manager pioneering machine learning at scale. Emphasizes alternative data, distributed computing, feature engineering, and rigorous ML infrastructure. Use when building ML pipelines for alpha research, feature stores, or large-scale backtesting systems.
Automated trading system management using Python and MetaTrader 5 API. V6.6 Predator Version with Infinite RR, Self-Evolution, and Triple-Resonance.
Guide the design and implementation of order lifecycle management in trading systems. Use when building an order state machine for an OMS or EMS, implementing or debugging FIX protocol connectivity to exchanges, handling cancel/replace race conditions, defining pre-submission validation rules (buying power, position limits, restricted lists), selecting order types and time-in-force instructions, designing multi-leg or OCO or bracket orders, building CAT-compliant audit trails, troubleshooting order rejections or unexpected state transitions, hardening an OMS against edge cases, or implementing order persistence and recovery for failover. Also covers FIX message flows, ClOrdID chaining, and partial fill aggregation.