
Trade-Trooper is an autonomous multi-agent options trading engine built on Alpaca. It scans a broad universe of stocks, combining technical indicators, TTM Squeeze momentum analysis, and FinBERT-powered financial news sentiment to identify potential options opportunities. The system separates AI-driven analysis from trade execution. Every proposed trade must pass deterministic mathematical risk gates covering position sizing, portfolio exposure, contract liquidity, drawdown limits, and broker reconciliation before an order can be executed. Trade-Trooper focuses exclusively on defined-risk long Calls and Puts, using automated entry selection and dynamic exit rules based on profit targets, stop losses, holding horizons, and changes in market momentum. Its sector-specific parameters are optimized with Optuna across historical data, allowing different market sectors to use tailored strategy weights. The project integrates Alpaca's Trading API, CLI, and MCP ecosystem, with a Streamlit dashboard for live monitoring, backtesting, hyperparameter tuning, and portfolio management. A local Ollama model generates natural-language explanations and audit summaries, improving transparency without placing an LLM directly in the critical trade execution path. The result is a practical architecture where AI analyzes opportunities, deterministic mathematics governs risk, and Alpaca handles execution.
4 Sep 2026