openalgo-execution-skills

OpenAlgo execution expert. Auto-loaded knowledge base for building algorithmic trading strategies that toggle between VectorBT backtest and OpenAlgo live execution. Triggers when user mentions OpenAlgo trading strategies, dual-mode strategies, /python self-hosted strategies, options execution (short straddle, iron condor), portfolio risk caps, or live execution with stop loss / target / trailing stop / risk management.

Validate a generated strategy and produce an upload guide for OpenAlgo's /python self-hosted strategy page. Confirms env-var reads, SIGTERM, stdout-only logging.

Generate options-only execution strategies (short straddle, iron condor). Backtest mode is intentionally disabled. Live mode uses optionsmultiorder + per-leg SL.

Run multiple strategies under one supervisor with portfolio-level risk caps (portfolio SL/TP, daily PnL limits, max concurrent positions). YAML-driven.

Verify a strategy's SL / TP / trailing stop / portfolio caps fire correctly. Uses OpenAlgo sandbox + synthetic price moves. Run this before going live.

Set up the Python environment for OpenAlgo execution skills - venv, openalgo[indicators], vectorbt, talib, scikit-learn, xgboost. Scaffolds strategies/ folder and .env.

Generate a single-file dual-mode trading strategy. Asks for indicator library and execution type. The same file runs `--mode backtest` (VectorBT) and `--mode live` (OpenAlgo). Upload-ready for OpenAlgo /python self-hosted.