ta-signal-engine

# TA Signal Engine Use this skill when the user wants technical-analysis based entry/exit signals and risk-defined trade setup proposals. ## Inputs - OHLCV CSV with headers including: `date, open, high, low, close` (case-insensitive) - Strategy mode: `trend`, `mean-reversion`, or `breakout` ## Run ```bash python3 scripts/ta_signal_engine.py \ --csv /abs/path/prices.csv \ --symbol BTCUSDT \ --strategy trend \ --account-size 100000 \ --risk-per-trade 0.01 \ --json ``` ## Workflow 1. Run the script and inspect `signal` and `confidence`. 2. If `signal=flat`, explain why (no edge from current indicators). 3. If signal is active, use generated `entry/stop/target/size` as the candidate plan. 4. Do not claim certainty; frame it as probabilistic setup. ## Notes - This skill only produces analysis and paper-trade plans. - For historical evaluation, use `ta-backtest` skill. - For ledger/order lifecycle, use `ta-paper-executor` skill.