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, orbreakout
Run
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
- Run the script and inspect
signalandconfidence. - If
signal=flat, explain why (no edge from current indicators). - If signal is active, use generated
entry/stop/target/sizeas the candidate plan. - Do not claim certainty; frame it as probabilistic setup.
Notes
- This skill only produces analysis and paper-trade plans.
- For historical evaluation, use
ta-backtestskill. - For ledger/order lifecycle, use
ta-paper-executorskill.