| name | ta-signal-engine |
| description | Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size. |
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
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
signal and confidence.
- If
signal=flat, explain why (no edge from current indicators).
- If signal is active, use generated
entry/stop/target/size as 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-backtest skill.
- For ledger/order lifecycle, use
ta-paper-executor skill.
