Beta TA Signal Engine

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

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.