Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill beta-ta-signal-engine --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
```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.
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