HomeBrowseUpload
← Back to registry
// Skill profile

TA Signal Engine

name: ta-signal-engine

by 1477009639zw-blip · published 2026-04-01

数据处理自动化任务
Total installs
0
Stars
★ 0
Last updated
2026-04
// Install command
$ claw add gh:1477009639zw-blip/1477009639zw-blip-beta-ta-signal-engine
View on GitHub
// Full documentation

---

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

    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.
  • // Comments
    Sign in with GitHub to leave a comment.
    // Related skills

    More tools from the same signal band