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Beta TA Signal Engine

v1.0.0

Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size.

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by @1477009639zw-blip·MIT-0
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License
MIT-0
最后更新
2026/3/28
安全扫描
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Pending
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OpenClaw
安全
high confidence
The skill is internally consistent: it implements a local CSV-driven TA signal generator, asks for no credentials or installs, and the runtime instructions match the included script.
评估建议
This appears to be a straightforward, local TA signal generator. Before using it: (1) Only run the script on CSV files you trust — it reads whatever file path you pass and will error on malformed data; (2) If you plan to run it in an automated agent, remember the agent will execute the included Python code locally — run in a sandbox if you're uneasy; (3) There are no network calls or secret-access requests in the code, but review or test with sample data to confirm outputs meet your risk-managem...
详细分析 ▾
✓ 用途与能力
Name/description (TA signals from OHLCV CSV) match the included script and inputs. The code only computes SMA/EMA/RSI/MACD/ATR and returns entry/stop/target/size — nothing extraneous is requested.
✓ 指令范围
SKILL.md instructs running the shipped Python script against a provided CSV path and to interpret the signal; the instructions do not request access to other files, environment secrets, or remote services.
✓ 安装机制
No install spec is provided (instruction-only plus a local script), so nothing is downloaded or written to disk beyond executing the included script.
✓ 凭证需求
No environment variables, credentials, or config paths are required. The script reads only the user-supplied CSV and performs local numeric calculations.
✓ 持久化与权限
always is false and the skill does not request persistent or elevated platform privileges. It does not modify other skills or agent config.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/28

Initial release — technical analysis signal generation

● Pending

安装命令 点击复制

官方npx clawhub@latest install beta-ta-signal-engine
镜像加速npx clawhub@latest install beta-ta-signal-engine --registry https://cn.clawhub-mirror.com

技能文档

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.
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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