openclaw/ta-signal-engine
1477009639zw-blip/beta-ta-signal-engine/SKILL.md
Generate technical-analysis trade setups from OHLCV CSV using SMA/EMA/RSI/MACD/ATR with clear entry, stop, target, and position size.
$ install --global
skillsauthnpx skillsauth add openclaw/skills ta-signal-engineInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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Scanners Passed
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TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 2:13 AM285.9s1 file scanned
SKILL.md
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, orbreakout
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
signalandconfidence. - If
signal=flat, explain why (no edge from current indicators). - If signal is active, use generated
entry/stop/target/sizeas 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-backtestskill. - For ledger/order lifecycle, use
ta-paper-executorskill.
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