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Beta TA Signal Engine
by
1477009639zw-blip
· GitHub ↗
· v1.0.0
· MIT-0
144
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Install in OpenClaw
/install beta-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.
README (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.
Usage Guidance
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-management needs.
Capability Assessment
Purpose & Capability
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.
Instruction Scope
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.
Install Mechanism
No install spec is provided (instruction-only plus a local script), so nothing is downloaded or written to disk beyond executing the included script.
Credentials
No environment variables, credentials, or config paths are required. The script reads only the user-supplied CSV and performs local numeric calculations.
Persistence & Privilege
always is false and the skill does not request persistent or elevated platform privileges. It does not modify other skills or agent config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install beta-ta-signal-engine - After installation, invoke the skill by name or use
/beta-ta-signal-engine - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — technical analysis signal generation
Metadata
Frequently Asked Questions
What is 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. It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.
How do I install Beta TA Signal Engine?
Run "/install beta-ta-signal-engine" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Beta TA Signal Engine free?
Yes, Beta TA Signal Engine is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Beta TA Signal Engine support?
Beta TA Signal Engine is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Beta TA Signal Engine?
It is built and maintained by 1477009639zw-blip (@1477009639zw-blip); the current version is v1.0.0.
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