Skills 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.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/1477009639zw-blip/beta-ta-signal-engine" ~/.claude/skills/clawdbot-skills-ta-signal-engine && rm -rf "$T"

manifest: skills/1477009639zw-blip/beta-ta-signal-engine/SKILL.md

source content

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

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.