Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Fetch live BTCUSDT 15m candles from Binance public API and analyze market direction UP/DOWN/SKIP using EMA20 and RSI14. Use when asked to analyze BTC price d...
Fetch live BTCUSDT 15m candles from Binance public API and analyze market direction UP/DOWN/SKIP using EMA20 and RSI14. Use when asked to analyze BTC price d...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Fetch real-time BTCUSDT candlestick data from Binance public REST API and compute a directional trading signal based on EMA20 slope and RSI14 momentum.
User asks: "analisa BTC sekarang" User asks: "BTC akan naik atau turun?" User asks: "berikan sinyal trading BTC 15 menit" User asks: "cek market BTC sekarang"
This skill runs a local Python script that: Fetches 200 candles of BTCUSDT 15m OHLCV data from Binance public API (no API key needed). Computes EMA20 from closing prices. Computes RSI14 from closing prices. Determines direction based on: price vs EMA20, RSI level, and recent candle slope. Returns a strict JSON object with decision, confidence score, and reasoning.
Step 1 โ Run the analyzer script via bash tool: python3 ~/.npm-global/lib/node_modules/openclaw/skills/btc-analyzer/analyze.py Step 2 โ Parse the JSON output. Step 3 โ Present the result to the user clearly, including: Decision (UP / DOWN / SKIP) Confidence percentage Reason (EMA, RSI, slope context) Last close price Timestamp
The script returns strict JSON: { "decision": "UP", "confidence": 72, "reason": "price above EMA20, RSI 58, bullish slope last 3 candles", "lastClose": 94500.00, "ema20": 94200.00, "rsi14": 58.3, "timestamp": "2026-02-23T00:00:00Z" } Decision values: UP: bullish signal, consider long DOWN: bearish signal, consider short SKIP: no clear signal, stay out Confidence range: 0-100 (higher = stronger signal)
RSI < 30: decision = UP (oversold) RSI > 70: decision = DOWN (overbought) Price > EMA20 AND slope up: decision = UP Price < EMA20 AND slope down: decision = DOWN Otherwise: decision = SKIP
If Binance API is unreachable or returns an error: {"decision":"SKIP","confidence":0,"reason":"API error or network issue","lastClose":0,"timestamp":""}
Always run the script via bash tool โ never fabricate or guess output values. Do not hardcode prices or decisions. If script fails, show the actual error message to the user. This skill uses Binance public API only โ no API key or authentication required. Data is real-time; do not cache or reuse previous results.
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