A multi-timeframe technical analysis engine that generates scored trading signals and structured trade plans for cryptocurrency pairs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install binance-signal-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install binance-signal-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Binance Signal Engine?
The Binance Signal Engine is a sophisticated analytical tool designed for Openclaw Skills users to automate complex cryptocurrency market evaluations. By layering technical data across three distinct timeframes—Daily for trend regime, 4-Hour for momentum, and 15-Minute for entry triggers—it provides a comprehensive directional bias and actionable trade setups without requiring exchange API keys.
This skill bridges the gap between raw market data and execution-ready plans. It calculates weighted scores to categorize market sentiment from Strong Bullish to Strong Bearish, offering structured entry, stop-loss, and take-profit levels. Whether you are performing manual analysis or looking for programmatic JSON data to feed into larger workflows, this engine ensures your crypto strategies are backed by rigorous technical indicators like MACD, RSI, and Bollinger Bands.
Binance Signal Engine Use Cases
- Perform multi-timeframe technical analysis on any Binance-listed cryptocurrency pair.
- Generate automated trade plans with precise entry, stop-loss, and take-profit levels.
- Calculate optimal position sizing based on account risk and exchange constraints.
- Identify directional bias (bullish/bearish) using a weighted scoring system.
- Scan multiple symbols simultaneously to find high-probability setups.
How Binance Signal Engine Works
- Fetch public OHLCV data from Binance for 1D, 4H, and 15m timeframes via the ccxt library.
- Analyze the 1D timeframe to establish the macro trend regime using EMA structures and ADX indicators.
- Evaluate 4H momentum using MACD and Stochastic Oscillators to confirm directional strength relative to the trend.
- Detect 15m entry triggers through RSI divergence, Bollinger Band re-entries, and volume spikes.
- Aggregate results into a composite score and generate a formatted trade plan or JSON output for the user.
Binance Signal Engine Setup
To use this skill within Openclaw Skills, ensure you have Python 3.8+ installed. You can install the necessary dependencies using the following commands:
uv pip install ccxt pandas numpy ta
Alternatively, if you are not using uv:
pip install ccxt pandas numpy ta
Run the engine for a specific pair using the provided script:
python3 scripts/binance_signal_engine.py BTC/USDT
Binance Signal Engine Data Schema & Taxonomy
The Binance Signal Engine organizes data into four primary logical blocks for clarity and integration:
| Section | Description |
|---|---|
| signal | Includes the composite score, bias (e.g., STRONG BULLISH), and specific reasoning for the score. |
| trade_plan | Provides entry type, entry price, stop-loss, take-profit, and effective risk-reward ratio. |
| position_size | Details the units to trade, notional value, and risk budget based on your account balance. |
| backtest_row | A flattened record containing key metrics, ideal for CSV logging or historical analysis. |
All configurations can be customized via a JSON file to adjust indicator periods (EMA, RSI, MACD) and specific scoring weights.
Binance Signal Engine Advanced Features
- Customizable weighted scoring system for 15+ independent technical indicators.
- Futures mode support including leverage calculations and short-selling signal generation.
- Programmatic JSON output mode for seamless integration with other Openclaw Skills or automated bots.
- Automated risk management that respects exchange lot sizes and minimum notional limits.
- Detailed debug logging for transparent, step-by-step analysis of every indicator calculation.
SKILL.md
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