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binance-signal-engine

Multi-timeframe crypto technical analysis with scored trading signals, structured trade plans, and position sizing via Binance public API. Use when user asks to "analyze BTC", "what's the signal on ETH/USDT", "crypto analysis", "trade setup for SOL", "scan crypto pairs", "check the trend on BTC", "multi-timeframe analysis", "generate a trading signal", "what's the bias on ETH", "TA on BTC/USDT", "is it a good time to buy BTC", or "position size for a crypto trade".

eplt0 source installs☆ 0 Repository starsv1.0.2

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install eplt/binance-signal-engine

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Binance Signal Engine

Multi-timeframe technical analysis signal generator for cryptocurrency markets. Layers three timeframes into a single weighted score and outputs a structured trade plan with position sizing.

When to Use

Use this skill when the user wants to:

  • Analyze any Binance-listed crypto pair technically
  • Get a directional bias or trading signal (bullish/bearish/neutral)
  • Generate entry, stop-loss, and take-profit levels for a trade
  • Check trend regime (1D), momentum (4H), and entry timing (15m)
  • Size a position based on account risk parameters
  • Scan multiple symbols in one pass
  • Get a backtest-ready data row for a symbol

How It Works

The engine scores three independent timeframe layers and combines them:

1D — Trend Regime EMA structure (9/21/50), ADX with directional indicators (DI+/DI−). Determines whether the macro environment is bullish, bearish, or neutral. This is the directional anchor — momentum and trigger signals are interpreted relative to this regime.

4H — Momentum MACD line vs signal crossovers, histogram direction, and Stochastic Oscillator crosses. Stochastic signals are weighted asymmetrically depending on the regime (e.g. a bullish stoch cross from oversold in a bullish regime scores higher than in a bearish one).

15m — Entry Trigger RSI oversold/overbought reclaims, Bollinger Band re-entries, volume spikes relative to the 20-period moving average, and RSI divergence detection over a 20-bar lookback. This layer determines whether right now is a valid entry moment.

Each component contributes a configurable weighted score. The composite maps to a five-tier bias scale: STRONG BULLISH → BULLISH → NEUTRAL → BEARISH → STRONG BEARISH, with corresponding action recommendations (BUY, WATCH LONG, WAIT, WATCH SHORT, SELL/SHORT).

When conditions align, the trade planner generates a full plan using rolling support/resistance levels, ATR-based stops, and configurable risk-reward targets. The position sizer respect...

Source information

Source
github
Repository
openclaw/skills
Path
skills/eplt/binance-signal-engine
Version
1.0.2
Commit
78c132ecb07b69da9662ee52ed5532a486c15b39
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Binance Signal Engine

Multi-timeframe crypto technical analysis signal generator for OpenClaw / ClawHub.

ClawHub Python 3.8+ License: MIT

What It Does

Binance Signal Engine layers three timeframes (1D / 4H / 15m) into a single weighted technical analysis score for any Binance-listed crypto pair. When conditions align, it generates a complete trade plan with entry, stop-loss, take-profit, and position sizing.

═══════════════════════════════════════════════════
  BTC/USDT  |  SPOT  |  Score: 37.0
═══════════════════════════════════════════════════
  Regime : bullish
  Bias   : STRONG BULLISH
  Action : BUY
  Trend  : +25.0  |  Momentum: +7.0  |  Trigger: +5.0

  Signal Reasons:
    • Price > EMA50 (1D)
    • EMA9 > EMA21 (1D)
    • ADX=32.4 strong bullish trend
    • MACD > Signal (4H)
    • MACD histogram rising (4H)
    • RSI reclaimed above oversold (38.2)
    ...

  Trade Plan (READY):
    Side       : long
    Entry_type : market
    Entry      : 97432.10
    Stop_loss  : 95891.30
    Take_profit: 100514.70
    Effective_risk_reward: 2.00

  Position Size:
    Units      : 0.00648
    Notional   : $631.48
    Risk Budget: $100.00
═══════════════════════════════════════════════════

Installation

Via ClawHub (recommended)
npx clawhub@latest install binance-signal-engine
Manual
# Clone into your OpenClaw skills directory
git clone https://github.com/eplt/binance-signal-engine.git \
  ~/.openclaw/skills/binance-signal-engine

# Install Python dependencies
pip install ccxt pandas numpy ta

Usage

From OpenClaw Chat

Just ask naturally:

  • "Analyze BTC/USDT"
  • "What's the signal on ETH?"
  • *"Give me a trade setup for SOL/USDT...

Extracted content

SKILL.md
# Binance Signal Engine

Multi-timeframe technical analysis signal generator for cryptocurrency markets. Layers three timeframes into a single weighted score and outputs a structured trade plan with position sizing.

## When to Use

Use this skill when the user wants to:

- Analyze any Binance-listed crypto pair technically
- Get a directional bias or trading signal (bullish/bearish/neutral)
- Generate entry, stop-loss, and take-profit levels for a trade
- Check trend regime (1D), momentum (4H), and entry timing (15m)
- Size a position based on account risk parameters
- Scan multiple symbols in one pass
- Get a backtest-ready data row for a symbol

## How It Works

The engine scores three independent timeframe layers and combines them:

**1D — Trend Regime**
EMA structure (9/21/50), ADX with directional indicators (DI+/DI−). Determines whether the macro environment is bullish, bearish, or neutral. This is the directional anchor — momentum and trigger signals are interpreted relative to this regime.

**4H — Momentum**
MACD line vs signal crossovers, histogram direction, and Stochastic Oscillator crosses. Stochastic signals are weighted asymmetrically depending on the regime (e.g. a bullish stoch cross from oversold in a bullish regime scores higher than in a bearish one).

**15m — Entry Trigger**
RSI oversold/overbought reclaims, Bollinger Band re-entries, volume spikes relative to the 20-period moving average, and RSI divergence detection over a 20-bar lookback. This layer determines whether *right now* is a valid entry moment.

Each component contributes a configurable weighted score. The composite maps to a five-tier bias scale: STRONG BULLISH → BULLISH → NEUTRAL → BEARISH → STRONG BEARISH, with corresponding action recommendations (BUY, WATCH LONG, WAIT, WATCH SHORT, SELL/SHORT).

When conditions align, the trade planner generates a full plan using rolling support/resistance levels, ATR-based stops, and configurable risk-reward targets. The position sizer respect...
README
# Binance Signal Engine

> Multi-timeframe crypto technical analysis signal generator for OpenClaw / ClawHub.

[![ClawHub](https://img.shields.io/badge/ClawHub-binance--signal--engine-blue)](https://clawhub.ai/eplt/binance-signal-engine)
[![Python 3.8+](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

## What It Does

Binance Signal Engine layers three timeframes (1D / 4H / 15m) into a single weighted technical analysis score for any Binance-listed crypto pair. When conditions align, it generates a complete trade plan with entry, stop-loss, take-profit, and position sizing.

```
═══════════════════════════════════════════════════
  BTC/USDT  |  SPOT  |  Score: 37.0
═══════════════════════════════════════════════════
  Regime : bullish
  Bias   : STRONG BULLISH
  Action : BUY
  Trend  : +25.0  |  Momentum: +7.0  |  Trigger: +5.0

  Signal Reasons:
    • Price > EMA50 (1D)
    • EMA9 > EMA21 (1D)
    • ADX=32.4 strong bullish trend
    • MACD > Signal (4H)
    • MACD histogram rising (4H)
    • RSI reclaimed above oversold (38.2)
    ...

  Trade Plan (READY):
    Side       : long
    Entry_type : market
    Entry      : 97432.10
    Stop_loss  : 95891.30
    Take_profit: 100514.70
    Effective_risk_reward: 2.00

  Position Size:
    Units      : 0.00648
    Notional   : $631.48
    Risk Budget: $100.00
═══════════════════════════════════════════════════
```

## Installation

### Via ClawHub (recommended)

```bash
npx clawhub@latest install binance-signal-engine
```

### Manual

```bash
# Clone into your OpenClaw skills directory
git clone https://github.com/eplt/binance-signal-engine.git \
  ~/.openclaw/skills/binance-signal-engine

# Install Python dependencies
pip install ccxt pandas numpy ta
```

## Usage

### From OpenClaw Chat

Just ask naturally:

- *"Analyze BTC/USDT"*
- *"What's the signal on ETH?"*
- *"Give me a trade setup for SOL/USDT...

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