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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 来源安装数☆ 0 仓库 Starsv1.0.2

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install eplt/binance-signal-engine

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/eplt/binance-signal-engine
Version
1.0.2
Commit
78c132ecb07b69da9662ee52ed5532a486c15b39
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

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...

来源内容

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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