bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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".
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。
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.
Use this skill when the user wants to:
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...
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。
Multi-timeframe crypto technical analysis signal generator for OpenClaw / ClawHub.
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
═══════════════════════════════════════════════════
npx clawhub@latest install binance-signal-engine
# 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
Just ask naturally:
# 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...
# Binance Signal Engine
> Multi-timeframe crypto technical analysis signal generator for OpenClaw / ClawHub.
[](https://clawhub.ai/eplt/binance-signal-engine)
[](https://www.python.org/downloads/)
[](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...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
OpenClaw Chinese AI-enhanced knowledge management skill
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.