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".
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install eplt/binance-signal-engineExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
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...
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