Crypto signal generator
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Multi-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY/SELL signals with confiden Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".
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SKILL.md
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Generating Trading Signals
Overview
Multi-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY/SELL signals with confidence scores and risk management levels.
Indicators Used:
- RSI (Relative Strength Index) - Overbought/oversold
- MACD (Moving Average Convergence Divergence) - Trend and momentum
- Bollinger Bands - Mean reversion and volatility
- Trend (SMA 20/50/200 crossovers) - Trend direction
- Volume - Confirmation of moves
- Stochastic Oscillator - Short-term momentum
- ADX (Average Directional Index) - Trend strength
Prerequisites
Install required dependencies:
pip install yfinance pandas numpy
Optional for visualization:
pip install matplotlib
Instructions
Step 1: Quick Signal Scan
Scan multiple assets for trading opportunities:
python {baseDir}/scripts/scanner.py --watchlist crypto_top10 --period 6m
Output shows signal type (STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL) and confidence for each asset.
Step 2: Detailed Signal Analysis
Get full indicator breakdown for a specific symbol:
python {baseDir}/scripts/scanner.py --symbols BTC-USD --detail
Shows each indicator's contribution:
- Individual signal (BUY/SELL/NEUTRAL)
- Indicator value
- Reasoning (e.g., "RSI oversold at 28.5")
Step 3: Filter and Rank Signals
Find the best opportunities:
# Only buy signals with 70%+ confidence
python {baseDir}/scripts/scanner.py --filter buy --min-confidence 70 --rank confidence
# Rank by most bullish
python {baseDir}/scripts/scanner.py --rank bullish
# Save results to JSON
python {baseDir}/scripts/scanner.py --output signals.json
Step 4: Use Custom Watchlists
Available predefined watchlists:
python {baseDir}/scripts/scanner.py --list-watchlists
python {baseDir}/scripts/scanner.py --watchlist crypto_defi
Watchlists: crypto_top10, crypto_defi, crypto_layer2, stocks_tech, etfs_major
Output
Signal Summary Table
================================================================================
SIGNAL SCANNER RESULTS
================================================================================
Symbol Signal Confidence Price Stop Loss
--------------------------------------------------------------------------------
BTC-USD STRONG_BUY 78.5% $67,234.00 $64,890.00
ETH-USD BUY 62.3% $3,456.00 $3,312.00
SOL-USD NEUTRAL 45.0% $142.50 N/A
--------------------------------------------------------------------------------
Summary: 2 Buy | 1 Neutral | 0 Sell
Scanned: 3 assets | [timestamp]
================================================================================
Detailed Signal Output
======================================================================
BTC-USD - STRONG_BUY
Confidence: 78.5% | Price: $67,234.00
======================================================================
Risk Management:
Stop Loss: $64,890.00
Take Profit: $71,922.00
Risk/Reward: 1:2.0
Signal Components:
----------------------------------------------------------------------
RSI | STRONG_BUY | Oversold at 28.5 (< 30)
MACD | BUY | MACD above signal, positive momentum
Bollinger Bands | BUY | Price near lower band (%B = 0.15)
Trend | BUY | Uptrend: price above key MAs
Volume | STRONG_BUY | High volume (2.3x) on up move
Stochastic | STRONG_BUY | Oversold (%K=18.2, %D=21.5)
ADX | BUY | Strong uptrend (ADX=32.1)
----------------------------------------------------------------------
Signal Types
| Signal | Score | Meaning |
|---|---|---|
| STRONG_BUY | +2 | Multiple strong buy signals aligned |
| BUY | +1 | Moderate buy signals |
| NEUTRAL | 0 | No clear direction |
| SELL | -1 | Moderate sell signals |
| STRONG_SELL | -2 | Multiple strong sell signals aligned |
Confidence Interpretation
| Confidence | Interpretation |
|---|---|
| 70-100% | High conviction, strong signal |
| 50-70% | Moderate conviction |
| 30-50% | Weak signal, mixed indicators |
| 0-30% | No clear direction, avoid trading |
Configuration
Edit {baseDir}/config/settings.yaml:
indicators:
rsi:
period: 14
overbought: 70
oversold: 30
signals:
weights:
rsi: 1.0
macd: 1.0
bollinger: 1.0
trend: 1.0
volume: 0.5
Error Handling
See {baseDir}/references/errors.md for common issues:
- API rate limits
- Insufficient data handling
- Network errors
Examples
See {baseDir}/references/examples.md for detailed examples:
- Multi-timeframe analysis
- Custom indicator parameters
- Combining with backtester
- Automated scanning schedules
Integration with Backtester
Test signals historically:
# Generate signal
python {baseDir}/scripts/scanner.py --symbols BTC-USD --detail
# Backtest the strategy that generated the signal
python {baseDir}/../trading-strategy-backtester/skills/backtesting-trading-strategies/scripts/backtest.py \
--strategy rsi_reversal --symbol BTC-USD --period 1y
Files
| File | Purpose |
|---|---|
scripts/scanner.py | Main signal scanner |
scripts/signals.py | Signal generation logic |
scripts/indicators.py | Technical indicator calculations |
config/settings.yaml | Configuration |
Resources
- yfinance for price data
- pandas/numpy for calculations
- Compatible with trading-strategy-backtester plugin