generating-trading-signals
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: RSI, MACD, Bollinger Bands, Trend (SMA 20/50/200), Volume, Stochastic Oscillator, ADX.
Prerequisites
Install required dependencies:
set -euo pipefail
pip install yfinance pandas numpy
Optional for visualization: pip install matplotlib
Instructions
-
Quick signal scan across multiple assets:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --period 6mOutput shows signal type (STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL) and confidence per asset.
-
Detailed signal analysis for a specific symbol:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detailShows each indicator's individual signal, value, and reasoning.
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Filter and rank the best opportunities:
# Only buy signals with 70%+ confidence python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --filter buy --min-confidence 70 --rank confidence # Save results to JSON python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --output signals.json -
Use predefined watchlists:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --list-watchlists python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_defiAvailable:
crypto_top10,crypto_defi,crypto_layer2,stocks_tech,etfs_major
Output
The scanner produces a summary table with symbol, signal type, confidence %, price, and stop loss for each asset scanned. Detailed mode adds per-indicator breakdowns with risk management levels (stop loss, take profit, risk/reward ratio).
Signal types: STRONG_BUY (+2), BUY (+1), NEUTRAL (0), SELL (-1), STRONG_SELL (-2)
Confidence ranges: 70-100% high conviction | 50-70% moderate | 30-50% weak | 0-30% avoid
See ${CLAUDE_SKILL_DIR}/references/implementation.md for full output format examples and signal type tables.
Error Handling
| Error | Cause | Fix |
|---|---|---|
| No data for symbol | Invalid ticker or delisted | Verify symbol exists on Yahoo Finance |
| Insufficient data | Period too short for indicators | Use --period 6m minimum |
| Rate limit exceeded | Too many rapid API calls | Add delay between scans |
See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
Examples
Morning crypto scan - Check all top-10 crypto assets for entry opportunities:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --period 6m
Deep dive on Bitcoin - Full indicator breakdown with risk management levels:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detail
Find strongest DeFi buy signals - Filter and rank by confidence:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_defi --filter buy --rank confidence
Export results - Save to JSON for automated pipeline or further analysis:
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --output signals.json
Resources
- yfinance for price data
- pandas/numpy for calculations
- Compatible with trading-strategy-backtester plugin
${CLAUDE_SKILL_DIR}/references/implementation.md- Output formats, configuration, backtester integration, file reference