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generating-trading-signals 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".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill generating-trading-signals ai automation claude-code devops mcp ai-agents
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 6m
Output 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 --detail
Shows each indicator's individual signal, value, and reasoning.
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_defi
Available: 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 datapandas/numpy for calculationsCompatible with trading-strategy-backtester plugin
${CLAUDE_SKILL_DIR}/references/implementation.md - Output formats, configuration, backtester integration, file reference Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
