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". '

First seen Mar 16, 2026

Installation

$ npx skills add https://smithery.ai

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared

Cursor Not declared

Codex Not declared

GitHub Copilot Not declared

Windsurf Not declared

Gemini CLI Not declared

Cline Not declared

OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.30.0

LicenseMIT

CompatibilityDesigned for Claude Code

Allowed toolsRead, Write, Edit, Grep, Glob, Bash(python:*)

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

skill md SKILL.md 4,232 B

docs SUMMARY.md 457 B

History

Mar 16, 2026 First seen on skills.sh

Sep 9, 2026 First recorded snapshot · 11 installs

SKILL.md

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:

``bash python ${CLAUDESKILLDIR}/scripts/scanner.py --watchlist crypto_top10 --period 6m ``

Output shows signal type (STRONGBUY/BUY/NEUTRAL/SELL/STRONGSELL) and confidence per asset.

Detailed signal analysis for a specific symbol:

``bash python ${CLAUDESKILLDIR}/scripts/scanner.py --symbols BTC-USD --detail ``

Shows each indicator's individual signal, value, and reasoning.

Filter and rank the best opportunities:

```bash # Only buy signals with 70%+ confidence python ${CLAUDESKILLDIR}/scripts/scanner.py --filter buy --min-confidence 70 --rank confidence

# Save results to JSON python ${CLAUDESKILLDIR}/scripts/scanner.py --output signals.json ```

Use predefined watchlists:

``bash python ${CLAUDESKILLDIR}/scripts/scanner.py --list-watchlists python ${CLAUDESKILLDIR}/scripts/scanner.py --watchlist crypto_defi ``

Available: cryptotop10, cryptodefi, cryptolayer2, stockstech, 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: STRONGBUY (+2), BUY (+1), NEUTRAL (0), SELL (-1), STRONGSELL (-2)

Confidence ranges: 70-100% high conviction | 50-70% moderate | 30-50% weak | 0-30% avoid

See ${CLAUDESKILLDIR}/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 ${CLAUDESKILLDIR}/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
${CLAUDESKILLDIR}/references/implementation.md - Output formats, configuration, backtester integration, file reference