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crypto-signal-generator

Generate trading signals from technical indicators and market analysis

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AuthorJeremy Longshore
Namespace@jeremylongshore/claude-code-plugins-plus
Category#general
Version1.0.0
Stars★ 1,193
Downloads↓ 6
Verification[ ✓ ] self.md verified

Generate trading signals from technical indicators and market analysis

Installation

npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/crypto-signal-generator

Contents

Folders: commands, skills

Files: LICENSE, README.md

Documentation

Generate trading signals from technical indicators, chart patterns, and multi-timeframe analysis for cryptocurrency markets.

Installation

/plugin install crypto-signal-generator@claude-code-plugins-plus

Usage

Generate Signal Command

/generate-signal

Or use the shortcut:

/signal

Example Queries

# Basic signal generation
/signal Generate signal for BTC/USDT

# Specific timeframe
/signal Give me scalping signals for SOL 15-minute chart

# Directional bias
/signal Should I long or short ETH right now?

# Swing trading
/signal What's the swing trade setup for LINK?

# Entry/exit analysis
/signal Analyze XRP and give me entry and exit points

# Multiple assets
/signal Compare signals: BTC vs ETH vs SOL

Features

  • Technical Indicator Analysis - RSI, MACD, Bollinger Bands, Moving Averages, ATR, Volume
  • Chart Pattern Recognition - Head & Shoulders, Triangles, Flags, Candlestick patterns
  • Multi-Timeframe Analysis - 15m, 1H, 4H, Daily, Weekly confluence
  • Support/Resistance Levels - Key levels and Fibonacci retracements
  • Signal Strength Rating - Strong/Medium/Weak with confidence percentage
  • Entry/Exit Strategy - Specific price levels for entries, stop-loss, take-profits
  • Risk Management - Position sizing, risk/reward ratios, exposure calculations
  • Market Context - Sentiment, correlation analysis, recent catalysts

What It Analyzes

  1. Trend Indicators - SMA, EMA, MACD, ADX
  2. Momentum Indicators - RSI, Stochastic, CCI
  3. Volatility Indicators - Bollinger Bands, ATR
  4. Volume Analysis - OBV, volume profile, VWAP
  5. Chart Patterns - Reversal and continuation patterns
  6. Support/Resistance - Key levels, Fibonacci levels
  7. Multi-Timeframe - Confluence across 5 timeframes
  8. Risk/Reward - Position sizing and stop placement

Output Includes

Signal Summary

  • Direction (Long/Short/Neutral)
  • Strength (Strong/Medium/Weak)
  • Timeframe (Scalp/Day/Swing/Position)
  • Confidence percentage

Technical Analysis

  • Comprehensive indicator table
  • Trend, momentum, volatility assessment
  • Chart patterns identified
  • Volume confirmation

Trading Plan

  • Aggressive and conservative entry prices
  • Multiple take-profit targets
  • Stop-loss placement
  • Risk/reward ratio
  • Position sizing calculation

Risk Management

  • Multi-timeframe confluence score
  • Risk factors to consider
  • Signal confirmation checklist
  • Alternative scenarios

Signal Strength Criteria

Strong Signal (80-95% confidence)

  • 3+ indicators align
  • Volume confirms
  • Multiple timeframes agree
  • Clear chart pattern
  • Near support/resistance

Medium Signal (60-80% confidence)

  • 2 indicators align
  • Mixed timeframe signals
  • Moderate volume
  • Some confirmation

Weak Signal (40-60% confidence)

  • Single indicator
  • Conflicting timeframes
  • Low volume
  • Choppy price action

Trading Timeframes

Scalping (15m - 1H)

  • Quick in and out trades
  • High frequency, small gains
  • Tight stop losses
  • High attention required

Day Trading (1H - 4H)

  • Intraday positions
  • Close before end of day
  • Medium stops
  • Active monitoring

Swing Trading (4H - Daily)

  • Multi-day positions
  • Capture larger moves
  • Wider stops
  • Periodic checking

Position Trading (Daily - Weekly)

  • Long-term holds
  • Major trend following
  • Wide stops
  • Patient approach

Key Indicators Explained

RSI (Relative Strength Index)

Measures momentum. >70 overbought, <30 oversold.

MACD (Moving Average Convergence Divergence)

Trend and momentum indicator. Crossovers signal entries.

Bollinger Bands

Volatility bands. Price at extremes suggests reversal.

Moving Averages

Trend direction. Golden/Death crosses signal major moves.

ATR (Average True Range)

Volatility measure. Used for stop-loss placement.

Risk Management Rules

Position Sizing

Risk only 1-2% of account per trade.

Stop-Loss Placement

  • Support/resistance levels
  • ATR-based (1.5x - 2x ATR)
  • Percentage-based (2-5%)

Take-Profit Targets

  • Scale out at multiple levels
  • Trail stop after TP1
  • Lock in profits systematically

Risk/Reward Ratio

Minimum 1:2 (risk $1 to make $2) Ideal 1:3 or better

Important Notes

  • Technical analysis is probabilistic, not predictive
  • No indicator is 100% accurate
  • News and events override technical signals
  • Crypto markets are highly volatile
  • Always use stop losses
  • Only trade with risk capital
  • This generates educational analysis, not financial advice
  • Do Your Own Research (DYOR)

Data Sources

Analysis references:

  • Technical indicator calculations (standard formulas)
  • Chart pattern recognition principles
  • Support/resistance identification
  • Volume analysis methodologies
  • Risk management best practices

Requirements

  • Asset pair (e.g., BTC/USDT)
  • (Optional) Preferred timeframe
  • (Optional) Directional bias
  • (Optional) Account size for position sizing

Files

  • `commands/gene

Included Skills

This plugin includes 1 skill definition:

generating-trading-signals

|

View skill definition

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/sca

...(truncated)

</details>

## Source

[View on GitHub](https://github.com/jeremylongshore/claude-code-plugins-plus-skills)