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generating-trading-signals

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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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claude-code-plugins-plus

jeremylongshore/claude-code-plugins-plus-skills

Plugin

crypto-signal-generator

crypto

Repository

jeremylongshore/claude-code-plugins-plus-skills
1.1kstars

plugins/crypto/crypto-signal-generator/skills/generating-trading-signals/SKILL.md

Last Verified

January 22, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/crypto/crypto-signal-generator/skills/generating-trading-signals/SKILL.md -a claude-code --skill generating-trading-signals

Installation paths:

Claude
.claude/skills/generating-trading-signals/
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Instructions

# 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:

```bash
pip install yfinance pandas numpy
```

Optional for visualization:
```bash
pip install matplotlib
```

## Instructions

### Step 1: Quick Signal Scan

Scan multiple assets for trading opportunities:

```bash
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:

```bash
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:

```bash
# 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:

```bash
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_ma

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