claude-trading-skills

🥈Silver

AI skill for equity investors and traders. Automates systematic backtesting, market analysis, technical charting, economic calendar monitoring, and US stock research. Integrates with Claude and Python scripts.

93950Updated 1mo ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/tradermonty/claude-trading-skills.git

Works with:

Claude

Overview

About This Skill

Claude Trading Skills is an AI-powered automation tool designed for equity investors and traders who need to systematize their research and analysis workflows. The skill automates key trading activities including systematic backtesting of trading strategies, technical charting, economic calendar monitoring, and fundamental US stock research. It integrates with Claude Code and Python scripts to enable traders to execute complex analytical tasks programmatically. By combining Claude's reasoning capabilities with Python-based market analysis, the skill helps traders validate hypotheses, monitor economic indicators, and conduct technical analysis without manual repetition. This is particularly valuable for investors building trading systems that require consistent, data-driven decision-making.

Use Cases

Running systematic backtests on trading strategies across historical market data

Analyzing technical charts and identifying chart patterns for trade entry/exit signals

Monitoring economic calendar events and their potential market impact

Conducting fundamental research on US equities and company financial metrics

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/tradermonty/claude-trading-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze [STOCK] using [TECHNICAL_INDICATORS] and [TIMEFRAME]. Provide a detailed backtest of [STRATEGY] over the past [PERIOD]. Include key metrics like Sharpe ratio, maximum drawdown, and win rate. Also, generate a technical chart with annotations for key support/resistance levels and trend lines.

Example Output

# Stock Analysis: Tesla (TSLA)

## Technical Analysis
- **Timeframe**: 1 Year
- **Indicators**: 50-day and 200-day moving averages, RSI (14), MACD

**Key Observations**:
- TSLA is currently trading above the 50-day MA but below the 200-day MA, indicating a potential bullish reversal.
- RSI is at 45, suggesting the stock is neither overbought nor oversold.
- MACD histogram shows a bullish crossover.

## Backtest Results
- **Strategy**: Moving Average Crossover (50/200)
- **Period**: 2020 - 2023
- **Sharpe Ratio**: 1.2
- **Maximum Drawdown**: -18%
- **Win Rate**: 58%

## Technical Chart
![Technical Chart](https://example.com/chart.png)

**Annotations**:
- Support: $150
- Resistance: $250
- Uptrend line from March 2023 lows