Backtest crypto and traditional trading strategies against historical market data.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add gracefullight/stock-checker --skill backtesting-trading-strategiesCompatible with
Supported agents
Includes 8 pre-built strategies (SMA, EMA, RSI, MACD, Bollinger Bands, Breakout, Mean Reversion, Momentum) with customizable parameters
Calculates comprehensive performance metrics: Sharpe, Sortino, Calmar ratios, max drawdown, VaR, volatility, win rate, and profit factor
Supports parameter grid search optimization to find best-performing configurations across strategy parameters
Generates trade-by-
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbacktesting-trading-strategiesExecute the skills CLI command in your project's root directory to begin installation:
epx add gracefullight/stock-checker --skill backtesting-trading-strategiesFetches backtesting-trading-strategies from gracefullight/stock-checker and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/backtesting-trading-strategies
Restart Cursor to activate backtesting-trading-strategies. Access via /backtesting-trading-strategiesin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
backtesting-trading-strategies
jeremylongshore/claude-code-plugins-plus-skills · Testing · 3 shared tags
stock-analysis
gracefullight/stock-checker · Productivity · same repo
testing-strategies
supercent-io/skills-template · Testing · tag: strategies
trading-signals
scientiacapital/skills · Productivity · tag: trading
vitest
pproenca/dot-skills · Testing · same category
playwright-best-practices
0xbigboss/claude-code · Testing · same category
Solid pick for teams standardizing on skills: backtesting-trading-strategies is focused, and the summary matches what you get after install.
Useful defaults in backtesting-trading-strategies — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for backtesting-trading-strategies matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend backtesting-trading-strategies for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: backtesting-trading-strategies is the kind of skill you can hand to a new teammate without a long onboarding doc.
backtesting-trading-strategies reduced setup friction for our internal harness; good balance of opinion and flexibility.
backtesting-trading-strategies has been reliable in day-to-day use. Documentation quality is above average for community skills.
backtesting-trading-strategies fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
backtesting-trading-strategies reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: backtesting-trading-strategies is the kind of skill you can hand to a new teammate without a long onboarding doc.
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