Framework for developing, backtesting, and deploying prediction market trading strategies.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add agentmc15/polymarket-trader --skill trading-strategiesCompatible with
Supported agents
Four built-in strategy templates: arbitrage (pricing inefficiencies), copy trading (mirror successful traders), momentum (price and volume signals), and mean reversion (trade price extremes)
Backtesting engine with historical data simulation, performance metrics (Sharpe ratio, max drawdown, win rate), and equity curve tracking
Risk management module enforcing position limits, drawdown caps, dai
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontrading-strategiesExecute the skills CLI command in your project's root directory to begin installation:
epx add agentmc15/polymarket-trader --skill trading-strategiesFetches trading-strategies from agentmc15/polymarket-trader 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/trading-strategies
Restart Cursor to activate trading-strategies. Access via /trading-strategiesin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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Solid pick for teams standardizing on skills: trading-strategies is focused, and the summary matches what you get after install.
I recommend trading-strategies for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
trading-strategies has been reliable in day-to-day use. Documentation quality is above average for community skills.
trading-strategies fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
trading-strategies is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: trading-strategies is focused, and the summary matches what you get after install.
trading-strategies reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for trading-strategies matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: trading-strategies is the kind of skill you can hand to a new teammate without a long onboarding doc.
trading-strategies has been reliable in day-to-day use. Documentation quality is above average for community skills.
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