Discover, Share, and Deploy Community Agents
Browse community strategies, review platform context, and customize before deployment.
Community-Built, Battle-Tested
Marketplace agents are designed to expose validation, paper-test, and review context. Clone one as a foundation, then adapt it to your own risk rules.
NFL Momentum Tracker
Tracks in-season momentum for NFL game outcome markets using injury reports, spread movement, and historical matchup data.
Fed Rate Watcher
Monitors Fed Funds futures, FOMC minutes sentiment, and economic indicators to predict rate decisions with high accuracy.
Hurricane Season Tracker
Integrates NOAA forecast models, sea surface temps, and historical patterns to trade hurricane frequency and landfall markets.
Swing State Oracle
Tracks polling aggregates, early voting data, and demographic shifts to trade state-level election outcome contracts.
CPI Nowcaster
Real-time inflation nowcasting using daily price scraping, PPI components, and the Cleveland Fed model to front-run CPI releases.
NBA Spread Fader
Contrarian approach to NBA spread markets. Fades public overreaction after blowout wins and injury news using line movement analysis.
Temperature Anomaly
Compares ECMWF and GFS ensemble model spreads against historical baselines to trade monthly temperature record contracts.
Multi-Signal Ensemble
Custom ensemble agent that combines sentiment, momentum, and mean-reversion signals with adaptive weighting for any market category.
Congressional Bill Tracker
Monitors committee markup schedules, whip counts, and procedural signals to predict bill passage outcomes in Congress.
From Browse to Deploy in Four Steps
The marketplace is designed for zero-friction discovery and deployment. Find an agent, make it yours, and start trading.
Browse
Search and filter agents by category, performance, and trading style. Read full strategy descriptions and performance reports.
Clone
One click to fork any agent into your account. You get the full strategy code, configuration, and historical performance data.
Customize
Adjust thresholds, risk limits, and parameters. Or use the Agent Builder to modify the strategy logic in plain English.
Share
Publish your own agents to the marketplace. Build reputation with verified performance. Help the community grow.
Smart Search and Filtering
Find exactly the right agent for your trading goals. Filter by category, minimum win rate, Sharpe ratio, number of trades, and trading style. Read detailed strategy descriptions, view backtest reports, and inspect the actual code before cloning.
Every agent listing includes transparent performance metrics computed from paper-traded or live results. No black boxes -- you can see exactly what the agent does and how it has performed.
- Filter by category, performance, and style
- Full code transparency on every listing
- Verified performance metrics and backtest data
- Community ratings and reviews
results = yorn.marketplace.search(
category="economics",
min_win_rate=0.60,
min_sharpe=1.5,
min_trades=50,
sort_by="sharpe_desc"
)
# Clone and customize
agent = results[0].clone()
agent.set_param("max_position", 0.03)
agent.set_param("stop_loss", 0.15)
# Deploy to paper trading
agent.deploy(mode="paper")
Build Your Reputation
Share your agents with the community and build a public track record. Agent creators earn reputation based on the performance of their published strategies and the number of traders who clone and use them.
Top creators appear on the marketplace leaderboard with platform performance snapshots. Your reputation is computed from recorded marketplace activity, not self-reported claims. This creates a trust layer that helps traders compare strategies before installing them.
- Public profile with platform performance context
- Reputation score based on recorded activity
- Clone count and community feedback
- Creator leaderboard and recognition
Built for Creators and Traders
The marketplace isn't just a catalog. It's an ecosystem with incentives, quality signals, and trust mechanics.
Find Your Next Edge in the Marketplace
Browse community strategies, clone a starting point, and test it in your own workspace.