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open capital trading agent open capital leaderboard open source edge native a swing trading agent you can backtest paper trade and share three daily cycles eod morning intraday with kelly sized entries deterministic or workers ai portfolio manager and fully resumable backtests publish runs to a public leaderboard so others can see how your strategy holds up sign in start browse the leaderboard cycles per trading day 3 eod morning intraday backtest engine workflows resumable durable position sizing ½ kelly static or rolling pm modes ai deterministic workers ai heuristic public leaderboard latest top performers view full leaderboard loading what it does a complete swing trading loop end to end backtest a strategy run it against your alpaca paper account on schedule then publish the results so they re part of the public record resumable backtests per day workflows with object store checkpoints deploy mid run and resume from the last completed day compare up to 3 runs side by side live paper trading alpaca paper account driven by cron eod signals at close morning entries with bracket orders intraday sells with trailing stops kelly position sizing half kelly with static signal or rolling in run live trade history win rate tracks actual vs kelly target on every entry two pm modes workers ai llama 3 1 8b for explainable eod selection or deterministic heuristic mode for fully reproducible runs sharpe sortino drawdown excess vs spy sharpe sortino max drawdown and trade analytics computed at session and backtest level with metric tooltips public leaderboard publish backtest paper or session snapshots to a no auth public leaderboard strip private data keep ownership via one time delete token architecture edge native architecture every component runs on the edge no long running servers no third party schedulers no manual workflow orchestrator edge runtime workers tanstack start single deploy ssr rpc to durable objects state sql object storage sessions cycles trades daily stats backtest datasets backtests workflows durable per day steps with checkpoint resume portfolio manager workers ai llama 3 1 8b or deterministic heuristic for reproducible runs auth google multi user with per user alpaca credentials open source mit self host on your own infrastructure run your first backtest in minutes sign in with google add your alpaca paper key and queue a backtest on a date range publish the result when you re happy with it sign in browse leaderboard built on traders by traders leaderboard app