Backtests are not live results.
The directory ranks strategies by backtest performance on Kalshi history. Past performance does not predict future results.
Product · Live Performance
Backtests, not screenshots. Live numbers, in your own analytics panel.
Turbine can rank public strategies by backtest performance on Kalshi history. Live PnL for your own bots is visible in the Studio analytics panel, pulled from the runner.
Public directoryBacktest-ranked
Sort byPnL, Sharpe, win, recency
Live PnLIn your panel
The strategies directory sorts by backtest PnL, ROI, Sharpe, or win rate on a 30-day Kalshi history window. Click into any strategy to see the English it was built from, the DSL spec, the generated Python, and the full backtest result.
All numbers come from the same Kalshi-history backtest that runs in the Studio.
PnL, Sharpe, drawdown, win rate, fill quality.
PnL net of fees, in dollars and as percent. Daily Sharpe annualised. Max drawdown. Win rate on closed trades. Maker / taker mix and slippage versus signal price for each fill.
A few rules so you do not over-fit on the front page.
Selection bias is real.
Authors who publish are usually the ones whose backtests are working. The wider population has a wider distribution than the directory front page.
Capital scale matters.
A bot up 30% on a small float might not survive at scale. Each strategy page shows the backtest range and assumptions.
Past is past.
Same warning that should be on every backtest you have ever read. Backtested edge does not guarantee live edge.
Starter
$19/ month
Browsing is free. Start at $19/month with 10 deploys per week when you are ready to deploy and run.
- Starter · BasicBrowse the directory free. Copy and deploy on the Basic plan.
- $19 · $99/mo10 · 100 deploys/week
- Pro400 deploys per week with concierge support.
- $199/mo
Are the strategies in the turbinefi directory backtested or live?
The numbers in the public directory are backtests on Kalshi history, not aggregated live PnL. When a strategy author publishes a snapshot, the backtest result of that snapshot is what shows up in the directory. Live results are visible to the author of each bot in their own analytics panel.
How is backtest PnL calculated on turbinefi?
Backtest PnL is the sum of net profit and loss across all simulated trades, computed from one-minute Kalshi candles with Kalshi's fee schedule applied to each fill. Reported PnL is net of fees, not gross.
Can I see my own bot's live PnL?
Yes. The Studio analytics panel shows live positions and fills for your own bot, pulled from the runner. Other users do not see your live numbers.
Does turbinefi cherry-pick which strategies to feature?
The directory sorts by the metric you pick: PnL, ROI, Sharpe, win rate, or recency. There is no editorial reordering. Strategies with no trades or zero stats are filtered out so the front page is not full of empty backtests.
Can I see how a strategy was built?
Yes, if the author shared it. Click into any directory entry and you will see the English the strategy was built from, the typed DSL spec, the generated Python, and the backtest result.