Turbine — AI Trading Bot Platform
StudioStrategiesResearchCommunityPricingAffiliates
Kalshi TradingPolymarketAI Strategy BuilderBacktesting EngineStudio DocsSandbox RuntimeEdge Data FeedsStrategy LibraryBacktested StrategiesLive Performance
BlogXDiscord
StudioStrategiesResearchCommunityPricingAffiliates
SocialsBlogXDiscord
← Strategies
← Strategies

KXBTC Hourly Trend-Filtered Mean Reversion with VWAP & Macro Blackout

Starter is $19/month with 10 deploys per week. Upgrade as you grow.

Trades Kalshi’s Bitcoin hourly market every 30s. Enters one YES when bullish EMA/SMA trend aligns with a 5-min price pullback above VWAP, price 30–70¢, spread ≤2¢; enters NO on opposite. Exits on trend flip, $3 gain, -$10 loss, or <5 min to expiry; pauses within 15 min of FOMC/CPI.

Kalshi·Jul 26 to Jul 30·Created 10d ago
Share to XShare to Reddit
Turbine Studio

Your next trade is a sentence away.

Describe an idea, review the backtest, and start from the same workspace.

Build a bot
Net P&L
-$1
Return -139.0% on risk capital
Sharpe
-1.05
Return Sharpe
Win rate
25.0%
24 trades
Max drawdown
-$2
Peak to trough

A few notes on these numbers

Methodology
Backtests replay supported historical market data, usually a 30-day Studio window, and evaluate strategy rules on the available cadence. Signals can fill no earlier than the next tradable step. Taker fills use top-of-book prices or available L2 depth, with Kalshi-style fees where modeled. Queue position, latency, and future liquidity are not fully modeled. Simulated P&L is net of modeled fees over the window.
Starting capital
Kalshi backtests use the strategy's configured max position as the risk-capital denominator. Return is computed from that configured capital, while total P&L is still shown in dollars.
Past performance
Backtested results are hypothetical. They are derived from historical data and do not reflect live execution risks like slippage beyond the orderbook, partial fills, API latency, or venue outages. Past performance does not guarantee future results.
Not financial advice
Nothing on this page is investment, legal, or tax advice. Prediction markets carry real risk of loss. Only trade with money you can afford to lose, and do your own research before deploying any strategy live.