TurbineMangrove
POWERED BY TURBINEFI
All StrategiesResearchCommunity
Pricing
Kalshi TradingPolymarketAI Strategy BuilderBacktesting EngineSandbox RuntimeEdge Data FeedsStrategy LibraryBacktested StrategiesLive Performance
BlogXDiscord
AffiliatesMerchDocs
Pricing
← Strategies
← Strategies

BTC Momentum Reversal

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

On Kalshi's KXBTC15M market, this strategy checks every 10 seconds and trades one position at a time, capped at 31 contracts. It exits any existing position if the held side's best bid drops to 0.45 or below, or rises to 0.85 or above. With no position, it buys yes when 90 seconds or less remain, the spread is 0.05 or less, the yes ask is between 0.55 and 0.95, and Bitcoin's 15-minute change is above 0.5 percent, or buys no under the same time and spread conditions with a no ask between 0.55 and 0.95 and a Bitcoin change below -0.5 percent.

Kalshi·Aug 8 to Sep 7·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
$0
Return 0.0% on risk capital
Sharpe
0.00
Return Sharpe
Win rate
0.0%
0 trades
Max drawdown
$0
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.