TurbineMangrove

POWERED BY TURBINEFI

All Strategies Research Latest

Kalshi Trading Polymarket AI Strategy Builder Backtesting Engine Sandbox Runtime Edge Data Feeds Strategy Library Backtested Strategies Live Performance

Affiliates Merch Docs MCP

← Strategies

Price Threshold Re-verify, -$49 Backtested, Turbine

Price Threshold Re-verify

Starter is $9/month with 10 deploys per week. Upgrade as you grow.

It trades the Kalshi KXBTC15M market and checks every 10 seconds. It buys one yes contract when the price is at or below 0.5, up to a maximum of 20 contracts, and sells the entire position when the price reaches 0.7 or when one minute remains before expiry.

Kalshi·Jul 26 to Aug 15 UTC·Created 1mo ago

Share to X Share to Reddit

Turbine Studio

Your next trade is a sentence away.

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

Net P&L

-$49

Return -244.6% on risk capital

Sharpe

-0.83

Return Sharpe

Win rate

60.1%

3538 trades

Max drawdown

-$159

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.