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BTC Ladder Bands

Starter is $49/month with 30 deploys per week. Upgrade as you grow.

On Kalshi's KXBTC15M market the strategy evaluates every 10 seconds, holding at most 50 contracts. Rules are checked top to bottom and the first match fires. Rules 1 and 2 sell an existing YES or NO position when its best bid is at or below 0.35. Rules 3 and 4 sell YES when spot is below the strike, and NO when spot is above it. Rules 5 and 6 sell with a bid at or above 0.995 only when expiry is between 2 and 15 minutes away. Entries require no resting orders and a position under 50. Rules 7 through 18 buy 50 contracts of YES or NO when Bitcoin's price is above zero, expiry is within the given window (8m, 5m, 4m, 2m, 1m, or 30s), spot-versus-strike clears a matching distance threshold (100, 85, 70, 46.7, 35, or 23.3), the EMA sits on the same side, 5-minute change and 1-minute velocity agree in direction, the ask is between 0.90 and 0.99, and the spread is at most 0.03. Rules 19 and 20 buy YES or NO with 25 seconds or less left, no directional conditions, the same ask band, and spread cap.

Kalshi·Sep 16 to Oct 15 UTC·Created 11d ago
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Turbine Studio

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

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Net P&L
+$195
Return +390.2% on Risk Capital
Sharpe
0.50
Return Sharpe
Win rate
93.9%
541 trades
Max drawdown
-$122
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.