XRP acceleration gates

Starter is $29/month with 30 deploys per week. Upgrade as you grow.

This Kalshi strategy trades the most liquid KXXRP15M market, checking conditions every 10 seconds within a 20-contract position limit and a YES price range of 0.01 to 0.99. Rules run top to bottom, first match wins. Rules 1 and 2 apply per-fill stop gates: if any YES (or NO) position exists and the executable side bid is at or below that fill's actual purchase price minus 0.25, it sells that fill's remaining quantity only, never unrelated fills, and gaps can sell lower. Rule 3 buys 20 YES when the XRP one-minute MACD histogram is at least 0.0004, the five-minute change is at least 0.0005, the YES best bid is at least 0.2, and position size is zero. Rule 4 mirrors this on the NO side with negative thresholds. Rules 5 and 6 are per-fill profit gates selling only the selected fill's remaining quantity when the executable side bid is at least that fill's purchase price plus 0.1 before fees. Rule 7 cancels all orders when 15 seconds or less remain to expiry. Entries are limited to 5 per market and blocked during a daily 22:00-08:30 blackout in New York time.

Kalshi·Sep 29 to Oct 29 UTC·Created 4d ago

Net P&L

+$131

Return +468.9% on Risk Capital

Sharpe

0.27

Return Sharpe

Win rate

72.6%

1010 trades

Max drawdown

-$73

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.