ZEC Strike Gate

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

This Kalshi strategy trades the most liquid KXZEC15M market and re-evaluates every 10 seconds. Rules are checked top to bottom and the first match ends that tick. Rule 1 sells the YES position when YES size is above 0 and spot versus strike is below 0; Rule 2 sells the NO position when NO size is above 0 and spot versus strike is above 0. Rule 3 buys 50 YES contracts only when position size and order count are both 0, the ZEC price is above 0, expiry is within 5 minutes, spot versus strike is at least 8, price is above its 1-hour VWAP, the 5-minute change is above 0, the 1-minute velocity is at least 0, the YES best ask is between 0.45 and 0.99, and the spread is at most 0.02. Rule 4 mirrors this for 50 NO contracts, requiring spot versus strike at most -8, price below VWAP, negative 5-minute change, velocity at most 0, and a NO best ask between 0.45 and 0.99 with spread at most 0.02. Entry orders are immediate-or-cancel, capped at one entry per market, and the position limit is 50 contracts with YES prices bounded from 0.05 to 0.95. A $250 loss limit can halt and liquidate only this strategy's attributed Kalshi inventory.

Kalshi·Sep 23 to Oct 23 UTC·Created 4d ago

Net P&L

+$140

Return +279.9% on Risk Capital

Sharpe

0.74

Return Sharpe

Win rate

100.0%

64 trades

Max drawdown

-$1

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.