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, evaluating every 10 seconds with a 50-contract position limit and a 0.05 to 0.95 YES price floor and ceiling. Rules run top to bottom and the first match ends the tick. Rule 1 sells YES when a YES position exists and spot versus strike is negative; Rule 2 sells NO when a NO position exists and spot versus strike is positive. Rule 3 buys 50 YES only when position size and order count are both zero, ZEC price is above zero, expiry is within 5 minutes, spot versus strike is at least 6, ZEC price is above its 1-hour VWAP, the 5-minute change is positive, 1-minute velocity is at least zero, 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 with spot versus strike at most -6, price below VWAP, negative 5-minute change, velocity at most zero, and a NO best ask between 0.45 and 0.99. Entry orders are immediate-or-cancel, capped at one entry per market, and a $250 max loss can halt and liquidate only this strategy's Kalshi inventory.

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

Net P&L

+$255

Return +509.3% on Risk Capital

Sharpe

0.79

Return Sharpe

Win rate

100.0%

131 trades

Max drawdown

-$11

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.