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 against Coinbase ZEC-USD data refreshed every 5 seconds. Rules are checked top to bottom and the first match ends that tick. Rule 1 sells the YES position when YES size exceeds 0 and spot sits below the strike; Rule 2 sells the NO position when NO size exceeds 0 and spot sits above the strike. Rule 3 buys 50 YES contracts only with no position and no open orders, when ZEC price is above 0, expiry is within 5 minutes, spot is at least 9 above the strike, ZEC price exceeds its 1-hour VWAP, 5-minute change is positive, 1-minute velocity is at least 0, YES ask is between 0.45 and 0.99, and spread is at most 0.02. Rule 4 mirrors this for 50 NO contracts with spot at least 9 below the strike, price below VWAP, negative change and velocity, and NO ask between 0.45 and 0.99. Entry orders are immediate-or-cancel, capped at one entry per market, with a 50-contract position limit and YES price bounds of 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

+$102

Return +203.7% on Risk Capital

Sharpe

0.56

Return Sharpe

Win rate

100.0%

48 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.