Autonomous agents built to find and exploit mispriced binary contracts on the world's most regulated prediction exchange.
We built Logicull to exploit a simple truth: prediction markets are systematically mispriced, and algorithms find edge better than humans.
An autonomous algorithmic trading system built for Kalshi — the CFTC-regulated prediction exchange. Trading 15-minute binary options across four major crypto assets with an architecture rebuilt three times from the ground up.
Each generation was born from disciplined loss analysis. Every failure became a systematic fix. The result is a machine that classifies windows into mathematically validated tiers and only deploys capital when the edge is real.
The most architecturally advanced generation yet. Built to eliminate the systematic failure modes of its predecessor and push accuracy to a new ceiling.
Each a complete architectural rethink, driven by the losses the previous model could not prevent.
The foundation. BTC-only signal classification with Kelly Criterion sizing, ADX regime detection, and the execution infrastructure all subsequent models build upon.
Complete rewrite. Five-tier classification system scaled to four simultaneous markets with independent async coroutines and fair value models.
Independent alt signals with anti-correlation detection and a direction-conflict guard. Per-asset volatility regimes computed from native price history.
Deep dives into algorithmic trading, prediction market mechanics, and the engineering decisions behind our autonomous agents. Research notes, model updates, and market analysis.
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