Quanta Algorithm Performance

Bitcoin exhibits a leptokurtic return distribution, meaning price behaviour shows fat tails, volatility clustering, rapid movement through equilibrium zones and extended time spent at valuation extremes. Markets accelerate through areas of price agreement and slow where participants disagree on value, so mean reversion probability increases non-linearly as deviation grows. Capital is therefore deployed using a golden-ratio progression, creating convex exposure that increases in high-probability reversion zones while limiting risk during high-velocity price discovery phases. This aligns capital with probability density rather than prediction and avoids the structural instability of martingale-style scaling.

This structure produces minimal allocation in fast-moving regions, progressive sizing as statistical reversion odds improve and maximum deployment in high-liquidity accumulation zones where markets historically stabilise, resulting in systematic, probability-weighted capital deployment with controlled convex risk exposure.