Manifold founder says quant trading is not just about finding alpha, but choosing the right table
Manifold founder Jae Chung used a long-form retrospective to explain how the firm built its early crypto trading business by avoiding direct competition with established quantitative giants and focusing instead on decentralized markets. He said the team initially had little formal quant experience and failed across a range of early strategies, from arbitrage and basis trades to statistical arbitrage, yield farming and deep learning. The turning point came when Manifold identified DeFi and decentralized exchanges as a market where its mix of crypto-native engineers and traditional quant researchers could build an edge. Chung described how the firm tested a rough TypeScript prototype for CEX-DEX arbitrage across venues including Binance and FTX and found that blockchain latency, passive on-chain liquidity and slower price adjustment created real opportunities even after fees. From there, the company rebuilt its stack in Go and Solidity, expanded across chains and DEXs, optimized gas usage, competed in priority gas auctions, and improved capital efficiency through an internal system called Hydra, later upgraded with Aave-based on-chain spot margin functionality. His core argument is that in trading, execution matters, but market selection matters just as much. He also said CEX-DEX arbitrage was highly profitable for a period, at times generating more than $10,000 a day on a few million dollars of capital and six-figure daily profits during volatile periods, before competition compressed returns over time.








