Arakawa Quant

About

Our proprietary engine utilizes multi-factor models and high-frequency time-series analytics. It employs algorithms for continuous micro-liquidity and Order Flow Imbalance monitoring. Within extremely short discrete windows, the system identifies price reversion probability. This process is supported by dynamic risk management and Markov decision chains, which automatically eliminate sub-optimal signals. The result is a consistently high win rate and strong conviction, demonstrated across extensive backtests and live trading.