天马量化

FOUNDATION

Exploration

The founding team started from zero, exploring fully automated trading. The first-generation quant model began trading proprietary capital.

YEAR ONE

Year One

A dedicated quantitative trading model was established, investing through mathematics and artificial intelligence. The team set its ambition: to become a world-class quantitative hedge fund.

FIRST AI MODEL

The first AI model

In April 2016 the first stock position generated by a deep-learning model went live, computed on GPUs. Before this, algorithms relied on linear models and classical machine learning, running on CPUs.

DIRECTION

AI becomes the direction

Complex models hit the limits of single-machine training. Growing demand collided with finite compute; the team began building its own GPU cluster.

FULL AI

Strategies fully AI-based

The AI algorithm and hardware teams expanded continuously. By the end of 2019 almost all quantitative strategies were computed by AI models.

GLOBAL

The year of going global

Trading moved beyond China A-shares. The Tianma T+0 model was founded as an independent effort, with Tan Daoyi as CEO of the research team, and the Hong Kong Hang Seng market as the primary back-testing ground.