AI-Driven Autonomous Algorithmic Trading

We build, train, and fine-tune our own Transformer-based RL models.

SEE OUR MVP

Built Different: Our Technology

Why our tech stands out in the world of AI-driven trading.

01

Precise

We leverage Transformer-based RL models, incorporating sequence modeling logic behind ChatGPT and DeepSeek.

02

Stable

Our design reduces training volatility and improves robustness, ensuring consistency and reliability across reinforcement learning workflows.

03

Affordable

We train efficiently on affordable GPU hardware and apply advanced positional encoding strategies to boost prediction accuracy.

Our MVP at a Glance

We’ve built and deployed an end-to-end AI-driven trading pipeline - from training to live deployment.

Training Diagram

Diagram of our model training pipeline managed via Apache Airflow.
Emphasizes reproducibility, scalability, and modularity.

Training Diagram
Live Trading in Action

Real-time decision-making from our deployed RL agent.
Built to adapt continuously and trade efficiently without human intervention.

Auto-Trader: 8 Active Trading Jobs

Our auto-trader infrastructure handles multiple job configurations across asset classes (e.g., stocks, crypto, ETFs).
Jobs are independently evaluated and optimized for production-readiness.

Online Trading Diagram
Best Performing Model

Latest benchmark performance.
View Full Model Result →

Best Performing Model

Meet the Team

Team Member 1

Leo Tang

Dr. Leo Tang is the Founder and CEO, with 19 years of experience in artificial intelligence and machine learning. He has held leadership roles at top companies, like Google, Facebook, LinkedIn, and Microsoft, where he spearheaded AI innovations in multimodal modeling, search, recsys and FinTech.

Team Member 2

Shengbei Guo

Mr. Shengbei Guo is the President and CIO, Shengbei has over two decades of global trading experience. He started at Morgan Stanley and later became Managing Director at Deutsche Bank, leading proprietary trading. He founded GSB Podium Advisors and held senior leadership roles at top securities institutions.

Team Member 3

Daisy Dai

As the Product Manager, Daisy is an undergraduate at the Wharton School of Business pursuing a B.S. in Economics and a Computer Science minor. She previously founded and led a tech startup, giving her firsthand experience. She has a strong background in finance and technology, with past experience in private equity and investment.

Team Member 5

Bill Li

As a Full-Stack Software Engineer, Bill has a Masters in Business Intelligence and Data Analytics from Carnegie Mellon University and a Bachelor’s Degree in Computer Science and Economics. He started as an intern for Ancient Tech from June 2024, with expertise in AI-driven trading systems, backend optimization, and scalable architecture.

Market Opportunity

$5.75B

AI in Asset Management Market

Growing at 23.8% CAGR to $38.94B by 2030

$12.1B

AI in FinTech Market

Growing at 16.5% CAGR to $41.16B by 2030

56%+

Middle-Income Families Own Stocks

They engage with stocks but lack the time

70%+

U.S. Stock Trades

Now automated, creating demand for our solutions