From manual coding to AI-powered automated process. Transform your investment ideas into professional trading strategies & backtest report instantly.
Why turning trading ideas into reality feels impossible
You have endless strategy ideas from various sources, but without programming skills or environment setup knowledge, you can't validate their actual win rates.
Traditional quant development requires connecting data sources, configuring environments, integrating APIs, and backtesting. Regular users are immediately deterred.
Generic AI only produces fragmented code. No data source to connect, no testing environment to verify, and definitely no live trading capability.
A complete solution from idea capture to live trading, powered by AI agents
Support capturing strategies via chats, prompts, text files, web pages, and YouTube links. Directly transform them into executable, verifiable trading strategies.
Built-in lightweight web IDE supports code fine-tuning and real-time debugging. Achieve "autopilot" strategy development with human intervention when needed.
Access multidimensional trading data for backtesting. Generate professional visual reports including key metrics like Sharpe Ratio, Maximum Drawdown, and more.
Encapsulated with production-ready secured trading SDK. One click to connect your validated strategies directly to live trading on your desired markets.
Multi-Agent System
Specialized AI agents transform your idea into production-ready code
Captures trading ideas from chat, text, or video links and extracts key strategy logics & parameters
Translates logic into production-grade Python code
Runs simulations on selected data source and generates performance reports
One-click deployment to production with risk controls and live monitoring
Stay in control with the built-in web IDE. Fine-tune generated code, debug in real-time, and intervene at any step when you need to.
Built for users who demand both efficiency and professionalism
Passionate about investing, but lacking coding skills
Has mature systems, limited by efficiency
What they share: Individuals with strong willingness to pay for premium tools that save time and deliver results
Chat-based / Text-based strategy generation + Real historical data backtesting
Multi-modal capture (video/web posts) + One-click live trading
Unstructured data source (macro data / sentiment analysis) integration + Advanced model optimization + Strategy community + Copy trading
World-class expertise in quantitative trading, product development, and AI research
Graduated from UC Berkeley, MIT, and CMU, bringing rigorous academic foundations to real-world trading challenges.
10+ years of hands-on experience in traditional finance and crypto markets.
Proven track record at hedge funds, global investment banks, and top crypto exchanges.
IEEE Senior Member with 50+ papers at ACL, EMNLP, etc., and thousands of citations.