We built VyomQuant because algorithmic trading is still unnecessarily fragmented. Traders often have to combine strategy code, backtesting tools, exchange APIs, data pipelines, and execution systems themselves. We wanted to bring those pieces together into one platform where you can design a strategy visually, test it against historical data, paper trade it, integrate ML models, and move toward automated execution. We started with crypto because it gives traders access to 24/7 markets and exchange APIs, but the long-term vision is broader: building infrastructure for systematic trading across multiple asset classes. We’re launching VyomQuant to get the platform into the hands of traders, developers, and quantitative researchers and learn from how they build and deploy strategies.

VyomQuant

Build, backtest, and automate

Build, backtest, and automate