Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application.

The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative.

What's inside: Portfolio optimization (including Dalio's risk parity approach), Monte Carlo simulations for backtesting Sharpe ratio, Black-Scholes, and risk analysis Real-time data from 10,000+ sources via connectors. Direct execution to platforms like Robinhood AI assistants that can explain concepts and analyze your positions

The AI layer is particularly useful for learning - it can walk you through why certain strategies work, explain the math behind models, or help debug your analysis. We're offering a free tier to start, and we'd genuinely love feedback from folks here who've built their own trading systems or struggled with existing tools.

Happy to answer questions about the architecture, data pipelines, or design decisions.