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. Try it at: https://sourcetable.com/quant Happy to answer questions about the architecture, data pipelines, or design decisions.