Invesst vs Reflexivity comparison

Invesst focuses on Screeners, Valuation Models, and Portfolio while Reflexivity specializes in Screeners, Quant, and Performance Attribution. They overlap in 4 categories, so choose based on your preferred workflow and pricing.

Both platforms require a paid subscription to access their full feature set. Compare the pricing details above to find the best value for your needs.

Invesst is more beginner-friendly with an approachable interface. Both can work for intermediate users.

Reflexivity provides API access for programmatic data retrieval and custom integrations. Invesst doesn't currently offer an API, so you'll need to use their web interface.

Choose Invesst if you need AI-driven investment research with natural-language agents and data-rich search capabilities., and Automated valuation models including DCF, along with predictive analytics and customizable screeners.. Go with Reflexivity if Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe-all included without the need for separate data contracts., and Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports. better fits how you invest.

Both cover Stocks, and ETFs. Invesst also includes Cryptos. Reflexivity adds coverage for Bonds, Commodities, and Currencies.

Yes, both platforms provide real-time market data. This makes either suitable for active trading strategies where timing matters.

Reflexivity supports data exports to Excel. Invesst has more limited export options.

Both Invesst and Reflexivity include stock screeners. Try each to see which filtering options and interface you prefer.

Both platforms include portfolio tracking, so you can monitor your holdings, performance, and allocation in one place.