Danelfin vs QuantRocket comparison

Danelfin focuses on Stock Ideas, Screeners, and Portfolio while QuantRocket specializes in Screeners, Quant, and Backtesting. They overlap in 2 categories, so choose based on your preferred workflow and pricing.

Good news—both Danelfin and QuantRocket offer free plans. You can try each platform without commitment and only pay when you need premium features.

Yes, both platforms offer API access for developers and quants who want to build custom integrations or automate their workflows.

Choose Danelfin if you need AI Score (1–10) estimates the probability of a stock or ETF outperforming the market over the next three months, based on daily analysis of ~10,000 features per stock across technical, fundamental, and sentiment data., and Coverage includes U.S.-listed stocks and ETFs as well as STOXX 600 European stocks, with historical daily AI Scores available since 2017.. Go with QuantRocket if Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., and Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter. better fits how you invest.

Both cover Stocks, and ETFs. QuantRocket adds coverage for Futures, Currencies, and Options.

QuantRocket offers real-time data feeds, which is essential for active traders. Danelfin uses delayed or end-of-day data, which works fine for longer-term investors who don't need up-to-the-second quotes.

Both platforms let you export data to spreadsheets (CSV, and JSON). This is useful for custom analysis or record-keeping.

QuantRocket connects with brokers for portfolio syncing. Danelfin requires manual portfolio entry or data import.

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

Danelfin offers portfolio tracking features. QuantRocket is more focused on research and analysis.