QuantRocket vs VectorBT (2026)
QuantRocket (docker-based python platform for research, backtesting, and live trading via ibkr/alpaca) and VectorBT (high-speed vectorized python backtesting library with a free core and paid pro tier) solve backtesting differently. The table below compares them on verified specs and pricing; full details are in each review.
Side by side
| QuantRocket | VectorBT | |
|---|---|---|
| Overall score | 7.2 / 10 | 6.6 / 10 |
| Engine type | hybrid | vectorized |
| Pricing model | subscription | freemium |
| Free tier | Yes | Yes |
| Entry price | $0 | $0 |
| Languages | Python | Python |
| Asset classes | stocks, etfs, futures, forex, options (data/execution, limited backtesting) | stocks, ETFs, crypto, forex, futures, any OHLCV/tick time series |
| Bundled data | Paid license bundles: US Stock Prices (EOD + 1-minute, 2007-present, survivorship-bias-free), IBKR shortable shares, borrow fees and special margin requirements (2018-present, global), Alpaca easy-to-borrow (2019-present). Premium add-ons sold separately: Sharadar point-in-time US fundamentals/prices, EDI global stock prices, Brain sentiment. Free tier: ~30 sample symbols plus US stocks 2007-2011. | None bundled. You bring your own data: the open-source version ships a yfinance wrapper, while PRO adds unified connectors for CCXT exchanges (Binance, Bybit, KuCoin, Bitfinex), Alpaca, Interactive Brokers, Polygon.io, TradingView, Databento, Alpha Vantage, Nasdaq Data Link, plus local CSV/HDF5/Parquet/Feather and ArcticDB/DuckDB/PostgreSQL storage. |
| Finest resolution | 1-minute historical (bundled US stock data); real-time tick/streaming collection via TimescaleDB and WebSockets | tick |
| Live trading | Yes | No |
| Options support | Yes | No |
| Open source | No | Yes |
QuantRocket
Docker-based Python platform for research, backtesting, and live trading via IBKR/Alpaca
VectorBT
High-speed vectorized Python backtesting library with a free core and paid PRO tier
Frequently asked questions
Is QuantRocket better than VectorBT?
They target different users. QuantRocket: python-fluent quants trading us equities and futures through interactive brokers who want a self-hosted, data-rigorous research and live-trading stack they fully control VectorBT: python-fluent retail quants who want to screen thousands of strategy variants fast, and who will trade a hard learning curve and diy execution for near-c research speed. Our scores: QuantRocket 7.2/10, VectorBT 6.6/10.
Which is cheaper, QuantRocket or VectorBT?
QuantRocket entry pricing: $0 (subscription). VectorBT: $0 (freemium). See each review for full verified pricing tables.
Educational content only, not investment advice. Specs and prices come from each platform's official pages; see the individual reviews for sources and last-verified dates.