Describe your strategy in plain English. FactorBench turns it into screens, backtests, charts, and seasonality studies, then opens the builder for fine-tuning.
Instant access. No credit card required.
For independent quants, PMs, and serious retail investors who want AI speed without black-box answers
Three simple steps from a chat prompt to an actionable watchlist
Describe the strategy in plain English or jump into the builder to craft formulas and filters
Launch point-in-time screens, backtests, charts, and seasonality with configurable settings
Store strategies, backtest configs, watchlists, and share links for fast reuse
Built for serious investors who want AI speed, multi-asset coverage, and transparent analytics
Ask for a screen, backtest, chart, or seasonality study in one prompt. The AI builds the configuration and opens it in the builder.
Compose custom factors and weight formulas with validation, presets, and optimizer runs. Tune backtest configs for rebalance, costs, and benchmarks.
Research stocks, ETFs, crypto, and commodities with point-in-time data, charts, seasonality breakdowns, and shareable results.
Daily seasonality pages generated once per day after market close with Rust runner outputs.
Show the 10-year seasonality of gold. Include both monthly averages and day-of-week averages.Each generated page highlights the strongest and weakest months/weekdays and links back to FactorBench to run the same prompt.
Between 2016-02-12 and 2026-02-12, Sun had the strongest weekday average return for Gold (0.09%), while Mon was the weakest (0.00%). On the annual profile, Jan ranked best (3.67%) and Sep ranked worst (-0.52%).
Open example →Between 2016-02-12 and 2026-02-12, Mon had the strongest weekday average return for Bitcoin (0.41%), while Thu was the weakest (-0.06%). On the annual profile, Oct ranked best (17.77%) and Sep ranked worst (-2.25%).
Open example →Between 2016-02-12 and 2026-02-12, Mon had the strongest weekday average return for Apple Inc. (0.23%), while Thu was the weakest (-0.07%). On the annual profile, Jul ranked best (7.24%) and Sep ranked worst (-1.96%).
Open example →Between 2016-02-12 and 2026-02-12, Wed had the strongest weekday average return for Ethereum (0.61%), while Thu was the weakest (-0.13%). On the annual profile, May ranked best (34.34%) and Jun ranked worst (-7.33%).
Open example →Between 2016-02-12 and 2026-02-12, Wed had the strongest weekday average return for Microsoft Corporation (0.20%), while Thu was the weakest (0.04%). On the annual profile, May ranked best (4.14%) and Sep ranked worst (-2.00%).
Open example →Between 2020-04-10 and 2026-02-12, Sun had the strongest weekday average return for Solana (0.72%), while Thu was the weakest (-0.01%). On the annual profile, Aug ranked best (59.71%) and May ranked worst (-9.78%).
Open example →Trusted by professionals across industries
"FactorBench has transformed how I screen stocks. The point-in-time data ensures no look-ahead bias in my backtests."
Sarah Johnson
Portfolio Manager
"The formula language is powerful yet safe. I can build complex factor combinations and trust the results."
David Chen
Independent Quant
"Finally, a tool that lets me test my investment ideas rigorously without black-box magic."
Maria Rodriguez
Retail Investor
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FactorBench is an AI-first research workbench for investors. Chat your ideas, run screens, backtests, charts, and seasonality studies, and save reusable watchlists and share links.
Yes. The free plan includes screening, charts, seasonality, and backtests up to 3 years with limited storage and AI credits. Paid plans expand history, limits, and optimizer runs, each with a 7-day free trial.
We use point-in-time fundamental and price data with configurable lag to avoid look-ahead bias. All metrics report their source and basis (TTM/MRQ) for transparency. See the FAQ for details.
Yes. All paid plans include a 7-day free trial. You can cancel anytime during or after the trial period with no penalties.
Yes. We use bank-level encryption to protect your data. Your screens, backtests, charts, and watchlists remain private to your account.
Join independent quants, PMs, and serious retail investors who trust FactorBench for rigorous, transparent research.
No credit card required. 7-day free trial. 30-day money-back guarantee.