Independent quants & systematic traders
Configurable optimization, backtesting, and live deployment without building or maintaining a single line of infrastructure. From notebook to live deployment, without a devops project.
The Future of Intelligent Investing.
Create investment strategies acrossUS Stocksin a single AI native quantitative ecosystem.
Capabilities
Built for serious quant work.
Fintela is the AI-native solution for quantitative statistical validation: agentic AI that runs the platform for you, robust statistical validation at every stage, and Bayesian optimization over thousands of trials, from idea to live capital, all in one workspace.
AI that operates the platform
Fintelligent drafts strategies, launches studies, attaches risk managers, and explains results in plain English, wired directly into your data and the platform's own actions.
Explore Agentic AIEvery dataset behind your strategies
Browse the full data library powering the platform, coverage, freshness, and raw records per ticker, plus a full robustness, clustering, and optimization report for any search.
Explore In-Depth Analysis
Bayesian optimization
Seven samplers, TPE by default, search thousands of trials and validate every result on train, validation, and out-of-sample splits automatically.
Explore the optimization engineBest Sharpe · 500 trials
1.84
From idea to production
One pipeline. Every step connected.
Every idea moves through the same pipeline, from asset groups and strategy code to live execution, each stage feeding the next inside the browser. No file exports, no local scripts, no stitching tools together, and every result reproducible.
Research ideas in parallel
Validate with statistical tests
Deploy to live trading
Monitor risk and market news
Asset Groups
Market universe
Define your investable universe. Reusable snapshots of market data across equities, ETFs, forex and global indices, with every backtest reproducible.
Who it's for
Built for the desk that manages capital.
Managing capital, working solo, or leading a research desk: the same primitives and the same engine, built for every seat on the desk.
Hedge funds & institutional traders
Eliminate fragmentation between research, backtesting, and execution. Run strategy research across concurrent experiments without running your own infrastructure.
See Institutional pricing
Quant research teams
Shared strategy library, shared asset groups, shared optimization results, all inside a single organizational workspace with cryptographic provenance built in.
No infrastructure to run
Fully cloud hosted. Zero servers, zero local installs, nothing for a new quant to set up.
Concurrent studies
Thousands of trials in parallel and no queue for the one optimizer box.
Cryptographic provenance
Every strategy and configuration hashed and time-stamped for audit.
IC-ready reports
PDF results dashboards that show performance and hide code and parameters.
Teams building with Fintela
Insights
Research notes & platform updates.
FAQ
Questions, answered.
The fast read on how Fintela works, what it costs, and where it fits.
Still have questions?
A 30-minute walkthrough on your own strategies, with the team that built the platform.
Talk to usYes. Strategies and configurations are cryptographically hashed and time stamped, supporting authorship verification and auditability. The platform is fully cloud hosted.
You can choose which AI provider powers Fintelligent, from a variety of options such as DeepSeek and Anthropic, with Fintela managed access and no API key to bring. Every tool call is visible in the chat, and every irreversible action (creating/stopping a study, deploying an operation) requires your explicit confirmation before execution.
Validated portfolios can be promoted to live operations that execute through your connected brokerage. You see real time order logs, P&L, and a one click pause. Multiple operations can run in parallel against different baskets.
Yes. Every trial, basket, and sandbox run exposes its seed: the daily rebalancing signal (date → ticker → position/allocation) the engine used to build the backtest. You can inspect it date by date and download it as JSON (the exact engine input) or CSV, straight from the app.
Currencies, U.S. equities, S&P indices, ETFs, forex, and global markets, all through the same unified strategy engine. Build a strategy once, test it across any cluster you define.
Fintela combines backtesting with asset groups, strategy code, Bayesian parameter optimization, train/validation/OOS evaluation, portfolio analytics, and live deployment via your connected brokerage into a single pipeline. No exports, no scripts, no glue code between tools.
Yes, strategies are Python functions, but Fintelligent can generate them for you. Describe what you want in plain English and the agent writes the code, configures the parameters, and stages the form for your review.
Fintela uses Bayesian optimization, which learns from each trial to focus search on the most promising parameter regions. Every study is evaluated across three time windows: train (in sample), validation (held out), and out of sample, so robustness is built into the workflow.
How long it takes depends on your idea and how much you optimize, not on setting up infrastructure. There is no environment to build, no data pipeline to wire up, and no handoff between tools.