Independent quants & 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.
Find Your Edge.
Discover your edge acrossUS Stocksin a single AI native quantitative ecosystem.
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.
Hands on: Sector ETFs (US), 11 tickers, snapshotted
Sector ETFs (US)11 tickersSnapshot · daily closes
XLKTechnology
XLVHealth Care
XLFFinancial
XLYCons. Discretionary
XLPCons. Staples
XLEEnergy
XLIIndustrial
XLBMaterials
XLUUtilities
XLREReal Estate
XLCCommunication
Strategies
Trading logic
Write strategies as Python functions in the in app editor, or describe them in English and let Fintelligent generate the code, parameters, and ranges.
Hands on: sector_momentum, with 2 parameters to search
sector_momentumPython · validated
def sector_momentum(data, start_date, end_date, lookback, top_n): window = data.close.iloc[-lookback:] leaders = (window.iloc[-1] / window.iloc[0] - 1).nlargest(top_n) # equal weight across the leaders
lookbackinteger · 21–378top_ninteger · 1–6
Studies
Bayesian search
Launch thousands of trials in parallel. Intelligent optimization focuses search on promising regions; results validated on train, val, and out of sample windows.
Hands on: 1,000 trials, each validated out of sample
Momentum · Sector ETFs (US)Running
Sampler
TPE
Trials
1,000 / 1,000
Best Sharpe
1.84
Train
Validation
Out-of-sample
Portfolios
Analyze results
Browse ranked portfolios, full equity curves, parameter importance, and trade level drill down. Export PDF reports on demand.
Hands on: the leading portfolio and its equity curve
Ranked portfolios
Export PDF
#1lookback 126 · top_n 31.84
#2lookback 147 · top_n 31.77
#3lookback 105 · top_n 41.71
#4lookback 189 · top_n 21.66
Connect Broker
Go live
Link your brokerage account and promote any validated portfolio to live execution, with real time order logs and a one click pause.
Live: orders routed to your brokerage, one click to pause
Brokerage account · Connected
Pause
09:31:02BUYXLK120 @ marketFilled
09:31:02BUYXLE310 @ marketFilled
09:31:03SELLXLU275 @ marketFilled
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.
Data Explorer docsIntelligent 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 engine
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.
Financial advisors & wealth managers
Turn a client mandate into a backtested, optimized strategy without hiring a quant team. Fintelligent drafts the Python, a risk manager matches each client's mandate, and every result comes with a report you can hand across the table.
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.
New · Fintela MCP
Bring your own agent. Keep your edge.
Your team already builds with AI. Connect your agent to Fintela through MCP, the open standard for AI tools, and it reads overfitting verdicts, validates your strategy server and proposes studies, while your strategy stays on your servers and a person approves every token.
Read the verdict
Real or overfit, straight into your agent.
Validate for free
Your agent iterates until your server passes.
You confirm
Nothing runs or costs a token without a person.
Winner · Hedgeweek US Awards 2026
New Solution Product of the Year.
Fintela won this category at the Hedgeweek US Awards 2026. The awards recognize fund performance and service provider excellence across the U.S. hedge fund industry, and the winners are decided by a vote of Hedgeweek’s readers.
The win recognizes the research infrastructure Fintela gives hedge funds and quant teams from day one: data pipelines, backtesting and out-of-sample validation in one cloud environment, instead of months of in-house engineering.
Teams building with Fintela
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 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 intelligent 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.