QFI Terminal
Equities, options, macro and crypto in one window. Type a ticker and the company opens: valuation, grades, financials, supply chain and the positioning around it.
qfiterminal.comSolving the puzzle of global markets
We study markets, develop models and build the software that brings the work together.
Research
Start with a question worth testing.
We read research papers, examine market theories and reconstruct the experiments behind them. The aim is to understand which claims hold, under which assumptions.
Research agents help analyse the literature, rebuild studies and run backtests. Their recorded experience also helps improve how the next experiment is carried out.
Explore Research
Models
Turn the idea into an experiment.
We train language models for financial text and develop trading algorithms around explicit questions. Each has its own task and its own evaluation.
Training, backtesting and parameter analysis help us examine what a model has learned, how sensitive it is to our choices and how it behaves on unseen data.
Explore Models
Software
Bring the work into usable tools.
Research, model development and engineering meet in QFI Terminal, DeepAlpha and our automated systems.
QFI Terminal supports company and market analysis. DeepAlpha focuses on order flow in index futures. Bots and algorithms turn defined procedures into repeatable workflows.
Explore Software
The products
Tools built through research.
Different applications, connected by the same work on data, models and market behaviour.
DeepAlpha
A native desktop platform for index futures. Footprint, volume profile, delta and the levels that matter on the day, drawn at tick resolution.
deepalphacharts.comBots & algorithms
Systems for research, testing and trading workflows, developed from explicit procedures and evaluated in the conditions they are intended to handle.
How we build them
The firm
Ideas, tested through research.
QFI Labs builds software for financial markets and investigates how those markets work. We develop our own hypotheses, explore new datasets and study patterns in prices, liquidity and market behaviour.
We turn promising ideas into signals, models and experimental strategies, then test them across market conditions, accounting for costs and practical constraints.
Our software supports that process, helping us design experiments, compare results and use what we learn to frame the next question.
About us