Autonomous quantitative research infrastructure
Compress the research cycle from weeks to hours.
Velsar works alongside your quants to expand research bandwidth and increase research throughput. Give the system a research task or objective. It coordinates the work, tests the thesis, challenges the evidence and returns a complete research package your team can act on.
Built for HFTs, quantitative trading firms, hedge funds and systematic research teams.
The constraint
Competing with firms that have more researchers.
The edge is not only finding good ideas. It is how many ideas a team can investigate, reject, improve and carry forward before the market changes. A smaller research team needs more leverage from every researcher.
The old bottleneck
Research capacity is constrained by time.
Researchers spend significant time moving between data, code, modelling, testing, backtesting and review. The work is valuable; the coordination around it consumes the scarce resource.
The Velsar advantage
Make every researcher materially more productive.
Velsar runs alongside your existing team. It takes on the depth and coordination of research so your quants can spend more of their time on judgement, market understanding and the questions that deserve their attention.
Compress the time between an objective, the evidence and the next research decision from weeks or months toward hours or days.
Research compression
More research, inside the same day.
Velsar is not intended to replace the judgement of a quant. It compresses the work around that judgement, increasing the amount of research your team can put through the pipeline.
Idea to data to analysis to validation to review to iteration
Objective to parallel research to challenge to validated package to next iteration
How it works
Your team sets the direction. Velsar handles the depth.
A research objective becomes a coordinated workflow across the disciplines required to investigate it properly. The output is brought back together so the researcher sees the full picture, not disconnected pieces.
Set the research task
Define the hypothesis, market question, signal, strategy problem or research direction.
Investigate in parallel
Specialised research processes can span the full range of quantitative research required by the objective, from data and modelling through market structure, signals, portfolio construction, execution, risk, and alternative approaches.
Challenge the result
Test assumptions, robustness, regime sensitivity, statistical validity and failure modes before conclusions are accepted.
Return the research package
Findings, evidence, validation, limitations, risks and reproducible implementation material, together.
Research output
From a research objective to a decision-ready package.
The point is to give a quant a body of work they can inspect, challenge, reproduce and build on.
Everything required to understand what held up.
Each research cycle connects the original objective to the analysis, the evidence to the conclusion and the conclusion to its limitations. Failed research is valuable too, it tells the team where not to spend time again.
Compress the time between an idea and the next informed research decision.
Put more research objectives through the pipeline without relying only on additional headcount.
Increase the volume of work that reaches meaningful validation and review.
Research memory
Every version becomes part of the firm's memory.
Research should compound. Velsar preserves the work inside the firm's environment so the next researcher does not start from zero, and a failed idea does not have to be rediscovered six months later.
Research history is retained. See how an objective evolved, what changed and which results came before the current version.
Failure is recorded. Know what was tested, why it failed and what evidence ruled it out.
Useful findings remain reusable. Prior research becomes context for future objectives instead of disappearing into notebooks and folders.
Your research stays under your control. Data, research history and proprietary outputs remain within the environment defined for your firm.
Institutional security
Your data is yours. Your research stays inside the perimeter.
For a trading firm, research data is strategic IP. Velsar is designed around the principle that proprietary market data, strategy logic and research outputs should remain under the firm's control.
No data leaves your perimeter
Velsar is designed so sensitive research and proprietary data can be processed within the firm's controlled execution environment.
Your IP remains yours
Research objectives, strategy logic, signals, data and outputs remain the firm's intellectual property under the applicable agreement.
Everything is recorded
Research provenance and execution context can be retained so teams can understand, review and reproduce the work.
The best quant teams are not the ones with the most people. They are the ones who can iterate on a hypothesis faster than anyone else.”The operating philosophy behind Velsar
Give your quants more room to research.
For HFTs, quant firms, hedge funds and systematic trading teams.