Quantitative Research & Strategy Optimization

From messy notebooks to disciplined, reproducible alpha research. We turn ideas into robust strategies with clean data, rigorous simulation, and evidence driven optimization.

Start your project

Turn research into repeatable edge.

Common roadblocks we remove

  • Leaky datasets, look ahead bias, and survivorship issues
  • Backtests that don’t match live behavior (fills, slippage, fees)
  • Manual parameter tinkering with no out of sample discipline
  • Untracked experiments and irreproducible results
  • Strategy decay not caught by regime shifts or factor drift

Outcomes you can expect

  • A reproducible research environment with versioned data + code
  • Event driven backtesting that mirrors exchange/venue microstructure
  • Walk forward, nested CV, and robust hyperparameter search
  • Factor/feature libraries with diagnostics (alpha decay, turnover, crowding)
  • Research governance: experiment tracking, reports, and audit trails

What We Build

Data & Feature Store

Curated historical data (prices, fundamentals, alt data) with feature pipelines, leakage guards, and reproducible snapshots.

Backtest & Simulation Engine

Event driven fills, venue calendars, fees/slippage models, borrow/roll, and portfolio accounting that matches live OMS/EMS rules.

Optimization & Experimentation

Grid/random/Bayesian sweeps, walk forward splits, early stopping, and constraint aware search for Sharpe, Sortino, Calmar, or custom objectives.

Portfolio Construction & Sizing

Risk budgets, factor neutralization, turnover control, Kelly/CPPI variants, transaction cost modeling, and basket/hedge design.

Analytics & Attribution

Alpha decay, drawdown anatomy, regime tagging, factor exposures, PnL explainers, and slippage/impact attribution.

Research UX & Automation

Notebooks, reusable templates, experiment trackers, and CI for data/feature tests. One click promotion from research to paper trade.

Game-changing solutions
tailored to your unique needs

Artifacts You Keep:

  • Versioned Datasets
  • Feature Pipelines
  • Backtest/Optimization Code
  • Experiment Logs
  • Reports
  • Dashboards

Discovery & Research Audit

Review data lineage, simulation fidelity, and evaluation methods. Deliver a gap analysis and blueprint for controls and tooling.

Data & Feature Engineering

Build feature pipelines with leakage tests, versioned datasets, and reproducible research snapshots.

Backtesting & Optimization

Implement event accurate simulation, cost models, and optimization workflows (walk forward + HPO). Validate with paper trade.

Reporting & Handover

Research reports, dashboards, runbooks, and CI. Train your team; handover or shared operation.

Who We Serve

We build solutions for a wide range of teams, horizons, and asset classes.

Asset Classes

Equities

Futures

FX

Options

Digital Assets

Horizons

Intraday

Swing

Multi‑day

Teams

Hedge Funds

Family Offices

Proprietary Traders

Fintech Product Teams

Engagement Models

Research Audit Sprint

Fixed scope review + blueprint to de risk future development.

Alpha Acceleration

Build feature pipelines, event true backtests, and walk forward optimization.

Portfolio Optimization Program

Position sizing, risk budgets, factor neutrality, and turnover control to productionize research.

Our Technology Stack

We leverage a modern, robust technology stack to build high-performance, reliable, and scalable algorithmic trading solutions.

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C++ logo
Pandas logo
NumPy logo
TensorFlow logo
QuantConnect logo
Interactive Brokers logo
AWS logo
PyTorch logo
Scikit-Learn logo
PostgreSQL logo
Docker logo

Security & Compliance

Access icon

Access & controls

Role based access, network allow lists, segregated environments.

Confidentiality icon

Confidentiality

Your datasets, features, and parameters remain private; public materials are sanitized.

Auditability icon

Auditability

Versioned data, experiment tracking, and reproducible runs with seeds.

Frequently Asked Questions

We build the research framework and evaluation tooling. Your proprietary signals/parameters remain yours.
Yes - Python/R/Julia to a consistent, reproducible pipeline with leakage and cost checks.
We model calendars, fees, slippage, partial fills, and account constraints to mirror your OMS/EMS.
Walk forward splits, nested CV, holdouts, and strict data/version controls.
Yes - risk budgets, factor neutrality, hedges, and constraint aware sizing.
As agreed. You receive private repos, versioned datasets, and documentation at handover.

Let’s turn research into repeatable edge.

From first idea to resilient strategy - data, simulation, optimization, and governance.

Our Quantitative Research & Strategy Optimization Projects

Explore case studies demonstrating our rigorous approach to backtesting, parameter optimization, and risk management in live market environments.

View Related Case Studies

Request a Consultation

Drop us a line! We are here to answer your questions within 1 business day.

What happens next?

1

Once we’ve received and processed your request, we’ll get back to you to detail your project needs and generally sign an NDA to ensure confidentiality.

2

After examining your project requirements, our team will devise a proposal with the scope of work, team size, time, and cost estimates.

3

We’ll arrange a meeting with you to discuss the offer and nail down the details.

4

Finally, we’ll sign a contract and start working on your project with agreed timeline