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A cloud-based Big Data & AI research platform

What is QuantDesk®?

An AI Investment Research Platform Powered by Big Data.

QuantDesk allows you to form and validate a quantitative investment approach with a user-friendly interface.

Evaluate alternative data, discover predictive signals, test new theories and build winning investment strategies. No data science expertise or coding required!

Who uses QuantDesk®?

Any business minded investment professionals.

Data vendors who seek to find a new audience in the Financial Markets.

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Best technology we’ve seen for equities, especially in the US. Would be hard to find another holistic platform as robust as QuantDesk

Kookaburra Capital

Why use QuantDesk®?

With QuantDesk® you can: 

Construct, backtest, and deploy an investment strategy without writing a single line of code.

Identify and exploit market opportunities with precision.

Scientifically test and validate investment strategies before risking capital.

Derive insights from orthogonal Big Data sources and apply multi-factor pattern recognition technology in a clear and intuitive user interface.

Improve your strategies with Machine  Learning-based optimization and forecasting automation.

Reduce risk, minimize volatility, and increase benchmark relative returns with industry-leading hedging and portfolio replication technologies.

QuantDesk® has six powerful Machine Learning modules:


Pattern recognition price forecasting

  • Discover future price trends using multi-factor models.
  • Deep learning and regression based models trained daily to adapt to changes in market conditions.
  • Forecast and backtest both long and short directions.


Reduce risk with asset allocation recommendations

  • Nobel Prize winning Mean-Variance approach to portfolio optimization.
  • Up to 10 risk profiles from lowest volatility to highest return.
  • Support multi-level allocation constraints and turnover goals.

Hedge Finder

Reduce volatility with additional uncorrelated assets in your portfolio

  • Supports long only, short only and long/short hedge compositions.
  • Unique pattern matching technology set to limit risk and maximize Sharpe Ratio.
  • Validate through comprehensive backtest simulations and performance reports.

Event Analyzer

Exploit market opportunities by identifying predictable behavior following  meaningful events

  • Evaluate how assets responded to meaningful events in the past to derive opportune time for future entry and exit.
  • Construct multi-factor filters to identify assets with common price action trajectory.
  • Machine learning models from multiple big data sources to support investment objectives and time horizons

Portfolio Replicator

Clone a time series pattern of an asset, or a portfolio using a predetermined security basket.

  • Replicate time series representation using your favorite security basket.
  • Find out the most prominent constituents of a fund based on its performance time series.
  • Identify uncorrelated constituents to a portfolio by replicating its inverse time series representation.


Take investment strategies through a historical test drive before risking capital

  • Roll bak time and assess how effective an investment approach is by simulating trade executions in various market regimes.
  • Comprehensive performance reports with factor attribution and transaction history.
  • Performance reports account for transactions cost, slippage, short borrowing costs while index membership is survivor bias free.

Case Studies

Kookaburra capital

How a quantitative overlay and alternative data boosted Kookaburra’s strategies by 11% while the S&P dropped 7%.
#Investment Strategy

How Lucena provided a quantitative approach to winning Machine Learning strategies for a multi-strategy hedge fund.


Hedge Fund Case Study

How Lucena increased portfolio returns by 180 basis points in under 10 months.
#Quantitative Analysis Research

A quantitative approach provided incremental growth and portfolio optimization for a multi-billion-dollar discretionary fundamental hedge fund.



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