Investment analytics for the alternative data era

Research and monitor investments using alternative data. Quickly evaluate new datasets and fold them into your mosaic. Visualise and transform time series, build machine learning KPI prediction models, and backtest quant portfolios – without writing any code.

An overview schematic of the Exabel platform & features

Foundational data

Pre-loaded market, fundamental and consensus data for global equities from Factset and Visible Alpha.

Evaluate your alternative datasets and train high-quality prediction models with accurate ground-truth metrics, then benchmark live data and predictions against the broadest and deepest set of consensus estimates.

Alternative data

Gain an external perspective and novel, differentiated insights into company and macro-level trends.

Bring your alternative datasets into Exabel’s analytics platform. Gain instant access to integrated, analysis-ready data from leading vendors by leveraging Exabel's partnerships (partner licences required).

Bring your own data

Import data into your secure private namespace, and integrate it into your data mosaic across all Exabel analytics modules.

Upload datasets for evaluation and test hypotheses within minutes. Setup automatic data imports from cloud data warehouses. Or use our APIs and SDK to push data from production pipelines.

Exabel Core

Combine foundational data, alternative data, and your own data on a collaborative analytics platform

  • Exploratory data analysis & signal development: transform and aggregate your raw data, visualize results and analyze correlations instantly, and save to create your own proprietary signals
  • Dashboards: monitor analysis results for a tag (watchlist), and setup drilldowns with detailed charts on each company
  • Collaboration: share signals, dashboards, models and strategies with your team for easy discussion and reproducibility of analysis

Exabel Predict

Forecast fundamental company or macro-level KPIs using alternative data signals

  • Build prediction models leveraging advanced machine learning techniques in an easy-to-use, no-code interface tailored to investment analysis
  • Auto-modelling and ensemble modelling suggests optimal techniques for your data, while mitigating the risk of over-fitting to sparse data. Or choose from a range of popular machine learning models and have full control over hyperparameter options.
  • Backtest models against historical data, then deploy an optimized model into production for ongoing predictions based on live data

Exabel Strategy

Quantitatively backtest signals for alpha potential and risk, combine multiple signals to build optimised portfolios, and run these strategies in production

  • Alpha tester: iteratively develop and test new signals for alpha potential and risk, comparing tests to identify the best signals in terms of return, Sharpe & information ratios, drawdown, etc
  • Portfolio strategies: combine multiple signals with optimized alpha characteristics to build long-only or long/short portfolios. Control for portfolio risk, style factors, sector & country exposures
  • Backtest strategies against historical data, then deploy a chosen portfolio strategy into production to track performance and trade with live data

You have already installed everything you need

Exabel is a state-of-the-art web application, which can be securely accessed from any computer with a web browser. You can be up and running in no time, without the need for any implementation resources.

Contact us

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Exabel is a financial technology company based in Oslo, London, and New York.

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