Introduction

Exabel is a powerful analytics platform for investment teams to research and monitor investments using alternative data. It provides tools to visualise and transform time series data, make KPI predictions, test signals for alpha potential, and build portfolio strategies – without the need to write any code.

Data

Data is the foundation to any investment analysis. There are three categories of data on Exabel:

1. Foundational data: market, fundamental and consensus data from Factset and Visible Alpha

2. Partner / alternative data: integrated, analysis-ready data from >20 leading alternative data partners, covering global equities across all sectors (available only with partner licenses)

3. Bring your own data: you can import your own custom data sets

Foundational data and alternative data from Exabel partners are pre-loaded and available instantly to any user with the necessary licenses, allowing you to generate investment insights within minutes. These are integrated with live data pipelines, so any models and strategies you develop can be deployed to production on live data immediately.

📘

Exabel is a time series analysis platform

Exabel is built for time series data and analysis, which is critical in the financial domain.

Data that you import should also be in the form of time series. If you have non-time series data sets such as transaction data, this must be pre-aggregated into a time series and then imported into Exabel.

👍

Exabel is data vendor-agnostic

Exabel is a general analytics platform that can work with any time series data from any vendor.

Our data partnerships make it easier for you to get started with alternative data, but you are equally free to import data from other providers, and even your own proprietary data.

👍

Customer data is segregated and private

Data that you import, your analysis, and analysis results are always private to you.

Analytics

Exabel Core

Exabel's core functionality lets you access, transform and combine your data; visualise data in charts and dashboards; deep-dive into companies; create tags and screens of companies; and collaborate with your team.

• Signal DSL (domain-specific language): Transform your signal data with Excel-like formulas.
  For example: aggregate into company-specific fiscal quarters, calculate YoY change, or average 2 signals from different data sets.

• Signal Explorer: Create new signals using the DSL; chart signals for companies, tags or screens; and perform exploratory correlation analysis.

• Dashboards: Create dashboards of signal data and model predictions for a tag or screen of companies.
  For example, a quarterly KPI dashboard might display trends in an alternative data signal like credit card spend, consensus forecasts, prediction model forecasts for the coming quarter, and recent price action.

• Drill-downs: Create drill-down views on a single company or entity, configured with custom charts and tables of signal data. Drill-downs may be linked from dashboards, or accessed via the company search.

• Library: Your signals, dashboards, models, etc appear in your Library as you create them. Use the Library to organise your resources into folders, and optionally share and collaborate with your team.

• Tags & Screens: Create static tags and dynamic screens of companies, which may be utilised for dashboards, models, and strategies.

Exabel Predict

Exabel Predict helps you forecast fundamental company KPIs or share prices, using alternative data signals.

• Prediction models: Pick from a variety of statistical and machine-learning models (or let Exabel find the best!), identify your target KPIs, and a set of input signals to use for prediction. Then train on historical data, backtesting to measure historical prediction accuracy, and deploy in production to forecast future KPIs.

Exabel Strategy

Exabel Strategy helps you quantitatively test signals for alpha potential and risk metrics, and combine multiple signals to build portfolios.

• Alpha Tests: Pick a set of signals and a universe of tags and/or screens, and test each pair of signal+tag/screen for alpha and risk. This lets you iteratively develop and test variations of signal transforms. Compare multiple alpha tests to identify the best signals in terms of return, Sharpe / information ratio, drawdown, etc.

• Portfolio Strategies: Combine multiple signals with optimised alpha characteristics to build long-only or long/short portfolio strategies. Control for portfolio risk, style factors, sector & country exposures. Then run a backtest and optionally start live-tracking the strategy.