Data Showcasing

Demonstrating the value of Alternative Data to traders, investment managers, and senior management. The vendors who collect the data don’t have access to experienced backtesting engines, historical news, and fundamental data that allows the quantitative analyst to verify that value in the data set is worth the investment.

CloudQuant has been able to incorporate time-series data into our Backtesting, and Research tools since our inception.

Showcasing data in CloudQuant is the best way to show the value in the data.

Feature Description
  • Fully enabled backtesting
  • Sample algorithmic trading strategies
  • Trading Scorecards
  • Online detailed demonstration results
  • Trade History Files
  • Working Algos that Showcase your Data Set
  • Full source code to all algos
  • Industry Standard Ticker Symbology
  • Point-in-Time Historical Symbols
  • AI Driven Symbology Maps
  • Point-in-Time API access to Data
  • Specify the symbol and time range to query data.
  • Results in JSON or DataFrame
Data Security
  • No one can download or copy your dataset.
  • Only authorized users have access to the data through our Liberator API.

Backtest results from Data Showcase

The Difficulties of Dataset Onboarding

The industry knows that the onboarding a new data set is a difficult process. There are numerous problems that include*:

  • Prohibitively High Fees
  • Data not compatible with current data analysis systems
  • Can’t find the correct resource
  • Lack of time
  • Difficulty understanding the data’s value
  • Human Capital not available
  • Management not convinced of the value

For those in the trading industry, we have additional problems that include:

  • Difficulty symbology mapping.
  • Dealing with point-in-time changes to symbol changes.
  • Correlating time series data correctly.

*Source: Greenwich Associates, Alternative Data Usage Study, 2017

Request more info :