Discover how to leverage Google Cloud Platform BigQuery to perform lightning fast analytics on tick data, directly in the Cloud. Using SQL, easily analyse gigabytes of data in a few seconds.
This article will demonstrate how to request tick history data on demand on Jupyter Notebook.
This article explains how to improve TRTH data downloads performance.
After making a request for historical data using TRTH, once the data has been extracted and is ready you can download and save the resulting compressed data file to your local hard disk. In this article, I investigate how to download TRTH compressed data files, and how to optimize the download time.
This article demonstrates problems and solutions that developers should be aware of when using TRTH V2 On Demand data extraction with Go programming language. It uses Tick History Market Depth On Demand data extraction as an example to demonstrate the usage and solutions.
The following article provides developers a method to use TRTH REST API to retrieve page-based data which mainly used for the Speed Guides or including other page RICs.