Blog

This is the second in our new series of blog posts where we survey our data customers for insights and advice on the financial markets. For this article, we surveyed our wealth management for their advice on getting started with investing in stocks.

This article outlines how to use Pandas to adjust the timezone of time series data

This is part of a new series of blog posts where we survey our data customers for insights into their industry.

We just went live with our options offering and several other product enhancements...

Introducing Historical Options Chain Data

Intro to using and interpreting short-interest data

We just went live with a major upgrade to our datasets, featuring an API, more granular updates and more...

One of the most common requests we receive is how to resample intraday data into different time frames (for example converting 1-minute bars into 1-hour bars).

For Q3 2022, we added over 1200 ETF tickers, as well as several indices, and futures

For Q1 2022, we added 600 stock tickers, 150 ETF tickers and 10 futures tickers

For Q4 2021, we included mutliple timeframes, more ETFs and major cryptocurrencies...

For Q3 2021 we added fundamental datasets, expanded ETF coverage and out-of-hours coverage...

For Q2 2021, we added 40 futures tickers and started our tick data ETF coverage

This tutorial is a walkthrough of the process of importing 1-minute resolution historical FX data from csv files into MetaTrader 4 (MT4)

For Q1 2021, we have made numerous enhancements to our data offering including more frequent updates, larger bundles….

Although Excel is a useful tool for performing time-series analysis and is the primary analysis application in many hedge funds and financial trading operations, it is fundamentally flawed in the size of the datasets it can work with.

In the article, we review the process of importing 1-minute resolution historical FX data from csv files into MetaTrader 5 (MT5)