This is a trading item or a component that was created using QuantShare by one of our members.
This item can be downloaded and used by QuantShare Trading Software.
Trading items are of different types. There are data downloaders, trading indicators, trading systems, watchlists, composites/indices...
You can use this item and hundreds of others for free by downloading QuantShare.
Top Reasons Why You Should Use QuantShare:
Works with US and international markets (stock, forex, options, futures, ETF...)
Offers you the tools that will help you become a profitable trader
Allows you to implement any trading ideas
Exchange items and ideas with other QuantShare users
Our support team is very responsive and will answer any of your questions
We will implement any features you suggest
Very low price and much more features than the majority of other trading software
This is a modified version of the following downloader - Historical Economic Events. In the original version, the data were grouped by country, so events for each country were saved in a symbol with the same name as the country. The current version saves the data and associates it with the appropriate currency pairs.
Here is an example:
Take the following event: Housing Price Index (MoM) - United States
In the previous version, this event was associated with a symbol whose name is 'United States'.
In the current version, this event is duplicated and associated with the following currency pairs: AUDUSD, EURUSD, GBPUSD, USDCAD, USDCHF and USDJPY (All currency pairs that involves the US dollar).
Now, each time you select a currency pair, you get all the events associated with both currencies.
This update was achieved using the Pre-Scripting capabilities of the downloader. I just added a few lines of code to do this. Depending on the country name found in each line, the script makes several copies of that line and associates each copy with the appropriate currency pairs.
NB: As the original downloader item, the data is saved into the 'economic_cal' custom database. The only difference between the original database and the current one is that, I have included a new field 'country' in the latter so that we can identify to which country an event belongs.
NB: Times are expressed in Greenwich Mean Time (GMT)