Is it possible, using Quantopian, to create an algo which reads a webpage (e.g. http://www.investing.com/economic-calendar/) and extracts a data release number and places a trade on a logic statement within the algo.
I understand Dailyfx also has an RSS but not sure if this would be more or less quick than reading a webpage.
The issues are:
1. reading the data instantly it is released (asap) - somehow reading the webpage/rss continuously to do this. Of course this would only need to be done for seconds around the release time and not constantly be hitting the webserver.
- having a template to accommodate parameters which could be used for each release. Basically I would enter a pip value profit target (all calculated outside the algo by me in research prior to release) for a range of possible values of the data release and the algo would enter a buy/sell limit or market order based on:
a. where price traded immediately prior to the release,
b. the current price post release,
c. and my pip value entered pre-release.
Investing.com and other calendars are quick enough to do what I want.
I am aware of the speed of some algos and realise that I will be at a disadvantage to the likes of Bloomberg Tradebook which has such an algo integrated to their trading platform. However whilst I wish to trade as early as possible post-release, there are still opportunities post 1-2 seconds of many releases.
I am a forex trader and in no way a coder. Your thoughts and suggestions would be very welcome.
