New article Building a Social Technology Startup, Part I: Tweet Your MetaTrader 5 Signals has been published at mql5.com:
This article aims to illustrate, through a practical example, how you can communicate an MetaTrader 5 terminal with an external web service. We are tweeting the trading signals generated by an Expert Advisor.
This idea comes from a particular conception of automatic trading called computer-assisted trading. In a nutshell, the computers of the XXI century do not have cognitive abilities, but they are very good at processing information and executing data. So why do not we build computer systems using human brains as filters to make decisions? This approach is inspired on the Human-based computation (HBC) paradigm, hence focuses on building decision support tools, rather than coding decision maker algorithms.
I had initially thought about creating an RSS feed with the trading signals generated by my EAs (it is assumed that there is a medium or long term underlying trading system, this idea is not valid for automatic scalping systems). A human with access to the feed should validate my robotic signals according to the circumstances of the moment, just before putting them on the market. However, I soon realized that everything could be even more social, and thought to myself, 'Why not publish my trading signals on the Twitter?' This led me to develop this Social Decision Support System.
Figure 1. SDSS Architecture
By the way, if you plan to create a technology startup related to FX trading this article may help you to take some ideas. It can be seen as a technical guide to build a commercial SaaS (Software as a Service) based on an SDSS.
This text is long, so I've decided to split it into two parts. The first one focuses on the web service architecture, the communication protocol used between the MetaTrader 5 terminal and the Twitter app, and finally the web app's integration with Twitter. The second part will cover the MQL5 layer of the network diagram shown above, which is intended to consume our Social Decision Support System's RESTful web service. Specifically, we will code an MQL5-RESTful framework in the same way as explained in the article MQL5-RPC. Remote Procedure Calls from MQL5: Web Service Access and XML-RPC ATC Analyzer for Fun and Profit.
This article is also social, so I encourage you to write your comments to help to continue with the second part.
Author: Jordi Bassaganas
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