EMALGO by MetaProForex Demo Account Stopped test

by MetaPROForex.com
Site closed
-1.17% WEEKLY · 33.2 weeks
Average Pips per Week:
-28 (Gross Pips: -930)
Average P/L per Week:
-1.17% (Gross P/L: -32.37%)
Maximum Equity used:
5.17% (Sep 27, 2011, 2:41:00 AM)
Test started:
Jul 19, 2011
Test Stopped:
Mar 8, 2012 (Tested 33.2 weeks)
Abandoned Test

We appreciate MetaProForex team providing us the copy of EMALGO EA for our testing!

03.08.12 The FPA stopped the test as the company's website is closed.

10.07.11 EMALGO updated to v2.0... New: EMALGO V2.0 makes a major change in trade management strategy by doing away with the concept of breakeven level. EMALGO will now move the SL to just below the estimated Target Price which will ensure locking in of ateast 25-30 pips on each trade that achieves the estmated target price. Since this make it into a very tight trailing SL a larger number of trade will close at this level and a few trades will go on to reach higher gain when the price action shows strong movement. The dynamic trailing SL kicks in after a gain of about 100 pips is achived giving the trade enough room to achive maximum gains (~300-500 pips).
07.19.11 EMALGO installed on EURUSD H1 chart with default settings...

Developer Descriptions: EMALGO is powered by the Expectation-Maximization (EM) algorithm, which is a method of finding the maximum probable estimate of parameters in statistical models. This statistical theory has been adapted for the forex price action. Emalgo generates observed parameters from an array of indicators which is fed into the EM algorithm. The results from the EM algorithm gives out the most probable parameters for the next few bars based on input provided. EMALGO utilizes this to produce stunning success rates in short term trading.

EM is more frequently used in machine learning, medical image reconstruction and computer vision due to its ability to deal with missing data using observed variables. EM is becoming more popular in the financial industry for predicting price and manage risk of a portfolio. The rich set of observed parameters and the need for predicting the most probable parameters in the near future make EM algortihm a very powerful component of our software.