Pioneer Generation was created in 2019. It is a partially automated expert advisor that uses an indicator, time, and dollar averaging theory to enter and exit trades. This EA is designed to trade most of the pairs, with selective direction only. It needs human assessment based on the Fundamental Analysis (FA) in order to increase its winning rate.  

Similar to most EAs, this EA went through multiple testing, in-sample, out-of-sample testing, and forward test.

See the past results below.

Results for the In Sample Testing (from 2012 to 2016)

Below was the past backtesting result through the MT4 platform without any human intervention.

Results for the Out-Of-Sample Testing (2016 to 2017)

Below was the past backtesting result through the MT4 platform without any human intervention.

Forward Testing results (2018 to 2019)

EA was deployed in different pairs and with some human intervention. Results were obtained through PsyQuation platform (i.e. an independent analytics platform providing MT4 traders with insights to improve trading).

Results BEFORE transited to the new server and account

Result AFTER transited to the new server and account

This EA has retired in Nov 2019 as there were too many multiple numbers of trades opened concurrently.

The post About Pioneer Generation (2017 version) appeared first on SHDesignLab.

Pioneer Generation (2022 version) is an enhanced EA that was originally created in 2017. It is a fully automated expert advisor that uses a combination of different indicators and dollar averaging with offset methodology to determine when to enter and exit trades. This EA is designed to trade GPBUSD pairs and can be used by both novice and experienced investors. It can be one of the most profitable expert advisors you can choose.

This offers different subscription rental options to its users. With good intentions, the founders will help to host the EA in their server so that subscribers will not need to worry about the deployment of this EA.

Back Testing of the EA

When backtesting an idea, we like to use a lot of market data. The more of it we have access to, the better we can decide the robustness of our strategies.  In general, we want to have somewhere between 5-20 years of data to work with, to ensure that changing character of the market is represented in the results, as well as to provide a good sample size.

What most beginning traders do is test their idea on ALL data available to them in the belief that large quantities of data are enough to ensure the validity of their observation. Those who know the concept of curve fitting will understand that this is incorrect. Most likely, what they have done is to fit an idea to market noise, resulting in immediate failure once traded live.

This is where in sample and out of sample testing comes into play as a great method to discover curve fit strategies BEFORE putting money at risk. It is all very simple.

1. Divide all the data into two pieces
2. Do all testing on one of the data pieces
3. Once done testing, verify your findings on the other data piece.

The piece of data used for testing is called in sample and the piece used for validation is called out of sample. Hence, “In sample and out of sample testing.

Results of In sample testing for GBPUSD currency pair from 2012 to 2018

Platform for the backtest: MT4 platform (using control point testing)
Duration for the backtest: From 11 Aug 2012 to 11 Aug 2018 (5 years of past market data)
Capital used: USD$10,000
Lot size: 0.1 and 0.2
The timeframe used for the backtest: 1 hour
Direction: Long and Short trades

Results of Out of sample testing using the same parameter for GBPUSD currency pair from 2018 to 2022.

Results of the GBPUSD pairs after back-tested
(Using 10 years of past trading data)

Platform for the backtest: MT4 platform (using control point testing)
Duration for the backtest: From 11 Aug 2012 to 11 Aug 2022
Capital used: USD$10,000
Lot size: 0.1 and 0.2
The timeframe used for the backtest: 1 hour
Direction: Long and Short trades

The behavior of the Enhanced Pioneer Generation EA.

Check out the two videos below on how the EA will behave.

Typical Characteristics of the Enhanced Pioneer Generation EA

The EA is based on time factors and various indicators to determine the entry points. Once entered, it will deploy a dollar averaging methodology with some offset algorithm to profit from the trades or to recover the losing trades. It is a b-directional EA where it can automatically enter sell or buy trades depending on the algorithm. In other words, while one direction trades are looking for offsetting, the direction trades will be profitable.

The post About Enhanced Pioneer Generation EA (2022 Version) appeared first on SHDesignLab.