I no longer trade using Metatrader. I noticed users kept hitting an invalid link on my website to this search phrase. So the purpose of this post is to catch those invalid links related to Metatrader. I would recommend learning Python and custom developing your algorithms. It will be much more rewarding.
Attached are zip files I had or that I was working on for Metatrader. I don’t know if they’re up to date, if they work, or support them in any form.
I no longer trade using Metatrader. I noticed users kept hitting an invalid link on my website to this search phrase. So the purpose of this post is to catch those invalid links related to Metatrader. I would recommend learning Python and custom developing your algorithms. It will be much more rewarding.
MT4 has a crude way of calculating the spread on each trade. It basically takes the current market spread at the time you run your backtest and applies that to all of your trades. Unfortunately, if someone is programming and testing on the weekends all of their results are going to be skewed because of the fact that the spreads on the weekend/after-hours are so high. You can check the spread that your MT4 platform is going to use by clicking on the symbol properties button from within your tester.
If you want to statically set this variable for your backtest purposes you need to download spread changer. It can be found here. http://www.jeremywhittaker.com/wp-content/uploads/2011/04/SpreadChanger.exe
Using this utility is not exactly straightforward. You need to find the file named Symbols.sel within your MT4 program files directory. Once you find the Symbols.sel file drag and drop it onto the Spreadchanger.exe utility and it will allow you to modify it.
The last step is you need to add a fake proxy server to your MT4 platform to trick it from accessing the internet. Because if it can access the server it will over ride your setting. You must also edit the symbols.sel file while your platform is closed.
Attached are zip files I had or that I was working on for Metatrader. I don’t know if they’re up to date, if they work, or support them in any form.
I no longer trade using Metatrader. I noticed users kept hitting an invalid link on my website to this search phrase. So the purpose of this post is to catch those invalid links related to Metatrader. I would recommend learning Python and custom developing your algorithms. It will be much more rewarding.
If you’re working with a default installation of MT4 or Metatrader chances are you modeling quality is not very good. I have composed this post to show how I import data into MT4 for better backtesting performance.
First thing you need is high quality historical data in CSV format. I have found Forex Tester to be very beneficial for that, http://www.forextester.com/data/datasources.html.
1. You will want to download the file that pertains to the pair you will be trading.
2. The next step is unzipping the file using a simple Zip program.
3. Before proceeding to import your new data you will want to go ahead and delete all of your old data first. So that you are not mixing the two up. If you are running Windows7 or Windows Vista you have to look in two locations for the .hst files and delete all of them. If however you are running Windows XP you need to only look in one. These locations can vary greatly depending what broker you download your platform from. I use Interbank but you will have to look and mind and figure out where yours are. Or you can just search your entire hard drive for *.hst files.
C:\Program Files (x86)\Interbank FX Trader 4 – B\history
C:\Users\%username%\AppData\Local\VirtualStore\Program Files (x86)\Interbank FX Trader 4 – B\history\IBFX-MT4 Mini-2
4. Now that you have unzipped the files they should be in .CSV format. From here you can now open your Metatrader platform. Then go to tools>options click on the chart tab and change the “max bars in history” and “max bars in chart” to 999999999. Once you close this window Metatrader will adjust to the highest possible setting automatically.
5. You will now want to go to tools>history center. Double click your currency pair that you are trying to import. Then double click on the 1m timeframe underneath it. Now click on the import button. Browse to the location of the .txt file that you extracted in step 2. You may have to change the rows setting to 0. If it works correctly you will be able to see every row from the file that you are importing. Click ok and all of your 1m data is now complete.
6. The next step is to generate your 5m 10m 30m 60m 240m 1440m and 10080m data. This will get all of the commonly used timeframes. You can also do custom ones if you wish.
7. To do this you need to go to navigator from Metatrader terminal. Select the scripts from the navigator window and look for one named “period_converter”.
8. Open a 1m chart of the currency pair that you just imported.
9. Now double click on period_converter
10. It’s going to ask you for an input labeled “ExtPeriodMultiplier”. The default value is 3. Change this to 5 to generate your 5 minute chart data.
11. If you have your terminal window open in Metatrader select the experts tab. You will see something that says period_converter GBPUSDm,M1: 726279 record(s) written. This is how you know it is complete.
12. Double click period converter again. This time select 10 for 10 minute chart. Continue doing steps 10 and 11 until you have created your 5m 10m 30m 60m 240m 1440m and 10080m data. You are now ready to move on to your next currency pair.
Attached are zip files I had or that I was working on for Metatrader. I don’t know if they’re up to date, if they work, or support them in any form.
I no longer trade using Metatrader. I noticed users kept hitting an invalid link on my website to this search phrase. So the purpose of this post is to catch those invalid links related to Metatrader. I would recommend learning Python and custom developing your algorithms. It will be much more rewarding.
I wanted to share with everyone an indicator that I programmed and I find very useful. It is called the Whittaker Volatility Breakout Indicator or WVBI. The purpose of this indicator is to represent the range of a bar in percentage terms rather than in points. I think the flaw of most traders or programmers is they often write code and optimize it for pips of a given pair. This I truly believe is one of the core fundamental flaws of sustainability of a strategy. When people start programming static values. Whether it be in money management, entries, exits, or take profit levels.
What this indicator does is as follows:
This indicator has 3 inputs:
All of this might seem confusing at first. However, I assure you this a very useful indicator for detecting volatility in a market.
You can see from this example of above the bar in question exceed it’s 14 day ATR by 203.95%.
Attached are zip files I had or that I was working on for Metatrader. I don’t know if they’re up to date, if they work, or support them in any form.
Most beginning traders don’t know where to start or how to apply concepts to the markets. If you are a beginner, intermediate, or advanced trader the following document should be able to help advance or solidify your trading career.
