Thus, I am in search for a proper solution to send data from the MetaTrader 4/5 Terminal to an external server periodically (e.g. every 60 seconds) formatted as json or csv (if possible). In particular, the data to be sent is the accounts trade history and the running + pending trades set.

Which kind of data from the MT4/5 terminal can be populated into the data array?

How can that data be formatted? Is it possible to format it as json straight away or should that be done on the server-side?


Download Data Metatrader 5


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In the new MetaTrader 5 version, we have added an API which enables request of MetaTrader 5 terminal data through applications, using the Python high-level programming language. The API contains multiple libraries for machine learning, process automation, as well as data analysis and visualization.

MetaTrader package for Python is designed for efficient and fast obtaining of exchange data via interprocessor communication, directly from MetaTrader 5. The data received via this pathway can be used for statistical calculations and machine learning.

For this, metatrader.live may help. The question is just to attach an (open-sourced) expert advisor and have the data online through JSON or WebSockets or something. OR You can use it as a transport layer only for your own logic. Easy enough. And yes, I'm the author :)

This doesn't matter so much on lower time frames, but when you are looking at the weekly charts, not having all of the available historical Forex charts data can mean that you are missing important support and resistance levels.

As a general rule, the best way to download additional MetaTrader 4 historical data is to use the History Center inside MT4. First change the maximum bars allowed in the history of each pair in Tools > Options. Then download timeframe you need in the History Center. 

You can also click on the Import button to upload your own data or the Export button will allow you to get a Forex historical data download in a CSV file that you can use in another charting program.

Once you download all of the currency pair data, you may be surprised how far back the data actually goes. For example, after I downloaded the data for the USDCHF currency pair, I found out that data was available all the way back to the 1992.

If here is a downside to getting all of this data though, it is that it can take up a fair amount of space on your hard drive. So if you have a small SSD, are running a virtual machine, or you are running out of room on your drive, be selective about which pairs you download data for.

But it is important to see as much information as possible, so you can see key support and resistance levels, and get as much data as possible when doing automated backtesting and during live trading.

Why MetaTrader 5 and 4 not running on my mobile data, with wifi or mobile hotspot its running fine but with my mobile data its not running, also if i provide mobile hotspot with my phone to others MT5 also not running with my mobile hotspot.

Bro my problem solved

2 things i have done

I have deleted all my MT5 servers on Exness broker

And then reset my mobile data APN settings

And then again i created new MT4 server ,this time it is mt4 and transfer all the funds from that mt5 to new mt4 server and also deleted the old mt5 which is my main fund account

MT5 has not been integrated into Rithmic. For exchange-traded products the only API available is CQG.

I am not sure if you are looking to test or trade, but we provide a 2-week trial of CQG data.

Here is the demo page: Download MetaTrader 5 | Free Futures Trading Demo | Optimus Futures

This platform allows the usage of both M1 (1 Minute Bar) Data and Tick data with 1 second resolution.

These files are well suited for backtesting trading strategies under th most recent versions of NinjaTrader platform. Please, select the data timeframe you'll need:

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This article shows how to load data in MT5 through 4 easy steps to import data in Metatrader 5. MT5 historical data import is a little bit different from the MT4 one. We will show here how to To import data of a symbol (Symbol_X, i.e. EurUsd) so that you can be able to load long history data for your backtesting.

Loading Metatrader 5 historical data is as easy as the Metatrader 4 historical data loading but it's a different procedure. Let's start opening Metatrader 5 and click View -> Symbols or just click CTRL+U.

Once you are in the symbol list, just select the financial instrument you want to load data in, so that you can create an exact copy of that symbol and load data in there and click on Create Custom Symbol

If you purchased data from BacktestMarket, pls remember to take a look at the shift. Our data are generally in Chicago timezone (GMT-5/-6) so if you want to transform them into CET timezone (Rome/Amsterdam/Berlin GMT) shift them of +7 hours.

This short article shows new Metatrader 5 users how to load data in MT5 Platform through 4 easy steps. Pls remember this following example to understand how MT5 treats different timeframes data.


If you import following data: 

-EurUsd daily from 1980 to today

-EurUsd 1 minute data from 2002 to today, 

Then:

=> MT5 will use the daily data for the period 1980-2001

=> and the 1 minute data for the period 2002-today.

There are two essential steps for successful algorithmic trading: reliable strategy backtesting and confirmed performance on forward testing. A backtest is trustworthy when we simulate trading on long data series without gaps. It is also very important the forex data for the backtest to be with the same timezone with our MetaTrader account.

We usually use historical data from MetaTrader. However, when we need, we import better and longer data series. With good data, FSB Pro and EA Studio generate more robust strategies. Then we confirm the backtest in MetaTrader.

There are several steps performed for providing forex data. First, we collect the initial raw tick data from DukasCopy. The process is lengthy and takes hours. Once it is done, we parse the raw tick data into bar data in binary format. Then we compose the base data series for periods: M1, M5, M15, and M30 and cut them up to 200000 bars.

The Historical Forex Data application loads the precompiled data fix the timezone and compose the necessary files for download. This process guarantees forex data availability and excellent user experience.

The following guide applies to both live CQG data and the demo data feed provided with MT5. If you are using Ironbeam as a broker with the MT5 platform, you will be provided with a set of CQG credentials specifically for MetaTrader 5 via email. These credentials are specific to MT5, they will not allow you to log on to other trading platforms that use CQG.

Choosing the correct source is imperative for realistic results, and will vary according to the specific broker and trading account type. Before downloading years of data, it is good practice to download the most recent week, and take any arbitrary bars on the chart, and check closeness to the data provided on the terminal from your real account from your broker. The spreads should also be checked for closeness, and if using volumes, closeness of tick volumes too.

The Metatrader Data Editor allows users to edit special fields such as spread, lot sizes and leverage - basically all the information that is used in the process of evaluating your back-test.The Editor allows users to edit these specific fields without having to export the entire database again.

Note how there is one FXT per symbol, per time-frame. Select the appropriate FXT file according to what instrument and time-frame you would like to change. For example, EURUSD5_0.fxt represents data for EURUSD in the 5-minute time-frame.

** Monthly Fees Listed Above are for Non-Professional Trader Status. For Professional Status Fees, please see the exchange website. 

** The fees above will be the exact amount charged on your AMP Client Statement. If there is no price listed, means this exchange is not currently available with the specific datafeed. TT only offers (Level 2) Depth of Market.

** The Exchanges Charge for the Entire Calendar Month, even if enabled for only 1 day (No Prorated Fees)

You can use live market data for processing. It will not get updated automatically but manually you can do this with this method and its free. You can do the analysis and place trade later update the chart with new data and check status.

Getting historical intraday financial data can be a pain, especially for non-US markets. If you have deep pockets you can simply buy the data you need, but for retail investors the cost is prohibitive. If you want historical transaction-level data for the Brazilian stock market, for instance, TickData will sell it to you for about US$ 65000. Hard pass. What to do?

Here is a minimal working example of how the Python API works. This snippet requests tick data (trade ticks only - no bid/ask ticks) for BOVA11 between 2021-01-01 and 2021-01-07 and then saves the results in a CSV file. Before you run this script you need to launch the MetaTrader app and log into it using the credentials your broker gave you.

Market prices, data and other information available through Alpaca are not warranted as to completeness or accuracy and are subject to change without notice. System response and account access times may vary due to a variety of factors, including trading volumes, market conditions, system performance, and other factors. A more complete description of the impact these factors may have can be found in our risks of automated trading systems section. ff782bc1db

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