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Algorithmic Trading via ZeroMQ: Python to MetaTrader (Subscribing to Market Data)

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In this 3rd tutorial, we demonstrate how to set up a "Market Price Server" using ZeroMQ, Python and MetaTrader.
* Connect with the presenter on LinkedIn:
** Follow Darwinex on LinkedIn:
*** Get the latest updates to the DWX-ZeroMQ-Connector project, troubleshoot your applications, give and get help from fellow algorithmic traders and more, over at the Darwinex Collective Slack Workspace:
Risk Disclosure:
We also demystify the HST binary file format used by MetaTrader to store asset data, and show you how to pull historical data from HST archives directly into Python.
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IMPORTANT REQUEST: Please please please.. if you find this content useful, please do consider liking and sharing it on YouTube, Twitter, Facebook, LinkedIn and whatever other social networks you have circles in.
Darwinex relies almost exclusively on organic growth, primarily through recommendation via informative content.
YouTube’s algorithms measure the quality of Darwinex content on the basis of:
- Reach
- Engagement
- and several other related variables
With seemingly small actions such as:
- Clicking the Like button
- Clicking the Subscribe button
- Clicking the Share button (on YouTube) and distributing our content
- etc
… YOU inform YouTube’s algorithms of your sentiment towards Darwinex, thereby directly helping Darwinex MASSIVELY in achieving organic growth.
Thank you very much for your kind consideration!
-----------------------
If you haven't watched the first 2, here they are again:
1) How to Interface Python Trading Strategies with MetaTrader via ZeroMQ
2) Algorithmic Trading via ZeroMQ: Python to MetaTrader (Trade Execution, Reporting & Management)
Contents of this tutorial:
--
1) Setting up a Market Price Server via ZeroMQ
2) Understanding the HST file format
3) Reading historical data from HST files into Python
4) What comes next.
Download the source code from GitHub here:
1) DWZ_ZeroMQ_Connector
2) HST to Python Dataframe
If you consider yourself a talented trader, we'd love to have your strategy listed on our Exchange, enabling you to earn performance fees on investor profits.
More details here:
1.9M in performance fees paid to date:
Topics: #algorithmictrading #python #metatrader
* Connect with the presenter on LinkedIn:
** Follow Darwinex on LinkedIn:
*** Get the latest updates to the DWX-ZeroMQ-Connector project, troubleshoot your applications, give and get help from fellow algorithmic traders and more, over at the Darwinex Collective Slack Workspace:
Risk Disclosure:
We also demystify the HST binary file format used by MetaTrader to store asset data, and show you how to pull historical data from HST archives directly into Python.
-----------------------
IMPORTANT REQUEST: Please please please.. if you find this content useful, please do consider liking and sharing it on YouTube, Twitter, Facebook, LinkedIn and whatever other social networks you have circles in.
Darwinex relies almost exclusively on organic growth, primarily through recommendation via informative content.
YouTube’s algorithms measure the quality of Darwinex content on the basis of:
- Reach
- Engagement
- and several other related variables
With seemingly small actions such as:
- Clicking the Like button
- Clicking the Subscribe button
- Clicking the Share button (on YouTube) and distributing our content
- etc
… YOU inform YouTube’s algorithms of your sentiment towards Darwinex, thereby directly helping Darwinex MASSIVELY in achieving organic growth.
Thank you very much for your kind consideration!
-----------------------
If you haven't watched the first 2, here they are again:
1) How to Interface Python Trading Strategies with MetaTrader via ZeroMQ
2) Algorithmic Trading via ZeroMQ: Python to MetaTrader (Trade Execution, Reporting & Management)
Contents of this tutorial:
--
1) Setting up a Market Price Server via ZeroMQ
2) Understanding the HST file format
3) Reading historical data from HST files into Python
4) What comes next.
Download the source code from GitHub here:
1) DWZ_ZeroMQ_Connector
2) HST to Python Dataframe
If you consider yourself a talented trader, we'd love to have your strategy listed on our Exchange, enabling you to earn performance fees on investor profits.
More details here:
1.9M in performance fees paid to date:
Topics: #algorithmictrading #python #metatrader
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