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Algorithmic Order Management via the DARWIN Trading API

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In this tutorial, we describe (and provide source code for) features available to you in the DARWIN Trading API.
* Connect with the presenter on LinkedIn:
** Follow Darwinex on LinkedIn:
*** Get the latest source code for DARWIN API Tutorials, troubleshoot your applications, give and get help from fellow algorithmic traders and more, over at the Darwinex Collective Slack Workspace:
We demonstrate in Python 3, how to:
1) Raise, Update and Cancel Conditional Orders.
2) Buy and Sell DARWINs at market.
3) Get and Set Account Leverage.
4) Retrieve permitted operations on your investor account.
.. and more.
HANDS-ON learning with source code examples provided during the tutorial.
Source code (available as of Monday, July 15, 2019) on GitHub:
Enjoy!
--
Are you an algorithmic trader?
We'd love to have you test-drive the DARWIN API!
Have a good track record? List your strategy on our Exchange, and earn performance fees on investor profits!
More details here:
2.0M in performance fees paid to date:
Topics: #algorithmictrading #backtesting #accounting #timeseriesanalysis #darwinapi #darwinex #darwininfoapi #darwinquotes #darwinreturns #darwinscores #darwininvestmentattributes
* Connect with the presenter on LinkedIn:
** Follow Darwinex on LinkedIn:
*** Get the latest source code for DARWIN API Tutorials, troubleshoot your applications, give and get help from fellow algorithmic traders and more, over at the Darwinex Collective Slack Workspace:
We demonstrate in Python 3, how to:
1) Raise, Update and Cancel Conditional Orders.
2) Buy and Sell DARWINs at market.
3) Get and Set Account Leverage.
4) Retrieve permitted operations on your investor account.
.. and more.
HANDS-ON learning with source code examples provided during the tutorial.
Source code (available as of Monday, July 15, 2019) on GitHub:
Enjoy!
--
Are you an algorithmic trader?
We'd love to have you test-drive the DARWIN API!
Have a good track record? List your strategy on our Exchange, and earn performance fees on investor profits!
More details here:
2.0M in performance fees paid to date:
Topics: #algorithmictrading #backtesting #accounting #timeseriesanalysis #darwinapi #darwinex #darwininfoapi #darwinquotes #darwinreturns #darwinscores #darwininvestmentattributes