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Home Page: https://goo.gl/e0UY3K
License: Apache License 2.0
Open Source algorithmic trading platform in Java / Python
Home Page: https://goo.gl/e0UY3K
License: Apache License 2.0
Prices should be saved to file system rather than database. This allows the parallel loading in backtesting application.
MarketHoursFeature was tested with futures (DAX / SP500) times. It does not work well with 24 hours forex hours.
Hello
This looks like a very interesting project!
Can you please tell me, how do you write and run backtests? Are there any examples or docs?
Thanks
Set up Vagrant and Docker Compose / Docker Swarm to deploy the platform and semplify the development environment.
Jupyter does not execute commands when is accessed via nginx proxy.
DataCollector uses UTC to start week, it should use America/New_York zone instead.
This might lose the first 30 minutes of trading in case of currencies especially in case of daylight savings.
Implement a Spark based solution to brute force the optimal parameter estimation.
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