Emsu

3 ms·

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Show HN: Spawner – Fast Copies for GB to TB Sized Databases(blog.spawner.io)
14 points by Emsu 11y ago|1 comments
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by Emsu 12y ago
Haha, I think that might be too nuanced :) I definitely agree though that (b*d)/c gives you a nice framework without being tied to a company's specific situation.
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by Emsu 12y ago
Fleshed out the tutorial a bit more yesterday. Feel free to propose what kind of docs you'd like to see on the issues page. I'm all ears :)
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by Emsu 12y ago
Lastest master is Python 3 compatible.
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by Emsu 12y ago
I'll try to find some time to work on that. If you have time, it would be super awesome if you could make a pull request for python 3 compatibility.
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by Emsu 12y ago
The scipy and statsmodels libaries are nice. CVXOPT would be good for portfolio optimization. You really have to implement your own strategies though.
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by Emsu 12y ago
Thanks for the heads up.
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by Emsu 12y ago
You're right. I really need to bite the bullet and generate stock split data. That was the main reason I used adjusted because splits were skewing my tests a lot.
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by Emsu 12y ago
I actually really want to support it. If only I could get my hands on some tick data... any ideas?
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by Emsu 12y ago
If you look at: https://github.com/Emsu/prophet/blob/master/prophet/data.py There's a PandasDataGenerator which is a wrapper around the pandas libary's DataReader. For the Yahoo source, yo
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by Emsu 12y ago
I'm adding a tutorial for more complicated strategies to the documentation. What did you have in mind for the visualization? Currently you can just install matplotlib and graph it or export a backtest to json.
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by Emsu 12y ago
Definitely adding tests :) The folder's sitting in my local repo and it'll be the next thing I do.
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Show HN: Prophet – A financial micro-framework in Python(blog.michaelsu.io)
152 points by Emsu 12y ago|32 comments