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zakruti.com » IT - Software » freeCodeCamp.org
Algorithmic Trading Using Python - Full Course

Algorithmic Trading Using Python - Full Course

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Rating: 4.0; Vote: 1
Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Computer algorithms can make trades at a speed and frequency that is not possible by a human. After learning the basics of algorithmic trading, you will learn how to build three algorithmic trading projects. - Code: https://github.com/nickmccullum/algorithmic-trading-python https://github.com/nickmccullum/algorithmic-trading-python -- Course developed by Nick McCullum. Learn more about Nick here: https://nickmccullum.com/
Date: 2022-03-14

Comments and reviews: 10


at the minute 52:33 after writing the part of the columns, when i run the code appears this [-FutureWarning: The frame.append method is deprecated and will be removed from pandas -
in a future version. Use pandas.concat instead.-] how can i solve? because i tried to replace append with concat but it doesn't work

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Awesome video, I have learned a lot from watching it untill the end, the only thing is that when I tried to replicate the last project with a real production IEX cloud API it returned error during the module Building a Better Quantative Value Strategy : JSONDecodeError: Expecting value: line 1 column 1 (char 0)
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This is all good information! However I am stuck on -Using Batch API Calls to Improve Performance-... I get a -KeyError: Traceback (most recent call last)-. I've tried almost everything.. Even tried to copy paste from the finished file. No luck. Can someone help me please?! Thanks
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Getting this warning, how do i fix it to prevent future problems FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.-
rv_dataframe = rv_dataframe.append(

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This is a great course. I learned so much from it. One suggestion: the robust value trading program should exclude the negative PE Ratio stocks first before sorting for the low 50 stocks.
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How do we open the jupyter notebook-17:20-18:03, I clicked on the github link but I'm not able to clone it to my computer. I'm learning this for the first time so please bear with me.
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Just stumbled on this. Thank goodness I got took my trading seriously. Getting into the market surely led to many open doors for me as I've gone to make quadruple of what I put in.
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at 29:30 when I click to download the secrets.py file i get taken to a html webpage with one line of text on it, rather than the file being downloaded
help please?

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isn't it wrong to fill the missing data based on the values of other stocks, since those ratios are totally not related to ratios of other stocks
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Please go a bit slow in the end stages.. you type at lightning speed I can't even understand whats going on from 2:28:00-2:45:00
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