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SEEKING HELP - For doing it the right way

Hello All,

I am a programmer who is learning Python or trying to figure out the basics from Google at least, who wants to perform Quant trading.

Now honestly I am stuck at many strategies that I would like to try like using exponential regression, 12 month index for stock, calculating complex functions like R2 etc etc etc.

Now I understood there are two parts to it

  1. Financial understanding of the stocks like PE ratio, EPS, yield etc etc
  2. It's corresponding mathematical implementation , suppose I have a necessary raw data and I need to calculate R2 or EPS etc etc, how do I exactly do it and manipulate the data to be able to easily use it.
What are your suggestions to learn this? Any books, courses, suggestions that I can use?Any other topics that I should learn apart from 2 mentioned. I am not worried too much about programming as I may be able to figure it out. thank you
Ray
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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


Hi Ray,

The PE ratio, EPS, and yield are all examples of fundamental data provided by our API. In regards to calculating R2, refer to our previous thread.

To gain an understanding on financial concepts and data manipulation, I recommend completing our Tutorials. For instance, in the Introduction to Financial Python tutorial, we cover pandas and numpy. Both are invaluable technologies for performing data analysis.

Best,
Derek Melchin

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


Hi Derek, 

Thanks, I. think the Financial python tutorial will be a good point.

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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