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Beginner Trying to Program Complicated Code

Hey everybody,
I just joined, and although I have exposure to Python and the stock market, I have no idea how to code my plan. Can someone please help me out or point me in the right direction in how to learn? Also, is there a commission fee? Thank you.

Buy all stocks in Dow Jones, Nasdaq 100, and S&P 500 with at least a 100,000,000 Market cap, a 3.5 EPS, and P/E ratio less than 40. The beta must be greater than 0.85. Reweigh the stocks each week by their market cap. But if the stock goes down 5%, or goes up 10%, sell all of it, and do not include the stock in the future till one month since the selling date has passed.

2 responses

Welcome!

Having exposure to both Python and finance puts you ahead of the curve already. Instead of being a 'beginner trying to program complicated code' be a 'beginner programming simple code' the key difference there is in the latter you aren't trying you are doing. Writing-backtesting-writing-backtesting is a great way to build up your confidence and experience so that later you actually program your more complicated strategies. Check out my comment in this thread for a few resources to get started on Quantopian and with Python. Furthermore, if you fid yourself lacking on the finance look at my last reply in this thread.

It important to try hard and even struggle with your first algorithms, as the amount you can learn is huge. My suggestion from here: read up, write-backtest-repeat, and then when you have something interesting share it with the community and use peoples' feedback to make it even better

Happy Coding!

Disclaimer

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 Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian 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.

Adding on to what James said, here are some other resources to help you code the algo:

Buy all stocks in Dow Jones, Nasdaq 100, and S&P 500

Your algo is limited to trading 500 stocks, but you can mimic an index using fundamental data: https://www.quantopian.com/posts/simulating-s-and-p-500-russel-1000-russell-3000-in-research

at least a 100,000,000 Market cap, a 3.5 EPS, and P/E ratio less than 40

You'll want to use fundamental data to make this query. Here is an example.

The beta must be greater than 0.85

This is up to your algorithm design :)

Reweigh the stocks each week by their market cap

You can use order_target_percent to maintain the target weights.

if the stock goes down 5%, or goes up 10%, sell all of it, and do not include the stock in the future till one month since the selling date has passed.

Track the stock's price versus your fill price using the data object. And use schedule_function to set the days/times when to trade.

Once you're comfortable with the code and developing the guts of the algo, keep these algo writing tips in mind.

Cheers,
Alisa

Disclaimer

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 Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian 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.