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help: how to write the Algorithms from the Zero but know little python...?
Arlen Yuan
posted
Getting Started

greeting!

I'm fresh here, in the past few days, I can easily use ipython note to get things in the Research mode, also I knew a little python, and pandas and matplotlib. But I really confused in the Algorithms mode..... I'm very agony with the 'def rebalance... def before_trading_start.... and context.this.... context.that..... ,balabalabala.....', these are too much var between different def.... it's so hard to read for me .... : (

pls... only me have this experience? I will be very grateful to anyone can advising....

3 responses
Jamie McCorriston

Hi Arlen,

I'm glad to hear you have had some success in Research mode. If you are having trouble getting started in the Algorithm development environment, don't worry, you are not the first! To help you out, you might like to check out the Quantopian Tutorial Series. This should help you get started.

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.

Arlen Yuan

Thx Jamie,

Very helpful response,after I tried to learned in these couple days... for better sincerely reply. It did help me a lot to know more about algorithms mode, except for the tiny writing mistake on the docs update processing maybe... anyway, it was really helpful. thanks a lot~!

for the further inquire, I like pandas because it's easily help me to control the df, such as slice, calculating.... and more convenient way is I can command and output my results immediately to judge the right and wrong.....BUT in fetch_csv is really like docs said: a beast of its own. for me it was hard to figured out where is my fault...especially my csv has many columns for correlation calculating and function using, could you give me any advice on control my fetch_csv dataframe in a visualize mode ??? It will be very helpfully for a fresher amateur quants .... :)

Jamie McCorriston

If you are having trouble with fetch_csv, I would suggest you take a look at the overview and the example of Fetcher in our help docs. If you are still stuck after going through these, I encourage you to share a version of your code on the forum or reach out to us through [email protected] so that we can help you find the specific problem!

Unfortunately we do no offer any sort of visual mode to look through your dataframes, but if you use our debugger (breakpoints + build algorithm button), you can inspect variables at different points of your code which would give you a textual glimpse of the dataframe at a given 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 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.