get data as vector instead of scalar?

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get data as vector instead of scalar?

posted

Is there any way to replace code like this:

for k,stock in enumerate(context.stocks):  
        prices[-1,k] = data[stock].price

with code that would pull in all of the data as a vector, from the object data? Note that I'm using this code in before_trading_start so history is not officially supported.

The loop works, but it is kinda inelegant, and maybe inefficient if the data can be retrieved as a vector.

2 responses

Something like

prices[-1,:] = [data[stk].price for stk in context.stocks]

will work, but might not be more efficient.

+1 this would be a decent option instead of the regular data arg.

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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.