How to include day's opening price?

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How to include day's opening price?

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Seeking Help Getting Started

Hey everyone, I am working on developing an algorithm to purchase shares of a stock if it falls 1% or so from the opening price. However, when coding, I am not really sure how to define this. I want to create a variable called "open_price" so that I can then define a variable "buy_price" as "open_price * 0.99", however I am not sure how to format that using data history when coding... Any help? My code so far is included below:

current_price = data.current('SPY', "price")  
open_price = data.history(context.security, "open", 1, "1d")  
current_positions = context.portfolio.positions[symbol('SPY')].amount  
cash = context.portfolio.cash  
buy_enter = (open_price * 0.99)


if (current_price <=buy_enter) and current_positions == 0:  
    number_of_shares = int(cash/current_price)  
    order(context.security, number_of_shares)

1 response

Greg,
This might help get you started.
Calculates the open price for the Q500 and puts in a limit order at 99% of the open for 100 shares for all 500 stocks.
If the price falls below the limit price during the day the order would be filled at the market price.
The algo liquidates all holdings at the end of the day.

I think limit orders would be better for what you are trying to do, rather than trying to monitor the price yourself and constantly update.
Pipeline also allows you to have a much larger universe of stocks. I used the Q500 filter for simplicity, but you can create your own filter or select individual stocks with the pipeline as well.
Hopefully this gives you a start.

Best,
Cory

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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.