I am doing a ma-crossover model that purchases stocks when the RSI is under 14. It hits a point and then the algorithm stops making any transactions. Not sure if it is the code. I am currently back testing in daily mode.
I am doing a ma-crossover model that purchases stocks when the RSI is under 14. It hits a point and then the algorithm stops making any transactions. Not sure if it is the code. I am currently back testing in daily mode.
Quantdog,
Line 31 is
purchase=1/count
but count
is an integer, so with integer division you either have 1/1 = 1, or 1/(any number bigger than 1)=0
Replace with purchase=1.0/count
and you're sorted.
@ Quantdog
Just to add onto James's suggestion. If you do
from __future__ import division
all division operations will be floating point whether you add the decimal or not. See the Python docs for detailed reasoning.
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So in your code you are never actually selling any stocks, you are just buying and buying. All of your order_target_percent
s set to zero are placing orders for stocks you don't even own to zero, so they are fairly pointless. I'd encourage you to come up with an exit strategy for positions you take, e.g. sell when the stock is overbought, this will give you an actual strategy to work with.
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.