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Chris Jay
posted

This has probably been asked before, so I apologize in advance if I'm replicating a previous question. I have been doing research, and have read that best practice for becoming a successful quant trader is to build your own trading architecture (everything from backtester to platform for trade execution). I would like to do this in Python as I am familiar (but far from expert) with the language, but do not even know where to start. Any recommendations for a good beginner's guide on 1) what different elements make up a full service backtesting and trading architecture, and 2) how to go about coding one in Python?

Any and all advice is greatly appreciated!

1 response
Jamie McCorriston

Hi Chris,

Have you explored the Quantopian API yet? We have infrastructure for backtesting and live trading as well as free US equity pricing + fundamental data. We also have several other partner datasets available natively (some free, some premium). You can read more in our documentation or learn the basics of the API with the Getting Started Tutorial. It's all done in Python.

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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.