Coding Algorithmic DARWIN Filters | Algorithmic Trading & Investing with the DARWIN API
9Welcome to the DARWIN API - your algorithmic gateway to the Darwinex Community Dataset - brought to you by Darwinex: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=darwin-api-algorithmic-darwin-filters
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Risk Disclosure:
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In this tutorial, we demonstrate in Python 3, how to:
1) Build algorithmic filters by calling the DarwinInfoAPI's /products POST endpoint with investment/performance criteria in terms of return, drawdown, length of track record, investment attributes and more!
2) Iteratively download all DARWIN assets that satisfy your algorithmic filters until the endpoint is exhausted of response data.
3) Consider when to use the /products POST endpoing in this way, differences between its use in backtesting vs trading (very important!)
4) How to avoid survivorship bias in DARWIN Portfolio Backtesting.
HANDS-ON learning with source code examples provided during the tutorial.
Source code on GitHub:
https://github.com/darwinex/darwin-api-tutorials
Enjoy!
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Topics: #algorithmictrading #timeseriesanalysis #darwinapi #darwinex #darwininfoapi #darwinquotes #darwinreturns #darwinscores #darwininvestmentattributes