Visualizing DARWIN Filters | Algorithmic Trading & Investing with the DARWIN API
7Welcome 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-visualize-darwin-filters
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In this tutorial, we demonstrate in Python 3, how to:
1) Put together everything we've learnt in previous tutorials and engineer a script to visualize DARWIN filters algorithmically.
2) Call the DARWIN Info API to get filtered DARWINs, and Quotes for the same.
3) Create a stack of Plotly Scatter objects from DARWIN filters.
4) Create a Plotly dropdown menu to hold each DARWIN filter and trigger corresponding datasets accordingly.
6) Render all datasets generated via DARWIN filters on one single Plotly Scatter Chart.
5) Distinguish between using filters for trading and backtesting, and considerations therein from an algorithmic trading perspective.
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 #backtesting #timeseriesanalysis #darwinapi #darwinex #darwininfoapi #darwinquotes #darwinreturns #darwinscores #darwininvestmentattributes