trading_evolved
Unverified Other strategy on Multi by hsm207. BotFinder score 18 out of 100.
Code from the Trading Evolved book
Source: github
BotFinder analysis pending.
trading_evolved
Introduction This repository contains the code from the book Trading Evolved: Anyone Can Build Killer Trading Strategies In Python by Andreas F. Clenow. Why? The goal of this repository is to make it easy for traders who are not software developers and/or Python programmers to get started experimenting with the code in the book. Readers do not have to worry about installing or patching zipline. Prerequisites Download and install the following software: 1. Docker Desktop 2. VS Code Usage 1. Create an image for zipline. In a terminal, execute: 2. Clone this project. 3. Open devcontainer.json and replace the value of QUANDLAPIKEY with your own API key (line 33). Click here for details on how to retrieve your Quandle API key. 4. In VS Code, open this project's root directory in a container defined by Dockerfile. 5. When inside the container, execute jupyter notebook --allow-root to start viewing the notebooks. 6. To ingest the quandl bundle, refer to the 01getquandldata notebook, Useful Resources VS Code: How To Open A Folder Inside A Container
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