1.12) Using Docker to Deploy Quant Portfolio Management Apps | The Mendel Framework
This video describes how to use Docker in production deployments to setup quantitative trading strategies created in Python. We will briefly talk about its inner workings, direct you to other more complete resources and explore its uses with Mendel Framework architecture. Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange where Traders can legally attract Investor Capital and charge Performance Fees: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=ez-olps-mlfinlab-mendel-framework-1-12 Links: Mendel Framework - GitHub repository: https://github.com/darwinex/mendel-framework ----------------------- IMPORTANT REQUEST: Please please please.. if you find this content useful, please do consider liking and sharing it on YouTube, Twitter, Facebook, LinkedIn, and whatever other social networks you have circles in. Darwinex relies almost exclusively on organic growth, primarily through recommendation via informative content. YouTube’s algorithms measure the quality of Darwinex content on the basis of: - Reach - Engagement - and several other related variables With seemingly small actions such as: - Clicking the Like button - Clicking the Subscribe button - Clicking the Share button (on YouTube) and distributing our content - etc … YOU inform YouTube’s algorithms of your sentiment towards Darwinex, thereby directly helping Darwinex MASSIVELY in achieving organic growth. Thank you very much for your kind consideration! ----------------------- Risk disclosure: https://www.darwinex.com/legal/risk-disclaimer ** Fancy joining a vibrant community of algorithmic traders, quants and data scientists focused on financial hacking? Join the Darwinex Collective Slack Workspace: https://join.slack.com/t/darwinex-collective/shared_invite/enQtNjg4MjA0ODUzODkyLWFiZWZlMDZjNGVmOGE2ZDBiZGI4ZWUxNjM5YTU0MjZkMTQ2NGZjNGIyN2QxZDY4NjUyZmVlNmU3N2E2NGE1Mjk #QuantTrading #PortfolioManagement #TradingStrategy #QuantitativeFinance
This video describes how to use Docker in production deployments to setup quantitative trading strategies created in Python. We will briefly talk about its inner workings, direct you to other more complete resources and explore its uses with Mendel Framework architecture. Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange where Traders can legally attract Investor Capital and charge Performance Fees: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=ez-olps-mlfinlab-mendel-framework-1-12 Links: Mendel Framework - GitHub repository: https://github.com/darwinex/mendel-framework ----------------------- IMPORTANT REQUEST: Please please please.. if you find this content useful, please do consider liking and sharing it on YouTube, Twitter, Facebook, LinkedIn, and whatever other social networks you have circles in. Darwinex relies almost exclusively on organic growth, primarily through recommendation via informative content. YouTube’s algorithms measure the quality of Darwinex content on the basis of: - Reach - Engagement - and several other related variables With seemingly small actions such as: - Clicking the Like button - Clicking the Subscribe button - Clicking the Share button (on YouTube) and distributing our content - etc … YOU inform YouTube’s algorithms of your sentiment towards Darwinex, thereby directly helping Darwinex MASSIVELY in achieving organic growth. Thank you very much for your kind consideration! ----------------------- Risk disclosure: https://www.darwinex.com/legal/risk-disclaimer ** Fancy joining a vibrant community of algorithmic traders, quants and data scientists focused on financial hacking? Join the Darwinex Collective Slack Workspace: https://join.slack.com/t/darwinex-collective/shared_invite/enQtNjg4MjA0ODUzODkyLWFiZWZlMDZjNGVmOGE2ZDBiZGI4ZWUxNjM5YTU0MjZkMTQ2NGZjNGIyN2QxZDY4NjUyZmVlNmU3N2E2NGE1Mjk #QuantTrading #PortfolioManagement #TradingStrategy #QuantitativeFinance