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Name: WebClinic
Type: User
Name: WebClinic
Type: User
基于 vnpy 二次开发项目
Welcome aboard! Let's sail around the Data Science World!
JPMorgan Chase has traders in all the major financial centers and creates a marketplace for asset classes around the globe for our investor clients. Trading teams are organized by asset class: Equities (stocks) Commodities Credit (debt and bonds) Currency & Emerging Markets Public Finance (Government bonds) Interest rates Securitized Products For this project, a trader from the equities team (publicly listed company stocks) has requested functionality be added to their dashboard to allow them to input specific information so they can monitor a new trading strategy. In order to do this, you’ll need to set up your system so you can interface with the relevant financial data feed, make the required calculations and then present this in a way that allows the traders to visualize and analyze this data in real time. The visualization of charts and data analysis our trader’s see is all built on JPMorgan Chase's own open sourced software called Perspective. You’ll learn how to implement this to facilitate the trader’s requested changes and deliver actionable insights. You’ll have to gain an understanding of the user requirements and then build something that meets those requirements. 1: Interface with a stock price data feed Interface with a stock price data feed and set up your system for analysis of the data Financial Data Python Git Basic Programming 2: Use JPMorgan Chase frameworks and tools Implement the Perspective open source code in preparation for data visualization React Typescript Web Applications 3: Display data visually for traders Use Perspective to create the chart for the trader’s dashboard Technical Communication Financial Analysis Web Applications
Added functionality to the trader's dashboard to monitor any historically correlated stocks and visualize when the correlation weakens. Indicating and alerting traders about a potential trade strategy to simultaneously buy the relatively underperforming stock and sell the relatively outperforming stock.
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