金融数据分析可视化

本次教学赛是陈博士发起的数据分析系列赛事第3场 —— 证券数据可视化分析

赛题以证券数据分析为背景，对股票价格、融资融券数据的日线、月线、K线进行探索。同时选手也可以探索量化交易的指标，比如采用MACD，KDJ指标等进行投资决策，计算投资策略的年化收益率，最大回撤等。

金融数据分析比赛的目的是为了更好地带动数据科学初学者一起玩起来，因此我们鼓励所有选手，基于赛题发表notebook分享，内容包含但不限于对赛题的理解、数据分析及可视化、算法模型的分析以及数据分析思路等内容。

This teaching competition is the 3rd installment of the data analysis series initiated by Dr. Chen, with the theme of securities data visualization and analysis.

The competition task is based on the background of securities data analysis, requiring participants to explore daily, monthly and candlestick chart data of stock prices and margin trading and securities lending records. Additionally, contestants can also explore quantitative trading indicators, such as using MACD, KDJ and other indicators to make investment decisions, and calculate metrics including the annualized return rate and maximum drawdown of investment strategies.

The purpose of this financial data analysis competition is to better engage and involve beginners in data science. Therefore, all contestants are encouraged to share their notebooks based on the competition task, with content including but not limited to their understanding of the competition task, data analysis and visualization, analysis of algorithmic models, and data analysis ideas.

搜集汇总

背景与挑战

背景概述

该数据集为证券数据可视化分析教学赛提供支持，包含股票价格和融资融券的日线、月线等数据，旨在帮助初学者探索量化交易指标并分享分析成果。