【教学赛】金融数据分析赛题3：证券数据可视化分析 数据集

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 educational competition is the 3rd event in the data analysis series initiated by Dr. Chen, themed on securities data visualization and analysis. The competition is based on the background of securities data analysis, requiring participants to explore daily, monthly and K-line data of stock prices and margin trading data. Additionally, contestants can also explore quantitative trading indicators; for example, they can use indicators such as MACD and KDJ to make investment decisions, and calculate the annualized return rate, maximum drawdown and other metrics of investment strategies. The goal of this financial data analysis competition is to better engage and guide beginners in data science to participate. Therefore, all contestants are encouraged to publish notebook shares based on the competition topic, which may include but are not limited to understanding of the competition topic, data analysis and visualization, analysis of algorithm models, and data analysis ideas and other relevant contents.

搜集汇总

背景与挑战

背景概述

该数据集为金融数据分析教学赛的证券数据可视化分析赛题，包含股票价格、融资融券数据的日线、月线、K线等信息，旨在促进数据科学初学者进行数据分析和可视化探索。