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  3. 【教学赛】金融数据分析赛题3:证券数据可视化分析
TianchiTabularBeginnerRegistration unverified

【教学赛】金融数据分析赛题3:证券数据可视化分析

A beginner tabular competition requiring roughly 8–20 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
8–20 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Learners who want Chinese-language Tianchi practice or daily learning style challenges.

Read the original official blurb
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。 Official category: Daily Learning Competition (日常学习赛). Official tags: ‌金融. Teams entered: 1882.

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    pandas

  3. 03

    train/validation split

Before you commit: Even learning-oriented Tianchi races can still punish weak validation or misunderstanding of submission rules.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Tianchi
Last checked
Jun 21, 2022

Entry assessment

est.
78

Worth shortlisting

Overall fit estimate

Beginner fit78/100
Learning value82/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Competition ends
Mar 30, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jun 21, 2022
Published on this site
Jul 18, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified on the competition page.

This record is a track under a Tianchi series competition; prize amounts may be series-level totals.