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  3. 2024CSIG-飞桨、工银瑞信金融科技挑战赛
Baidu AI StudioTime SeriesIntermediateRegistration unverified

2024CSIG-飞桨、工银瑞信金融科技挑战赛

A intermediate time series competition requiring roughly 10–30 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
10–30 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合在校大学生组成的团队,尤其是已有 Python、股票交易数据和计算机视觉经验的人。参赛队每队最多 5 人,且每队至少需要一位女性开发者;任务要求将交易数据绘制为适合视觉模型的自定义 K 线图,并进行股票排名预测。

Read the original official blurb
基于K线图的股票预测模型 Official tags: AI量化投资与可视化. Sign-ups: 544.

Preparation

From registration to a first submission

  1. 01

    Python 数据处理

  2. 02

    股票交易数据分析

  3. 03

    K线图构建

  4. 04

    计算机视觉建模

  5. 05

    时间序列防泄漏验证

  6. 06

    可复现代码与技术报告撰写

Before you commit: 难点不只是训练预测模型,而是在不能使用未来数据的前提下,把高开低收、成交量等交易数据设计成有效的自定义 K 线图,并在按周实盘验证中预测下一周排名。复赛还要求交付可完整复现的 Python 代码、依赖文件、Word 算法报告和 K 线图重绘策略,文档与图形策略也计入最终评分。

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
Baidu AI Studio
Last checked
Not recorded

Entry assessment

est.
55

Prepare before joining

Overall fit estimate

Beginner fit55/100
Learning value58/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

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

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Source page verifiedMetric confirmedReviewed
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.