Beginner score
55/100
Competition workspace
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。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
55/100
Learning value
58/100
Estimated effort
10-30 hours
Metric
Official scoring is published on the Ba…
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。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
Python 数据处理
股票交易数据分析
K线图构建
计算机视觉建模
时间序列防泄漏验证
可复现代码与技术报告撰写
The real friction is usually not library usage. It is validation, time allocation, and task framing.
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。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.