Beginner score
55/100
Competition workspace
适合在校大学生组队参加，且队伍中至少有一位女性开发者。参赛者需要能用 Python 处理股票交易数据，并将自定义 K 线图或像素图输入计算机视觉模型，完成股票排名预测；对实盘周度预测和完整复现材料有准备的人更合适。
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…
适合在校大学生组队参加，且队伍中至少有一位女性开发者。参赛者需要能用 Python 处理股票交易数据，并将自定义 K 线图或像素图输入计算机视觉模型，完成股票排名预测；对实盘周度预测和完整复现材料有准备的人更合适。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
Python 编程
股票 OHLCV 数据处理
K线图构建
计算机视觉模型
股票截面排序预测
可复现代码打包
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是预测排名，而是在每周给定最近交易特征后、下周开盘前完成实盘预测，同时避免任何未来数据泄漏。成绩还取决于可解释且可复现的 K 线图重绘方案、算法报告和完整代码，而非仅靠预测文件。
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.