Kaylah072001/Stock_Graphs_Dataset

该数据集对于以下方面具有重要价值：训练机器学习模型以自动识别市场趋势、教育金融学生进行模式识别、辅助交易者做出明智决策、进行股票市场行为和趋势分析研究。数据集结构包括图像数据（可能是PNG或JPEG格式，大小可能标准化为150x150像素，通道为3（RGB）或1（灰度）），内容为表示股票价格走势的蜡烛图。标签为二进制分类：0表示看跌，1表示看涨，与相应的图像一起存储。数据集分为训练集、验证集和测试集。数据来源为yfinance开源API。

This dataset contains graphs of bullish and bearish stock data, primarily used for training machine learning models to automatically identify market trends, educating finance students on pattern recognition, assisting traders in making informed decisions, and conducting research on stock market behavior and trend analysis. The dataset structure includes image data (likely in PNG or JPEG format, possibly standardized at 150x150 pixels, RGB or grayscale), binary classification labels (0 for bearish, 1 for bullish), and dataset splits (training set, validation set, and test set). The data source is the yfinance open-source API.