股票市场数据集|价格预测数据集

该数据集为股票市场时间序列数据，包含价格预测与实际值对比、技术指标计算结果，按时间顺序排列，适用于股票价格分析与预测。数据规模为128个样本周期，源自公开网站，具有完整的时间序列结构。特点在于集成技术指标与预测对比信息，适合用于机器学习模型训练及量化交易策略开发，广泛应用于金融领域中的趋势预测与投资决策研究。

This dataset consists of stock market time series data, including comparisons between price predictions and actual values as well as calculation results of technical indicators, arranged in chronological order. It is suitable for stock price analysis and forecasting. The dataset has a scale of 128 sample cycles, is sourced from public websites, and features a complete time series structure. Its core characteristic lies in the integration of technical indicators and prediction-actual value comparison information, making it ideal for machine learning model training and quantitative trading strategy development, and widely applied to trend prediction and investment decision-making research in the financial sector.

搜集汇总

背景与挑战

背景概述

该数据集为股票市场时间序列数据，包含128个样本周期，涵盖价格预测与实际值对比、技术指标计算结果，适用于股票价格分析与预测。数据格式为parquet，总数量为121379行，源自公开网站，适合用于机器学习模型训练。