Bitcoin-Color 4200: Candlestick Color Prediction Dataset Using Ichimoku Signals and Additional Features

The Bitcoin-Color 4200 dataset comprises 4,281 daily samples from the Bitcoin 24h chart between January, 2012 to July, 2023, created for a binary classification problem to predict the color of the next day’s candlestick—Red (price decrease) or Green (price increase). Each sample includes 28 input features, primarily derived from Ichimoku Clouds, such as the Conversion Line, Base Line, Leading Span A & B, and Lagging Span (Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, Chikou Span), alongside other suggested features. The output is a binary label indicating the predicted candlestick color, enabling machine learning models to forecast daily price movements. Candlestick color prediction is essential in trading and technical analysis, as it helps traders anticipate price direction, optimize strategies, and manage risk. The Ichimoku system, with its ability to capture trends, momentum, and key support/resistance zones, is central to this dataset, offering powerful insights into market behavior. By combining these signals with additional technical indicators, the dataset provides enhanced predictive capabilities, making it an excellent resource for research in financial forecasting, algorithmic trading, and cryptocurrency market analysis.Bitcoin-Color 4200数据集涵盖2012年1月至2023年7月期间比特币24小时行情图的4281条每日样本，专为预测次日K线颜色的二分类任务构建，目标为判断次日K线为红色（代表价格下跌）或绿色（代表价格上涨）。每条样本包含28个输入特征，主要衍生自一目均衡云图（Ichimoku Clouds），具体包括转换线（Conversion Line，即Tenkan-sen）、基准线（Base Line，即Kijun-sen）、先行带A与B（Senkou Span A & B）以及迟行带（Lagging Span，即Chikou Span），同时纳入其他推荐技术特征。输出为二分类标签，用于标识预测的K线颜色，可支撑机器学习模型实现每日价格走势预测。K线颜色预测在交易与技术分析领域具有核心价值，能够帮助交易者预判价格走向、优化交易策略并管控风险。一目均衡系统可捕捉市场趋势、动量以及关键支撑与阻力位，是本数据集的核心组成部分，可为市场行为分析提供强有力的洞见。通过将这些信号与其他技术指标相结合，本数据集具备更出色的预测性能，是金融预测、算法交易及加密货币市场分析领域研究的优质资源。