infinite-dataset-hub/InsiderTradingDetectionModel

内幕交易检测模型数据集包含了表格形式的金融交易数据，这些数据可用于训练机器学习模型，以识别可能表明内幕交易的异常交易模式。数据集中的每一行代表与特定股票相关的交易集，包含了交易日期、股票代码、交易量、价格、账户ID、交易员姓名、交易类型、交易时间、价格变动百分比、市场事件描述以及标签，标签为二进制形式，表示交易是否正常（0）或可能表明内幕交易（1）。

The InsiderTradingDetectionModel dataset contains tabular financial transaction data that can be used to train machine learning models to detect anomalous trading patterns indicative of insider trading. Each row in the dataset represents a set of transactions associated with a particular stock, including columns for the transaction date, stock ticker, volume, price, account ID, traders name, type of trade, transaction time, percentage change in price, description of concurrent market events, and a binary label indicating whether the transaction is normal (0) or potentially indicative of insider trading (1).