ChavyvAkvar/AlphaTrade-GRPO-dataset

该数据集包含了一百万个模拟场景的参数，分为两类：garch模型参数和交易相关的先验信息。garch模型参数包括alpha、beta、eta等，而交易相关的先验信息包括滑点百分比、初始资金、杠杆借贷年费率等。数据集仅包含训练集，共有100万个示例。The dataset contains parameters for one million synthetic scenarios, divided into two categories: GARCH model parameters and prior trading information. The GARCH model parameters include alpha, beta, eta, etc., while the trading-related prior information includes slippage percentage, initial funds, annual borrowing rate for leverage, etc. The dataset consists only of a training set with one million examples.