然后我们来看下hyper-agent是这个什么情况,关于agent的定义其实总体架构跟subagent 差不多,总体差别其实就是forward output 的时候hyper-agent return的是一个weight 权重的概率分布:[w_1, w_2, ..., w_6] (我们有6个sub-agent 分别学习trading strategy) 我们重点来看下是如何实现hyper-agent 结合 sub-agent ...
plus, another positive step for wells fargo march 18, 2025 cnbc.com cramer's stop trading: ralph lauren march 18, 2025 cnbc.com there is very little conviction behind this stock market bounce march 18, 2025 cnbc.com content from our affiliates goldman sachs pounds the table on 2 quality ...
RL4StockTrading 使用深度强化学习进行股票交易 (0)踩踩(0) 所需:1积分 LSTM 2025-03-12 22:56:43 积分:1 stock_market 2025-03-12 22:55:59 积分:1 memi-schema 2025-03-12 22:49:24 积分:1 memi-schema 2025-03-12 22:48:38 积分:1 ...
classStockTradingEnv:...defget_state(self):state=np.hstack((np.array(self.amount*2**-16),# 智能体账户中可用的现金额度self.shares*2**-9,# 智能体持有的股票数量self.close_ary[self.day]*2**-7,# close price,在T时刻多只股票的历史交易价格self.tech_ary[self.day]*2**-6,))# technical...
股票Gym 环境主要参考 Stock-Trading-Environment,对观测状态、奖励函数和训练集做了修改。 俺完全是股票没入门的新手,难免存在错误,欢迎指正! 数据和方法皆来源于网络,无法保证有效性,Just For Fun! 📚 参考资料 Y. Deng, F. Bao, Y. Kong, Z. Ren and Q. Dai, "Deep Direct Reinforcement Learning for...
plus, another positive step for wells fargo march 18, 2025 cnbc.com cramer's stop trading: ralph lauren march 18, 2025 cnbc.com there is very little conviction behind this stock market bounce march 18, 2025 cnbc.com content from our affiliates goldman sachs pounds the table on 2 quality ...
股票Gym 环境主要参考 Stock-Trading-Environment,对观测状态、奖励函数和训练集做了修改。 俺完全是股票没入门的新手,难免存在错误,欢迎指正! 数据和方法皆来源于网络,无法保证有效性,Just For Fun!📚 参考资料Y. Deng, F. Bao, Y. Kong, Z. Ren and Q. Dai, "Deep Direct Reinforcement Learning for ...
>>pythonget_stock_data.py 将过去 20 多年的股票数据划分为训练集,和末尾 1 个月数据作为测试集,来验证强化学习策略的有效性。划分如下 1990-01-01~2019-11-292019-12-01~2019-12-31 训练集测试集 验证结果 单只股票 初始本金10000 股票代码:sh.600036(招商银行) ...
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TheInsider Tradespage provides details of trading activity by individuals who may have non-public information the company. The page initially shows all insider trading recorded for the symbol, with the option to filter by a specific transaction date range, transaction type, or dollar amount of the...