此次反弹的时空目标(何时何价)

本文模拟了股市反弹的可能运行路线,并给出了时间和空间目标预测。强调了指数不能有效突破通道上下轨道线的重要性,同时提供了操作策略建议。

????下图是此次反弹的运行路线模拟图(一种可能性),时间和空间目标都标识在图中,看图说话.

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????补充说明:上图成立的前提条件是指数不能有效突破通道的上下轨道线.图中没有12月17日之后的走势模拟图,主要考虑是届时反弹可能已经结束(2342附近的误差+-15个点可以接受).如果届时市场很强势(调整不破通道下轨线),那么市场还有可能再上涨一波行情,时空目标是:12月26日或31日见2681.

?

????操作策略:可以采用相对大的波段操作策略,"重板块和个股(主流板块和龙头股的把握),轻指数(在大盘进入比较级别的上升周期后)"?.?具体操作可以参考上图的时空目标和其他技术信号,制定具体的操作计划.?

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???? 声明:本博客内容仅代表本人的观点,只做参考并不构成操作建议,据此买卖者,风险自担!

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【电动汽车充电站有序充电调度的分散式优化】基于蒙特卡诺和拉格朗日的电动汽车优化调度(分时电价调度)(Matlab代码实现)内容概要:本文介绍了基于蒙特卡洛和拉格朗日方法的电动汽车充电站有序充电调度优化方案,重点在于采用分散式优化策略应对分时电价机制下的充电需求管理。通过构建数学模型,结合不确定性因素如用户充电行为和电网负荷波动,利用蒙特卡洛模拟生成大量场景,并运用拉格朗日松弛法对复杂问题进行分解求解,从而实现全局最优或近似最优的充电调度计划。该方法有效降低了电网峰值负荷压力,提升了充电站运营效率与经济效益,同时兼顾用户充电便利性。 适合人群:具备一定电力系统、优化算法和Matlab编程基础的高校研究生、科研人员及从事智能电网、电动汽车相关领域的工程技术人员。 使用场景及目标:①应用于电动汽车充电站的日常运营管理,优化充电负荷分布;②服务于城市智能交通系统规划,提升电网与交通系统的协同水平;③作为学术研究案例,用于验证分散式优化算法在复杂能源系统中的有效性。 阅读建议:建议读者结合Matlab代码实现部分,深入理解蒙特卡洛模拟与拉格朗日松弛法的具体实施步骤,重点关注场景生成、约束处理与迭代收敛过程,以便在实际项目中灵活应用与改进。
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