"Anchored Moving Average" 标识
指标
90 下载
版本 1.0, Nov 2025
Windows 版、Mac 版
5.0
评价:2
"Anchored Moving Average" 已上传图片
"Anchored Moving Average" 已上传图片
"Anchored Moving Average" 已上传图片
"Anchored Moving Average" 已上传图片
"Anchored Moving Average" 已上传图片
注册日期 20/12/2024
7.15K
免费安装

将移动平均计算锁定在任何市场时刻,并随着其向前延伸跟踪价格行为。


将计算固定在您选择的起点(手动日期时间或从1小时到10年的回溯期),然后根据实际价格范围自然增长,采用自适应斐波那契带。

八个斐波那契水平(11.4%至100%)适应真实价格变动,内置38.2%-62.8%均值回归区,双重MA类型(SMA/EMA),多种显示模式(完整带、仅极限边界、仅回归区),以及长时间框架的最大周期限制,为交易者提供基于事件的动量跟踪,针对重要波动点的回撤和事件后价格行为分析。


功能特点


时间锚定计算

  • 不同于使用固定周期的标准移动平均线,此指标从您选择的起点自然增长
  • 灵活锚定:设置手动日期时间或使用预定义的回溯期(1小时至10年)
  • 跟踪重要市场时刻的动量
  • 不同时间框架下保持一致的锚点


自适应斐波那契带

  • 基于实际价格范围自动计算的带,而非任意ATR倍数
  • 8个斐波那契水平(11.4%至100%)适应真实价格变动
  • 均值回归区:内置38.2%-62.8%回归区,提供高概率入场区域
  • 数学定义的概率区域


两种移动平均类型

  • 简单移动平均线
  • 指数移动平均线
  • 最大周期限制:防止长时间框架上的过度平滑


多种显示模式

  • 完整带:显示所有斐波那契水平
  • 仅上下边界:显示极限边界
  • 仅回归区:聚焦均值回归区域
  • 简洁且有目的的设计,无杂乱


基于事件的分析

  • 查看当前价格与重要水平变动的关系
  • 跟踪事件后的价格行为
  • 基于结构的入场,具有明确的参考点


__________________________________________________________________________________________


更多免费指标


探索广泛的市场分析工具——从结构和成交量到回归、波动率及自定义时间框架。

源代码可在GitHub 仓库获取。

全部免费使用。但如果您愿意支持咖啡费用,可以通过 这里捐助。


支撑/阻力


成交量


移动平均线


实用工具/自定义


基于回归


波动率


振荡器


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免责声明

交易存在风险。此指标仅用于技术分析——请始终应用适当的风险管理并负责任地交易。


反馈与改进

如果您有建议、功能请求或改进想法,请在讨论标签中留言。您的反馈有助于为所有人改进此指标。

指标配置
5.0
评价:2
5
100 %
4
0 %
3
0 %
2
0 %
1
0 %
客户评价
May 3, 2026
This tool provides a professional edge by pinning momentum analysis to specific market events. Unlike static averages, its bands adapt to actual price range via eight Fibonacci levels, creating a mathematically sound mean reversion zone ($38.2\%–62.8\%$). With flexible anchoring and multiple display modes, it’s a premier solution for tracking post-event behavior and high-probability structural entries.
December 1, 2025
Anchored Moving Average draws a custom-started MA from a point you choose - perfect for tracking price reaction after events, breakouts, or entry points. Lightweight, stable, and flexible. Useful for structure, retests, and dynamic S/R levels. Alerts for crossovers would make it even better.
Fibonacci
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注册日期 20/12/2024
7.15K
免费安装