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Trading product for Clustering 指标 Indices RSI, image 1
Clustering
指标
版本 1.0, Mar 2025
Windows 版、Mac 版
评价:3
Trading product for Clustering 指标 Indices RSI, image 2
Trading product for Clustering 指标 Indices RSI, image 3
注册日期 21/12/2024

说明

聚类指标


概述

聚类指标是一个强大的工具,旨在帮助交易者识别市场数据中的模式、趋势和异常。通过将相似的数据点分组为簇,该指标提供了有价值的见解,可用于做出明智的交易决策。


功能

 - 聚类算法:利用先进的聚类算法,如K均值和高斯混合模型(GMM),有效地对市场数据进行分段。

 - 特征集:提供多种特征集,包括原始价格、布林带、相对强弱指数(RSI)、随机振荡器、布林带和RSI,以及这些指标的组合,以捕捉市场行为的不同方面。

 - 动态聚类:自动确定最佳簇数,确保聚类尽可能准确。

 - 可视化:在图表上直接提供清晰的簇移动和波动性视觉洞察。


参数

 - 聚类算法:在K均值或高斯混合模型(GMM)之间选择,以最佳适应您的交易策略。

 - 特征集:从原始价格、布林带、RSI、随机振荡器、布林带和RSI,或包含各种指标的完整市场数据集中选择。

 - 窗口:定义每个数据点考虑的柱数。

 - 自动K值:根据您的数据自动确定簇的数量。

 - 初始K值:如果禁用自动K值,设置初始簇数。

 - 最大历史柱数:限制用于聚类的最大历史柱数。如果设置为0,则使用所有可用柱。

 - 按簇着色:启用或禁用基于实际簇分配的图表重新着色。

 - 显示洞察:在图表上直接显示每个簇的详细洞察。

 - 显示指标:显示特征集中使用的指标。



自动适应参数

 - 自动适应:启用或禁用自动适应模式,允许指标根据指定条件重新初始化簇。

 - 自动适应小时:自动适应可以发生的小时(0-23)。

 - 自动适应周期:自上次适应以来必须经过的最少小时数,才能进行下一次适应。


特征集参数

布林带参数

 - 周期:计算布林带的周期。

 - 偏差:布林带的标准差乘数。

 - 移动平均类型:布林带计算中使用的移动平均类型(简单、指数等)。


相对强弱指数(RSI)参数

 - 周期:计算RSI的周期。


随机振荡器参数

 - 周期:随机振荡器的K周期。

 - K减速:随机振荡器的K减速因子。

 - D周期:随机振荡器的D周期。

 - 移动平均类型:随机振荡器计算中使用的移动平均类型(简单、指数等)。

 - 计算类型:随机振荡器的计算类型(LowHigh、CloseClose等)。


使用方法

 1. 将聚类指标添加到您的图表中。

 2. 根据您的交易策略配置参数。

 3. 分析图表上的簇及其移动。

 4. 利用指标提供的洞察做出明智的交易决策。

摘要

AI 摘要
The Clustering Indicator is a technical analysis tool that helps traders identify patterns, trends, and anomalies in market data by grouping similar data points into clusters. It employs advanced clustering algorithms such as K-Means and Gaussian Mixture Model (GMM) to segment market data effectively. Users can select from various feature sets including Raw Price, Bollinger Bands, Relative Strength Index (RSI), Stochastic Oscillator, and combinations thereof to capture different market behaviors.

Key functionalities include dynamic clustering, which automatically determines the optimal number of clusters for accuracy, and visualization features that display cluster movements and volatility directly on the chart. The indicator offers configurable parameters such as clustering algorithm choice, feature set selection, window size for data points, cluster count settings (auto or manual), and options to color the chart by clusters or show detailed cluster insights.

Additional parameters allow for auto-adaptation, enabling the indicator to reinitialize clusters based on specified time conditions. Feature-specific settings for Bollinger Bands, RSI, and Stochastic Oscillator are also available to fine-tune calculations.

To use, add the indicator to a chart, configure parameters according to your strategy, analyze cluster patterns visually, and apply the insights to inform trading decisions. The indicator supports analysis of indices and momentum indicators like RSI and Bollinger Bands.
指标配置

客户评价

4.6
评价:3
5
67 %
4
33 %
3
0 %
2
0 %
1
0 %
客户评价
March 14, 2025
The quieter benefit is the decision feels less rushed. The market context still matters.
March 14, 2025
Weak ideas are easier to skip, but bad settings can ruin the idea.
March 8, 2025
Demo first, then maybe small size if the notes look sane. It should stay in the support stack.

讨论

常见问答

Indices
RSI
Bollinger
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价格

注册日期 21/12/2024