Support/Resistance DBSCAN

14 thg 4, 2022

Hello, my friends. This is a new version of the support and resistance indicator implemented by the fast clustering algorithm DBSCAN

(1) Indicator description

• The indicator clusters key top and bottom points in the historical K-line to find support and resistance areas with a high probability of occurrence
  
• The clustering algorithm used for this indicator is the density-based fast clustering algorithm DBSCAN
  
• The minimum unit of support and resistance found by this indicator is the core region, i.e., the key top and bottom points that frequently occur within a certain price range
  
• Core regions may be superimposed on the chart. The more they are superimposed, the stronger possibility of support and resistance
  
• The clustering algorithm does not work for all markets, so you need to adjust the parameters to suit different markets and timeframe
  

(2) Key parameters
- Support/Resistance Clustering

• Pivot Lookback Period: Number of K-lines to look back left/right from the pivot top/bottom
  
• Max of Lookback Forward: The maximum number of historical K-lines
  
• Min Strength of Clustering Core: Minimum strength of the clustered core region, the higher the strength, the smaller the core region
  
• Min Points of Clustering Core: Minimum number of clustering points in the core region of clustering
  

(3) Script description

• Due to some circumstances that I don't want to see, subsequent scripts will not be open source, but you can still use the script for free. Thanks for your understanding and support!
  
• If you have any suggestions or comments about the script, please feel free to leave your comments!
  

Happy trading, and enjoy your life!

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各位朋友大家好，这是一个全新的基于快速聚类算法DBSCAN的支撑压力位指标

(1) 指标说明

• 该指标通过对历史K线中的关键顶底点进行聚类，查找大概率出现的支撑和压力区间
  
• 该指标采用的聚类算法为基于密度的快速聚类算法 DBSCAN
  
• 该指标找到的支撑压力的最小单位为核心区间，即在一定价格范围内频繁出现的关键顶底点
  
• 核心区间可能会在图表上叠加，叠加越多，支持和压力的可能性越强
  
• 聚类算法不适用于所有的市场，因此需要您调整参数以适应不同的市场和时间周期
  

(2) 关键参数
- Support/Resistance Clustering

• Pivot Lookback Period: 枢纽顶/底点往左/右回顾的 K线 数量
  
• Max of Lookback Forward: 回顾历史 K线 的最大数量
  
• Min Strength of Clustering Core: 聚类核心区间的最小强度，强度越大，区间越小
  
• Min Points of Clustering Core: 聚类核心区间的最小聚类点数量
  

(3) 脚本说明

• 因为出现了一些我不希望看到的情况，后续的脚本将不再开源代码，但是您依然可以免费使用该脚本，感谢理解和支持！
  
• 如果您存在对于该脚本的使用建议或者意见，欢迎各位留言！
  

祝大家交易愉快