OPEN-SOURCE SCRIPT
On Balance Volume wi Normalization (OSC)

Hello everyone, I'm sorry that the previous open-source version was hidden due to the house rules, I've re-edited the description and re-posted it
(1) Indicator introduction
(2) Parameter introduction
- Normalized On Balance Volume
- Normalized On Balance Volume Divergence
Happy trading and enjoy your life!
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各位朋友大家好,很抱歉之前的开源版本因为规则原因被隐藏,我已经重新编辑了说明并重新发布
(1) 指标说明
(2) 参数说明
- Normalized On Balance Volume
- Normalized On Balance Volume Divergence
祝大家交易愉快
(1) Indicator introduction
- This indicator is a normalized OBV that never dulls and has a better divergence accuracy than RSI
- This indicator is plotted on the Normalized OBV and can display the divergence locations and corresponding divergence intensity
- The tolerance of N Klines at the top or bottom positions for price and indicator is supported, which is set by the "Tolerant Kline Number"
- Support the display of divergence intensity, that is, the REG/HID value displayed on the label, which is less than 0. The smaller the intensity value, the more obvious divergence
- Support the filtering of divergence intensity, which is set by "Cov Threshold". The divergence that REG/HID divergence intensity greater than this value will be ignored
- In the label, REG indicates regular top/bottom divergence while HID indicates hidden top/bottom divergence
- In the label, SRC(x-y) indicates a divergence occurred from the x-th kline to the y-th kline
- In the label, OSC(x-y) indicates a divergence occurred from the indicator corresponding to the x-th kline to the y-th kline
(2) Parameter introduction
- Normalized On Balance Volume
- MA Type: Type of moving average for calculating the normalized OBV, default is SMA
- MA Period: Period of moving average of normalized OBV, which is SMA14 by default
- NOBV Sigma: Upper and lower range of normalized OBV
- Normalized On Balance Volume Divergence
- Pivot Lookback Right: Number of K-line bars recalling the pivot top/bottom point to the right
- Pivot Lookback Left: Number of K-line bars recalling the pivot top/bottom point to the left
- Max of Lookback Range: Maximum number of retracing K-line bars to find the pivot top/bottom point
- Min of Lookback Range: Minimum number of retracing K-line bars to find the pivot top/bottom point
- Tolerant Kline Number: Maximum tolerance in indexing top/bottom points of Klines and indicators
- Cov Threshold: Divergence intensity, which is less than 0. The smaller the intensity value, the more obvious divergence
- Plot Bullish: Whether to draw regular bullish divergence label
- Plot Hidden Bullish: Whether to draw hidden bullish divergence label
- Plot Bearish: Whether to draw regular bearish divergence label
- Plot Hidden Bearish: Whether to draw hidden bearish divergence label
Happy trading and enjoy your life!
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各位朋友大家好,很抱歉之前的开源版本因为规则原因被隐藏,我已经重新编辑了说明并重新发布
(1) 指标说明
- 该指标是 OBV 的归一化版本,永不钝化,背离准确率高于 RSI
- 该指标绘制于 归一化OBV 上,并在对应位置显示背离点以及背离程度
- 支持顶底位置 N 根K线的容差,由 Tolerant Kline Number 参数设置
- 支持背离强度的显示,即标签上显示的 REG/HID 值,该值小于 0,且越小说明背离程度越大
- 支持背离强度的过滤,由 Cov Threshold 参数设置, REG/HID 值大于这个值的背离会被忽略
- 标签中,REG 表示常规顶/低背离,而 HID 表示隐藏顶/底背离
- 标签中,SRC(x-y) 表示从当前第 x 根 bar 开始到第 y 跟 bar 出现背离
- 标签中,OSC(x-y) 表示从当前第 x 根 bar 所对应的指标开始到第 y 跟 bar 所对应的指标出现背离
(2) 参数说明
- Normalized On Balance Volume
- MA Type: 计算归一化 OBV 的移动平均的类型,默认为 SMA
- MA Period: 计算归一化 OBV 的移动平均的周期,默认为 SMA14
- NOBV Sigma: 归一化 OBV 的过滤区间
- Normalized On Balance Volume Divergence
- Pivot Lookback Right: 枢纽顶/底点往右回顾的 K线 bar 数量
- Pivot Lookback Left: 枢纽顶/底点往左回顾的 K线 bar 数量
- Max of Lookback Range: 回寻找枢纽顶/底点的最大回溯 K线 bar 数量
- Min of Lookback Range: 回寻找枢纽顶/底点的最小回溯 K线 bar 数量
- Tolerant Kline Number: K线和指标的顶/底点索引的最大误差
- Cov Threshold: 背离程度,该值小于 0,且越小说明背离程度越大
- Plot Bullish: 是否绘制常规底背离提示
- Plot Hidden Bullish: 是否绘制隐藏底背离提示
- Plot Bearish: 是否绘制常规顶背离提示
- Plot Hidden Bearish: 是否绘制隐藏顶背离提示
祝大家交易愉快
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本着TradingView的真正精神,此脚本的创建者将其开源,以便交易者可以查看和验证其功能。向作者致敬!虽然您可以免费使用它,但请记住,重新发布代码必须遵守我们的网站规则。
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开源脚本
本着TradingView的真正精神,此脚本的创建者将其开源,以便交易者可以查看和验证其功能。向作者致敬!虽然您可以免费使用它,但请记住,重新发布代码必须遵守我们的网站规则。
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。