PINE LIBRARY
已更新 DynamicPeriodPublic

Dynamic Period Calculation Library
This library provides tools for adaptive period determination, useful for creating indicators or strategies that automatically adjust to market conditions.
Overview
The Dynamic Period Library calculates adaptive periods based on pivot points, enabling the creation of responsive indicators and strategies that adjust to market volatility.
Key Features
Use Cases
Function: `dynamic_period`
Description
Calculates a dynamic period based on the average distances between pivot highs and lows.
Parameters
Returns
A dynamic period calculated based on pivot distances, constrained by `minPeriod` and `maxPeriod`.
Example
Pine Script®
Implementation Notes
This library provides tools for adaptive period determination, useful for creating indicators or strategies that automatically adjust to market conditions.
Overview
The Dynamic Period Library calculates adaptive periods based on pivot points, enabling the creation of responsive indicators and strategies that adjust to market volatility.
Key Features
- Dynamic Periods: Computes periods using distances between pivot highs and lows.
- Customizable Parameters: Users can adjust detection settings and period constraints.
- Robust Handling: Includes fallback mechanisms for cases with insufficient pivot data.
Use Cases
- Adaptive Indicators: Build tools that respond to market volatility by adjusting their periods dynamically.
- Dynamic Strategies: Enhance trading strategies by integrating pivot-based period adjustments.
Function: `dynamic_period`
Description
Calculates a dynamic period based on the average distances between pivot highs and lows.
Parameters
- `left` (default: 5): Number of left-hand bars for pivot detection.
- `right` (default: 5): Number of right-hand bars for pivot detection.
- `numPivots` (default: 5): Minimum pivots required for calculation.
- `minPeriod` (default: 2): Minimum allowed period.
- `maxPeriod` (default: 50): Maximum allowed period.
- `defaultPeriod` (default: 14): Fallback period if no pivots are found.
Returns
A dynamic period calculated based on pivot distances, constrained by `minPeriod` and `maxPeriod`.
Example
//@version=6
import CrimsonVault/DynamicPeriodPublic/1
left = input.int(5, "Left bars", minval = 1)
right = input.int(5, "Right bars", minval = 1)
numPivots = input.int(5, "Number of Pivots", minval = 2)
period = DynamicPeriodPublic.dynamic_period(left, right, numPivots)
plot(period, title = "Dynamic Period", color = color.blue)
Implementation Notes
- Pivot Detection: Requires sufficient historical data to identify pivots accurately.
- Edge Cases: Ensures a default period is applied when pivots are insufficient.
- Constraints: Limits period values to a user-defined range for stability.
版本注释
v2Updated:
dynamic_period(left, right, numPivots, minPeriod, maxPeriod, defaultPeriod, high, low)
Parameters:
left (int): Number of left bars for pivot detection
right (int): Number of right bars for pivot detection
numPivots (int): Minimum number of pivots to calculate average distance
minPeriod (int): Minimum allowed period
maxPeriod (int): Maximum allowed period
defaultPeriod (int): Default period if no pivots are found
high (float): Source for low values
low (float): Source for high values
Returns: Calculated dynamic period
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这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
Pine脚本库
秉承TradingView的精神,作者已将此Pine代码作为开源库发布,以便我们社区的其他Pine程序员可以重用它。向作者致敬!您可以私下或在其他开源出版物中使用此库,但在出版物中重用此代码须遵守网站规则。
免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。