Adaptive MA

6天前

Adaptive Moving Average (AMA)

Overview

The Adaptive Moving Average (AMA) script is designed to calculate and plot a moving average that adapts dynamically based on market conditions. This script uses pivot-based periods for its calculation, allowing it to adjust its behavior in response to market volatility and trends. It supports both Simple Moving Average (SMA) and Exponential Moving Average (EMA).

Features

• Dynamic Period Calculation: Leverages the DynamicPeriodPublic library to compute periods based on pivot points, providing an adaptive length for the moving average.
  
• Customizable Parameters: Users can choose predefined "Fast" and "Slow" settings or manually configure the parameters for greater control.
  
• Supports SMA and EMA: Flexibility to choose between SMA and EMA for the moving average calculation.
  

Inputs

Source (src): Data source for the moving average (e.g., close price).
Default: close

Length Type (length_type): Determines the type of period calculation.
Options: Fast, Slow, Manual

MA Type (ma_type): Specifies the type of moving average to calculate.
Options: SMA, EMA

Manual Parameters (used when length_type is set to Manual):

Left Bars (left_bars): Number of left-hand bars for pivot detection.

Right Bars (right_bars): Number of right-hand bars for pivot detection.

Number of Pivots (num_pivots): Minimum number of pivots for dynamic period calculation.

Length Multiplier (length_mult): Multiplier applied to the calculated period.

Use Cases

1. Trend Analysis: Identify market trends with an average that adapts to changing conditions.
   
2. Volatility-Based Strategies: Adjust strategies dynamically in response to market volatility.
   
3. Custom Configurations: Fine-tune pivot parameters for specific markets or assets using the "Manual" mode.
   

Example Usage

1. Select the desired length type (Fast, Slow, or Manual).
   
2. If Manual is selected, configure the pivot detection parameters and length multiplier.
   
3. Choose the moving average type (SMA or EMA).
   
4. Observe the adaptive moving average plotted on the chart.