MOVING AVERAGE CROSSOVER GLOBAL ESTRATEGY

Complete moving average crossover script with multiple configurable options:

1. By default, it only operates in "Long" mode, but it can be set to also operate in "Short" mode.

2. The buy/sell order condition can be triggered by the crossover of moving averages or when the price closes above or below the moving averages.

3. A third moving average can also be added.

4. Different types of moving averages can be selected to choose the one that performs best.

5. The periods of the moving averages are also configurable.

Since this is a strategy, backtesting can be easily performed to select the values that work best with the asset being analyzed.

Below is a description of the moving averages added to the script and their characteristics:

Simple SMA (Simple Moving Average):

Calculates the simple average of closing prices over a specific period.

It is the most basic and easy to interpret but may be slow to react to sudden price changes.

Exponential EMA (Exponential Moving Average):

Gives more weight to recent prices, making it more sensitive to price changes.

Responds more quickly to market fluctuations compared to SMA, helping to detect trend changes earlier.

Weighted WMA (Weighted Moving Average):

Assigns more weight to recent data in a linear fashion.

Provides a balance between the sensitivity of EMA and the smoothness of SMA, making it useful for short-term trend following.

Volume-Weighted VWMA (Volume-Weighted Moving Average):

Weights prices based on trading volume, giving more importance to prices with higher volume.

Useful for analyzing whether price movements are supported by high volume, indicating greater relevance.

Hull HMA (Hull Moving Average):

Designed to minimize lag while increasing sensitivity.

Combines smoothing and fast price response, making it suitable for traders who need to detect trend changes quickly.

Smoothed RMA (Smoothed Moving Average):

Similar to EMA but with a different smoothing approach, providing an average that effectively filters price noise.

Often used for medium-term trend analysis.

Arnaud Legoux ALMA (ALMA Moving Average):

Uses a special smoothing algorithm with bias control to reduce noise and improve trend detection.

Allows adjustment of bias and smoothing parameters to suit different trading needs.

Known for its ability to maintain a fast response to price while suppressing noise.

These moving averages offer different approaches to tracking and analyzing price trends. Depending on your trading strategy, you can choose the moving average that best suits your needs: from a fast response with HMA or EMA to a more stable and less reactive approach with SMA or RMA.