Arjun  Mandal

Writer:

Arjun Mandal
Eda Kaya

Reviewer:

Eda Kaya
Modified:
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Machine Learning Moving Average indicator MT5 Download – Free – [TradingFinder]

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MetaTrader4

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Machine Learning Moving Average indicator MT5 Download – Free – [TradingFinder]
Machine Learning Moving Average indicator MT5 Download – Free – [TradingFinder] 0
Machine Learning Moving Average indicator MT5 Download – Free – [TradingFinder] 1
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The Machine Learning Moving Average indicator, a tool based on machine learning and statistical methods, is designed to separate the dominant price trend from scattered and volatile market movements.

This indicator not only provides a moving average line to show the overall trend, but also, by drawing bands around it, illustrates the range of potential price fluctuations.

Specification Table of the Machine Learning Moving Average Indicator

The table below presents the specifications of the Machine Learning Moving Average indicator:

Indicator Categories:
Signal & Forecast MT5 Indicators
Machine Learning Indicators for MetaTrader 5
Moving Average (MA) Indicators for MetaTrader 5
Platforms:
MetaTrader 5 Indicators
Trading Skills:
Elementary
Indicator Types:
Reversal MT5 Indicators
Timeframe:
Multi-Timeframe MT5 Indicators
Trading Style:
Swing Trading MT5 Indicators
Scalper MT5 Indicators
Day Trading MT5 Indicators
Trading Instruments:
Forex MT5 Indicators
Crypto MT5 Indicators
Stock MT5 Indicators
Commodity MT5 Indicators
Indices MT5 Indicators
Share Stock MT5 Indicators

Machine Learning Moving Average Indicator at a Glance

Signal generation in the Machine Learning MA indicator is based on the relationship of price with its surrounding bands.

Accordingly, when the price crosses above the upper band, the indicator issues a buy signal, and when the price crosses below the lower band, it issues a sell signal.

Buy Signal 

According to the Ethereum (ETH) cryptocurrency chart in the 1-hour timeframe, the price has crossed above the upper band and the candle has closed above it.

In this situation, the indicator detects the breakout and, with a blue marker, issues a buy signal to the trader.

Uptrend analysis with the Machine Learning Moving Average indicator
Identifying a suitable entry point for buy trades with the Machine Learning Moving Average indicator

Sell Signal 

Based on the GBP/USD chart in the 30-minute timeframe, the indicator has detected a price drop below the lower band.

Consequently, this trading tool issues a sell signal with a red marker, highlighting the prevailing downward pressure.

Downtrend analysis with the Machine Learning MA indicator
Identifying reversal zones using the Machine Learning Moving Average indicator

Settings of the Machine Learning Moving Average Indicator

The settings panel of the Machine Learning Moving Average indicator is as follows:

Settings of the Machine Learning MA indicator
Familiarity with the settings panel fields of the Machine Learning Moving Average indicator
  • Window size: Number of data points used for moving average calculation
  • Forecast: Level of prediction and indicator responsiveness
  • Sigma: Smoothing parameter or standard deviation
  • Multiplicative Factor: Expansion coefficient of the bands
  • Source: Type of input data from price
  • Upperline: Upper boundary of the price fluctuation range
  • Lowerline: Lower boundary of the price fluctuation range

Conclusion

The Machine Learning Moving Average indicator is a modern tool in technical analysis. By using machine learning algorithms and statistical models, it filters the main market trend from volatile price movements.

In addition to the moving average line, the Machine Learning Moving Average indicator provides upper and lower bands to define the range of potential price fluctuations.

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FAQs

When does this indicator issue trading signals?

The Machine Learning Moving Average indicator issues buy and sell signals when the price exits (a candle closes) above or below the channel bands.

Can this indicator also be used in the stock market?

Yes, the Machine Learning Moving Average indicator can be applied and used in all markets.

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