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Moving Average Cross Probability [AlgoAlpha]

מעודכן
Moving Average Cross Probability 📈✨

The Moving Average Cross Probability by AlgoAlpha calculates the probability of a cross-over or cross-under between the fast and slow values of a user defined Moving Average type before it happens, allowing users to benefit by front running the market.

✨ Key Features:
  • 📊 Probability Histogram: Displays the Probability of MA cross in the form of a histogram.
  • 🔄 Data Table: Displays forecast information for quick analysis.
  • 🎨 Customizable MAs: Choose from various moving averages and customize their length.


🚀 How to Use:
  1. 🛠 Add Indicator: Add the indicator to favorites, and customize the settings to suite your trading style.
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  2. 📊 Analyze Market: Watch the indicator to look for trend shifts early or for trend continuations.
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  3. 🔔 Set Alerts: Get notified of bullish/bearish points.
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✨ How It Works:

The Moving Average Cross Probability Indicator by AlgoAlpha determines the probability by looking at a probable range of values that the price can take in the next bar and finds out what percentage of those possibilities result in the user defined moving average crossing each other. This is done by first using the HMA to predict what the next price value will be, a standard deviation based range is then calculated. The range is divided by the user defined resolution and is split into multiple levels, each of these levels represent a possible value for price in the next bar. These possible predicted values are used to calculate the possible MA values for both the fast and slow MAs that may occur in the next bar and are then compared to see how many of those possible MA results end up crossing each other.

Stay ahead of the market with the Moving Average Cross Probability Indicator AlgoAlpha! 📈💡
הערות שחרור
Implemented a fix to a bug concerning the Probability histogram when using SMA.
algoalphadataanalysisforecastmoving_averagemovingaveragecrossoverpredictionregressionsstatisticalprobabilitystatisticsTrend Analysistrendfollowertrendfollowing

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