Month Statistics

Month Stats

Overview: A Price Analysis Indicator by month. A quantitative technical analysis indicator developed for statistical analysis of price variations, with data classified by calendar month. This indicator processes candle data and displays statistical results based on user input parameters. The input parameters allow defining the type and frequency of the statistics to be calculated. This indicator provides a quantitative basis for identifying market patterns.

Output Data: The indicator calculates and displays three main statistical properties for each calendar month:

  1. Directional Candle Variation: The balance of positive (bullish) candles minus negative (bearish) candles.

  2. Percentage of Positive Candles: The percentage ratio between the total number of positive candles and the total number of candles sampled in the period.

  3. Total Points: The result of the sum of points from positive candles subtracted from the sum of points from negative candles.

Sampling Period Configuration: The user can define the time period for the calculation of statistics through the input parameters. Options include:

  1. Full History (Never): Sampling from the beginning of the asset's historical data series.

  2. Yearly (Every Year): Sampling restricted to the data of the current calendar year.

  3. Monthly (Every Month): Sampling restricted to the data of the current calendar month.

Data Filters: The sampling can be filtered by a minimum variation in points, defining a cut-off value for the inclusion of candles in the statistical calculations. This allows for the exclusion of candles with low volatility.

Timeframe Restrictions: The statistics timeframe depends on the chart's timeframe and the input parameters. (If the chart is on M1, the statistics will be for M1 candles, and so on). The indicator is not compatible with timeframes higher than D1, such as weekly (W1) or monthly (MN), as its primary purpose is to aggregate data per calendar month across all applicable timeframes.

Visualization: Data Window: The data window shows the data related to the selected statistical parameters and the statistical calculations of the historical candle sampling.

Data Sampling Start: The indicator shows the start of the historical series at the top of the sub-window. Sometimes the start of the historical series may be different from the one requested by the input parameter. To check if the data was obtained correctly, verify the initial date on the indicator. If the initial date is different from the one you requested, check if the asset has the requested data history and if your platform's configuration allows for unlimited data history.

Alerts:

    1. For some reasons, the data range of the data used may be different from the one requested by the input parameter. This can occur for a few reasons: 1.1 The platform is configured to limit the maximum number of historical candles. Check the maximum number of bars allowed in the history in your platform's configuration. 1.2 The chart symbol does not have old data.

    1. This indicator aggregates candle variations per calendar month and is designed to function across various timeframes. Its functionality is focused on monthly aggregation rather than per-day-of-week analysis.


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This utility copies Market orders, Limit orders, and Stop orders with a focus on high speed and easy setup. The utility works by setting up a Master and one or more Slaves. The setup is quite simple: you just need to define which account is the Master and which account is the Slave, and then set up the same Copy Trade Id for both. For the Slave to recognize the Master's orders, the Copy Trade Id parameter must be the same. Do not use numbers or special characters when setting the Copy Trade Id
Dual Trend Analyzer
Elidio Xavier Guimaraes
The Dual Trend Analyzer: An MQL5 Tool for Statistical Correlation Analysis The Dual Trend Analyzer is a powerful MQL5 tool developed to analyze and visualize the statistical correlation between two distinct financial symbols (assets). This tool allows you to choose from three of the most widely recognized correlation methods: Pearson, Spearman, or Kendall-Tau . Identify Correlation Patterns with the Dual Trend Analyzer This indicator is designed to unveil the statistical correlation between two
Trend Pulse Insights
Elidio Xavier Guimaraes
Introducing Trend Pulse Insights: Your Intelligent Guide to Market Volatility Developed for traders seeking precision and clarity, Trend Pulse Insights offers an in-depth view of market dynamics, helping you identify opportunities and manage risks with confidence. How Trend Pulse Insights Works Our indicator uses algorithms to calculate volatility levels based on two recognized methods:     ATR (Average True Range): For measuring average volatility over a period.     Standard Deviation: To
Weekday Stats
Elidio Xavier Guimaraes
Weekday Stats Overview Weekday Stats is a quantitative analysis indicator designed to perform statistical studies of price behavior by classifying candle data according to the day of the week on which each candle occurred. The indicator processes the historical candles of the selected asset and provides statistical information for each day of the week, allowing the user to analyze price direction and price variation separately for each weekday. The sampling period, statistical parameters, and da
Month Stats
Elidio Xavier Guimaraes
Month Stats Overview Month Stats is a quantitative analysis indicator designed to perform statistical studies of price behavior by classifying candle data according to the calendar month in which each candle was formed. The indicator processes historical candle data and provides statistical results for each month of the year, allowing users to analyze price behavior individually for January, February, March, and the remaining calendar months. The input parameters allow users to define the sampli
Stats Summary
Elidio Xavier Guimaraes
Enhance Your Technical Analysis with Stats Summary . The Stats Summary is a robust analytical tool developed for MetaTrader 5 (MT5), providing a detailed statistical overview of price behavior. Unlike traditional indicators, it uses descriptive statistics to map the distribution of prices over a customizable sample period. By defining the sample size, the indicator calculates and displays the following values on the chart: Minimum and Maximum (Min/Max): The complete price range of the selected i
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