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5 min readThe Chaikin Money Flow (CMF) is a technical indicator used to measure the volume-weighted average of accumulation and distribution over a specific period of time. It can help traders and analysts determine the strength of buying and selling pressure in a particular market.In Python, the CMF can be calculated by first determining the money flow multiplier (MF Multiplier) and then using it to calculate the CMF.
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10 min readBollinger Bands are a technical analysis tool used to measure the volatility of a financial instrument. They consist of three lines: the middle band is a simple moving average of the asset's price, while the upper and lower bands are calculated by adding and subtracting a multiple of the standard deviation of the price from the middle band.To calculate Bollinger Bands using Lua, you would first need to gather historical price data for the asset you are interested in analyzing.
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8 min readIn Fortran, the momentum of an object can be calculated using the formula p = m * v, where p is the momentum, m is the mass of the object, and v is the velocity of the object. To use the momentum in Fortran, you first need to define the variables for mass and velocity, and then use the formula to calculate the momentum. This can be done within a Fortran program by writing the necessary code to perform the calculation.
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6 min readTo calculate pivot points using Swift, you first need to understand the formula for pivot points. Pivot points are used by traders in financial markets to determine potential support and resistance levels.
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5 min readBollinger Bands are a technical analysis tool that helps to identify trends and potential reversals in financial markets. They consist of three lines - a simple moving average (typically 20 periods) in the middle, and two standard deviation bands above and below the moving average. These bands expand and contract based on market volatility.In TypeScript, you can create a class or function to calculate Bollinger Bands for a given dataset of prices.
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5 min readTo calculate the Commodity Channel Index (CCI) in Go, you first need to gather the necessary data. This typically includes the high, low, and closing prices of a commodity.Once you have the data, you can then calculate the typical price by adding the high, low, and closing prices together and dividing by 3.Next, you calculate the mean deviation by subtracting the typical price from the simple moving average of the typical price over a specified time period.
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7 min readIn this tutorial, we will explore how to calculate the Rate of Change (ROC) using the Rust programming language. The Rate of Change is a measurement that indicates the speed at which a quantity is changing over a specified time period.We will start by defining a function that takes in a list of numbers representing a time series data. We will then iterate through the list to calculate the difference between consecutive values and divide it by the time period to get the Rate of Change.
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5 min readTo use the Simple Moving Average (SMA) in Scala, you can create a function that takes in a list of numbers representing the data points for which you want to calculate the moving average. The function should then loop through the list, calculating the average of the last n data points, where n represents the window size for the moving average. You can use the sum and length functions to calculate the average of the current window of data points.
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8 min readTo calculate Bollinger Bands in PHP, you need to first gather historical price data for the asset you are analyzing. You will typically need at least 20 periods of data to calculate the bands accurately.Next, you will need to calculate the simple moving average (SMA) of the closing prices over the specified period. This is typically done by summing up the closing prices and dividing by the number of periods.
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4 min readThe Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range between high and low prices over a specified period of time. In Go, you can use the ATR indicator to determine the current level of volatility in a market and help identify potential trends or reversals. By incorporating the ATR into your trading strategy, you can better manage risk and make more informed decisions when entering or exiting trades.
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8 min readPivot Points are commonly used in trading to identify potential support and resistance levels. In Kotlin, pivot points can be calculated by taking the average of the previous day's high, low, and close prices. This calculation helps traders determine key price levels where the market direction could potentially change.In order to calculate pivot points using Kotlin, traders can define functions that take the previous day's high, low, and close prices as input parameters.