Posts (page 74)
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4 min readCalculating momentum in Perl involves multiplying the mass of an object by its velocity. The formula for momentum is: momentum = mass * velocity. In Perl, you can create a script that prompts the user to input the mass and velocity of an object, calculates the momentum using the formula, and then prints out the result. This can be done by using variables to store the mass, velocity, and momentum, and then performing the calculation using the '*' operator.
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6 min readIchimoku Cloud is a technical analysis tool used to identify trends in the financial markets. It consists of several components such as the Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, and Chikou Span.To calculate Ichimoku Cloud using C++, you would need to write code that calculates the different components based on historical price data. This would involve calculating moving averages, high and low prices, and plotting the various lines on a chart.
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3 min readCalculating volume analysis using Swift involves using mathematical formulas and algorithms to determine the volume of a given object or space. This can be done by inputting the necessary measurements and data into a Swift program, which will then perform the necessary calculations to output the volume. Swift is a versatile programming language that can handle complex mathematical calculations, making it suitable for volume analysis tasks.
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7 min readTo compute Simple Moving Average (SMA) in TypeScript, you need to first define the period for which you want to calculate the average. Next, create an array to store the values for which you want to find the average. Iterate through the array and calculate the sum of the values within the defined period. Divide this sum by the period to get the SMA for that particular point.
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7 min readThe Average True Range (ATR) is a volatility indicator that measures market volatility based on the true range of price movements. In Lua, you can calculate the ATR using a simple function that takes historical price data as input. The true range is calculated as the maximum of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close.
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5 min readTo calculate the Fibonacci extensions in Swift, you first need to find the Fibonacci sequence. This can be done by writing a function that iterates through the sequence and stores the values in an array. Once you have the Fibonacci sequence, you can calculate the extensions by multiplying the difference between the current Fibonacci number and the previous one by a factor (usually 1.618).
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4 min readThe Parabolic SAR (Stop and Reverse) indicator is a technical analysis tool used to determine the potential reversal points in a market trend. In Lua, you can create a Parabolic SAR indicator by implementing the formula and logic defined by J. Welles Wilder Jr., who developed this indicator.To create a Parabolic SAR indicator in Lua, you need to calculate the SAR values for each data point in the dataset.
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4 min readIn this tutorial, we will discuss how to implement the Moving Average Convergence Divergence (MACD) indicator using MATLAB. The MACD is a popular technical analysis tool used to identify changes in a stock's trend.First, we will calculate the MACD line by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. Next, we will calculate the Signal line, which is typically a 9-period EMA of the MACD line.
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3 min readThe Relative Strength Index (RSI) is a popular technical indicator used by traders to gauge the strength and momentum of a security's price movements. It is typically used to identify overbought or oversold conditions in the market.In Lua, the RSI can be calculated using historical price data. This involves calculating the average gain and average loss over a specified period, usually 14 days. The formula for RSI is then applied to determine the relative strength of the security.
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6 min readThe Average Directional Index (ADX) is a technical analysis indicator used to measure the strength of a trend. It is often used in conjunction with other indicators to help traders identify the direction of a trend and determine whether it is strong or weak.In R, the ADX can be calculated using the ADX function in the TTR package. The function takes three arguments: high, low, and close, which are vectors of high, low, and closing prices, respectively.
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5 min readTo calculate the Relative Strength Index (RSI) in JavaScript, you can follow these steps:Gather the necessary data: You will need to collect historical price data for a specific asset or security over a chosen time period. This data typically includes the closing prices for each day. Calculate the daily price changes: For each day in the time period, subtract the closing price from the previous day's closing price to determine the daily price change.
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5 min readPivot points are technical analysis indicators used to identify potential support and resistance levels in financial markets. They are calculated based on the high, low, and close prices of a previous trading period.In Python, pivot points can be calculated using various formulas. One common method is the standard pivot point formula, which involves adding the high, low, and close prices of the previous trading day and dividing the sum by three.