Posts (page 73)
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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.
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7 min readIn Lua, the Simple Moving Average (SMA) can be calculated by summing up a specified number of data points and then dividing that sum by the total number of data points. The formula for calculating the SMA is: SMA = (Sum of data points) / (Number of data points).To calculate the SMA in Lua, you would first need to create a table to store your data points. Then, you can loop through the table to sum up the specified number of data points.
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6 min readThe Average True Range (ATR) is a popular technical indicator used in trading to measure volatility. In Clojure, you can calculate the ATR by taking the average of the true ranges over a specified period. The true range is the maximum of three values: the distance between the current high and 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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4 min readThe Chaikin Money Flow (CMF) is a technical analysis tool that measures the buying and selling pressure of a security over a specific period of time. It is based on the accumulation/distribution line and is often used to confirm trends and spot potential reversal points.In F#, you can implement the CMF calculation by first calculating the Money Flow Multiplier, which is calculated by multiplying the [(Close - Low) - (High - Close)] by the volume of the security.
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7 min readVolume analysis is a technique used in TypeScript to understand and analyze the codebase in terms of its complexity and size. By examining the volume of code, developers can gain insights into potential issues such as high complexity, redundancy, and maintenance challenges. This analysis can help developers make informed decisions about refactoring, optimizing, and improving the codebase for better performance and maintainability.
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5 min readTo compute Fibonacci extensions using Lisp, you first need to define a recursive function to calculate the Fibonacci numbers. This function can be defined using a simple if-else statement to handle the base cases (fibonacci of 0 and 1) and recursively calculate the Fibonacci numbers for other input values.Once you have this function defined, you can use it to calculate the Fibonacci numbers for the desired input values.