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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.
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7 min readCreating Ichimoku Cloud using Swift involves implementing the mathematical calculations behind the Ichimoku indicator. This involves calculating the nine-period high and low, as well as the conversion line, base line, and leading span. These calculations can be done using the historical price data of a financial instrument.Once the calculations are done, the Ichimoku Cloud can be plotted on a chart using a library or custom drawing code in Swift.
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5 min readTo calculate the Parabolic SAR (Stop and Reverse) in JavaScript, you can use the formula provided by Welles Wilder Jr. The Parabolic SAR is a technical indicator used to determine potential reversals in the price movement of an asset. It is based on the idea that a trailing stop-and-reverse trading signal is generated when the price intersects the SAR line.To calculate the Parabolic SAR, you first need to determine the initial SAR value.
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3 min readSupport and Resistance levels are key concepts in technical analysis used to identify potential price levels where the market may reverse its direction. In Lua, these levels can be calculated using historical price data and plotted on a chart to help traders make informed decisions. Traders can use these levels to identify potential entry and exit points for their trades, as well as to set stop-loss and take-profit orders.
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5 min readTo create Rate of Change (ROC) in Groovy, you can calculate it by taking the difference between the current value and the previous value, and then dividing it by the previous value. This calculation is commonly used in financial analysis to measure the speed at which a variable is changing over a specific period of time. By implementing this calculation in Groovy, you can easily track the rate of change of any data set or variable within your application.
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5 min readTo compute pivot points using Fortran, you can follow these steps:Define the variables needed for the calculation, such as the previous day's high, low, and close prices. Write a subroutine or function to calculate the pivot point, which is the average of the previous day's high, low, and close prices. Calculate the support and resistance levels using the pivot point.
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5 min readIn financial trading, Pivot Points are a popular tool used to determine potential support and resistance levels. They are calculated based on the previous day's high, low, and closing prices.In C#, you can compute Pivot Points by first determining the Pivot Point itself, which is the average of the previous day's high, low, and closing prices. You can then calculate additional support and resistance levels based on the Pivot Point.
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8 min readTo calculate the Average Directional Index (ADX) in MATLAB, you can use the function adx from the Financial Toolbox. This function takes in three input arguments: high prices, low prices, and closing prices.
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6 min readVolume analysis in Scala can be calculated by first obtaining the volume data for a particular asset or security over a specific time period. This volume data typically represents the total number of shares or contracts that have been traded during a given period.Once the volume data has been obtained, the next step is to analyze this data to identify any patterns or trends that may be present.
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4 min readIn this tutorial, we will learn how to implement Fibonacci extensions using TypeScript. Fibonacci extensions are a popular technical analysis tool used in trading to predict potential price targets. By calculating Fibonacci ratios based on the Fibonacci sequence, traders can identify key levels where price may reverse or continue in a particular direction.We will first cover the basics of the Fibonacci sequence and how to calculate Fibonacci ratios.