Posts (page 5)
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5 min readTo create pivot points in Java, you can start by defining a data structure to store the values of the pivot points. This data structure can be a list, array, map, or any other type of collection that suits your needs.Next, you will need to calculate the pivot points based on your specific requirements. This typically involves taking the high, low, and close prices of a financial instrument (such as a stock or currency pair) and applying a mathematical formula to determine the pivot points.
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9 min readThe Average True Range (ATR) is a technical analysis indicator that measures market volatility. It was developed by J. Welles Wilder and is commonly used by traders to determine the best placement for stop-loss orders.In JavaScript, you can calculate the ATR by taking the average of the True Ranges over a specified period. The True Range is the greatest of the following:The difference between the current high and low.The difference between the current high and the previous close.
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8 min readThe Williams %R is a technical indicator that measures overbought and oversold levels in a market. It is often used by traders and analysts to identify potential buying or selling opportunities. In Java, the Williams %R can be implemented by calculating the formula using historical price data. This indicator ranges from 0 to -100, with readings above -20 considered overbought and readings below -80 considered oversold.
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5 min readTo calculate Chaikin Money Flow (CMF) using Scala, you first need to understand the formula for CMF. CMF is calculated by taking the sum of the Money Flow Volume over a certain period (typically 20 days) and dividing it by the sum of the volume over the same period.To implement this calculation in Scala, you would first need to collect the necessary data such as the closing price, high, low, and volume of a stock over a specific period.
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9 min readThe Commodity Channel Index (CCI) is a popular technical indicator used to identify overbought or oversold conditions in a market. It is calculated by taking the difference between the typical price of a security for a specified period and a simple moving average of the typical price, and then dividing that difference by a normalized mean deviation.
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6 min readTo calculate the rate of change (ROC) using PHP, you need to first determine the initial and final values of the quantity you are measuring. The formula for calculating ROC is (final value - initial value) / initial value * 100.You can create a PHP function that takes the initial and final values as parameters, and then use the formula to calculate the rate of change.
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4 min readMoving averages (MA) are a widely used technical indicator in financial analysis to smooth out price fluctuations and identify trends. To calculate a moving average using MATLAB, you can use the 'movmean' function, which computes the average of a specified number of consecutive elements in a vector.To calculate a simple moving average (SMA), you can specify the window size as the number of periods you want to include in the average.
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6 min readA tutorial on implementing a stochastic oscillator using Ruby can be a useful resource for developers looking to incorporate technical analysis into their trading strategies. The stochastic oscillator is a popular indicator used by traders to identify overbought and oversold conditions in the market.In this tutorial, you can learn how to calculate the stochastic oscillator for a given set of price data using Ruby.
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8 min readThe Parabolic SAR (Stop and Reverse) is a technical indicator used in trading to determine potential reversal points in the market. It is calculated based on the price momentum of an asset and is represented by a series of dots on the chart. When the dots are below the price, it indicates a bullish trend, and when they are above the price, it signals a bearish trend.
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5 min readFibonacci extensions in Lua are a commonly used tool in technical analysis to determine potential levels of support and resistance in financial markets. The Fibonacci extension levels are used to predict where prices may move to following a price retracement. By applying the Fibonacci ratios to key points on a price chart, traders can identify levels where a financial instrument may potentially reverse or continue its trend.
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6 min readIn Fortran, the Fibonacci extensions can be calculated by first calculating the Fibonacci numbers using a recursive function or an iterative loop. Once the Fibonacci numbers are calculated, the extensions can be obtained by multiplying the last Fibonacci number by various ratios such as 1.618, 2.618, 4.236, etc.To use the Fibonacci extensions in Fortran, you would first need to write a subroutine or function to calculate the Fibonacci numbers.
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7 min readTo calculate the Average True Range (ATR) using Golang, you will first need to gather the necessary historical price data for the asset or security you are interested in analyzing. The ATR is a volatility indicator that measures the average range of price movement over a specified period of time.Once you have the historical price data, you can start by calculating the True Range (TR) for each period.