Posts (page 76)
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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.
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5 min readThe Commodity Channel Index (CCI) is a popular technical indicator used in financial markets to identify overbought or oversold conditions. It measures the difference between an asset's current price and its average price over a specified period of time.In Haskell, the CCI can be implemented by first calculating the typical price, which is the average of the high, low, and close prices for each period.
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7 min readTo calculate the Average Directional Index (ADX) using C++, you first need to compute the True Range, Positive Directional Movement (+DM), and Negative Directional Movement (-DM) for each period. The True Range is the largest of the following three values: current high minus current low, absolute value of current high minus previous close, and absolute value of current low minus previous close.
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7 min readBollinger Bands are a technical analysis tool that provides a measure of volatility for a given security. They consist of a simple moving average (SMA) and two standard deviations above and below the SMA, forming an upper and lower band.To calculate Bollinger Bands using Lua, you would first need to calculate the SMA for a specified period. This can be done by summing the closing prices for the desired number of periods and dividing by the total number of periods.
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6 min readThe Relative Strength Index (RSI) is a popular technical indicator used in the analysis of financial markets. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the market. In Fortran, the RSI calculation involves tracking the average gain and average loss over a specified period of time, typically 14 days. The formula for RSI includes smoothing techniques to better interpret price changes and analyze market trends.
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7 min readIn Groovy, you can calculate Fibonacci Extensions by using a recursive function that generates the Fibonacci sequence up to a specified number of terms. You can then use this sequence to calculate the Fibonacci Extensions by multiplying the last two numbers in the sequence and adding them to get the next extension. You can continue this process to generate as many Fibonacci Extensions as you need.
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5 min readTo calculate momentum using F#, you can use the formula momentum = mass * velocity. First, define variables for mass and velocity. Next, multiply the mass by the velocity to get the momentum. You can then display the momentum value using F# print functions. Remember to specify the units of mass and velocity to ensure the momentum is calculated correctly.[rating:3da37846-8560-47ed-9f14-692ffe27a5ac]How to interpret momentum values obtained from calculations.
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4 min readTo calculate Fibonacci retracements in F#, you can use a simple function that takes the high and low points of a data series as inputs. The Fibonacci retracement levels are calculated as percentages of the distance between the high and low points.You can define a function in F# that takes the high and low points as arguments and then calculates the Fibonacci retracement levels based on these values. The function should calculate the retracement levels at 23.6%, 38.2%, 50%, 61.
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7 min readTo compute Bollinger Bands in Swift, you first need to calculate the moving average of the closing prices of the asset you are analyzing. This moving average is typically calculated using a simple moving average over a specific time period, such as 20 days.Next, you need to calculate the standard deviation of the closing prices over the same time period. This standard deviation will help determine the volatility of the asset.
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7 min readBollinger Bands are a technical analysis tool that consists of a moving average line and two standard deviation lines placed above and below the moving average. These bands are used to measure the volatility of an asset and determine potential buy or sell signals. In Perl, you can calculate Bollinger Bands by first calculating the moving average and then adding and subtracting the standard deviation to get the upper and lower bands.
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3 min readCalculating the Rate of Change (ROC) in Go involves determining the ratio of how much a value has changed over a specific period of time. This can be done by subtracting the initial value from the final value, and then dividing that difference by the initial value. The result is a percentage that represents the rate of change.