Posts (page 7)
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6 min readThe Moving Average Convergence Divergence (MACD) is a popular technical analysis tool used by traders to identify potential trend reversals and entry/exit points in the financial markets. It is calculated based on the difference between two exponential moving averages (EMA) of an asset's price.To use the MACD indicator in Python, you first need to calculate the EMA of the asset's price data. Then, you can calculate the MACD line by subtracting the longer EMA from the shorter EMA.
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7 min readTo create a Simple Moving Average (SMA) in Dart, you can start by defining a list of numeric values that you want to calculate the moving average for. Then, you can write a function that takes this list and a parameter for the number of periods to consider in the calculation.Inside the function, you can use a for loop to iterate over the list of values, taking the average of the specified number of periods at each step.
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5 min readTo calculate Simple Moving Average (SMA) using Clojure, you can first define a function that takes in a vector of numbers and a window size as input parameters. Within this function, you can use the partition function to create sublists of numbers based on the window size. Then, you can map over these sublists and calculate the average of each sublist using the apply function with the + and / operators. Finally, you can return a vector of the calculated SMAs.
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8 min readThe Average Directional Index (ADX) is a technical indicator used in financial markets to evaluate the strength of a trend. It is typically used in conjunction with other indicators to make trading decisions.In Java, the ADX can be calculated using historical price data. The formula for the ADX involves calculating the positive directional movement (+DI) and negative directional movement (-DI), as well as the true range values for the time period being analyzed.
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6 min readSupport and resistance levels are key concepts in technical analysis used to identify potential price levels at which a market trend could reverse. In Visual Basic, these levels can be used to make trading decisions or automate trading strategies.Support levels are areas where the price of an asset historically has difficulty falling below, while resistance levels are areas where the price historically struggles to rise above.
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7 min readTo calculate the Parabolic SAR (Stop and Reverse) indicator in Fortran, you will need to implement the formula provided by the indicator's creator, J. Welles Wilder. The Parabolic SAR is a trend-following indicator that helps traders determine potential entry and exit points in a market.To calculate the Parabolic SAR, you will need to keep track of two values: the Acceleration Factor (AF) and the Extreme Point (EP).
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6 min readTo calculate Fibonacci retracements using C++, you can start by defining a function that takes in the high and low prices of a financial instrument. You can then calculate the Fibonacci retracement levels by first determining the price range (high - low) and then multiplying this range by the Fibonacci ratio levels (0.236, 0.382, 0.500, 0.618, 0.786).
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6 min readTo compute Bollinger Bands using Lua, you need to first calculate the 20-day simple moving average of the asset's price. Next, calculate the standard deviation of the asset's price over the 20-day period. Finally, compute the upper band by adding two times the standard deviation to the moving average, and compute the lower band by subtracting two times the standard deviation from the moving average.
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4 min readIn Groovy, you can calculate momentum by using the formula:Momentum = mass x velocityWhere:Momentum is the product of an object's mass and velocityMass is the quantity of matter in an objectVelocity is the speed and direction of an object's motionYou can apply this formula in your Groovy code by defining the mass and velocity variables, then multiplying them together to get the momentum.
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5 min readTo compute Ichimoku Cloud in Lua, you will need to first gather the necessary data like the high, low, and closing prices of a particular asset for a given period.Next, you can start calculating the components of the Ichimoku Cloud such as the Tenkan-sen (Conversion Line), Kijun-sen (Base Line), Senkou Span A (Leading Span A), and Senkou Span B (Leading Span B).
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5 min readIn Fortran, momentum is calculated by multiplying the mass of an object by its velocity. The formula for calculating momentum is:Momentum = Mass x VelocityTo compute momentum in Fortran, you will first need to declare variables for the mass and velocity of the object. You can then ask the user to input the mass and velocity values. Once you have obtained the input values, you can perform the calculation using the formula mentioned above.
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5 min readTo calculate the Simple Moving Average (SMA) in Kotlin, you first need to create a function that takes the list of numbers and the period as parameters. Then, iterate through the list using a for loop and calculate the sum of the numbers in the list for the specified period. Next, divide the sum by the period to get the moving average. Finally, return the moving average as the result. This function can be called whenever you need to calculate the SMA for a given set of numbers.