Posts (page 8)
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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.
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5 min readIn Clojure, volume analysis refers to the study and interpretation of trading volume data in financial markets. Volume plays a crucial role in technical analysis as it provides valuable insights into market trends and price movements.Clojure, being a functional programming language, offers various tools and libraries that can be utilized for volume analysis.
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5 min readMoving averages (MA) are a commonly used technical analysis tool in the stock market to analyze trends and identify potential entry and exit points for trades. In Ruby, implementing moving averages is relatively straightforward using the built-in capabilities of the language.To calculate a simple moving average (SMA), you can create a method that takes in an array of numbers representing the closing prices of a stock over a certain period of time.
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7 min readThe Relative Strength Index (RSI) is a technical indicator used in financial market analysis to determine the momentum of a market. It is a mathematical formula that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. This indicator is commonly used by traders and investors to make informed decisions on buying, selling, or holding financial assets.
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6 min readTo calculate pivot points using Python, you first need to have the high, low, and close prices of a financial instrument for a specific period. These values are used in the calculation of pivot points, which can help traders determine potential support and resistance levels in the market.The formula for calculating pivot points involves finding the average of the high, low, and close prices for the previous period, and using this value to calculate different support and resistance levels.
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6 min readTo compute Fibonacci extensions using Ruby, you can start by creating a method that calculates the Fibonacci sequence up to a certain number of terms. Once you have the sequence, you can then calculate the Fibonacci extensions by multiplying the last Fibonacci number by the Fibonacci ratios (0.618, 1, 1.618, etc.).You can store the Fibonacci sequence in an array and use that array to calculate the extensions.
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5 min readTo compute Williams %R in VB.NET, you can use the following formula:Williams %R = (Highest High - Close) / (Highest High - Lowest Low) * -100You will need to iterate through your data to calculate the Highest High and Lowest Low values, and then use these values along with the closing price to calculate the Williams %R value for each data point.[rating:e7d6ab69-30b7-47df-928e-7baf86754500]What are some common strategies for trading with Williams %R.