Posts (page 6)
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7 min readTo compute the Ichimoku Cloud using Clojure, you can write a program that follows the mathematical formulas for calculating the components of the Ichimoku Cloud. This includes calculating the Tenkan-sen (Conversion Line), Kijun-sen (Base Line), Senkou Span A, Senkou Span B, and the Chikou Span.
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8 min readIn Julia, you can compute pivot points by using mathematical formulas that calculate the support and resistance levels for a financial instrument. These pivot points are used by traders to determine potential turning points in the market and make decisions on when to buy or sell a security.
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6 min readIn this tutorial, we will be exploring how to calculate and plot the Relative Strength Index (RSI) using Python. RSI is a popular technical indicator used to determine whether a stock is overbought or oversold.We will first cover the formula for calculating RSI, which involves using an exponential moving average to calculate the average gains and losses over a specified period.Next, we will walk through the process of implementing this formula using Python code.
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8 min readUsing the On-Balance Volume (OBV) in Go involves tracking the cumulative trading volume of a financial instrument over a specified period of time. OBV is used to confirm price trends and anticipate potential reversals. By analyzing the relationship between volume and price movements, traders can gain insight into market sentiment and make informed trading decisions. In Go, OBV can be calculated and plotted on a chart using various libraries and tools available in the programming language.
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5 min readTo create Commodity Channel Index (CCI) in Dart, you first need to gather historical price data for the asset or commodity you are interested in analyzing. The CCI is calculated using a simple mathematical formula that takes into account the average price, the simple moving average of the typical price, and a multiple of the mean deviation.Once you have the historical price data, you can start calculating the CCI for each data point.
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5 min readTo calculate the Ichimoku Cloud in Ruby, you will need to first collect the high, low, and close prices of the asset you are interested in analyzing. Then, you can use a series of calculations to determine the components of the Ichimoku Cloud, which includes 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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10 min readBollinger Bands is a technical analysis tool used to measure the volatility of a stock or other security. It consists of a simple moving average line, typically set at 20 periods, along with upper and lower bands that are two standard deviations above and below the moving average. Traders use Bollinger Bands to identify potential price breakouts, trends, and reversals.
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8 min readA stochastic oscillator is a momentum indicator that compares a security’s closing price to its price range over a specific period of time. In Fortran, you can compute the stochastic oscillator by calculating the %K and %D values using the following formula:%K = (Current Close - Lowest Low) / (Highest High - Lowest Low) * 100 %D = 3-day moving average of %KYou can then plot these values on a chart to identify overbought and oversold conditions in the market.
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7 min readTo compute Ichimoku Cloud using Lua, you would need to calculate the values of the nine different components that make up the Ichimoku Cloud: Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, Chikou Span, and three additional components used for graphical representations. These values are typically calculated based on a specified time period, such as a 26-period high and low for the Tenkan-sen and Kijun-sen lines.
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5 min readThe Williams %R is a technical indicator used in financial market analysis to determine overbought or oversold conditions in a price trend. In Erlang, the Williams %R can be implemented using mathematical calculations within a program to analyze historical price data and generate trading signals. By monitoring the Williams %R values, traders can make informed decisions on when to buy or sell assets based on the indicator's readings.
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7 min readSupport and resistance levels can be calculated in Visual Basic by analyzing historical price data of a financial asset. Support levels are levels at which the price of an asset tends to stop falling and bounces back up. Resistance levels, on the other hand, are levels at which the price of an asset tends to stop rising and reverses its direction.
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5 min readOn-Balance Volume (OBV) is a technical analysis tool used to track the flow of volume in and out of a security. It is calculated by adding the volume on days when the price closes higher than the previous day's close, and subtracting the volume on days when the price closes lower than the previous day's close.In Julia, you can compute the OBV for a given security by first importing the necessary packages such as DataFrames and Plots.