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4 min readIn technical analysis, Support and Resistance levels are crucial in understanding the behavior of the market and making informed trading decisions. Support level is a price level at which a stock or market tends to stop falling and bounce back up, while Resistance level is a price level at which a stock or market tends to stop rising and start to decline.
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7 min readA stochastic oscillator is a technical analysis tool used to determine overbought or oversold conditions of a security. In JavaScript, you can compute the stochastic oscillator by first calculating the %K and %D values using a set formula. %K is calculated by taking the closing price of the security, subtracting the lowest low price over a specified period, and dividing by the highest high price minus the lowest low price over the same period.
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6 min readCalculating Bollinger Bands using SQL involves several steps. First, you need to calculate the moving average of a particular dataset over a specified period (e.g. 20 days). Next, calculate the standard deviation of the dataset over the same period. Finally, calculate the upper and lower bands by adding and subtracting two times the standard deviation from the moving average. By executing these calculations in SQL, you can create a table that displays the Bollinger Bands for the dataset.
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5 min readTo calculate the Chaikin Money Flow (CMF) using JavaScript, you first need to gather the necessary data, which typically includes the closing prices, high prices, low prices, and volume for a specific financial instrument over a certain period of time.Once you have the data, you can proceed to calculate the Money Flow Multiplier (MFM) for each period by finding the typical price (average of high, low, and close) and multiplying it by the volume.
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8 min readTo use the Simple Moving Average (SMA) in Perl, you can create a function that calculates the average of a specified number of previous data points. First, you would need to define an array to store the data points and specify the number of periods to consider for the moving average calculation. Then, you can iterate through the array to calculate the average of the specified number of data points using a sliding window approach.
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4 min readTo calculate On-Balance Volume (OBV) using Clojure, you first need to define the OBV calculation formula. OBV is calculated by keeping a running total of volume flows. If the closing price is higher than the previous day's closing price, the volume is added to the OBV. If the closing price is lower, the volume is subtracted.You can implement this calculation in Clojure by iterating over the dataset of closing prices and volumes, and applying the logic described above to calculate the OBV.
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6 min readTo compute the Commodity Channel Index (CCI) using Scala, you first need to calculate the typical price, which is the average of the high, low, and close prices of a security. Then, you calculate the mean deviation, which is the average of the absolute differences between the typical price and the simple moving average of the typical price over a specified period.After calculating the mean deviation, you can compute the CCI using the formula:CCI = (Typical Price - SMA of Typical Price) / (0.
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8 min readTo create Chaikin Money Flow (CMF) in Python, you can start by importing the necessary libraries such as pandas and NumPy. Next, you can calculate the accumulation/distribution (AD) line and the money flow multiplier. After that, you can calculate the money flow volume and use it to calculate the CMF. Finally, you can plot the CMF on a chart to visualize the trends and make informed trading decisions.
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8 min readBollinger Bands are a technical analysis tool created by John Bollinger in the 1980s. They consist of a simple moving average line, typically set at 20 periods, and two standard deviation lines above and below the moving average. These bands are used to measure volatility and identify potential overbought or oversold conditions in the market.In this tutorial, we will be implementing Bollinger Bands using the Erlang programming language.
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6 min readTo calculate Moving Averages (MA) in Swift, you will first need to define the period over which you want to calculate the average. This period can be any number of periods, such as days, weeks, months, etc.Next, you will need to create an array of data points that you want to calculate the moving average for. This data could be the closing prices of a stock over a certain period, for example.
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3 min readTo calculate Bollinger Bands in Go, you would typically use a library or implement the calculations manually. Bollinger Bands are a technical analysis tool that consist of a middle band (usually a simple moving average), an upper band (calculated by adding a standard deviation value to the middle band), and a lower band (calculated by subtracting a standard deviation value from the middle band).