Posts (page 8)
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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.
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6 min readThe Relative Strength Index (RSI) is a popular momentum oscillator that measures the speed and change of price movements. It is commonly used by traders to identify overbought or oversold conditions in a market.To calculate the RSI using Swift, you will need to first collect historical price data for the asset you are interested in analyzing. This data typically consists of closing prices for a specified period, such as the past 14 days.
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6 min readTo create Parabolic SAR (Stop and Reverse) in Lua, you can start by defining the variables needed for the calculation such as the acceleration factor (AF), initial and maximum AF values, and the current SAR value.Next, you can initialize the SAR value to the low of the first period and set the initial AF value. Then, loop through the price data to calculate the SAR for each period.
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9 min readIn order to calculate support and resistance levels using Golang, you can start by gathering historical price data for the asset you are analyzing. This data should include the highs, lows, and closing prices over a specific time period.Next, you can use this data to identify the key support and resistance levels. Support levels are areas where the price tends to find support as it falls, while resistance levels are areas where the price tends to find resistance as it rises.
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6 min readBollinger Bands are a technical analysis tool that help to identify potential price breakouts and reversals in the financial markets. These bands consist of a middle band, which is typically a simple moving average, and upper and lower bands that are calculated based on the standard deviation of the price movements.In C#, you can implement Bollinger Bands by using libraries such as MathNet.Numerics to calculate the moving average and standard deviation of the price data.
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9 min readThe Chaikin Oscillator is a technical analysis tool that combines volume and price indicators to help traders identify potential buy or sell signals. It can be particularly helpful for scalping, which is a short-term trading strategy focused on making quick profits from small price movements.To understand how to read the Chaikin Oscillator for scalping, it is important to grasp the basics of the indicator.
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11 min readThe Money Flow Index (MFI) is a popular technical indicator used in stock trading and analysis. It measures the strength and momentum of money flowing in and out of a particular stock or market. The MFI helps traders identify overbought and oversold conditions, as well as potential trend reversals.To read the MFI, you need to look at two key components: the price and the volume.