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  • Calculate On-Balance Volume (OBV) In C++? preview
    6 min read
    On-Balance Volume (OBV) is a technical analysis indicator that measures positive and negative volume flow. It can help traders identify whether there is buying or selling pressure on a particular asset.To calculate OBV in C++, you would typically iterate through the historical price data of the asset and compare the current volume to the previous volume. If the current closing price is higher than the previous closing price, you add the current volume to the OBV.

  • How To Calculate Average Directional Index (ADX) In Clojure? preview
    5 min read
    To calculate Average Directional Index (ADX) in Clojure, you first need to gather the necessary data including high, low, and closing prices for a specific time period. Then, calculate the True Range (TR), Positive Directional Movement (+DM), and Negative Directional Movement (-DM) using the high and low prices.Next, calculate the Directional Movement Index (DX) by dividing the absolute difference between +DM and -DM by the sum of +DM and -DM.

  • How To Create Moving Average Convergence Divergence (MACD) Using Go? preview
    5 min read
    To create Moving Average Convergence Divergence (MACD) using Go, you first need to calculate the Exponential Moving Averages (EMAs) of the closing prices of the stock or asset you are analyzing. Typically, a 12-period EMA and a 26-period EMA are used for the MACD calculation.Once you have calculated the EMAs, subtract the 26-period EMA from the 12-period EMA to get the MACD line. This line represents the convergence and divergence of the two moving averages.

  • Calculating the Pivot Points In C++? preview
    6 min read
    To calculate pivot points in C++, you first need to have the high, low, and closing prices of a financial asset for a given period. The pivot point is a technical analysis indicator used to determine potential support and resistance levels for a security.To calculate the pivot point, you can use the following formula:Pivot Point = (High + Low + Close) / 3Once you have calculated the pivot point, you can also determine support and resistance levels using additional formulas.

  • Using the Support And Resistance Levels Using C++? preview
    4 min read
    In 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.

  • Compute Stochastic Oscillator In JavaScript? preview
    7 min read
    A 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.

  • Calculating the Bollinger Bands Using SQL? preview
    6 min read
    Calculating 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.

  • Calculating the Chaikin Money Flow (CMF) Using JavaScript? preview
    5 min read
    To 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.

  • Using the Simple Moving Average (SMA) Using Perl? preview
    8 min read
    To 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.

  • Calculate On-Balance Volume (OBV) Using Clojure? preview
    4 min read
    To 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.

  • How To Compute Commodity Channel Index (CCI) Using Scala? preview
    6 min read
    To 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.