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Posts (page 197)

  • Compute Fibonacci Extensions Using R? preview
    8 min read
    To compute Fibonacci Extensions using R, you can create a function that takes the Fibonacci Retracement levels as input and calculates the extension levels. You can use the following formula to calculate the Fibonacci Extension levels:Fibonacci Extension Level = H + (Fibonacci Retracement Level * (H - L))where H is the high point, L is the low point, and Fibonacci Retracement Level is the percentage level (e.g. 0.382, 0.618).

  • Fibonacci Extensions Using Java? preview
    5 min read
    Fibonacci extensions are tools used in technical analysis to predict potential areas of support and resistance in financial markets. These extensions are based on the Fibonacci sequence, a series of numbers in which each number is the sum of the two preceding numbers. In Java, Fibonacci extensions can be implemented using mathematical formulas and algorithms to calculate the extension levels.

  • Calculating the Ichimoku Cloud In TypeScript? preview
    7 min read
    To calculate the Ichimoku Cloud in TypeScript, you first need to understand the components of the Ichimoku Cloud indicator. It consists of five lines:Tenkan-sen (conversion line)Kijun-sen (base line)Senkou Span A (leading span A)Senkou Span B (leading span B)Chikou Span (lagging span)You would need to calculate these lines based on the high, low, and close prices of a financial instrument over a specific period.

  • Compute Volume Analysis In SQL? preview
    5 min read
    Volume analysis in SQL involves analyzing the size of the data stored in a database. This can include identifying the amount of data stored, the growth rate of data over time, and the distribution of data across various tables or columns. By computing the volume of data, SQL queries can help identify potential performance bottlenecks, optimize storage resources, and improve overall database efficiency.

  • Pivot Points Using F#? preview
    5 min read
    Pivot Points in Financial Trading are commonly used as indicators to help identify potential areas of support and resistance in a market. Using F# programming language, one can create algorithms to calculate these pivot points based on high, low, and closing prices of a financial instrument over a specified time period. By implementing F# code to calculate pivot points, traders can automate the process of identifying key price levels to inform their trading decisions.

  • How to Invest In Real Estate With A 401(K)? preview
    5 min read
    Investing in real estate with a 401(k) can be done through a self-directed 401(k) plan, also known as a solo 401(k) or an individual 401(k). With a self-directed 401(k), you have more control over how you invest your retirement funds, including the option to invest in real estate.To invest in real estate with a 401(k), you first need to open a self-directed 401(k) account with a custodian that allows for real estate investments.

  • Compute Support And Resistance Levels Using Haskell? preview
    6 min read
    Support and resistance levels are important concepts in technical analysis that can help traders identify potential price reversal points in the market. In Haskell, you can compute support and resistance levels by analyzing historical price data and identifying key levels where price has previously reversed direction.

  • How to Invest In Real Estate For Short-Term Gains? preview
    6 min read
    Investing in real estate for short-term gains involves seeking out properties that have the potential for quick appreciation or rental income. One strategy is flipping properties, which involves purchasing a property at a low price, making renovations or improvements, and selling it quickly for a profit. Another option is to invest in short-term rental properties, such as vacation homes or Airbnb rentals, which can generate income through short-term bookings.

  • Compute Fibonacci Extensions Using MATLAB? preview
    4 min read
    Fibonacci extensions can be computed using MATLAB by first calculating the Fibonacci sequence up to a desired number of terms. Once the Fibonacci numbers are obtained, extensions can be calculated by multiplying the difference between two adjacent Fibonacci numbers by various Fibonacci ratios such as 0.382, 0.618, 1.0, 1.382, 1.618, etc. These extensions can be useful for identifying potential levels of support and resistance in financial markets or predicting future price movements.

  • Calculating the Stochastic Oscillator Using SQL? preview
    6 min read
    The Stochastic Oscillator is a technical indicator used in trading to determine overbought or oversold conditions in a stock. It is calculated using the formula: %K = (Current Close - Lowest Low)/(Highest High - Lowest Low) * 100.To calculate the Stochastic Oscillator using SQL, you can use a window function to determine the highest high and lowest low values for a given period. Then, you can calculate the %K value using the formula mentioned above.

  • Parabolic SAR (Stop And Reverse) In Scala? preview
    6 min read
    Parabolic SAR (Stop and Reverse) is a technical analysis indicator used to determine the future direction of an asset's price movement. It is calculated based on the previous trading prices and is represented as a series of dots above or below the price chart.In Scala, Parabolic SAR can be implemented using mathematical calculations and conditional statements to determine when to buy or sell an asset based on the indicator's direction.

  • Using the Momentum Using Rust? preview
    4 min read
    Using the Momentum programming language using Rust allows developers to take advantage of Rust's safety and performance features while also leveraging Momentum's capabilities for asynchronous and event-driven programming. This combination can result in highly efficient and reliable applications that are able to handle large amounts of data and complex computation tasks.