Posts (page 144)
-
4 min readTo compute Chaikin Money Flow (CMF) using Swift, you can follow these general steps:Define the necessary variables such as the period length for CMF calculation and arrays to store high, low, close, and volume values. Calculate the Money Flow Multiplier (MF Multiplier) for each period using the formula: MF Multiplier = ((Close - Low) - (High - Close)) / (High - Low) Calculate the Money Flow Volume (MFV) for each period by multiplying the MF Multiplier by the period's volume.
-
7 min readIn Rust, you can call a method on each element while iterating using the iter() method. This method creates an iterator over a collection, allowing you to call methods such as map(), filter(), or any custom method on each element in the collection. This enables you to apply transformations or perform operations on the elements while iterating over them. It is a convenient way to manipulate elements within a collection without having to manually loop over each element.
-
5 min readTo compute Chaikin Money Flow (CMF) in R, you can use the "TTR" package which provides a function called "CMF". First, load the "TTR" package using the command "library(TTR)". Then, use the "CMF" function with the parameters "HLC" for high, low, and close prices, and "VOL" for volume. This will calculate the Chaikin Money Flow indicator for the given data.
-
7 min readIn Rust, you can send and listen to data via Unix sockets by using the std::os::unix::net module. To send data, you can create a Unix datagram socket using the UnixDatagram::bind function and then use the send_to or send method to send the data. To listen for incoming data, you can create a Unix listener socket using the UnixListener::bind function and then accept connections using the accept method.When sending data, you can use the socket_addr module to specify the address of the Unix socket.
-
7 min readCalculating the momentum in SQL involves analyzing a time series dataset to understand the rate of change of a particular variable over a specific period. This can be achieved by calculating the difference between the current value of the variable and its value at a previous time point. Momentum can provide insights into the direction and strength of trends in the data, and is often used in financial analysis to predict future price movements.
-
4 min readIn order to authenticate a user on a Substrate chain in Rust, you can use the account_id::AccountID::from_ss58check() function to convert a string representation of an address to an AccountID struct. This struct can then be used to verify the authenticity of a user on the blockchain. Additionally, you can use the frame_identity::Identity::verify() function to authenticate and validate a user's identity on the blockchain.
-
5 min readIn Rust, returning "!" signifies that a function will never return a value or complete its execution. This symbol represents the type "never", which indicates that the function will always panic or encounter an unrecoverable error. This can be useful for situations where a function is designed to terminate the program rather than returning a specific value. It ensures that the program will not try to continue executing if the function encounters a critical error.
-
7 min readThe Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range between a series of highs and lows. In Kotlin, you can implement the ATR indicator by first collecting a series of high and low price data points for a given period.
-
3 min readIn Rust, you can return a function that returns a trait by defining a trait object as the return type of the function. To do this, first define a trait that specifies the behavior you want the returned function to have. Then create a function that returns a Box where Trait is the name of the trait you defined. This Box is a trait object that can store any type that implements the Trait.
-
7 min readThe Rate of Change (ROC) is a technical indicator used in financial analysis to measure the speed at which a variable is changing. In Clojure, you can calculate the ROC of a dataset by first identifying the initial value and the final value of the variable you are measuring. Then, divide the difference between the final value and the initial value by the initial value, and multiply the result by 100 to get the percentage change.
-
5 min readIn Rust, closures can capture variables from their surrounding scope. To return a reference inside a closure, you need to ensure that the reference outlives the closure itself. This can be achieved by using the 'move' keyword to force the closure to take ownership of the variables it captures. By doing this, the closure can return a reference to those variables without worrying about their lifetime.
-
5 min readIn SQL, you can calculate Fibonacci extensions using recursive queries to generate the Fibonacci sequence. The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers. By calculating the Fibonacci sequence, you can determine Fibonacci extensions by multiplying each Fibonacci number by a specified factor. This can be useful for predicting potential future support or resistance levels in financial markets or analyzing patterns in numerical data.