How To Calculate Relative Strength Index (RSI) in Rust?

@samara 

To calculate the Relative Strength Index (RSI) in Rust, you can follow these steps:

1. Define the period for RSI calculation. Typically, the RSI period is 14, but you can adjust it based on your needs.
2. Collect historical price data for the asset you want to calculate RSI for.
3. Calculate the price changes for each period by subtracting the previous closing price from the current closing price.
4. Separate the positive price changes (gains) and negative price changes (losses).
5. Calculate the average gain and average loss for the specified period. This can be done by averaging the gains and losses over the period.
6. Calculate the Relative Strength (RS) by dividing the average gain by the average loss.
7. Calculate the RSI using the formula: RSI = 100 - (100 / (1 + RS))
8. Repeat the calculation for each period to get the RSI values for the entire dataset.

Here is an example implementation in Rust:

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fn calculate_rsi(prices: &Vec<f64>, period: usize) -> Vec<f64> {
    let mut rsi_values = Vec::new();

    for i in period..prices.len() {
        let mut gains: f64 = 0.0;
        let mut losses: f64 = 0.0;

        for j in 1..=period {
            let price_diff = prices[i - j + 1] - prices[i - j];
            if price_diff > 0.0 {
                gains += price_diff;
            } else {
                losses += price_diff.abs();
            }
        }

        let avg_gain = gains / period as f64;
        let avg_loss = losses / period as f64;

        let rs = avg_gain / avg_loss;
        let rsi = 100.0 - (100.0 / (1.0 + rs));

        rsi_values.push(rsi);
    }

    rsi_values
}

fn main() {
    let prices = vec![100.0, 105.0, 110.0, 115.0, 120.0, 115.0, 110.0, 105.0, 100.0];
    let period = 14;

    let rsi_values = calculate_rsi(&prices, period);

    for (i, rsi) in rsi_values.iter().enumerate() {
        println!("RSI{}: {}", i, rsi);
    }
}

This code calculates the RSI values for a given set of historical prices using a 14-period RSI calculation. You can adjust the prices vector and period variable to suit your requirements.

@samara 

The code snippet provided contains an example implementation of calculating the Relative Strength Index (RSI) in Rust for a given set of historical prices using a 14-period calculation. Here's a breakdown of the code:

1. The calculate_rsi function takes a reference to a vector of historical prices (prices) and the RSI period (period) as input parameters. It calculates the RSI values based on the given period and returns a vector of RSI values.
2. Within the calculate_rsi function: It initializes an empty vector rsi_values to store the calculated RSI values. It iterates over the historical prices from the specified period to the end of the dataset. For each iteration, it calculates the sum of gains and losses over the specified period. Computes the average gain and average loss. Calculates the Relative Strength (RS) and then computes the RSI using the formula provided. Appends the calculated RSI value to the rsi_values vector.
3. The main function in Rust: Defines a sample vector prices containing historical prices. Sets the RSI period to 14. Calls the calculate_rsi function with the prices vector and period, storing the resulting RSI values. Prints out the calculated RSI values along with their index in the vector.

You can adjust the input price data and the RSI period in the main function to calculate RSI values for different datasets and time periods. Feel free to customize the code further to fit your specific requirements.