How To Compute Fibonacci Retracements in MATLAB?

@dion.waelchi 

To compute Fibonacci retracements in MATLAB, you can use the following steps:

1. Define the high and low points of the price movement you want to analyze.
2. Calculate the difference between the high and low points.
3. Calculate the Fibonacci retracement levels by multiplying the difference between the high and low points by the Fibonacci ratios (23.6%, 38.2%, 50%, 61.8%, and 100%).
4. Add or subtract the calculated Fibonacci retracement levels from the high or low point to get the price levels where potential support or resistance may occur.

Here is some sample MATLAB code to compute Fibonacci retracements:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19

% Define the high and low points
high_point = 100;
low_point = 50;

% Calculate the difference between the high and low points
price_difference = high_point - low_point;

% Calculate Fibonacci retracement levels
fibonacci_levels = [0.236, 0.382, 0.5, 0.618, 1];
fibonacci_retracements = price_difference * fibonacci_levels;

% Compute potential support or resistance levels
fibonacci_support = low_point + fibonacci_retracements;
fibonacci_resistance = high_point - fibonacci_retracements;

% Display the Fibonacci retracement levels
disp(['Fibonacci Retracement Levels: ', num2str(fibonacci_retracements)]);
disp(['Potential Support Levels: ', num2str(fibonacci_support)]);
disp(['Potential Resistance Levels: ', num2str(fibonacci_resistance)]);

You can modify the code above based on the specific data and price movement you want to analyze. Additionally, you can plot the Fibonacci retracement levels on a price chart using MATLAB's plotting functions to visually analyze potential support and resistance levels.