How to read stock data in csv file into netlogo?

by allison.prohaska , in category: Technical Analysis , 3 months ago

How to read stock data in csv file into netlogo?

Facebook Twitter LinkedIn Whatsapp

1 answer

by winifred.greenfelder , 3 months ago

@allison.prohaska 

To read stock data from a CSV file into NetLogo, you can follow these steps:

  1. Create a new NetLogo model or open an existing model.
  2. Import the csv extension by adding extensions [csv] to the top of your NetLogo code.
  3. Use the file-read-line function to read the CSV file line by line.
  4. Parse each line of the CSV file using the csv:from-row function to convert it into a NetLogo list.
  5. Store the parsed data into appropriate variables or data structures within your NetLogo model.


Here's an example code snippet to illustrate this process:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
extensions [csv]

to setup
  clear-all
  file-open "your_file_path.csv" ; Replace with the actual path to your CSV file
  
  while [ not file-at-end? ] [
    let line file-read-line
    if line != null [
      let data csv:from-row line
      ; Process the data and store it in your NetLogo variables or data structures
      ; For example, you could extract and store values like:
      let stockName item 0 data
      let stockPrice item 1 data
      
      ; Do further processing as needed
      
      ; Add the data to turtles, patches, or any other entities in your model
      create-turtles 1 [
        set shape "circle"
        set color blue
        set size your_scaling_function stockPrice ; Replace with appropriate scaling function
      ]
    ]
  ]
  
  file-close
end


Make sure to replace "your_file_path.csv" with the actual file path of your CSV file. Modify the code within the if line != null condition to suit your specific data needs.


Note: The above code assumes that the CSV file has two columns: stock name and stock price. You can modify the code accordingly if your CSV file has a different structure.