import pandas as pd
import requests
from bs4 import BeautifulSoup


def start():
    indices = ["us-30", "nasdaq-composite", "us-spx-500"]


    def get_rsi(tick):
        page = requests.get('https://www.investing.com/indices/' + tick + "-technical", headers={"user-agent": "Chrome"})
        soup = BeautifulSoup(page.content, 'html.parser')
        summary = soup.find(id="techStudiesInnerWrap")
        name = soup.find("td", class_="first left symbol", string="RSI(14)")
        value = name.find_next('td')
        action = value.find_next('td')
        return  name.text, value.text, action.span.text

    name_list=[]
    rsi_list=[]
    action_list=[]

    for index in indices:
        name,rsi,action = get_rsi(index)
        name_list.append(name)
        rsi_list.append(rsi)
        action_list.append(action)
        
            
    rsi_action = {"INDEX": indices,"NAME":name_list,"RSI":rsi_list,"ACTION":action_list}
    df=pd.DataFrame.from_dict(rsi_action, orient='index')
    print(df.transpose())
    print("--------------------------------------------------------\n")
    print("--------------------------------------------------------\n")
    
while True:
    start()
    time.sleep(2)

Output:
 INDEX     NAME     RSI   ACTION
0             us-30  RSI(14)  53.956  Neutral
1  nasdaq-composite  RSI(14)  57.699      Buy
2        us-spx-500  RSI(14)  56.590      Buy