Import Chartink data into Python
Import Chartink data into Python Importing Chartink data into Python allows traders, investors, and finance enthusiasts to harness the power of this popular technical analysis platform for in-depth data analysis. In this guide, we will explore the process of seamlessly integrating Chartink data into Python, enabling users to leverage its extensive financial datasets. We will cover essential steps such as accessing Chartink APIs, retrieving historical and real-time data, and performing data cleaning and preprocessing. By the end, you will have the knowledge to import and analyze Chartink data within Python, empowering you to make informed decisions and gain valuable insights in the world of finance. Sample Code :- import pandas as pd import requests from bs4 import BeautifulSoup as bs url = "https://chartink.com/screener/process" condition = { "scan_clause" : "( {cash} ( latest rsi( 9 ) > latest wma( latest rsi( 9 ) , 21 ) and 1 day ago rsi( 9 ) <...