Stocks

getstocksdata.py

import threading
import time
from nsetools import Nse
from pprint import pprint

nse = Nse()
allStocks = nse.get_stock_codes()

def get_stock_info(stock):
    try:
        data = nse.get_quote(stock)
        if data != None and "companyName" in data:
            print(f"{data['symbol']} Low: {data['low52']} High: {data['high52']} Current: {data['lastPrice']}")
    except:
        pass

threads = []

counter = 0
for stock in allStocks:
    # To avoid rate limit
    # if counter == 5:
    #     break
    threads.append(threading.Thread(target=get_stock_info, args=(stock,)))
    # counter += 1

for thread in threads:
    thread.start()
    # To avoid rate limit
    time.sleep(1)

for thread in threads:
    thread.join()

processstocks.py

import operator

class stock:
    def __init__(self, name: str, low: float, high: float, price: float):
        self.name: str      = name
        self.low: float     = float(low)
        self.high: float    = float(high)
        self.price: float   = float(price)
        self.predict: float = round(100.00 - ((self.price / self.high) * 100), 2)

    def __repr__(self):
        return f"Stock(Name={self.name}, Low={self.low}, High={self.high}, Current={self.price}, FromPeak={self.predict}%)"

stocks: [stock] = []

with open("./stocks.txt", "r") as myfile:
    while True:
        line = myfile.readline().strip()

        if not line:
            break

        temp = line.split()
        s = stock(temp[0], temp[2], temp[4], temp[6])
        stocks.append(s)

stocks.sort(key=operator.attrgetter('predict'), reverse=True)

for stock in stocks:
    print(stock)