stock market prediction using python code example
Example 1: live stock market data python
import urllib.request import json class GoogleFinanceAPI: def __init__(self): self.prefix = "http://finance.google.com/finance/info?client=ig&q=" def get(self,symbol,exchange): url = self.prefix+"%s:%s"%(exchange,symbol) u = urllib.request.urlopen(url) content = u.read().decode('utf-8') obj = json.loads(content[3:]) return obj[0] if __name__ == "__main__": c = GoogleFinanceAPI() quote = c.get("RELIANCE","NSE") print(quote)
Example 2: python stock prediction code
from pandas_datareader import data
import matplotlib.pyplot as plt
import pandas as pd
import datetime as dt
import urllib.request, json
import os
import numpy as np
import tensorflow as tf
from sklearn.preprocessing import MinMaxScaler