Shashank Vemuri shashankvemuri
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| #import the libraries | |
| import math | |
| import warnings | |
| import datetime | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from tensorflow.keras import Sequential | |
| from pandas_datareader import DataReader | |
| from sklearn.preprocessing import MinMaxScaler |
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| import yfinance as yf | |
| import streamlit as st | |
| import datetime | |
| import talib | |
| import ta | |
| import pandas as pd | |
| import requests | |
| yf.pdr_override() |
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| st.write(""" | |
| # Technical Analysis Web Application | |
| Shown below are the **Moving Average Crossovers**, **Bollinger Bands**, **MACD's**, **Commodity Channel Indexes**, and **Relative Strength Indexes** of any stock! | |
| """) | |
| st.sidebar.header('User Input Parameters') | |
| today = datetime.date.today() | |
| def user_input_features(): | |
| ticker = st.sidebar.text_input("Ticker", 'AAPL') |
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| # Adjusted Close Price | |
| st.header(f"Adjusted Close Price\n {company_name}") | |
| st.line_chart(data['Adj Close']) | |
| # ## SMA and EMA | |
| #Simple Moving Average | |
| data['SMA'] = talib.SMA(data['Adj Close'], timeperiod = 20) | |
| # Exponential Moving Average | |
| data['EMA'] = talib.EMA(data['Adj Close'], timeperiod = 20) |
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| import yfinance as yf | |
| import streamlit as st | |
| import datetime | |
| import talib | |
| import ta | |
| import pandas as pd | |
| import requests | |
| yf.pdr_override() | |
| st.write(""" |
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| import requests | |
| import yahoo_fin.stock_info as si | |
| from flask import render_template | |
| def get_balance_sheet(ticker): | |
| try: | |
| def get_symbol(symbol): | |
| url = "http://d.yimg.com/autoc.finance.yahoo.com/autoc?query={}®ion=1&lang=en".format(symbol) | |
| result = requests.get(url).json() | |
| for x in result['ResultSet']['Result']: |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> | |
| <title>TradeView - Balance Sheet</title> | |
| <script src="sort-table.js"></script> | |
| <link rel="stylesheet" href="sort-table.css"> | |
| <link rel="stylesheet" href="https://unpkg.com/[email protected]/build/pure-min.css" integrity="sha384-cg6SkqEOCV1NbJoCu11+bm0NvBRc8IYLRGXkmNrqUBfTjmMYwNKPWBTIKyw9mHNJ" crossorigin="anonymous"> |
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| import numpy as np | |
| import pandas as pd | |
| import yfinance as yf | |
| import datetime as dt | |
| import matplotlib.pyplot as plt | |
| import mplfinance as mpf | |
| from finta import TA | |
| from pylab import rcParams | |
| from yahoo_fin import stock_info as si | |
| import talib |
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| import numpy as np | |
| import pandas as pd | |
| import yfinance as yf | |
| import datetime as dt | |
| import matplotlib.pyplot as plt | |
| import mplfinance as mpf | |
| from finta import TA | |
| from pylab import rcParams | |
| from yahoo_fin import stock_info as si | |
| import talib |
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| for signal in signals: | |
| if signal.lower() == 'moving average': | |
| print ('-'*60) | |
| print ('Simple Moving Average: ') | |
| # Let's calulate Simple Moving Average(SMA) | |
| short_sma= 20 | |
| long_sma = 50 | |
| SMAs=[short_sma, long_sma] | |
| for i in SMAs: |