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import streamlit as st | |
import yfinance as yf | |
import plotly.graph_objs as go | |
from plotly.subplots import make_subplots | |
import pandas as pd | |
import numpy as np | |
import talib | |
import util | |
def main(): | |
ticker_data = util.get_ticker_data(ticker_symbol, data_period, data_interval) | |
if len(ticker_data) != 0: | |
ticker_data['fast_ema'] = talib.EMA(ticker_data['Close'], int(ema1)) | |
ticker_data['slow_ema'] = talib.EMA(ticker_data['Close'], int(ema2)) | |
ticker_data['rsi'] = talib.RSI(ticker_data['Close'], timeperiod=14) | |
ticker_data['sar'] = talib.SAR(ticker_data['High'], ticker_data['Low'], acceleration=0.02, maximum=0.2) | |
fig = make_subplots(rows=2, cols=1, shared_xaxes=True) | |
fig = util.get_candle_chart(fig, ticker_data) | |
fig = util.add_row_trace(fig, ticker_data.index, ticker_data['fast_ema'], 'fast EMA', 'yellow', 1) | |
fig = util.add_row_trace(fig, ticker_data.index, ticker_data['slow_ema'], 'slow EMA', 'blue', 1) | |
fig = util.add_row_trace(fig, ticker_data.index, ticker_data['sar'], 'Parabolic SAR', 'black', 1, mode='markers') | |
fig = util.add_row_trace(fig, ticker_data.index, ticker_data['rsi'], 'RSI', 'red', 2) | |
st.write(fig) | |
if __name__ == '__main__': | |
ticker_symbol = st.sidebar.text_input( | |
"Please enter the stock symbol", 'MSFT' | |
) | |
data_period = st.sidebar.text_input('Period', '10d') | |
data_interval = st.sidebar.radio('Interval', ['15m','30m','1h','1d']) | |
ema1 = st.sidebar.text_input('EMA 1', 20) | |
ema2 = st.sidebar.text_input('EMA 2', 50) | |
st.header("Super Complex Technical Analysis App :rocket:") | |
st.write("*Warning: This is just a programming guide from a guy on YouTube, not financial advice!* :sunglasses:") | |
main() |
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