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Harelkarni
commited on
Commit
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6e5474c
1
Parent(s):
97c6c3b
Create app.py
Browse files
app.py
ADDED
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import streamlit as st
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import pandas as pd
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import yfinance as yf
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import matplotlib.pyplot as plt
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import requests
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import json
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import io
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url_stocks = "https://financialmodelingprep.com/api/v3/stock/list?apikey="
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url_sentiment = "https://yaakovy-fin-proj-docker.hf.space/ticker/"
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def get_max_sentiment(row):
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max_value = max(row['neg'], row['neu'], row['pos'])
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if max_value == row['neg']:
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return 'neg'
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elif max_value == row['neu']:
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return 'neu'
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else:
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return 'pos'
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def get_sentiment_data(stock_info):
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symbol = stock_info.info['symbol']
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url_sentiment_with_ticker = f"{url_sentiment}{symbol}"
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response = requests.get(url_sentiment_with_ticker)
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if response.status_code == 200:
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json_data = json.loads(response.json())
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df = pd.DataFrame(json_data)
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df['sentiment'] = df.apply(get_max_sentiment, axis=1)
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df = df.drop(['neg', 'neu', 'pos', 'sentiment_score'], axis=1)
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return df
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else:
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return
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def print_sentiment(stock_info):
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df = get_sentiment_data(stock_info)
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st.write("Market Sentiment")
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st.dataframe(df, hide_index =True )
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def print_stock_info(stock_info):
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stock_info_html = get_stock_info_from_html(stock_info.info)
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st.write(stock_info_html, unsafe_allow_html=True)
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plot_graph(stock_info)
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col1, col2 = st.columns([0.8, 0.2])
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with col1:
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st.pyplot(plt)
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with col2:
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tf = st.radio(
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"Select Time Frame",
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["1Y", "3Y", "5Y"], index=2,
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key="chart_time_frame",
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)
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def get_stock_info_from_html(stock_info):
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si = stock_info
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text = (f"<b>Comp. Name: </b> {si['longName']}, {si['city']}, {si['state']} {si['country']} <br>"
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f"<b>Web site: </b> <a href=\"{si['website']}\">{si['website']}</a> <br>"
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f"<b>Stock Price: </b> {si['currentPrice']} {str(si['financialCurrency'])}")
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return text
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def plot_graph(stock_info):
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period = st.session_state.chart_time_frame or "5Y"
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history = stock_info.history(period=period)
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name = stock_info.info['longName']
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plt.plot(history['Close'])
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plt.xlabel('Date')
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plt.ylabel('Price')
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plt.title(f"{name} Stock Price")
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return plt
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st.title('_My Crystal Ball_')
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par1 = "It allows users to stay informed about the latest market trends and make informed decisions about their investments."
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par2 = "To get started, simply select whether you want information on currencies or stocks:<br> "\
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"<ul><li><strong>Currencies</strong><br>Choose from a wide range of currencies to view the latest exchange rates, historical data, and charts.</li>"\
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"<li><strong>Stocks</strong><br>Search for specific stocks to view real-time prices, historical data, news, and more.</li></ul>"
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st.write(par1, unsafe_allow_html=True)
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st.write(par2, unsafe_allow_html=True)
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if 'chart_time_frame' not in st.session_state:
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st.session_state['chart_time_frame'] = '5Y'
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if 'data_available' not in st.session_state:
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st.session_state['data_available'] = False
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option = st.selectbox("select", ["", "Currencies", "Stocks"], placeholder="Choose an option", label_visibility = "hidden")
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if option == "Currencies":
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input_text = "Enter currency pair"
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else:
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input_text = "Enter stock symbol"
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text_box: str = None
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btn_get_data = None
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if option:
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text_box = st.text_input(input_text)
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with st.spinner('Wait for it...'):
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if text_box:
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ticker = text_box.upper()
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try:
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stock_info = yf.Ticker(ticker)
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stock_info.info['longName']
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except:
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st.error('Ticker not found', icon="🚨")
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st.session_state['data_available'] = False
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else:
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st.session_state['data_available'] = True
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print_stock_info(stock_info)
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print_sentiment(stock_info)
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