Delete app.py

app.py

@@ -1,92 +0,0 @@
-import streamlit as st
-import pandas as pd
-import yfinance as yf
-import plotly.graph_objs as go
-from datetime import datetime, timedelta
-from newsapi import NewsApiClient
-
-# Define the News API client
-newsapi = NewsApiClient(api_key='30f892ddb31d43709e5a7a77833f824a')
-
-# Define the layout using Streamlit components
-st.title('Stonks20.com')
-stock_symbol = st.text_input('Enter the stock symbol:', 'AAPL')
-date_range = st.date_input('Select the dates:', [(datetime.today() - timedelta(days=365)).date(), datetime.today().date()])
-submit_button = st.button('Submit')
-
-# Fetch stock data and update the graphs
-if submit_button:
-    try:
-        start_date, end_date = date_range
-        stock_data = yf.download(stock_symbol, start=start_date, end=end_date)
-
-        # Create a Candlestick chart
-        candlestick_fig = go.Figure(data=[go.Candlestick(x=stock_data.index,
-                                                         open=stock_data['Open'],
-                                                         high=stock_data['High'],
-                                                         low=stock_data['Low'],
-                                                         close=stock_data['Close'])])
-        candlestick_fig.update_layout(
-            title=f'{stock_symbol} Stock Price',
-            xaxis_title='Date',
-            yaxis_title='Price',
-            autosize=True
-        )
-        st.plotly_chart(candlestick_fig)
-
-        # Create a Volume chart
-        volume_fig = go.Figure(data=[go.Bar(x=stock_data.index,
-                                            y=stock_data['Volume'])])
-        volume_fig.update_layout(
-            title='Volume',
-            xaxis_title='Date',
-            yaxis_title='Volume',
-            autosize=True
-        )
-        st.plotly_chart(volume_fig)
-
-        # Create a Moving Average chart
-        moving_average_fig = go.Figure(data=[
-            go.Scatter(x=stock_data.index, y=stock_data['Close'], name='Price'),
-            go.Scatter(x=stock_data.index, y=stock_data['Close'].rolling(window=50).mean(), name='50-day MA'),
-            go.Scatter(x=stock_data.index, y=stock_data['Close'].rolling(window=200).mean(), name='200-day MA')
-        ])
-        moving_average_fig.update_layout(
-            title='Moving Averages',
-            xaxis_title='Date',
-            yaxis_title='Price',
-            autosize=True
-        )
-        st.plotly_chart(moving_average_fig)
-
-        # Create an RSI chart
-        delta = stock_data['Close'].diff()
-        gain = delta.mask(delta < 0, 0)
-        loss = -delta.mask(delta > 0, 0)
-        avg_gain = gain.rolling(window=14).mean()
-        avg_loss = loss.rolling(window=14).mean()
-        rs = avg_gain / avg_loss
-        rsi = 100 - (100 / (1 + rs))
-
-        rsi_fig = go.Figure(data=[go.Scatter(x=stock_data.index, y=rsi, name='RSI', line=dict(color='blue'))])
-        rsi_fig.update_layout(
-            title='Relative Strength Index (RSI)',
-            xaxis_title='Date',
-            yaxis_title='RSI',
-            autosize=True
-        )
-        st.plotly_chart(rsi_fig)
-
-    except Exception as e:
-        st.error(f'Error: {str(e)}')
-
-# Display news articles
-news_articles = newsapi.get_everything(q=stock_symbol, language='en', sort_by='publishedAt')['articles']
-if news_articles:
-    st.subheader('News')
-    for article in news_articles:
-        st.markdown(f"## {article['title']}")
-        st.markdown(article['description'])
-        st.markdown(f"[Read More]({article['url']})")
-else:
-    st.warning('No news articles found for the given stock symbol.')