Delete app.py

app.py

@@ -1,59 +0,0 @@
-import yfinance as yf
-import pandas as pd
-import plotly.graph_objects as go
-import streamlit as st
-import numpy as np
-
-# Place input fields in the sidebar
-sidebar = st.sidebar
-symbol = sidebar.text_input("Enter stock symbol:", "AAPL")
-period = sidebar.selectbox("Select period:", ["1d", "1wk", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max"])
-
-# Download stock data
-data = yf.download(symbol, period=period, interval='1d' if period in ['1d', '1wk'] else '1mo')
-
-# Calculate Moving Averages if there are enough data points
-if len(data) > 50:
-    data['MA50'] = data['Close'].rolling(window=50).mean()
-if len(data) > 200:
-    data['MA200'] = data['Close'].rolling(window=200).mean()
-if len(data) > 20:
-    data['MA20'] = data['Close'].rolling(window=20).mean()
-
-# Finding highest and lowest price for the Fibonacci Retracement Levels
-high_price = data['High'].max()
-low_price = data['Low'].min()
-
-# Calculate Fibonacci Levels
-fib_levels = [0, 0.236, 0.382, 0.5, 0.618, 0.786, 1]
-price_diff = high_price - low_price
-data['Fib_Level_0'] = high_price
-data['Fib_Level_1'] = high_price - price_diff * fib_levels[1]
-data['Fib_Level_2'] = high_price - price_diff * fib_levels[2]
-data['Fib_Level_3'] = high_price - price_diff * fib_levels[3]
-data['Fib_Level_4'] = high_price - price_diff * fib_levels[4]
-data['Fib_Level_5'] = high_price - price_diff * fib_levels[5]
-data['Fib_Level_6'] = low_price
-
-# Plotting
-fig = go.Figure()
-
-# Add trace for Close price
-fig.add_trace(go.Scatter(x=data.index, y=data['Close'], name='Close Price', line=dict(color='black')))
-
-# Add traces for Moving Averages if they have been calculated
-if 'MA50' in data:
-    fig.add_trace(go.Scatter(x=data.index, y=data['MA50'], name='50-Period MA', line=dict(color='blue')))
-if 'MA200' in data:
-    fig.add_trace(go.Scatter(x=data.index, y=data['MA200'], name='200-Period MA', line=dict(color='red')))
-if 'MA20' in data:
-    fig.add_trace(go.Scatter(x=data.index, y=data['MA20'], name='20-Period MA', line=dict(color='green')))
-
-# Add traces for Fibonacci Levels
-for i in range(7):
-    fig.add_trace(go.Scatter(x=data.index, y=[data[f'Fib_Level_{i}'][0]]*len(data), name=f'Fib Level {fib_levels[i]*100}%', line=dict(dash='dot')))
-
-# Display the chart
-st.plotly_chart(fig)
-
-