Create app.py

app.py

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+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)
+
+