Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+import yfinance as yf
+
+# Function to calculate Moving Averages and Parabolic SAR
+def calculate_indicators(data, ema_periods=[5, 25, 50]):
+    for period in ema_periods:
+        data[f'EMA_{period}'] = data['Close'].ewm(span=period, adjust=False).mean()
+    data['high'] = data['High'].rolling(window=2).max()
+    data['low'] = data['Low'].rolling(window=2).min()
+    data['af'] = 0.02
+    data['psar'] = data['Close'][0]
+    for i in range(1, len(data)):
+        if data['Close'][i] > data['psar'][i-1]:
+            data['psar'][i] = data['psar'][i-1] + data['af'][i-1] * (data['high'][i-1] - data['psar'][i-1])
+        else:
+            data['psar'][i] = data['psar'][i-1] - data['af'][i-1] * (data['psar'][i-1] - data['low'][i-1])
+        if data['psar'][i] > data['Close'][i]:
+            data['psar'][i] = data['low'][i-1]
+        else:
+            data['psar'][i] = data['high'][i-1]
+        if (data['Close'][i] > data['Close'][i-1] and data['af'][i-1] < 0.2):
+            data['af'][i] = data['af'][i-1] + 0.02
+        elif (data['Close'][i] < data['Close'][i-1]):
+            data['af'][i] = 0.02
+    return data
+
+# Function to plot the data
+def plot_data(data):
+    fig = make_subplots(rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.02)
+    fig.add_trace(go.Candlestick(x=data.index,
+                                 open=data['Open'], high=data['High'],
+                                 low=data['Low'], close=data['Close'],
+                                 name='Candlestick'), row=1, col=1)
+    for ema in [5, 25, 50]:
+        fig.add_trace(go.Scatter(x=data.index, y=data[f'EMA_{ema}'], mode='lines', name=f'EMA {ema}'), row=1, col=1)
+    fig.add_trace(go.Scatter(x=data.index, y=data['psar'], mode='markers', marker_symbol='circle', name='Parabolic SAR'), row=1, col=1)
+    return fig
+
+# Streamlit app layout
+st.title('Profit Parabolic Trading Strategy Visualization')
+
+st.sidebar.header('User Input Parameters')
+ticker = st.sidebar.text_input('Ticker Symbol', 'AAPL')
+start_date = st.sidebar.date_input('Start Date', pd.to_datetime('2020-01-01'))
+end_date = st.sidebar.date_input('End Date', pd.to_datetime('today'))
+button = st.sidebar.button('Analyze')
+
+if button:
+    data = yf.download(ticker, start=start_date, end=end_date)
+    data = calculate_indicators(data)
+    fig = plot_data(data)
+    st.plotly_chart(fig, use_container_width=True)
+