Create app.py

app.py

@@ -0,0 +1,75 @@
+import gradio as gr
+import plotly.graph_objects as go
+import yfinance as yf
+import pandas as pd
+
+def fetch_data(ticker, start_date, end_date):
+    data = yf.download(ticker, start=start_date, end=end_date)
+    return data
+
+def plot_technical_analysis(ticker, start_date, end_date, analysis_type):
+    data = fetch_data(ticker, start_date, end_date)
+    
+    fig = go.Figure()
+    
+    if analysis_type == "Candlestick":
+        fig.add_trace(go.Candlestick(x=data.index,
+                                     open=data['Open'],
+                                     high=data['High'],
+                                     low=data['Low'],
+                                     close=data['Close'],
+                                     name='Candlestick'))
+    
+    elif analysis_type == "Moving Average":
+        data['MA20'] = data['Close'].rolling(window=20).mean()
+        fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines', name='Close Price'))
+        fig.add_trace(go.Scatter(x=data.index, y=data['MA20'], mode='lines', name='20-day MA'))
+    
+    elif analysis_type == "Bollinger Bands":
+        data['MA20'] = data['Close'].rolling(window=20).mean()
+        data['stddev'] = data['Close'].rolling(window=20).std()
+        data['upper'] = data['MA20'] + (data['stddev'] * 2)
+        data['lower'] = data['MA20'] - (data['stddev'] * 2)
+        fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines', name='Close Price'))
+        fig.add_trace(go.Scatter(x=data.index, y=data['upper'], mode='lines', name='Upper Band'))
+        fig.add_trace(go.Scatter(x=data.index, y=data['lower'], mode='lines', name='Lower Band'))
+    
+    fig.update_layout(title=f"{analysis_type} Analysis for {ticker}", xaxis_title="Date", yaxis_title="Price", xaxis_rangeslider_visible=False)
+    return fig
+
+def plot_fundamental_analysis(ticker, analysis_type):
+    stock = yf.Ticker(ticker)
+    
+    if analysis_type == "Financials":
+        data = stock.financials
+    elif analysis_type == "Balance Sheet":
+        data = stock.balance_sheet
+    elif analysis_type == "Cash Flow":
+        data = stock.cashflow
+    
+    return data.to_html()
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Stock Analysis Tool")
+    
+    with gr.Tab("Technical Analysis"):
+        ticker = gr.Textbox(label="Ticker Symbol", value="AAPL")
+        start_date = gr.Textbox(label="Start Date (YYYY-MM-DD)", value="2020-01-01")
+        end_date = gr.Textbox(label="End Date (YYYY-MM-DD)", value="2023-01-01")
+        analysis_type = gr.Radio(label="Analysis Type", choices=["Candlestick", "Moving Average", "Bollinger Bands"], value="Candlestick")
+        plot_button = gr.Button("Plot")
+        plot_output = gr.Plot()
+        
+        plot_button.click(fn=plot_technical_analysis, inputs=[ticker, start_date, end_date, analysis_type], outputs=plot_output)
+    
+    with gr.Tab("Fundamental Analysis"):
+        ticker = gr.Textbox(label="Ticker Symbol", value="AAPL")
+        analysis_type = gr.Radio(label="Analysis Type", choices=["Financials", "Balance Sheet", "Cash Flow"], value="Financials")
+        plot_button = gr.Button("Show Data")
+        table_output = gr.HTML()
+        
+        plot_button.click(fn=plot_fundamental_analysis, inputs=[ticker, analysis_type], outputs=table_output)
+
+# Launch the interface
+demo.launch()