| import streamlit as st |
| import plotly.graph_objects as go |
| from plotly.subplots import make_subplots |
| import pandas as pd |
| from utils.data_loader import load_nifty50_symbols, fetch_stock_data |
| from utils.technical_indicators import ( |
| calculate_rsi, |
| calculate_macd, |
| calculate_bollinger_bands, |
| calculate_support_resistance |
| ) |
|
|
| st.title("Technical Analysis") |
|
|
| |
| symbol = st.selectbox("Select Stock", load_nifty50_symbols()) |
| timeframe = st.selectbox( |
| "Select Timeframe", |
| options=["1w", "1mo", "3mo", "6mo", "1y", "3y", "5y"], |
| format_func=lambda x: { |
| "1w": "1 Week", |
| "1mo": "1 Month", |
| "3mo": "1 Quarter", |
| "6mo": "6 Months", |
| "1y": "1 Year", |
| "3y": "3 Years", |
| "5y": "5 Years" |
| }[x] |
| ) |
|
|
| |
| data = fetch_stock_data(symbol, period=timeframe) |
|
|
| if data is not None: |
| |
| tab1, tab2, tab3 = st.tabs(["Price & Volume", "Technical Indicators", "Support & Resistance"]) |
|
|
| with tab1: |
| |
| fig = make_subplots(rows=2, cols=1, shared_xaxes=True, |
| vertical_spacing=0.03, |
| row_heights=[0.7, 0.3]) |
|
|
| |
| fig.add_trace(go.Candlestick( |
| x=data.index, |
| open=data['Open'], |
| high=data['High'], |
| low=data['Low'], |
| close=data['Close'], |
| name='OHLC' |
| ), row=1, col=1) |
|
|
| |
| fig.add_trace(go.Bar( |
| x=data.index, |
| y=data['Volume'], |
| name='Volume', |
| marker_color='rgba(0,184,148,0.3)' |
| ), row=2, col=1) |
|
|
| fig.update_layout( |
| title=f"{symbol} Price and Volume", |
| yaxis_title="Price", |
| yaxis2_title="Volume", |
| xaxis_rangeslider_visible=False, |
| height=800 |
| ) |
|
|
| st.plotly_chart(fig, use_container_width=True) |
|
|
| with tab2: |
| |
| col1, col2 = st.columns(2) |
|
|
| with col1: |
| |
| rsi = calculate_rsi(data) |
| fig_rsi = go.Figure() |
| fig_rsi.add_trace(go.Scatter( |
| x=data.index, |
| y=rsi, |
| name='RSI', |
| line=dict(color='#00B894') |
| )) |
| fig_rsi.add_hline(y=70, line_dash="dash", line_color="red") |
| fig_rsi.add_hline(y=30, line_dash="dash", line_color="green") |
| fig_rsi.update_layout(title="RSI (14)", height=400) |
| st.plotly_chart(fig_rsi, use_container_width=True) |
|
|
| with col2: |
| |
| macd, signal = calculate_macd(data) |
| fig_macd = go.Figure() |
| fig_macd.add_trace(go.Scatter( |
| x=data.index, |
| y=macd, |
| name='MACD', |
| line=dict(color='#00B894') |
| )) |
| fig_macd.add_trace(go.Scatter( |
| x=data.index, |
| y=signal, |
| name='Signal', |
| line=dict(color='#FFA500') |
| )) |
| fig_macd.update_layout(title="MACD", height=400) |
| st.plotly_chart(fig_macd, use_container_width=True) |
|
|
| |
| upper_band, middle_band, lower_band = calculate_bollinger_bands(data) |
| fig_bb = go.Figure() |
| fig_bb.add_trace(go.Scatter( |
| x=data.index, |
| y=upper_band, |
| name='Upper Band', |
| line=dict(color='gray', dash='dash') |
| )) |
| fig_bb.add_trace(go.Scatter( |
| x=data.index, |
| y=middle_band, |
| name='Middle Band', |
| line=dict(color='blue') |
| )) |
| fig_bb.add_trace(go.Scatter( |
| x=data.index, |
| y=lower_band, |
| name='Lower Band', |
| line=dict(color='gray', dash='dash') |
| )) |
| fig_bb.add_trace(go.Scatter( |
| x=data.index, |
| y=data['Close'], |
| name='Close Price', |
| line=dict(color='#00B894') |
| )) |
| fig_bb.update_layout(title="Bollinger Bands", height=500) |
| st.plotly_chart(fig_bb, use_container_width=True) |
|
|
| with tab3: |
| |
| support, resistance = calculate_support_resistance(data) |
| fig_sr = go.Figure() |
|
|
| fig_sr.add_trace(go.Scatter( |
| x=data.index, |
| y=data['Close'], |
| name='Price', |
| line=dict(color='#00B894') |
| )) |
| fig_sr.add_trace(go.Scatter( |
| x=data.index, |
| y=support, |
| name='Support', |
| line=dict(color='green', dash='dash') |
| )) |
| fig_sr.add_trace(go.Scatter( |
| x=data.index, |
| y=resistance, |
| name='Resistance', |
| line=dict(color='red', dash='dash') |
| )) |
|
|
| fig_sr.update_layout( |
| title="Support and Resistance Levels", |
| height=600 |
| ) |
| st.plotly_chart(fig_sr, use_container_width=True) |
|
|
| else: |
| st.error("Unable to fetch data. Please try again later.") |
