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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")
# Stock selection
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]
)
# Fetch data
data = fetch_stock_data(symbol, period=timeframe)
if data is not None:
# Create tabs for different analysis
tab1, tab2, tab3 = st.tabs(["Price & Volume", "Technical Indicators", "Support & Resistance"])
with tab1:
# Candlestick chart with volume
fig = make_subplots(rows=2, cols=1, shared_xaxes=True,
vertical_spacing=0.03,
row_heights=[0.7, 0.3])
# Candlestick
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)
# Volume
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:
# Technical indicators
col1, col2 = st.columns(2)
with col1:
# RSI
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
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)
# Bollinger Bands
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 and Resistance
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.") |