visualization

OpenAlgo Visualization

Create trading charts, dashboards, and visualizations using OpenAlgo data. Build interactive Streamlit dashboards for real-time monitoring.

Environment Setup

from openalgo import api
import pandas as pd
import plotly.graph_objects as go

client = api(
    api_key='your_api_key_here',
    host='http://127.0.0.1:5000'
)

Quick Start Scripts

Candlestick Chart

python scripts/candlestick.py --symbol SBIN --exchange NSE --interval 5m --days 5

Options Payoff Diagram

python scripts/payoff.py --strategy "iron_condor" --underlying NIFTY --expiry 30JAN25

P&L Dashboard

streamlit run scripts/pnl_dashboard.py

---

Candlestick Charts

Basic Candlestick with Plotly

from openalgo import api
import plotly.graph_objects as go

client = api(api_key='your_key', host='http://127.0.0.1:5000')

# Fetch historical data
df = client.history(
    symbol="SBIN",
    exchange="NSE",
    interval="5m",
    start_date="2025-01-01",
    end_date="2025-01-10"
)

# Create candlestick chart
fig = go.Figure(data=[go.Candlestick(
    x=df.index,
    open=df['open'],
    high=df['high'],
    low=df['low'],
    close=df['close'],
    name='SBIN'
)])

fig.update_layout(
    title='SBIN 5-Minute Chart',
    yaxis_title='Price',
    xaxis_title='Time',
    xaxis_rangeslider_visible=False
)

fig.show()

Candlestick with Volume

from plotly.subplots import make_subplots

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=df.index,
    open=df['open'],
    high=df['high'],
    low=df['low'],
    close=df['close'],
    name='Price'
), row=1, col=1)

# Volume bars
colors = ['green' if c >= o else 'red' for c, o in zip(df['close'], df['open'])]
fig.add_trace(go.Bar(
    x=df.index,
    y=df['volume'],
    marker_color=colors,
    name='Volume'
), row=2, col=1)

fig.update_layout(
    title='SBIN Chart with Volume',
    xaxis_rangeslider_visible=False
)

fig.show()