How do I build a stock chart app in Python?

This Reflex template renders price charts with volume, moving averages, and percent change, plus summary cards for open, close, high, low, return, and volatility. Ticker search and watchlists let you compare securities over time.

Can this connect to yfinance, Alpha Vantage, or Polygon?

Yes. Price history is a DataFrame, so a live source replaces the seeded bars without touching the chart code. yfinance is the quickest starting point for daily bars, with Alpha Vantage or Polygon when you need intraday data or a commercial license. Load the frame and the charts render it.

How do I add moving averages to a price chart?

Technical indicators are computed in Pandas and drawn as extra series, so adding a different window or a new indicator is a column calculation rather than a charting-library configuration.

How do I build a watchlist to compare multiple tickers?

Watchlists hold a set of tickers and drive comparison views of return and volatility across them. The list is data, so persisting it per user through SQLModel is a natural extension.

Back to Templates

Stock Graph App

#Finance

Build a stock graph in Reflex with Python, database-ready workflows, polished UI, and tools for stock charting and watchlist tracking.

Preview

Code

/index

Workspace is ready

Stock Graph App template interface showing price charts, watchlists, returns, and volume indicators

Use template

Tech Stack

ReflexPythonPandasSQLModelSQLiteCharts

Integrations

Key Features

Stock graph app with price charts, watchlists, returns, and volume indicators

Ticker search and watchlist views for comparing securities over time

Interactive charts for price, volume, moving averages, and percent change

Summary cards for open, close, high, low, return, and volatility metrics

Comparison table for selected tickers, sectors, or portfolios

Data-ready Reflex structure for connecting market APIs or uploaded price history

Requirements

Ticker, price, volume, date, and market metadata

Metrics such as returns, moving averages, volatility, or drawdown

Optional watchlist, portfolio, or benchmark comparison requirements

About This Template

Build a production-ready stock graph with Reflex and Python. This template is designed for finance builders creating stock charts, watchlists, and market analysis tools who need a usable app structure for stock charting, watchlist tracking, market analysis, and portfolio review, not a static mockup. The app pattern includes a focused dashboard, searchable tables, detail views, validated forms, status-aware actions, empty and loading states, and database-ready state management. Use it as a starting point for a stock market graph, stock chart app, stock price chart, and stock market dashboard while keeping full control of the Python codebase. Ahrefs research informed the SEO language for this page, with target terms such as stock graph (1.3K US searches/mo). The copy is written to match real search intent while describing the app a builder can actually generate and customize.

Frequently Asked Questions

Related Templates

Browse All

Big Four Banking Genealogy template interface showing relationship dashboard for institutions, executives, deals, and lineage

Big Four Banking GenealogyBuild a banking dashboard in Reflex with Python, database-ready workflows, polished UI, and tools for bank genealogy and relationship intelligence.

#Finance

Use Template

Broker CRM Dashboard template interface showing clients, contacts, opportunities, policies, and renewals

Broker CRM DashboardBuild a broker CRM in Reflex with Python, database-ready workflows, polished UI, and tools for broker CRM and client pipeline.

#Sales & Marketing#Finance

Use Template

Budget Tracker template interface showing income, expenses, savings, categories, and goal progress

Budget TrackerBuild a budget tracker in Reflex with Python, database-ready workflows, polished UI, and tools for budget tracking and expense tracking.

#Finance

Use Template

Use template

Tech Stack

ReflexPythonPandasSQLModelSQLiteCharts

Integrations

Key Features

Stock graph app with price charts, watchlists, returns, and volume indicators

Ticker search and watchlist views for comparing securities over time

Interactive charts for price, volume, moving averages, and percent change

Summary cards for open, close, high, low, return, and volatility metrics

Comparison table for selected tickers, sectors, or portfolios

Data-ready Reflex structure for connecting market APIs or uploaded price history

Requirements

Ticker, price, volume, date, and market metadata

Metrics such as returns, moving averages, volatility, or drawdown

Optional watchlist, portfolio, or benchmark comparison requirements