help@rskworld.in +91 93305 39277
RSK World
  • Home
  • Development
    • Web Development
    • Mobile Apps
    • Software
    • Games
    • Project
  • Technologies
    • Data Science
    • AI Development
    • Cloud Development
    • Blockchain
    • Cyber Security
    • Dev Tools
    • Testing Tools
  • About
  • Contact

Theme Settings

Color Scheme
Display Options
Font Size
100%

Stock Market Candlestick Charts Plotly Visualization Technical Analysis Open Source

Stock Market Candlestick Charts with Plotly for financial data visualization and technical analysis. Complete implementation with interactive candlestick charts, technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, ATR, CCI, OBV), pattern recognition (Doji, Hammer, Shooting Star, Engulfing patterns, Three White Soldiers, Three Black Crows), backtesting strategies (MA crossover, RSI, MACD), portfolio analysis, volume analysis, support and resistance levels, price targets (Fibonacci, Pivot), alert system, export functionality (HTML, PNG, PDF, CSV, Excel), and data validation. Perfect for stock market analysis, trading strategy development, technical analysis, and financial data visualization. Features 3 comprehensive Jupyter notebooks and 13 Python modules for candlestick chart analysis.

Candlestick Charts Plotly Technical Indicators Pattern Recognition Download Now Backtesting Portfolio Analysis Get Started
View README Download Project
Stock Market Candlestick Charts with Plotly Project - RSK World
Stock Market Candlestick Charts with Plotly Project - RSK World
Financial Visualization Candlestick Charts Python Plotly Stock Market Technical Analysis

This project creates comprehensive stock market candlestick charts using Plotly. It includes interactive candlestick charts, technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, ATR, CCI, OBV), pattern recognition (Doji, Hammer, Shooting Star, Engulfing patterns, Three White Soldiers, Three Black Crows), backtesting strategies (MA crossover, RSI, MACD), portfolio analysis, volume analysis, support and resistance levels, price targets, alert system, export functionality, and data validation. The project provides user-friendly interface for financial data visualization with 3 comprehensive Jupyter notebooks and 13 Python modules for candlestick chart generation. Features include interactive charts, technical analysis, pattern recognition, and comprehensive trading tools.

If you find this project useful, you can support with a small contribution.

Secure Fast Trusted
Pay via UPI QR
Scan or tap an amount to auto-generate
UPI QR
₹
Open UPI app
GPay PhonePe Paytm
Download Free Source Code

Interactive Candlestick Charts

Create beautiful, interactive candlestick charts with Plotly. Interactive zoom, pan, and hover functionality with customizable styling, multiple timeframes, and dark/light themes.

  • Interactive zoom and pan
  • Hover tooltips with OHLC data
  • Customizable styling and colors
  • Multiple timeframe support

Technical Indicators (15+)

Comprehensive set of technical indicators including Moving Averages (SMA, EMA), Momentum (RSI, Stochastic, Williams %R), Trend (MACD, ADX, ATR), Volatility (Bollinger Bands), and Volume (OBV).

  • RSI, MACD, Stochastic Oscillator
  • Bollinger Bands, ADX, ATR
  • Moving Averages (SMA, EMA)
  • Volume indicators (OBV)

Pattern Recognition

Automatic detection of candlestick patterns including Doji, Hammer, Shooting Star, Bullish/Bearish Engulfing, Three White Soldiers, and Three Black Crows.

  • Single candlestick patterns
  • Multi-candlestick patterns
  • Pattern summary reports
  • Visual pattern markers

Volume Analysis

Comprehensive volume analysis with volume bars, volume SMA, volume trends, and volume ratio calculations to understand market participation.

  • Volume bars visualization
  • Volume moving averages
  • Volume trend analysis
  • Volume ratio calculations

Backtesting Framework

Test trading strategies including MA Crossover, RSI-based, and MACD Crossover strategies with performance metrics (Returns, Sharpe Ratio, Max Drawdown, Win Rate).

  • MA Crossover Strategy
  • RSI-based Strategy
  • MACD Crossover Strategy
  • Performance metrics and comparison

Alert System

Automated alerts for RSI levels (oversold/overbought), price targets, percentage changes, volume spikes, and pattern detection.

  • RSI alerts
  • Price target alerts
  • Volume spike detection
  • Pattern detection alerts

Portfolio Analysis

Analyze multiple stocks with correlation matrices, weighted portfolio returns, portfolio performance metrics, and holdings comparison.

  • Multi-stock portfolio management
  • Correlation analysis
  • Weighted portfolio returns
  • Portfolio performance metrics

Support & Resistance

Automatic identification of support and resistance levels using price action analysis and pivot points.

  • Automatic level detection
  • Price target calculation
  • Fibonacci retracements
  • Pivot-based targets

Multiple Chart Types

Various chart types including line charts, area charts, correlation heatmaps, box plots, distribution histograms, and multi-timeframe charts.

  • Line and area charts
  • Correlation heatmaps
  • Box plots and histograms
  • Multi-timeframe analysis

Statistical Analysis

Comprehensive statistical analysis including volatility, Sharpe Ratio, maximum drawdown, returns analysis, and price statistics.

  • Volatility calculations
  • Sharpe Ratio analysis
  • Maximum drawdown tracking
  • Returns and risk metrics

Export Functionality

Export charts as HTML (interactive), PNG (static images), PDF (reports), and export data as CSV or Excel. Generate summary reports.

  • HTML, PNG, PDF export
  • CSV and Excel data export
  • Summary report generation
  • Custom dimensions support

Real-time Data Fetching

Fetch live stock data using yfinance library with support for multiple tickers, custom date ranges, and automatic data validation.

  • Real-time data fetching
  • Multiple ticker support
  • Custom date ranges
  • Automatic data validation

Data Validation

Automatic data validation and cleaning functions with error handling to ensure data quality and reliability.

  • Automatic validation
  • Data cleaning functions
  • Error handling
  • Data quality checks

3 Jupyter Notebooks

Comprehensive tutorials with 3 Jupyter notebooks covering basic candlestick charts, advanced analysis, pattern recognition, backtesting, and complete features demonstration.

  • candlestick_charts.ipynb - Main analysis
  • advanced_analysis.ipynb - Advanced features
  • features_demo.ipynb - Complete demo
  • Step-by-step examples

Requirements

The following are the technical requirements for this project:

  • Python 3.7+
  • Plotly 5.18.0+
  • Pandas 2.0.0+
  • NumPy 1.24.0+
  • yfinance 0.2.28+
  • Jupyter Notebook
  • kaleido 0.2.1+ (optional)
  • openpyxl 3.1.0+ (optional)
  • scipy 1.11.0+

Credits & Acknowledgments

This project is developed for educational purposes and utilizes the following resources:

  • Python - PSF License
  • Plotly - MIT License
  • yfinance - Apache License 2.0
  • Pandas - BSD License
  • RSK World - Project Inspiration
  • GitHub Repository - Source code and documentation

Support & Contact

For paid applications, please contact us for integration help or feedback.

  • Support Email: help@rskworld.in
  • Contact Number: +91 9330539277
  • Website: RSKWORLD.in
  • GitHub Project
  • Join Our Discord
  • Slack Support Channel
  • Candlestick Charts Documentation
Featured Content
Featured Content
Featured Content
Additional Sponsored Content

Download Free Source Code

Get the complete source code for this project. You can view the code or download the source code directly.

Download Free Source Code

Quick Links

Download Free Source Code Click to explore
View README Documentation Click to explore
Explore Candlestick Charts by RSK World Click to explore
Explore All Data Visualization Projects by RSK World Click to explore

Categories

Financial Visualization Candlestick Charts Python Plotly Stock Market Technical Analysis

Technologies

Python 3.7+
Plotly
yfinance
Technical Analysis
Stock Market

Explore More Data Visualization Projects

Financial Visualization Solutions

Deep Learning Computer Vision Python Image Classification
Time Series Analysis Dashboard - rskworld.in
Time Series Analysis Dashboard
Time Series Visualization

Comprehensive time series analysis dashboard with trend analysis, seasonality de...

View Project
Interactive Sales Dashboard with Plotly Dash - rskworld.in
Interactive Sales Dashboard with Plotly Dash
Interactive Dashboards

Real-time interactive sales dashboard with filtering, drill-down capabilities, a...

View Project
Hierarchical Tree Map Visualization - rskworld.in
Hierarchical Tree Map Visualization
Network & Tree Visualizations

Hierarchical tree map and sunburst chart visualizations for hierarchical data st...

View Project
Statistical Data Analysis with Seaborn - rskworld.in
Statistical Data Analysis with Seaborn
Statistical Charts

Comprehensive statistical visualization project with advanced plotting technique...

View Project
Tableau Business Analytics Dashboard - rskworld.in
Tableau Business Analytics Dashboard
Business Intelligence

Advanced Tableau dashboard for business analytics with interactive visualization...

View Project
View All Projects

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

Development

  • Game Development
  • Web Development
  • Mobile Development
  • AI Development
  • Development Tools

Legal

  • Terms & Conditions
  • Privacy Policy
  • Disclaimer

Contact Info

Nutanhat, Mongolkote
Purba Burdwan, West Bengal
India, 713147

+91 93305 39277

hello@rskworld.in
support@rskworld.in

© 2026 RSK World. All rights reserved.

Content used for educational purposes only. View Disclaimer