Python Candlestick Pattern Matching

This project scans all the symbols in the Nasdaq 100 and S&P 500 for candlestick patterns. Symbols showing candlestick patterns are viewable as a TradingView chart in a webapp.

This project was created in Python and runs as a web application via the Python web-framework Streamlit.

Application Flow

Download the Data

• Download list of symbols in the Nasdaq 100 and S&P 500 from WikiPedia.
• For each symbol, download 10 days of data (open, high, low, close) using Python package yfinance
• For each symbol, download earnings data using Python package yahooquery.

Scan Stock Symbols for Candlestick Patterns

• For each of the 60+ candlestick patterns, scan all the symbols looking for pattern matches.
• Create list of patterns and the relevant symbols.

Streamlit Webapp

With a list of candlestick patterns and symbols matching those patterns:

• Create drop-down lists in Streamlit with name of candlestick pattern and the symbol.
• Upon selection of a pattern/symbol from the drop-down, load a TradingView chart.
• Create plot of earnings data using Ploty Express.

Screenshots

Candlestick Pattern Matching in Python Using TA-Lib

TA-Lib is a Python wrapper based on Cython and includes the following:

• 150+ indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands, etc.
• 60+ candlestick pattern recognition
• Open-source API for C/C++, Java, Perl, Python and 100% Managed .NET

Install Python Requirements

pip install -r requirements

Usage

$ streamlit main.py

Ideas for Updates

• Store all data in Snowflake or a similiar cloud-based solution.
• Add additional support for Streamlit caching.
• Add asynchronous downloading of data.

TradingView Projects

If you're a trader/investor, I've written many techical indicators, both open/closed source that might be of interest: TradingView Indicators.

License

This project is licensed under the MIT License. See the LICENSE file for more details.