Pandas TA Classic

Pandas Technical Analysis (Pandas TA Classic) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions. This is the classic/community maintained version of the popular pandas-ta library.

Features

• 130+ indicators and utility functions
• Tightly correlated with TA-Lib indicators
• Supports both standalone and DataFrame extension usage
• Multiprocessing support via Strategy method
• Custom strategies and indicator chaining
• Performance metrics (BETA)

Quick Installation

# Stable version
pip install pandas-ta-classic

# Latest version from GitHub
pip install -U git+https://github.com/xgboosted/pandas-ta-classic

Quick Start

import pandas as pd
import pandas_ta_classic as ta

# Load your data
df = pd.read_csv("path/to/symbol.csv")

# Calculate indicators
df.ta.sma(length=20, append=True)  # Simple Moving Average
df.ta.rsi(length=14, append=True)  # RSI
df.ta.macd(append=True)            # MACD

# Or use strategies for bulk processing
df.ta.strategy("CommonStrategy")

Documentation

For detailed documentation, examples, and the complete list of indicators, please visit our GitHub repository.

Categories of Indicators

• Candles (64): Pattern recognition indicators
• Momentum (41): RSI, MACD, Stochastic, etc.
• Overlap (33): Moving averages, Bollinger Bands, etc.
• Trend (18): ADX, Aroon, Parabolic SAR, etc.
• Volume (15): OBV, Money Flow, etc.
• Volatility (14): ATR, Bollinger Bands, etc.
• Statistics (11): Z-Score, Standard Deviation, etc.
• Performance (3): Returns, Drawdown analysis
• Cycles (1): Even Better Sinewave
• Utility (5): Helper functions

Support

• GitHub Issues
• Examples and Notebooks

License

This project is licensed under the MIT License.