Update documentation to reflect the addition of indicators and patterns in Pandas TA Classic

README.md

@@ -20,7 +20,7 @@
 
 ![Example Chart](/images/TA_Chart.png)
 
-**Pandas TA Classic** is an easy-to-use library that leverages the Pandas package with **130+ indicators** and utility functions and **60+ TA Lib candlestick patterns**. Many commonly used indicators are included, such as: _Simple Moving Average_ (**sma**), _Moving Average Convergence Divergence_ (**macd**), _Hull Exponential Moving Average_ (**hma**), _Bollinger Bands_ (**bbands**), _On-Balance Volume_ (**obv**), _Aroon & Aroon Oscillator_ (**aroon**), _Squeeze_ (**squeeze**) and **many more**.
+**Pandas TA Classic** is an easy-to-use library that leverages the Pandas package with **143 indicators and utility functions** and **62 TA Lib candlestick patterns** (**205 total**). Many commonly used indicators are included, such as: _Simple Moving Average_ (**sma**), _Moving Average Convergence Divergence_ (**macd**), _Hull Exponential Moving Average_ (**hma**), _Bollinger Bands_ (**bbands**), _On-Balance Volume_ (**obv**), _Aroon & Aroon Oscillator_ (**aroon**), _Squeeze_ (**squeeze**) and **many more**.
 
 This is the **classic/community maintained version** of the popular pandas-ta library.
 
@@ -61,7 +61,9 @@ df.ta.strategy("CommonStrategy")         # Runs commonly used indicators
 
 ## 📊 Features
 
-- **130+ Technical Indicators** across 9 categories (Candles, Momentum, Overlap, Trend, Volume, etc.)
+- **143 Technical Indicators & Utilities** across 9 categories (Candles, Momentum, Overlap, Trend, Volume, etc.)
+- **62 TA Lib Candlestick Patterns** for comprehensive pattern recognition
+- **205 Total Indicators & Patterns** - the most comprehensive Python TA library
 - **Strategy System** with multiprocessing support for bulk indicator processing
 - **Pandas DataFrame Extension** for seamless integration (`df.ta.indicator()`)
 - **TA Lib Integration** - automatically uses TA Lib versions when available
@@ -75,7 +77,7 @@ df.ta.strategy("CommonStrategy")         # Runs commonly used indicators
 ### Quick Links
 - 📖 [**Usage Guide**](https://xgboosted.github.io/pandas-ta-classic/usage.html) - Programming conventions and basic usage
 - 🏗️ [**Strategy System**](https://xgboosted.github.io/pandas-ta-classic/strategies.html) - Multiprocessing and bulk indicator processing  
-- 📊 [**Indicators Reference**](https://xgboosted.github.io/pandas-ta-classic/indicators.html) - Complete list of all 130+ indicators
+- 📊 [**Indicators Reference**](https://xgboosted.github.io/pandas-ta-classic/indicators.html) - Complete list of all 143 indicators & 62 patterns
 - 🔧 [**DataFrame API**](https://xgboosted.github.io/pandas-ta-classic/dataframe_api.html) - Properties and methods reference
 - 📈 [**Performance Metrics**](https://xgboosted.github.io/pandas-ta-classic/performance.html) - Backtesting and performance analysis
 - 💡 [**Examples**](https://github.com/xgboosted/pandas-ta-classic/tree/main/examples) - Jupyter notebooks and code examples

docs/indicators.rst

@@ -1,23 +1,23 @@
 Indicators Reference
 ===================
 
-**Pandas TA Classic** includes 130+ indicators and utility functions organized into the following categories:
+**Pandas TA Classic** includes 143 indicators and utility functions plus 62 TA-Lib candlestick patterns (205 total) organized into the following categories:
 
-* **Candles** (64) - Candlestick patterns for market sentiment analysis
+* **Candles** (65) - Candlestick patterns for market sentiment analysis (3 native + 62 TA-Lib patterns)  
 * **Cycles** (1) - Cycle-based technical indicators  
 * **Momentum** (41) - Momentum and oscillator indicators
-* **Overlap** (33) - Moving averages and trend-following indicators
+* **Overlap** (34) - Moving averages and trend-following indicators
 * **Performance** (3) - Performance and return metrics
-* **Statistics** (11) - Statistical analysis functions
+* **Statistics** (10) - Statistical analysis functions
 * **Trend** (18) - Trend identification and direction indicators
-* **Utility** (5) - Helper and utility functions
+* **Utility** (10) - Helper and utility functions
 * **Volatility** (14) - Volatility and range-based indicators
 * **Volume** (15) - Volume analysis indicators
 
-Candles (64)
+Candles (65)
 ------------
 
-Candlestick patterns for identifying market sentiment and potential reversals. Patterns that are **not bold** require TA-Lib to be installed: ``pip install TA-Lib``
+Candlestick patterns for identifying market sentiment and potential reversals. This includes 3 native patterns (**cdl_pattern**, **cdl_z**, **ha**) plus 62 TA-Lib patterns. Patterns that are **not bold** require TA-Lib to be installed: ``pip install TA-Lib``
 
 .. code-block:: python
 
@@ -96,7 +96,7 @@ Momentum and oscillator indicators for measuring the speed of price changes:
 * *Ultimate Oscillator*: **uo**
 * *Williams %R*: **willr**
 
-Overlap (33)
+Overlap (34)
 ------------
 
 Moving averages and trend-following indicators:
@@ -144,7 +144,7 @@ Performance and return metrics. Use parameter ``cumulative=True`` for cumulative
 * *Log Return*: **log_return**
 * *Percent Return*: **percent_return**
 
-Statistics (11)
+Statistics (10)
 ---------------
 
 Statistical analysis functions:

index.md

@@ -52,16 +52,16 @@ For detailed documentation, examples, and the complete list of indicators, pleas
 
 ## Categories of Indicators
 
-- **Candles** (64): Pattern recognition indicators
+- **Candles** (65): Pattern recognition indicators (3 native + 62 TA-Lib patterns)
 - **Momentum** (41): RSI, MACD, Stochastic, etc.
-- **Overlap** (33): Moving averages, Bollinger Bands, etc.
+- **Overlap** (34): 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.
+- **Statistics** (10): Z-Score, Standard Deviation, etc.
 - **Performance** (3): Returns, Drawdown analysis
 - **Cycles** (1): Even Better Sinewave
-- **Utility** (5): Helper functions
+- **Utility** (10): Helper functions
 
 ## Support