diff --git a/README.md b/README.md
index 9a3702b..734342b 100644
--- a/README.md
+++ b/README.md
@@ -83,6 +83,7 @@ _Pandas Technical Analysis_ (**Pandas TA**) is an easy to use library that lever
 * Indicators in Python are tightly correlated with the _de facto_ [TA Lib](https://github.com/mrjbq7/ta-lib) if they share common indicators.
 * If TA Lib is also installed, TA Lib computations are enabled by default but can be disabled disabled per indicator by using the argument ```talib=False```.
     * For instance to disable TA Lib calculation for **stdev**: ```ta.stdev(df["close"], length=30, talib=False)```.
+* **NEW**! Include External Custom Indicators independent of the builtin Pandas TA indicators. For more information, see ```import_dir``` documentation under ```/pandas_ta/custom.py```.
 * Example Jupyter Notebook with **vectorbt** Portfolio Backtesting with Pandas TA's ```ta.tsignals``` method.
 * Have the need for speed? By using the DataFrame _strategy_ method, you get **multiprocessing** for free! __Conditions permitting__.
 * Easily add _prefixes_ or _suffixes_ or _both_ to columns names. Useful for Custom Chained Strategies.