From d4d45ecfe55153b68cbd73d0acffa8e883775005 Mon Sep 17 00:00:00 2001 From: Kevin Johnson Date: Wed, 10 Jul 2019 07:09:23 -0700 Subject: [PATCH] DOC updated readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a4746c6..0ce142e 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # Technical Analysis Library in Python 3.7 ![Example Chart](/images/TA_Chart.png) -Technical Analysis (TA) is an easy to use library that is built upon Python's Pandas library with more than 60 Indicators. These indicators are comminly used for financial time series datasets with columns or labels similar to: datetime, open, high, low, close, volume, et al. Many commonly used indicators are included, such as: _Moving Average Convergence Divergence_ (*MACD*), _Hull Exponential Moving Average_ (*HMA*), _Bollinger Bands_ (*BBANDS*), _On-Balance Volume_ (*OBV*), _Aroon Oscillator_ (*AROON*) and more. +Technical Analysis (TA) is an easy to use library that is built upon Python's Pandas library with more than 80 Indicators. These indicators are comminly used for financial time series datasets with columns or labels similar to: datetime, open, high, low, close, volume, et al. Many commonly used indicators are included, such as: _Moving Average Convergence Divergence_ (*MACD*), _Hull Exponential Moving Average_ (*HMA*), _Bollinger Bands_ (*BBANDS*), _On-Balance Volume_ (*OBV*), _Aroon Oscillator_ (*AROON*) and more. This version contains both the orignal code branch as well as a newly refactored branch with the option to use [Pandas DataFrame Extension](https://pandas.pydata.org/pandas-docs/stable/extending.html) mode. All the indicators return a named Series or a DataFrame in uppercase underscore parameter format. For example, MACD(fast=12, slow=26, signal=9) will return a DataFrame with columns: ['MACD_12_26_9', 'MACDH_12_26_9', 'MACDS_12_26_9'].