Update README.md

README.md

@@ -2,13 +2,13 @@
 PyTA is a modern, user-friendly alternative to TA-Lib for technical analysis leveraging pandas, numpy and scipy for ease of use. Designed to be compatible with Python 3.10 and later, PyTA provides a comprehensive set of financial indicators and tools without the need for third-party build tools or outdated library versions. Ideal for developers and analysts seeking a straightforward and maintainable solution for technical analysis in financial data.
 
 # Installation
-From your terminal, use pip to install with the following command:
-  pip install git+https://github.com/saviornt/PyTA
+From your terminal, use pip to install with the following command:<br/>
+&nbsp;&nbsp;&nbsp;&nbsp;`pip install git+https://github.com/saviornt/PyTA`
 
 # Example Usage
-import pyta
-def preprocess_data(data):
-  data['EMA'] = pyta.EMA(data)
-  data['RSI'] = pyta.RSI(data)
-  data['VWAP'] = pyta.VWAP(data)
-  return data
+import pyta<br/>
+def preprocess_data(data):<br/>
+&nbsp;&nbsp;&nbsp;&nbsp;data['EMA'] = pyta.EMA(data)<br/>
+&nbsp;&nbsp;&nbsp;&nbsp;data['RSI'] = pyta.RSI(data)<br/>
+&nbsp;&nbsp;&nbsp;&nbsp;data['VWAP'] = pyta.VWAP(data)<br/>
+&nbsp;&nbsp;&nbsp;&nbsp;return data