amolkulkarn

Pinned Repositories

blog
Code and data for my blogs
Language:Jupyter Notebook00
notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Language:Jupyter Notebook00
nsepy
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
Language:Python00
PythonForFinance
THis repository has all the source code for Python Trading series
Language:Jupyter Notebook00
QtsApp
The Python Library For QtsApp which displays the option chain in near real-time. This program retrieves this data from the QtsApp site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain along with Implied Volatatlity (IV), Open Interest (OI), Delta, Theta, Vega, Gamma, Vanna, Charm, Speed, Zomma, Color, Volga, Veta at an interval of a second and visually displays the trend in various indicators useful for Technical Analysis.
Language:Python00
Stock-Market-Prediction
Learning python for stock market analysis
Language:Jupyter Notebook00
tradewithpython-blogs
Repo for storing all blogs written on https://tradewithpython.com/
Language:Jupyter Notebook00

amolkulkarn's Repositories

amolkulkarn/blog
Code and data for my blogs
amolkulkarn/notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
amolkulkarn/nsepy
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
amolkulkarn/PythonForFinance
THis repository has all the source code for Python Trading series
amolkulkarn/QtsApp
The Python Library For QtsApp which displays the option chain in near real-time. This program retrieves this data from the QtsApp site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain along with Implied Volatatlity (IV), Open Interest (OI), Delta, Theta, Vega, Gamma, Vanna, Charm, Speed, Zomma, Color, Volga, Veta at an interval of a second and visually displays the trend in various indicators useful for Technical Analysis.
amolkulkarn/Stock-Market-Prediction
Learning python for stock market analysis
Language:Jupyter Notebook1 0
amolkulkarn/tradewithpython-blogs
Repo for storing all blogs written on https://tradewithpython.com/