udemy.com/course/python-…
#python
learnpython.org/en/Pandas_Basi…
Also install talib: an essential library for a trader. It has inbuilt functions for all technical indicators making our life easy.
mrjbq7.github.io/ta-lib/doc_ind…
#pandas
It is required for data visualisation and helps in interpreting data.
edureka.co/blog/python-ma…
If you want to be a quant trader, you need to know basic statistics such as normal dist., correl,cointegration,std dev,beta etc and also few probability concepts.
These are useful in creating option writing strategies based on volatility
khanacademy.org/math/statistic…
This is the crux of quant trading. Discard or accept your ideas by doing a detailed backtest.
Test across different market conditions and stress test on black swan days to check robustness of the strategy
Backtrader:
backtrader.com
#backtest
Try to remove your emotions by automating your strategies using API
kite.trade/individuals
This is difficult to do if your are a newbie as several risk management parameter needs to be considered.
ML can provide data insights to refine existing strategies.
ML is a vast subject in itself so you can skip this if your are new to coding.
analyticsvidhya.com/blog/2015/06/m…
#DataScience #MachineLearning
You can join our Quantitative Trading Program. We have conducted this at large multi-million dollars trading desks.
Check brochure for details:
drive.google.com/file/d/1pLgtoe…
If interested can connect with team on +91 89283 81567