At Dravyaniti Consulting (www.dravyaniti.com), we are constantly working to bring the benefits of our understanding on financial markets, data and technology to the benefits of our clients, who are companies and individuals trying to solve challenging financial problems.
Python has taken the data analytics space by storm – more so in the financial services space. With the rapid growth of data and ever-increasing need to process data faster and getting results of back-testing in shorter spans of time, there is no other better time than now to delve into the world of languages like Python. To give a perspective, the Indian Market Fundamental Data on Quandl has a dataset of a little over 9.1 million rows. To handle this in Excel, it will need huge amount of computing resources before one can open the file and do meaningful work with it, or it would take a lot of time by breaking the file into smaller chunks and processing it.
Not so with Python. With 10-12 lines of code we can open and transform this huge matrix of data and start building queries. Consider also a scenario when you may need to combine technical indicators data along with fundamental data – then there is no question that Python can come to the rescue. And the Python is very descriptive so having some basic English language skills along with some experience with Python we can do lot of powerful things.
Venue : Hotel Suba Galaxy, Andheri
Date : July 29th and July 30th, 2017
Time : 9a.m – 6p.m
Organizer : Vivek (Dravyaniti Consulting LLP)
Contact : 9870104332
Who are the kind of people expected to attend the camp?
a) Analysts- Technical / Fundamental / Derivative.
b) Individuals and Organisations who are currently into aspiring System Traders, Quants.
c) Faculty from academia.
d) Students who are looking to gain practical insights and exposure to strengthen their foothold best-in-class quantitative analysis techniques.
e) Industry Professionals with educational background CA / CFA / CMT / CFTe / CQF.
f) Software Vendors.
What all will be covered during the camp?
1. Installation of Python 3.0 and Anaconda IDE.
2. Basic Data Types.
3. Introduction to Pandas, Matplotlib and Numpy libraries.
4. Extracting data from Quandl and CSV files.
5. Creating a Moving Average Crossover Strategy.
6. Generating Equity Curve and visualizing the Curve.
7. Generating the back-test statistics.
9. General advice and best practices while back-testing.
10. Using the IB (Interactive Brokers)/Upstox/Zerodha Python API in IB Demo Trading.
The camp will held on July 29th and July 30th at Hotel Suba Galaxy, Andheri
Who will be conducting the camp?
Having done his B.Sc. in Economics from Lancaster University in UK, Kshitij is deeply passionate in the fields of finance and programming. Harbouring a vivid interest in the fields of corporate finance, monetary economics, risk management, programming in R and python, Machine Learning, he has a wide range of interests. He has 4 years experience of trading in financial markets and considerable experience working in the field of back-testing in python. Currently he is working on multiple projects involving back-testing and implementing strategies which are successful from back-testing, in live markets.
After completing his B.Tech in Computer Science, he worked as a Software Engineer in Java with MothersonSumiInfotech and Designs Ltd. Having good experience in computer programming, his interest in the financial markets led him into the field of Algorithmic Trading. He has ample experience of back-testing in Python and is currently working on a number of projects involving back-testing of various trading strategies.
What is the boot camp fee?
Boot Camp Fee: Rs.14,000/-(inclusive of lunch, beverages and snacks)
Bank: Kotak Mahindra Bank
Acct. No.: 0211973124
IFSC Code: KKBK0001395
For further information / registration call Vivek on 9870104332 or email him on firstname.lastname@example.org