Bengaluru Algo Traders Conference - AlgoJi

Bengaluru Algo Traders Conference


Do you know?

  • 90% of short-term traders lose money in stock market!
  • 70% of mutual funds underperfrom stock market index!

Attend this workshop-cum-meetup-cum-conference,

  • Niche knowledge delivered by experts which cannot be found easily
  • Network & Personally interact with professional traders
  • Python for Algo Trading – Free Course access link will be emailed with the ticket
  • Amibroker Course – Guide to Quantitative Investing and Algorithmic Trading grab at 88% discount with conference ticket
  • Lightning Talks registration link will be emailed with the pdf ticket
  • Participants get booklet with printed slides from all speakers
  • Free goodies by Quantopian

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Date & Time: 03 Feb | 11AM-6PM

11:15 AM Session-1: Alphas for Algo Trading by Amit Sharda, founder Gumption Labs

Takeaways: (1) Investing Alphas, (2) Trading Alphas, and (3) Discovering New Alphas

12:45 PM Lightning Talks

1:15 PM Networking Lunch

2:00 PM Session-2: Machine Learning for Trading – Simplified by Bharath Rao, Cofounder, Alpha Advisors

Takeaways: (1) Application of ML to trading, (2) Common ML techniques, and
(3) Practical insights on ML implementation

3:30 PM Coding Cases

3:45 PM Session-3: Quantitative Trading in Cryptocurrencies by Lakshmeesh Rao, Co-founder Cryptuna
Takeways: 1) Cryptocurrencies Fundamentals 2) Arbitrage in Cryptos 3) Hedging in Cryptos
4) Other risk management techniques

5:15 PM Panel Discussion: Tools & Techniques in Algo Trading

Speakers: Amit Sharda, Bharath Rao, Lakshmeesh Rao, Satish K. Dutt (Director, CompositeEdge), Chandni Jain (Founder, Auquan)

5:45 PM Networking & High Tea

Venue: KSCA Hall, M Chinnaswamy Stadium, Cubbon Road, Bengaluru 560001

Python Algo Trading Course

Beginners to Intermediate short video course with the following curriculum:

1 Introduction
1.1 Introduction to Algo Trading
1.2 Setting Up Python for Algo Trading

2 Coding Common Studies
2.1 Coding for MA Crossovers
2.2 Coding for MACD
2.3 Coding for Bollinger Bands, RSI, Z-score
2.4 Coding for Stationarity Tests
2.5 Interactive Candlestick Charts in Python

3 Downloading and Preparing Data
3.1 Downloading Data
3.2 Preparing Data

4 Coding Buy-Sell Rules
4.1 Coding Buy-Sell rules for MA Crossovers
4.2 Coding Buy-Sell rules for MACD
4.3 Coding Buy-Sell rules for Bollinger Bands, RSI, Z-score

5 Backtesting Strategies
5.1 Intro to Backtesting
5.2 Backtesting – Another Example
5.3 Backtesting Long-Short rules for MACD, BBands, RSI, Z-score
5.4 Backtesting Pair Trading Strategy

6 Optimizing Strategies
6.1 Optimizing Using Parallel Computing


How do I access the Python/Amibroker course?

We will email you the course access links, with the pdf ticket, within one working day after registration

Is there any group discount?

20% discount is available for a group of 10 people or more. For group payment, contact us.

Are the tickets transferable?

Tickets are not transferable and non-refundable, unless in exceptional circumstance


Quantopian is a crowd-sourced investment firm with over 160,000 user from over 190 countries. The platform is entirely free providing everyone with free data, free education, a free backtester, free risk-model, and more. When you write an algorithm on our platform you can enter contests to win money and even have the chance of winning a fund allocation. We run free, weekly webinars as well as monthly workshops around the world . It’s fourth annual algorithmic trading and quantitative finance conference, QuantCon 2018, returns to New York City April 27th-28th. More information and livestream tickets are available at