WATCH the complete webinar recording: https://blog.quantinsti.com/competitive-edges-algorithmic-trading-21-june-2022/ ----------------------------------------------- About the Session Are you trading as an individual/retail trader or as an institution? Regardless, trading is like any other business, you need to be better at something to stay ahead of your competition. Similarly, your competition may also have certain competitive edges over you. It is important to understand these competitive edges and prepare yourself to successfully compete with others. - What are the edges and why does your trading setup need them? - Different types of strategies & trading setups. - How to identify & build competitive edges in the world of investments and trading? - Applicability in the individual/retail domain versus institutional domain. ----------------------------------------------- About the Speaker Nitesh Khandelwal (Co-Founder & CEO at QuantInsti, and Co-Founder & Partner at iRage) Nitesh started his career in the Banking sector on the treasury side. After a brief stint in a proprietary trading firm as a lead, he co-founded iRage in 2009. In his capacity as the business lead of iRage, iRage went on to become one of the leading players in the Algorithmic Trading space in India. In 2016, he moved his focus to QuantInsti, an institute that he co-founded in 2010 as part of iRage, as its CEO. Under his leadership, QuantInsti has expanded to 100+ team & faculty members, to help its audience from 190+ countries grow in this domain through its unique learning & financial application-based ecosystem for individuals, as well as for businesses & institutions through its SaaS platform offerings. Nitesh holds an Electrical Engineering degree from IIT Kanpur with a postgraduate degree in Management from IIM Lucknow. ----------------------------------------- 𝗨𝘀𝗲𝗳𝘂𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 💡 Free Resources to Learn Algorithmic Trading: https://blog.quantinsti.com/free-resources-list-compilation-learn-algorithmic-trading/ 📄 Blogs and Tutorials: https://blog.quantinsti.com/ 🎞️ Complete webinar recordings: https://blog.quantinsti.com/tag/webinars/ 👨‍🎓 Algo Trading Success Stories: https://blog.quantinsti.com/tag/success-stories 🎙️ Podcasts: https://blog.quantinsti.com/tag/podcasts/ 📑 Algo Trading Projects: https://blog.quantinsti.com/tag/epat-trading-projects/ ----------------------------------------- Link to our Blog: https://blog.quantinsti.com/ Like us on Facebook @ https://www.facebook.com/quantinsti/ Follow us on Twitter @ https://twitter.com/QuantInsti Follow us on LinkedIn @ https://www.linkedin.com/school/quantinsti/ Follow us on Instagram @ https://www.instagram.com/quantinstian/ E-mail us @ sales@quantinsti.com ----------------------------------------- #algorithmictrading #automatedtrading #quantinstiwebinar

1. Competitive Edges in Algorithmic Trading
by Nitesh Khandelwal, Co-founder, QuantInsti & iRage

2. Introduction
What’s an edge? Some examples
Types of trading strategies
Edges in the world of trading
Relevant edges for different types of strategies
Q&A
Agenda & Session Objectives

3. About QuantInsti
Research & Trading Platform
with complete integration to
the learning platforms.
EPAT
World’s leading verified certificate
course in Algorithmic &
Quantitative Trading
Machine-enabled & self-paced
learning platform with 50+
courses & learning tracks
3M+ 300+ 1.5M
HOURS CONTENT
CONSUMED
ANNUALLY
CORPORATE PARTNERS
ACROSS 20 COUNTRIES
USERS CONSUMING
CONTENT EACH YEAR
100+
TEAM MEMBERS &
FACULTIES
190+
COUNTRIES HAVE
QUANTINSTI USERS
$6B+
PAPER TRADING
VOLUME ON BLUESHIFT
Enabling the world for Systematic Trading & Investments

4. What’s a competitive edge?

5. A competitive edge

6. Competitive edge: Examples

7. Algorithmic trading

8. Investment
/
Trading
Style
Strategy types
Underlying Trading View / Factor
Quant Momentum (time-
series or cross-
sectional)
Pair-trading,
most types of
statistical
arbitrage
Advanced
models (e.g.
HMM, regime
switching)
HF Market-
making, Cash-
futures arbitrage
News-based
automated
trading
Technical MA crossover,
Continuation
patterns
Swing,
Retracement,
Pivot trading
Opening range,
dual thrusts,
patterns
Range-based
short gamma
(vol selling)
Limited use
cases
Fundamental Factor-based
investing
Value investing Value/RV
(relative value)
strategies)
Cross-asset,
cross country
RV / short
gamma
Usually
discretionary
Trending Mean-reverting Break-out Carry Event-based

9. Competitive Edges in Trading

10. Competitive Edges
01
Speed
Colocation, Data Centers,
Network/Hardware infrastructure, Algo
Trading System
03
Strategy infrastructure
Research lab, Back-testing engine, Time
from idea to live, Pricing algorithms/models
02
Market/Alternate Data
04
Information/News
Access to information, faster
reception/processing of news & information
05
Backoffice/Risk
Risk management tools, Risk
evaluation/mitigation models
06
Funding cost & taxation
Low cost of funding, Access to clients/funds,
Speed of fund access matters!
Data sets, Proprietary data, Exclusive data
Access to markets
Access to trading destinations, liquidity,
preferential market microstructure
People & Knowledge
Skills, Dedicated team
Intellectual property
Strategy, Hardware, Software, Process
knowhow
07 08 09

11. Edges for different strategies

12. Relook: Strategy types & edges

13. Q&A

14. Complete
Webinar Recording