Ankit Garg Profile picture
Dec 18, 2022 14 tweets 5 min read Read on X
Re-doing my #BookRecommendations for beginners in the world of systematic/quantitative trading and investing as recently received several Qs.

Retweet/Share with anyone who might benefit.

In no particular order -
1. Systematic Trading by Rob Carver
@investingidiocy Image
2. Expected Returns by Antti Ilmanen. This book shares expected sources of returns from past. not that one may find those now. He also featured on @choffstein podcast - "Flirting With Models". Worth a listen. Image
3. Inside the Black Box - Rishi Narang
This is essentially talking about all moving parts that may be needed for an algo trading set up. Image
4. Quantitative Trading by Ernest Chan
@chanep
The two books by Ernie also provides basic foundations on types of strategies and approaches to quant and algo trading. Image
5. Algorithmic Trading by Ernest Chan
@chanep
The two books by Ernie also provides basic foundations on types of strategies and approaches to quant and algo trading. Image
6. Quantitative Momentum (Investing) by Wesley Gray & Jack Vogel
@alphaarchitect
Long Only Portfolio construction in stocks. Robust methods. Image
7. Active Portfolio Management by Grinold and Kahn
This has broader applications than just a simple portfolio. Learn to understand difference between skill and luck and how to quantify that. Image
8. ML for Algo Trading by Stefan Jansen @ml4trading (Advanced Level Book - not For beginners). Image
9. Trend Qualification and Trading by LA Little.
Introductory series for those coming from chart reading background. Image
10. Flash Boys by Michael Lewis
To understand how HFT change the markets and how it may change in future. Image
11. The Man who solved the market - Story of Jim Simons
Pure inspiration and background of what it may take to be successful in this business - lots of heartbreaks and failures. Image
12. Trading and Exchanges - An absolute must for any TRADER. This should ideally have been #1 on my list. But I just remembered it. Image
13. Adding this recent release to the list.

Advanced Futures Trading by @investingidiocy Image
14. This is one of the books that does not have trading systems or methods, but is a very good starter book to create statistically sound indicators for trading.

The algos in this are in C++, yet with modern day Python its fairly trivial to replicate.

Warning: not easy for non-stat/non-quant traders.

Statistically Sound Indicators - Timothy Masters

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More from @Ankit_Quant

May 10, 2023
"Elements of Quantitative Strategy Design"

This is from a Jul-2020 webinar that I did with @vihan13singh, when I barely had 500 followers.

I bet most of my network would have not had a chance to watch this.

Adding links below for anyone interested to watch.
1/5 Image
Part 1 - USDINR - No Brainer Strategy

Talks about FX markets, USDINR mechanics, a simple USDINR straddle strategy.

2/5
Part 2

Goes into exploring quantitative approaches to trading. Introduces NEMESIS strategy and then optimizes it using Mean-Variance Technique.

3/5
Read 5 tweets
Jul 5, 2022
Macro Analysis of FX. Putting my erstwhile FX trader hat on to analyze what is happening with global markets.

I see the #CrudeOil move, #EURUSD move as a flight to safety move into USD.

I'm trying to explain the causation of flow in below thread 🧵

1/n
What all is losing ground against #USD?
#CrudeOil 🔻8.32%
#EURUSD 🔻1.77%
#GBPUSD 🔻1.49%
#Gold 🔻2.1%
#BTC 🔻2.7%

All these are being sold against USD. The money doesn't leave the system. So where does it go?

In risk-off environment it goes to safe havens such as:
2/n
#USD, #CHF, #JPY, Long-Dated US bonds (30Y) & #GOLD.

While some G10 FX pairs have lost upwards of 1.5%, both safe-haven currencies of JPY(🔻0.11%) and CHF (🔻0.89%) are seen relatively stable when compared to other G10.

US30Y Yields are down (bonds are up) by🔻4%.
3/n
Read 7 tweets
Jun 18, 2022
#BookRecommendations for beginners in the world of systematic/quantitative trading and investing. Will add more with time.

Retweet/Share with anyone who might benefit.

In no particular order -

1. Systematic Trading by Rob Carver @investingidiocy Image
2. Expected Returns by Antti Ilmanen Image
3. Inside the Black Box - Rishi Narang Image
Read 8 tweets
Jun 1, 2022
I am going to take liberty and expand with book names on some very fine recos by Roy. All books available on Amazon.

1. Sheldon Natenberg
2. Euan Sinclair
3. Colin Bernett
Read 8 tweets
Sep 1, 2021
No Matter how many algos I hv created in past, evry time I bring a new algo to LIVE trading-I'm jittery. That is the human side of Quant Trading. We build robots/systems – but ourselves are humans with same apprehensions and self-doubt as anyone else. A 🧵of my learnings 👇: 1/n
from bringing #QUICKSINGLES to research stage to LIVE Investor Deployment. It has hit a new ATH today and now has had 60 trades to it on LIVE Trading. Some background of research and approach first: 2/n
I had bt this strategy and associated robustness testing was completed in Mar-21. For the first time I was experimenting with a pure Data Driven strategy research (it had no hypothesis when I started my research). I was skeptical of my BT and kept on finding ways to break it. 3/n
Read 15 tweets
Jul 8, 2021
Efficient Capital Allocation - A🧵
A lot of traders are looking to deploy multiple systems with opposing styles (trend following + vol selling) on same capital to enhance returns. The assumption is that with sufficient buffer, idle capital can take care of losses in one sys. 1/n
While some results may be generated from the other system. The risk from this comes in form of systems becoming highly correlated and leading to more than perceived DD from back tests. The traders can be better off if they perform following: 2/n
1- Understand if your returns are coming from different aspects of markets. This could be cross asset class or from different style (Trend/Mean rev/Vol selling etc) 3/n
Read 7 tweets

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