Last day I provided my trading team (they adjust our algos and monitor the market and our PnLs) a list of books that would be great to read if you start being interested in HFT.
Market Microstructure in Practice - Good book especially about the fragmentation of the market (which is a very interesting topic in the crypto universe), some basic stuff related to the algorithms in HFT
Algorithmic Trading and DMA - Very good book related to the AlgoTrading. A lot of knowledge about order types, DMA, execution algorithms etc. I recommend it for the first book after you gain some basic knowledge.
High-Frequency Trading - Very good book if you try to implement your HFT algos and want to get some insight on how to use information from the orderbook. A good chapter about volume clock from De Prado.
Now the most important thing - nobody can do it for you. Just grab the book, sample of some data and try to do something. I hope guys from my team will do it as well. If not - I will complain about them here on Twitter.
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Recently, I got DMs regarding how I use AI on a daily basis, so I’m going to explain it from my PoV. Currently, my job is more business-related rather than quant. I am responsible for strategic partnerships, the research planning, new investments (both financial and technological) and of course leadership as well as recruitment process. That’s the reason why you can find my PoV interesting. 🧵
Use Deep Research Mode - I try to use it constantly before important meetings or in order to get the first exposure to some topic. You have important meeting with a person from business that you are not familiar with? You talk about new financial product that you have not seen before? You talk with startup founder about an idea that you have never heard about? That is the ideal case for Deep Research.
Use AI for the worst job - AI is here not to do all creative job in order for you to do laundry whole day - it is the opposite. Look for the things that it can automate, use it for short scripts or analyses that would last couple of hours but not can take you 30 minutes from start to conclusions. That is what AI is for you. Do not focus too much if “AI reasons or not” - it does not apply to 99% of your cases. Think about “ai-value / risk” matrix - if something has small cost of making mistake then automate it, in case of big cost - just let it be your assistant.
I got a lot of messages regarding materials for perpetual swaps (and CFD). Let's focus more on perps and what to do and read to better understand this instrument.
I provide you with articles, exercises and plan to work on perpetual swaps. 🧵
Firstly, assuming (almost) zero knowledge, I would read exchange docs with explanation. Something simple - read the article, read the docs and try to fully understand the basics. There is no worse situation than starting without deep, fundamental knowledge.
After that deep understanding of the basics, you should read one (JUST ONE) paper to understand something that is a bit more complex and will reveal more for you. It can be one of them:
Why you should not catch a knife on small-cap instruments? 🧵
Today, I’m going to give you one of the most important lessons you can get if you want to be profitable long-term (with statistics and examples).
We all have the desire to think that a 30% drop is just a discount and a time to buy your favorite, solid-looking coin. That is far from the truth.
If you want to read only one thing today, this is the one you should choose.
#CryptoTrading
Story:
Imagine your favorite coin — the one you follow on X and engage with on Discord — drops 30% without any specific event. (Let’s assume BTC didn’t drop more than 3% on the same day.)
First thought?
“I’ll buy it — it’s a super cool project, and this is just a discount.”
Unfortunately, on average, that’s the wrong choice.
And I’ll show you why — with data, and a possible explanation.
I took all the data from GATEIO from the last 2 years. I filtered all days where a particular coin had a 30% decline, with less than a 3% decline on BTC. I promise you — no parameter calibration was done. I just picked those two numbers arbitrarily. They simply felt reasonable.
After that, I created plots of price action over the 90 days following the drop. 1 on the Y-axis means no change from the close price on the day of the drop. Everything below 1 indicates a further decline.
TOKEN2049 in Dubai is behind us, and it's time for reflections. I've prepared a short list of observations from my week in Dubai—I hope it gives you a fresh perspective. Remember, if you want a comprehensive view of TOKEN2049, don't rely solely on my list; read others' reflections too. We all attend TOKEN2049 with different goals, levels of preparation, and meet different people. Also, when I make statements, assume the Pareto principle—meaning it's true 80% of the time, not 100%. There will always be outliers or exceptions.
#Token2049Dubai #Crypto
EXPO is getting worse → The expo is now 60% exchanges (mostly low-quality, but not exclusively) and market makers (also mostly low-quality). Nothing new, important, or interesting. Few good projects or narratives to keep you engaged at the expo, and many important people didn't even bother getting tickets.
Huge number of shady MMs → There's a crazy number of shady market makers (mostly Russian Gotbit spin-offs or something similar) aggressively trying to get contacts. The last time I felt this way was in Florence, with vendors aggressively selling bracelets. I strongly advise founders and people who care about their projects to be cautious—these companies sell visions of huge pumps followed by quick cashouts. If you're planning to scam and pump your project by 1000% to cash out 90%, go with these shady MMs; they're perfect for it.
I would like to recommend this book to all of you - Unreasonable Hospitality is simply great. I love it so much that I gave it to a couple of the most important people in the company to share the values from the book. Quick review in the thread 🧵
Read this book!
#books
This book is about a lot of topics - philosophy of hospitality, leadership, management, progress, mentoring and great experience at work.
Here is the list of my best quotes from the book:
"People will forget what you do; they’ll forget what you said. But they’ll never forget how you made them feel."
I guess most people would say we've had a small (or maybe not-so-small) bull run over the last 3–4 months. I analyzed data from before the US elections and checked the price statistics for coins traded on Binance. Nearly 70% of coins are now trading lower than they were before the elections!
That seems pretty crazy given the recent market sentiment. Let’s take a Sunday afternoon break and dive into the data.
Here are the top 5 performing coins during this period:
HBAR (+434%)
XRP (+369%)
OM (+343%)
XLM (+255%)
VTHO (+211%)
And the bottom 5:
NEIRO (-76%)
RUNE (-76%)
BOME (-73%)
PEOPLE (-70%)
WIF (-67.8%)
Below, you’ll find the full TOP 10 and BOTTOM 10 rankings for this period.
Now, here’s a really interesting chart. It shows the percentage of instruments that reached their highest price (so far) before a specific date. It turns out the crucial period for traders was between December 3rd and December 9th—almost 80% of coins hit their peak during this short window.