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.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
I've read and analyzed the book “Going Infinite” by Michael Lewis about SBF. I'll try to show you interesting quotes, problems, lies, and why the fundamental problem was that SBF was a complete chronic liar. I’ve worked on it for a few days and it'll be a big thread.
1/43 🧵
[2/43] I am going to split the topics into four parts: the book, SBF, FTX, and overall conclusions. All of the topics will be described with examples, quotes, and my own analysis and opinions.
[3/43] The first thing is the book - most of it (~70%) is about idealizing SBF and creating an image of a genius and the most generous person in the world. All of the worst possible personality traits were justified by his greatness.
[1/n] Friday’s night crash was very interesting because there was no big news at this moment and some of the instruments fell about 50% within two hours. I would like to break down the microstructure behaviors and do an overall analysis from that day. 🧵
Firstly, let’s take a look at the macroscopic view of the market. On the histogram, we can see the changes from the highest price to the lowest price within the first couple of hours of June 10th (UTC). Big moves around the whole crypto space.
Some of the instruments fell about 50% and GTC fell over 73% due to the fact that during such crashes, liquidity is poor. This example can show you how liquidity is important when there is huge volatility in the market. Unfortunately, this move happened during the weekend.
[1] The hottest topic in the crypto universe last couple of days was $PEPE - a meme coin that went to top 40 coins and was the biggest meme surprise since SHIB in October 2021. How did the market look in the HFT data? Let’s see! 🧵🧵
[2] I focus on CEX trading because there were more analyses related to the $PEPE and trading on DEXes, such as the great thread by @thiccythot_ which can bring you a lot of value in terms of understanding what happened on $PEPE. Highly recommended thread.
[3] What is important in terms of the analysis of $PEPE is that we should divide our analysis into two periods: The first move with only a couple of exchanges that had $PEPE listed with really small liquidity and the second move with other exchanges in the game such as OKX.
A couple of days ago we had probably the most important listing this year - $ARB. It is the best possibility to understand the market because of the lack of perpetual swaps, withdrawals, and liquidity. Let’s take a look at it through the eyes of an HFT player.
In the first minutes of the trading, there is absolutely Wild West in terms of the market microstructure. You do not have perps and withdrawals, so the capability of HFT players is limited and then you can see the purest form of trading.
One of the first exchanges that listed $ARB was Kucoin. How different and strange is the market in the first minutes can be proved by the fact that although the possible price consensus for ARB was $1.3-$1.5, buy orders for over $200k were created over the price of $10.
A lot of (probably most) the crypto exchanges produce fake trades that count into the overall turnover in order to move the exchange up in volume rankings. How really famous exchanges do it? How we can see it?
What do I mean by fake trade? It is a trade that you, as an other player in the market, cannot participate in, because it is an exchange's trade with itself. If you are not able to participate with this trade, it should not be included in the overall turnover.
Unfortunately, it is how a lot of exchanges promote themselves in rankings where they fight with tons of other exchanges. How can we spot it?
Recently, I watch @LomahCrypto videos. What is visible, is that he almost always trades hot coins + BTC/ETH. What I wanted to check is if staying with top performers is typically good for you or not as a trader.
🧵I think the results with be insightful for everybody.🧵
Data consists of all the Binance Spot instruments with quote currency in USDT and BUSD.
Firstly, I wanted to check the relation between price change in the first and second periods. You can see that the relation is good for us - better coins in period 1 are better in period 2. Unfortunately, we have 2 outliers that make our model bad (GALA and LDO)