What else can I do besides writing messages on the blockchain ?

In my previous Letter from a Blockchain Agnostic I kept hammering down the basic use of a blockchain:

Blockchain keeps records that cannot be (easily) faked nor destroyed.

As a ‘thought experiment’, I added the example of someone who would like to record their UK visa status on the blockchain (instead of a UK government centralized digital database) to avoid a repeat of the Windrush scandal when

“The only official records of the arrival of many “Windrush” immigrants in the 1950s through to the early 1970s were landing…

Given my background, I have been asked over and over my opinion about Bitcoin and Blockchain, both from highly skilled Financial professionals to ‘friends and family’.

The debate on cryptocurrencies has been extremely polarized;

Evangelizer: “Bitcoin’s structure is very ingenious. The paper money disappears, and crypto-currencies are a much better way to transfer values than a piece of paper, that’s for sure.” Elon Musk.

Skeptic: ‘Black Swan’ author Nassim Taleb says bitcoin is worth zero and fails as a currency and a hedge: CNBC.

I am a Blockchain agnostic, neither an evangelizer nor a skeptic, but I am curious about…

Recently I have been asked about using private company public data information for financial purposes (which could range from credit scoring to potential private equity investment).

In the UK all companies have to register at the Companies House in a process that usually takes minutes, but:

At the moment, the Companies House register includes almost 4.5m UK businesses but it operates in much the same way it did 150 years ago — meaning criminals have been able to set up seemingly legitimate shell companies without the most basic identity checks.” (Directors to face ID checks in antifraud crackdown, FT)


I write this as precautionary tale intended to Engineering undergraduate students interested in the areas of Data Science and Artificial Intelligence (initially given as a guest lecture at Mexico’s ITAM video-link in Spanish)

Data Science Venn Diagram (source)

Data Science is supposed to be the intersection of Computer Science (hacking, understanding databases), Math and Statistics (advanced modelling) and Domain Knowledge (Finance, for this tale). Each discipline traditionally required its own career syllabus, and in real life is almost impossible to find someone who is proficient in all three fields.

In my experience, I have noticed that some people might be very strong in two out…

(2021–02–16: Update — I added a link to the Yahoo Financial charts on the First table; clicking it takes you to the price plot for the stock)

Using the code published in (Demystifying) Sentiment Analysis in Finance I developed an automatic script that reads the ‘hot’ posts in r/wallstreetbets, identifies the stock tickers, and then looks for SEC Form 13F that also mentions them. I do not include the sentiment score as it uses a movie review off-the-shelf analyser completely incompatible with Financial Sentiment.

The output of the code also highlights many caveats on automatic analysis: there are many ‘false…

This article is the second in a series co-authored by Gerardo Lemus from Quanto and Kumar Suppiah of Project Jarvis. Project Jarvis is a pre-incorporation stealth mode digital asset trading startup supported by Quanto.

Gerardo does the quantitative heavy lifting while Kumar tries to break it down into layman’s terms with a dash of dry humor. Our co-authored articles are published by each individual author and you may find it reproduced here.

It is a universally acknowledged truth that any serious article worth its salt should eventually contain a cat meme (How Cats took over the Internet), and as a…

What do wine snobs, and Chinese anti-corruption laws have to do with failed statistical arbitrage? Just by reading the previous line aloud I am sure most of the readers already have either fallen sleep or clicked out of this blog.

I have written in the past about the perils of finding spurious correlations in Finance, and particularly about the inability of machine learning algorithms (and some very smart people) to identify the causal model that drives the prices of financial assets. Below we can see a typical model-breaking example, but with tastier assets than subprime mortgage backed derivates.

Look at…

G. Lemus

Co-Founder of Lamat, a company specialized in solving high-value problems in finance by applying cutting edge numerical methods. www.lamat-uk.com

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