The Libra Observer

🇬🇧⚖️The Libra Observer: January Intelligence Crypto News

economic intelligence: january cryptonews

Economic Intelligence Analysis about CryptoCrime, Libra, CBDC e Telegram

Crypto Crime and Bandits

The main component is fraud, implemented mainly through Ponzi schemes and ICOs. This demonstrates both the ignorance of the market, which still characterizes those who approach it, attracted by easy gains, and the scarce training work carried out by the media, despite the very articulated coverage present with constancy also in generalist newspapers with wide circulation. Relative growth for transactions on the darknet, theft, ransomware and terrorism.

As always Chainalysis does not mention the sources of the analysis so it is difficult to understand the reliability of what it says. If for some cases (scams, darknet marketplace, and a little bit for thefts) it is intuitable the methodology of analysis, which derives from the cross between internal data and public statistics, for others (terrorism, child pornography market) the extrapolation of the conclusive data is, in the absence of a description of the process, of arbitrary origin.

On the micro level, instead, two interesting factors are highlighted. The first is the activity, improperly defined OTC in the absence of better (there is no canonical difference ‘In/Over The Counter’ in the cryptomarkets), by operators with broker functions who mediate on their own between single bid/ask and, subsequently, turn to the exchangers for the exchanges deriving from the conclusion of the agreement. Chainalysis based on the fact that most of the illicit transactions, from two analyzed exchangers, originated by OTC, highlights the potential dangerousness of the brokers in terms of tracking.

The second factor, the proliferation of decentralized exchagers, such as Bisq, where no-rule is the rule and therefore the potential dangerousness is also highlighted. The comment is the same as before: if the highlighting is a positive factor of the analysis, there is no evidence in the reliability of danger conclusions but only suppositions. So it is necessary to take the deductions of Chainalysis always with the benefit of the doubt, also because cryptocurrency remain, if properly used, an excellent non traceable recycling vehicle of which Chainalysis certainly does not have full quantitative awareness, basing its analysis only on data derived from its own activity.

For the intelligence activities connected to the crypto world of Iran, China and terrorism, excellent analysis on Forbes.

Libra and Facebook


The focus is on operational tests, such as SandDollar of the Central Bank of The Bahamas, the increasingly accurate definition lines of the Chinese cryptoYuan project, the analysis of the influence of stablecoins and hypothetical CBDCs on current systems, the thinking of opinion leaders and the preparation of several central institutions (and their joint study groups) on how to address and be actors of change. Also interesting are the opinions of US Dollar stakeholders, such as IMF, whose value is that CBDCs never see the light.

Telegram Gram

The US is therefore caging Telegram, by SEC, in a lawsuit concerning the commodity nature of the ICO token, so on compliance with the rules of knowledge of the data and accounts of buyers (direct and indirect) of the 1.7 USD billion tokens (sold in the US and considered by the SEC as financial instruments and not commodities) and on the respect of privacy regulations towards the buyers (in all countries where the tokens have been sold). It is clear the aim is the Telegram’s exhausted, being the company unable to provide the requested data.

A first result was that on January 6 Telegram backtracked, in order to October 2019 when the Gram operation was detailed, stating that Gram’s wallets will not be incorporated into the text app but managed by a third-part application. The scenario for Telegram appears uncertain compared to the road-map announced in October.


This is an English adaptation of a neuronal Italian/English AI translation by DeepL