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Enhancing geotagging models

We enhanced our NLP models and expanded the scope of the analysis to include more trading venues and products. We fed millions of social media posts into the model to get more precise results with higher confidence levels, and increased geotagging granularity to map users on a state/province level.

Building on top of our crypto users mapping work featured in The Wall Street Journal, we enhanced our NLP models and expanded the scope of the analysis to include more trading venues and products.

NLP Insights into Guatemala’s Remittances: Traditional vs Crypto Services

According to 2020 World Bank data, remittances make up 14.7% of Guatemala’s GDP. Inca Digital through natural language processing named entity analysis sought to ascertain the usage of traditional vs crypto services to deliver these remittances.

According to 2020 World Bank data, remittances make up 14.7% of Guatemala’s GDP. Inca Digital through natural language processing named entity analysis sought to ascertain the usage of traditional vs crypto services to deliver these remittances.

Stablecoin Volatility Analysis – BIS Variance Threshold

None of the stablecoins analyzed met the Variance Threshold (VT) that the difference in stablecoin/fiat value must not exceed 10bp of the value of the underlying fiat more than three times over a one-year period.

Inca Digital approached this report addressing the following requirements:

Geotagging Crypto Derivatives Traders with NLP

Although the blockchain space supplies troves of open data to sift through, trading venue activity often remains a mystery due to unreliable trade data and a lack of transparency from trading venue owners. To fill these data gaps, we leverage a variety of Natural Language Processing (NLP) techniques that can produce reliable datasets based on the digital footprint of crypto users.

Inca Digital’s Investigation Team is often tasked with collecting hidden data on crypto market participants. Although the blockchain space supplies troves of open data to sift through, trading venue activity often remains a mystery due to unreliable trade data and a lack of transparency from trading venue owners. To fill these data gaps, we leverage a variety of Natural Language Processing (NLP) techniques that can produce reliable datasets based on the digital footprint of crypto users. In the…

Nakamoto Terminal CBDC Factbook: The Bahamas

The Bahamas’ Sand Dollar is a distributed CBDC that was rolled out on October 20, 2020.

The Bahamas’ Sand Dollar is a distributed CBDC that was rolled out on October 20, 2020. The Bahamas is one of the first countries to move beyond pilot testing of its CBDC. It has a functioning blockchain ecosystem and is progressing in creating CBDC-specific legislation. As The Bahamas is an island nation and has many residents who do not have access to financial services, the Sand Dollar’s main objective is to provide greater financial inclusion across all the country.

Nakamoto Terminal CBDC Factbook: European Union

Europe’s Digital Euro is a joint CBDC project of the EU member countries.

Europe’s Digital Euro is a joint CBDC project of the EU member countries. As of February 2021, the European countries are more or less on the same stage of conceptualizing the legislative, technical, and business components necessary for a CBDC. The only exception is France, which has already conducted two pilot tests. Despite the countries’ independent efforts, the European Central Bank (ECB) will be the one responsible for the introduction of the Digital Euro. Christine Lagarde, President of…