51% Attack Cost

How To Reach a Standard Definition for 51% Attack

Many intrinsic and extrinsic factors combine to influence prices for digital assets. As we observed of late, prices can be influenced by any of these factors at any given time. However, when considering investing in a given digital asset it is necessary to assess the underlying value of that asset with well-defined fundamentals. The intrinsic value of digital assets is assessed with fundamentals like company health, code health, and 51% attack cost.These fundamentals and more should serve as the…

Proof of Work

Remote Work in FinTech

Inca is a remote company. We have offices in Washington, DC and Paris where our team is free to hang out and work for as long as they want – but nothing mandatory. They all work where they want, when they want.

One of the immediate goals of the Yupana project is to go beyond an academic exercise and prove the conceptual viability of Agent Based Modeling approach in a real-world market simulation and predictions application. The crypto-asset ecosystem, and Nakamoto Terminal platform, specifically, provide a perfect testbed thanks to a vast amount of time-stamped data, an active developer community, and a scalable infrastructure with access to multiple 3rd party services.

Yupana in CryptoFinance

Predictive Modeling In CryptoFinance

With the publishing of Satoshi Nakamoto’s white paper, “Bitcoin: A peer-to-peer electronic cash system” (2008) based on Adam Back’s Proof-of-Work System, and the subsequent open-source software release of Bitcoin in 2009, the door to distributed ledger technology was opened. Bitcoin paved the way for new cryptographic systems to be created at will through forking or development of a new project. Today, these systems proliferate faster than one can keep up with. Some projects are…

Yupana - Architecture

Agent Based Modeling Framework for Cryptofinance

As stated in the previous post, Yupana - Global Vision, conventional modeling techniques for simulating complex environments have relied on a set of fixed rules to govern how the model is to function. Agent based models (ABM) have been used for this purpose, to represent complex systems such as those in evolutionary biology or economics. While methods of ABM have been effective for specific use-cases, they fail to be generalizable and scalable over multiple systems. Popular heuristics such as…