CryptoFinance

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…

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…

Yupana - Project

Agent Based Modeling Framework for Cryptofinance

We live in a financial world where, if it takes you more than a few moments to discover a 300-page document in Mandarin from a People’s Bank of China website, translate it, understand its impact on the market, and deliver this actionable intelligence to your trading engine, you are already behind. The amount of data coming online is overwhelming current analytical tools that were built for the walled gardens of uniformly structured data.