CryptoFinance

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 system. Today, these systems proliferate faster than one can keep up with. Some projects are interesting…

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 evolutionary biology, logistics, and nuclear physics. While methods of ABM have been effective for specific use-cases, they fail to be a generalizable and scalable over multiple systems. Popular…

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.