Update for December 2023

Formal Update by the Shezhea NET Team Members

We have opted to postpone the Proof of Concept MicroGenesis #1, which was originally scheduled for rollout in Q1 2024. We remain uncertain about the potential benefits of initiating the Proof of Concept with assets under management (AUM) below $100,000,000. We intend to treat this AUM not as trading capital, but rather as collateral with a multi-signature function, backed by trusted hedge funds and Capital Providers. Our team has evaluated the option of initiating the Proof of Concept and potentially halting it during the Epoch due to high server costs or running it on a low level without any high-frequency trading (HFT) algorithm and On-Chain Money Flow (OCMF). We have decided to forego both options. While running a successful low-AUM epoch with small capital gains could serve as a proof of concept, it would not be a productive business decision and could threaten financial instability.

We have successfully integrated OCMF with the Solana Blockchain and its leading protocols. Our team is presently developing a tool that will enable OCMF to provide predictive timed probabilities over bridging functions, effectively making it interchain. We are working together with more experienced Solana Developers for our Liquidity Pool on the Solana Blockchain. The Uniswap Liquidity Pool for $MAI will stay. We are continuing to focus on developments on a large institutional scale and we can without a doubt ensure that we are already, from a conceptual point of view, more profitable than most HFT Houses. To some degree, we are ahead of our technology, ahead of the developments in the Julia Language, and we had to consider some changes in our approach as a framework. While we don't have the time necessary to outline a new language, we can modify existing ones. Data Aggregation and Data Analysis in the form of Modular Processing Frameworks (MDF) are crucial for a fast low-latency analysis of data, and we can now observe this issue unfolding in front of us, during the past developments inside -1 Modelling and especially Multisided Fraction Executions. Data has to be a) analyzed faster b) has to compile faster to results c) has to execute faster. Sheer if, then, else statements are currently just more efficient than MLT-HFT AI-based frameworks. Not because of the quality of the output, but because of the latency time between the input and the execution. With the progress and unique approach in -1 Modeling, we realized that the issue is speed, and nothing but speed. At this stage, we are already as a concept more profitable per trade taken than most HFT Houses. While this should be treated as a highly valuable achievement, we have to treat it just as a concept and not as an actual achievement. Overall (at this stage) we are less profitable because the amount of trades taken is way lower than regular HFT Houses and the trades are not capable of being live executed with the profitability it would be capable of. The moment we leave the issue outlined in Multisided Fraction Executions in skNQx and the Latency Issue behind, we achieve unlimited upside and limited downside. We will soon publish more research on Multisided Fraction Executions and how to approach this challenge.