👀Vision and development roadmap

Vision

We are passionate anonymous researchers in the cryptocurrency and artificial intelligence (AI) industry. With a small yet experienced international team, we continuously explore new techniques while keeping ourselves updated with the latest advancements in core AI development. Reinforcement Learning (RL, employed by ChatGPT) has shown promising results in price prediction and optimizing trading risk and profit. Additionally, we recognize the potential of Large Language Models (LLMs) in gathering alternative data sources such as market sentiment analysis. Our dedication to rigorous research, experimentation, and learning sets us apart in this field, and we aspire to make meaningful contributions to the development of the cryptocurrency market. To amplify the impact of our work on a larger scale, we are integrating our models into various global cryptocurrency exchanges, providing cryptocurrency trading signals with the aim of developing trading bots capable of making informed decisions based on our price prediction models. Furthermore, we are exploring the use of social listening tools to identify potential "hidden gem" projects in the cryptocurrency world, realizing that market sentiment analysis can be a valuable source of information for predicting the success of new projects, combined with our existing mathematical models. By combining these different approaches, we hope to create a comprehensive strategy for profitable cryptocurrency trading based on advanced technology and deep understanding of the market.

Development Roadmap

Q1/2023:

• Deployed trading signals for 2 pairs BNB and SOL in futures market in ONUS exchange.

Q2/2023:

• First fundraising round: IDO in ONUS exchange.

• Training models for 10-15 cryptocurrency pairs.

• Start researching Reinforcement learning techniques.

Q3/2023:

• Round 2: Raise funds to develop a comprehensive Reinforcement Learning model for generating trading signals with the goal of increasing the win-rate (up to 80%) parallel to the profit factor measurement. Expected amount: $600,000

Q1/2024:

• Integrate with other exchanges in Vietnam and the region.

• Deploy the complete reinforcement learning model into practice and publish a whitepaper.

Q2/2024:

• Start researching the Large Language Model (LLM) to gather alternative data, including social media data and on-chain data.

• Round 3: Fundraising to build a complete Large Language Model (LLM). Expected amount: $600,000.

Q4/2024:

• Deploy the first version of the Large Language Model (LLM). Apply it to the project of searching for potential “hidden gems" for cryptocurrencies with medium and small market capitalization.