One of the elements at the core of AxionV is Artificial Intelligence and the superior investing opportunities it enables, especially in the crypto world. Since the crypto world is constantly moving 24/7 and has far too much to keep track of for an average human investor, AI investing has a natural edge over the competition, allowing it to consistently achieve outsized returns.
When we came out of stealth in late July, Fortune and others were very excited about the unique proposition that AxionV offered to the crypto space, and we’re glad to see that other media outlets are getting just as excited for AxionV’s future.
Peter Borovykh, AxionV’s Head of Algorithmic Trading Strategies, is particularly excited for what the AI can offer investors: “The AxionV AI tracks trends and analyzes markets constantly, giving it a huge edge over any human trying to do the same thing. This allows for maximum granularity when determining entries and exits, all while executing broad strategies.”
Welcome to AxionV: Video
Here is an excerpt from the Silicon NYC article:
AI investing has captured the fascination of finance experts for several years. The appealing idea of a computer analyzing markets and identifying trends 24/7 is only matched by many investors’ reservations about giving control of their money to AI, especially in a market as volatile as the crypto space. However, the benefits of AI trading are numerous.
As humans, we simply cannot apply complex trading strategies, we struggle to identify when to buy and when to sell, and we can only work for part of the day. AI trading solves these issues, as it can process and execute complex trading strategies, be strategic with entry and exit points, and works around the clock. AxionV is an AI crypto fund that is undertaking an ICO starting September 16. They are in their “Momentum Stage” and are harnessing the power of AI for cryptocurrency trading.
To acquire some background on why their approach may work, I explored the current research on AI in finance. Many believe that AI investing methods only relate to the automation of asset selection. However, the uses of AI goes far beyond that. According to “Artificial Intelligence in Financial Markets” by Dunis and Middleton, AI in investing has at least three major use cases all statistically verified by academic research of artificial intelligence algorithms and neural networks:
- Price prediction
- Portfolio management
- Risk management
Read full article here.