Armor employs a combination of Large Language Model (LLM) AI and Agents to understanding the world and act on user tasks autonomously. We collect data from several sources for reference, ,insights and to train the AI. This gives us market trends, insights and with user behaviour, Armor learns how you like to trade, what your risk appetite is and your quirks.
Armor is currently working with OpenAIs LLM and exploring how different data sets both historic and time sensitive data. The goals is to private the AI with information about what has happened in the markets and what is happening as well. But even more importantly we are training the AI to consider several sources of forecasting both quantitative and qualitative.
Our goal is to use the 'standard' data as the foundation of the AI but then your behaviour, attitude about the market and trading habits augment this learning. Both your successes and your failures are used to train the AI so it can both trade more like a specific user but if it sees a pattern based on market behaviour our one of your past trades, it can warn you and help you strear clear of making the same mistake twice.
We are still in early day of this training, we will have successes and failures but we will share along the way so our users can get a better understanding of what is involved in bringing a meaning AI powered crypto wallet to life.
Block Data
Trading
Twitter Insights
Stock/Political Insights
Trend Indexing
Unlike traditional programs, AI agents possess the autonomy to make decisions and take actions without human intervention based on their programming, learning, and the data they process. These agents can range from simple, rule-based systems to complex, learning-driven entities that adapt and optimize their behavior over time.
AI agents differ from conversational AI or chatbots primarily in their scope and functionality. While conversational AI focuses on simulating human-like conversations, often within a narrow domain of knowledge, AI agents are designed to perform a broader range of complex and multi-step tasks. This distinction underscores the versatility and potential of AI agents to impact various sectors significantly. AI agents are pivotal elements of the future AI economy. They will enable the automation of complex, dynamic tasks that require real-time analysis, decision-making, and adaptability, which isn't quite the scope of conversation chatbots. Although intelligent agent-based systems might still have conversational interface to take human goals, get feedback from humans, and share results and outcomes with the humans.
Armer Wallet is built around the concept of agents. Agents are AI based tools that users interact with and task various different actions. Whether it's a trade, research or managing your current investments. There are three types of agents in Armor Wallet, the first is the trading agent which operates similar to a trading bot but more autonomously and with much more intelligence. Second we have the portfolio agent, the role of the portfolio agent is to protect and manage your assets. The third and final agent is a research agent that go out and hunts the market understand what's happening, find new gems and dig into market sentiment.
The agents work in concert with one another to provide a full suit of investment tools. The research agent is constantly analizing the market using the requirements you have given it to hunt. It also shares with the other agents providing them with market inputs to better the choices they make. Similarly the trading bot works with the portfolio to buy and sell assets in and out of the portfolio. The role of the trading agent is to make the best trade and the role of the portfolio agent is to protect the assets under management from loss. All of the agents interact with and learn from the user through discussion and guidance the user provides. All of the agents are learning from you all the time.
When the agents are use together they provide a complete suit of investment tools for a users to leverage and become faster, more informed, more profitable and safer.
An AI is only as good as it training. If you learn to drive a race car from a airplane pilot, you will be a terrible race car driver.
Our AIs intelligence comes from several different sources. and these sources will be changing as we find better solutions more valuable insights and more successful strategies, the AI should pick up on this and fold it into the Armors' intelligence.
The more conversations you have with Armor the better in can serve you. It will learn from how you trade and also based on where you get your signals from. You can use Armor to hunt the way you hunt and pick promising tokens theh way you do. Have the conversation and help Armor learn to be a better trader so it can work for you 24/7.
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