Armor employs a combination of Large Language Model (LLM), AI, and Agents to understand the world and act on user tasks autonomously. We collect data from several sources for reference and insights and to train the AI. This gives us market trends and insights, and with user behavior, Armor learns how you like to trade, your risk appetite, and your quirks.
Armor is currently working with OpenAI's LLM and exploring how different data sets, both historical and time-sensitive data. The goal is to provide 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 behavior, attitude about the market, and trading habits to supplement this learning. Your successes and failures are used to train the AI so it can trade more like a specific user, but if it sees a pattern based on market behavior in one of your past trades, it can warn you and help you steer clear of making the same mistake twice.
We are still in the early days 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 meaningful 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 primarily from conversational AI or chatbots in 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 interfaces to take human goals, get human feedback, and share results and outcomes with humans.
Armor Wallet is built around the concept of agents. Agents are AI-based tools that users interact with and task various actions. It can be 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 similarly to a trading bot but more autonomously and with much more intelligence. Second, we have the portfolio agent, whose role is to protect and manage your assets. The third and final agent is a research agent who hunts the market, understands what's happening, finds new gems, and digs into market sentiment.
The agents work in concert with one another to provide a full suite of investment tools. The research agent is constantly analyzing 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 make their choices. 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 portfolio agent is to protect the assets under management from loss. All 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 used together, they provide a complete suite of investment tools for users to leverage and become faster, more informed, more profitable, and safer.
An AI is only as good as its training. If you learn to drive a race car from an airplane pilot, you will be a terrible driver.
Our AI's intelligence comes from several different sources. 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 armor's intelligence.
The more conversations you have with Armor, the better it 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 the 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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