FAQ

1 - What is Replicats?

Replicats is a no-code platform that lets anyone create and deploy their own AI trading agents. Think of it as your personal trading companion, combining advanced AI technology with the precision and agility of a cat.

The platform allows you to define your trading style, risk parameters, and strategy while the AI agent works 24/7 to execute trades based on your preferences.

2 - What makes Replicats different from other AI trading platforms?

Each agent uses sophisticated Graph Neural Network (GNN) technology to analyze market data, beyond simple trading bots or language models. You can either create your own agent or copy-trade existing ones, all without needing any coding knowledge.

3 - What is the difference between LLMs and GNNs for trading?

While Large Language Models (LLMs) are great at understanding text, they aren't ideal for trading because they process numbers like words, losing mathematical precision and speed.

Replicats uses Graph Neural Networks (GNNs), which are specifically designed to understand market relationships and patterns. They can process complex market data in its native mathematical form, analyze asset relationships, and make faster, more accurate trading decisions.

Simply put, LLMs are like using a translator for math problems—they work, but they're not the best tool. GNNs are purpose-built for the precise, numerical work of trading."

4 - Does Replicats has a platform token?

No, there is no Replicats platform token. Only the first AI agent (Replicat-One) will have its own token (redacted), launching on Base through Virtuals Protocol. There are no plans for a platform token at this time.

5 - What is Replicat-One? Why does it have a token?

Replicat-One is the first AI trading agent launching on the Replicats platform. It combines technical and fundamental analysis to track market opportunities while maintaining built-in risk management systems.

Its token (REDACTED) will launch on Base at a very low valuation. The token serves as an experiment to develop and test mechanisms from which future user-created agents can benefit.

Users will be able to copy-trade Replicat-One's moves while it executes its strategies with precision