Replicats
  • Website
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  • Foundation
    • Overview
      • The Current State of Crypto Trading
      • Why Agents Matter
      • The Replicats Approach
    • Platform Architecture
      • Agent Framework
      • Wallet System
      • Trading Engine
    • Business Model
    • Roadmap & Sprints
      • Sprints #1
      • Sprint #2
      • Sprint #3 [Current]
    • Team
    • First Agent: Replicat-One
      • About
      • Tokenomics
      • Contract Addresses
    • FAQ
    • We're hiring!
      • Data Engineer – Blockchain Data Specialist (Hired)
      • Blockchain Trading Engineer
  • Technical Foundations
    • Beyond LLMs
      • The Limits of Pure Language Models
      • Why Representation Learning Matters
      • Replicats' Hybrid Approach
    • Data Infrastructure
  • Creating Agents
    • Agent Building
    • Agent Management
  • Official Links
    • Important notice
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  1. Foundation

Roadmap & Sprints

"Go instead where there is no path and leave a trail". - Ralph Waldo Emerson

1

Q1 2025

In our first quarter, the team formed and we built the foundations of the Replicats Intelligence Framework.

  • Sign ups and wallets.

  • Deposits in EVM and Solana on Terminal.

  • Replicat-One Token launch.

  • First agent POC live.

  • Full-time team.

2

Q2 2025

Early users start benefiting from the power of Replicats Intelligence Framework by copying Replicat-one into their wallets; Framework becomes more reliable. The team explores additional assets and starts scaling.

  • Replicat-One Agent trading live. Users can make copy into their wallet.

  • Improve reliability as measure as downtime.

  • Complete legal setup.

  • Validate pricing.

  • Integrate 0g.

3

Q3 2025

Users will be able to trade additional assets and increase the customization of their agents.

  • Launch new agents, including

  • More assets (e.g. bCSPX(S&P500) and PAXG(Gold)), AI models and trading venues.

  • Test new features and revenue lines.

4

Q4 2025

We set up the framework to allow users to develop and share their own trading agents.

  • Develop and test Launchpad

  • More AI models and data sources

  • Enterprise customers

5

2026

Our users can choose agents from a rich marketplace of agents and assets.

PreviousBusiness ModelNextSprints #1

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