> For the complete documentation index, see [llms.txt](https://docs.replicats.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.replicats.ai/introduction/roadmap/sprint-1.md).

# Sprint #1

**Timeframe**: Jan-Feb 2025

Please check the [End of Sprint #1](https://paragraph.com/@replicatsai/end-of-sprint-1) blog post for a more in-depth reading.

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## Product Overview & Vision

**Replicats** is an AI-driven trading framework that goes beyond typical “Crypto AI Agents” by combining:

* **Predictive Analytics**: Using time-series models for price forecasting with quantiles.
* **Workflow Orchestration**: Trigger-based execution of agents (e.g., scheduled checks, on-chain data events).
* **Embedded Wallets**: Automated (or user-approved) buy/sell transactions on both **EVM** and **Solana** networks.
* **Copy-Trading**: Users can “fork” or copy-trade an existing Agent (e.g., “Replicat-ONE”) and view PNL in a dashboard. **\[Deprecated ❌]**

## Sprint 1

## Primary Goals of the v0 Prototype

1. **Implement a Trigger and workflow System: This is distinct** from the web dashboard. It enables Agent logic to fire automatically when certain conditions are met.
2. **Demonstrate Replicat-ONE**: A hard-coded strategy/Agent that uses forecast data and on-chain metrics to make trading decisions.
3. **Allow Copy-Trading**: Users can “fork” Replicat-ONE in the dashboard, letting them replicate trades in their own embedded wallets. \[Deprecated ❌]
4. **Show Trading History & PNL**: Provide a simple interface to view the original agent’s and the user’s forked agent’s transactions and performance.

## Key Components

1. **Data Ingestion & Database**
   * Regularly fetch raw market data from Data sources.
   * Store the data in a database.
   * Provide a **Pub/Sub or event** indicating data changes so agents can react (if relevant).
2. **Forecasting Module**
   * A separate service (likely containerized in Python) that runs **our models** every X minutes (e.g., hourly).
   * Reads the latest price data from the database, generates forecasts (median, 5–95% quantiles), and writes them back to a “forecasts” table.
   * Emits an event/message when new forecasts are available.
3. **Agent Execution Service (Workflows & Triggers)**
   * **Core**: A job or microservice that runs continuously, listening for triggers (changes in DB, new forecasts, scheduled intervals).
   * **Workflow Logic**:
     1. **Define triggers** (e.g., “If new coin on Solana has < $1M market cap but > 500 holders,” or “Run this Dune query every 15 min,” or “When forecast probability of 5× > 20%”).
     2. **Execute Agent logic** upon triggers (buy, sell, or more complex workflows).
   * **Replicat-ONE**: A special Agent (hard-coded) that trades based on the forecasting data.
   * **Copy-Trading**: **\[Deprecated ❌]**
     * If a user has chosen to copy-trade Replicat-ONE, the same actions are triggered on the user’s embedded wallet.
4. **Dashboard (Next.js + tRPC)**
   * **Authentication & Wallet Management**: Uses wallet infrastructure to create 2 embedded wallets (EVM & Solana). Users can also fund/withdraw.
   * **“Fork” or Copy-Trading UI**: A toggle/button to replicate Replicat-ONE.
   * **Transaction & PNL View**:
     * Show Replicat-ONE’s trade history and performance (PNL).
     * Show the user’s forked-agent transactions and PNL.
   * **Minimal Agent Customization (Future)**: For v0, we only allow forking Replicat-ONE. Later, we can allow custom triggers and logic.