Sprints #1

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.

Sprint 1

Primary Goals of the v0 Prototype

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.
Demonstrate Replicat-ONE: A hard-coded strategy/agent that uses forecast data and on-chain metrics to make trading decisions.
Allow Copy-Trading: Users can “fork” Replicat-ONE in the dashboard, letting them replicate trades in their own embedded wallets.
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

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).
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.
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:
  - If a user has chosen to copy-trade Replicat-ONE, the same actions are triggered on the user’s embedded wallet.
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.

PreviousRoadmap & Sprints NextSprint #2

Last updated 5 days ago

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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.

Primary Goals of the v0 Prototype

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.

Demonstrate Replicat-ONE: A hard-coded strategy/agent that uses forecast data and on-chain metrics to make trading decisions.

Allow Copy-Trading: Users can “fork” Replicat-ONE in the dashboard, letting them replicate trades in their own embedded wallets.

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

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).

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.

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:
- If a user has chosen to copy-trade Replicat-ONE, the same actions are triggered on the user’s embedded wallet.

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.