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  • 2 - Spills for

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  1. Foundation
  2. Roadmap & Sprints

Sprint #2

PreviousSprints #1NextSprint #3 [Current]

Last updated 5 days ago

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Timeframe: Feb 2025 - March 2025


1 - Completed

1.2 - External Dashboard

  • Operational dashboard for internal and external use.

  • Onboarding of the first Early testers

1.2 - Dashboards & Monitoring

  • Develop External Dashboard (Replicat One) for early adopters.

  • Build a Data Pipeline Dashboard to monitor ingestion and ETL.

  • Implement a Monitoring System:

    • Alerts for CPU/memory thresholds.

    • Checks for the latest data ingested.

  • Expand Dashboard APIs (in coordination with the tech team).

1.3 - Agent Improvements

  • Improve Agent performance and reliability.

  • Refactor Agent execution logic by user (simplify if necessary).

  • Create staging environments for:

    • Agent

    • Replicats API

    • Data pipeline


1.4 - LLM Integration & Configurable Agents

  • Enable dynamic Agent configuration through LLM (RAG-based).

  • Allow users to schedule future configuration changes via LLM.

  • Add relevant RAG modules to support parameter customization and scheduling.


1.5 - Data & Signal Development

  • Start CoinGecko data ingestion.

  • Build an ETL pipeline to fill in missing or incorrect data.

  • Conduct Hurst exponent analysis (market regime shift detection).

  • Integrate Acolyte mindshare data for trading signals.

  • Define the liquid index using Dune data.

  • Use the CME volatility surface (PDF-based) for long signals.

  • Add Granger causality to feature selection and calibration pipeline.


1.6 - Documentation & Internal Enablement

  • Document models, architecture, and processes.

  • Continue internal knowledge transfer:

    • Code reviews

    • Foundations of Agent models and implementation


1.7 - Additional Features & Considerations

  • Implement a staking/gating mechanism for access control.

  • Add support for time-limited and freemium access models.


2 - Spills for Sprint #3 [Current]

  • Improving API’s performance

  • Data layer restructure for the application

  • System upgrade for Multiple Agent Deployment