Build Multi-Agent Trading Intelligence Platform

Senior AI Systems Architect / Multi-Agent AI Developer — Financial Market Intelligence Platform

Project: IMMORTALES AI TRADING SYSTEM
Project Type: Long-Term Development / Milestone-Based Contract
Experience Level: Expert
Budget: Open to competitive, itemized proposals

Project Overview

We are seeking an experienced AI Systems Architect or Senior AI Developer to lead the design, development, integration, testing, and deployment of an advanced multi-agent financial market intelligence platform.

Our goal is to build a system where multiple specialized AI agents collaborate under a central AI director, share a common knowledge and memory system, continuously research financial markets, and assist with trading analysis and decision-making.

The system will initially operate as a market intelligence and manual trading support platform, with the architecture prepared for future semi-automated and fully automated trading.

We are looking for someone who can manage the complete technical development process, from initial architecture to final installation on a Windows computer.

Core Project Requirements

1. Multi-Agent AI Architecture

Develop a coordinated AI system with:

* A central conversational AI assistant.
* Multiple specialized AI agents.
* Shared long-term knowledge and memory.
* Cross-agent communication and collaboration.
* Continuous data collection and research.
* Persistent storage of historical information.
* AI-assisted analysis and improvement proposals.
* Secure agent orchestration and task management.

All agents must be capable of accessing and understanding the shared knowledge base, regardless of their primary specialization.

2. Financial Market Intelligence

Integrate real-time and historical market analysis covering:

* Nasdaq futures (NQ/MNQ).
* Major US stocks and ETFs.
* Magnificent Seven technology companies.
* QQQ and SPY.
* VIX and VXN.
* Market correlations and divergences.
* Technical indicators and market structure.
* Multiple timeframes, including Weekly, Daily, 4H, 1H, and intraday charts.

3. Financial News Intelligence

Develop a dedicated AI agent responsible for monitoring and researching:

* Financial and economic news.
* Federal Reserve announcements.
* Economic calendar events.
* Inflation and employment reports.
* Corporate earnings.
* Breaking market news.
* Geopolitical developments.

This agent must share its findings with the other agents through the central memory system.

4. AI Voice Assistant

We want a conversational AI assistant that allows the user to:

* Speak naturally with the system.
* Request daily market briefings.
* Ask questions about financial markets.
* Receive spoken news and trading analysis.
* Review the activities and findings of individual agents.
* Request historical research and performance summaries.

5. Trading Analysis Systems

The platform will eventually include two specialized trading analysis modules:

* Nasdaq NQ/MNQ intraday trading.
* US stock day trading and swing trading.

The initial focus will be market analysis, signal generation, manual execution support, backtesting, and paper trading.

Automated execution will be considered in a later development phase after testing and validation.

6. Shared Knowledge and Continuous Learning

We want a centralized knowledge system where agents can:

* Store research and historical market information.
* Review previous trading signals and outcomes.
* Share discoveries across departments.
* Identify potential improvements.
* Evaluate strategies using historical evidence.
* Retain information between sessions.

Any changes to active trading strategies must be validated and approved before deployment.

7. Windows Installation and Deployment

The completed system must be installed and configured for use on our Windows workstation.

We require:

* A functional dashboard.
* User-friendly controls.
* Complete source code.
* Technical documentation.
* Installation instructions.
* Training and handover.
* Optional cloud/server integration for continuous monitoring.

Preferred Technical Experience

We are particularly interested in developers experienced with:

* Claude AI / Anthropic APIs.
* Multi-agent AI frameworks.
* Python.
* LLM orchestration and tool integration.
* AI memory systems and databases.
* Financial market data APIs.
* Real-time data processing.
* NinjaTrader 8 / NinjaScript.
* Trading platforms and broker APIs.
* Voice AI integration.
* Windows application deployment.

Experience with algorithmic trading systems is highly desirable.

Development Approach

We prefer a phased, milestone-based development process.

The first milestone should focus on delivering a functional AI Command Center with multiple collaborating agents, shared memory, financial market data integration, and voice interaction.

Additional trading intelligence and automation features will be developed in subsequent phases.

What We Expect From Applicants

Please provide:

1. Your experience developing multi-agent AI systems.
2. Examples or demonstrations of similar projects.
3. Your recommended technical architecture.
4. Your experience integrating financial market data.
5. Whether you can manage the project from start to finish.
6. Your estimated development timeline.
7. Your proposed milestone structure.
8. Your estimated cost for the initial functional system.
9. Your estimated cost for subsequent development phases.
10. Confirmation that full source code, documentation, and ownership will be transferred upon completion.

We are looking for a reliable, experienced professional interested in building a long-term, scalable AI platform.

A detailed technical specification document will be available to shortlisted candidates.

Please begin your proposal with the words “IMMORTALES AI ARCHITECT” so we know you have reviewed the project requirements.

We look forward to reviewing your experience and discussing the project.