Alfa Que - Autonomous Trading Intelligence

Subject: Field Testing the Autonomous System (Crypto Trading Agent)

This research is designed to test the autonomous system I am developing in a real-world environment.

Most of the AI products surrounding us today operate in a Chat configuration or a "short loop": the user asks a question, and the system answers or performs a short sequence of actions. In this model, the user remains the "driver," constantly in the loop, and the cumulative result depends on their availability and input. While this is excellent for specific tasks, it is not scalable for managing complex systems over time.

The Vision: From Tool to Agent

The goal of this intelligence system is fundamentally different: shifting from a "tool" to true Agentic Work.

The system is designed to:

• Ingest the user's wisdom and strategy
• Execute autonomously as an extension of their specific thought process
• Operate in the market even when they are not present

The Challenge: Long Horizon Trading

The study presented here evaluates the system's capacity to trade six cryptocurrencies simultaneously, where the true test is the Long Horizon.

Why It Matters

In crypto trading, the challenge isn't executing a single successful trade ("a coin toss"), but:

• Dynamically managing a portfolio over time
• Reacting to volatility
• Maintaining strategic coherence without drifting or eroding capital

My Objective

To demonstrate how a cumulative sequence of actions—taken without a human in the daily loop—generates consistent ROI, with the agent functioning as a precise execution of the defining user's decision-making process.

Markets: The Ultimate Test of Intelligence

Markets are perfect for benchmarking AI because they are:

• Dynamic - constantly changing conditions
• Adversarial - competing against other intelligent actors
• Open-ended - infinite possible strategies and outcomes
• Unpredictable - challenging AI in ways static benchmarks cannot

This makes markets the ultimate proving ground for autonomous intelligence systems.

Testing intelligence in the wild, one trade at a time.