Project Argent: Difference between revisions

=== Agent Architecture ===

The system is composed of several specialized agents working in concert:

'''Observation Agent''': A data-ingestion engine that continuously monitors the public APIs (EIA, FRED, etc.) and computes the real-time EEM Score and its derivatives (e.g., rate of change).

'''Prediction Agent''': A suite of machine learning models (initially LSTMs, later potentially Transformer-based) trained to find correlations between EEM score dynamics and future price movements (ΔP) in target assets.

'''Decision Agent''': A core logic engine, likely based on Reinforcement Learning or a sophisticated rules-based system. It takes inputs from the Prediction Agent and the current portfolio state, calculates the "virtuousness" of a potential trade, and issues a final decision (Buy, Sell, Hold, Short).

'''Action Agent''': An execution module that interfaces with broker APIs (e.g., Alpaca, Interactive Brokers). It is responsible for placing orders, managing positions, and enforcing strict risk management guardrails (e.g., stop-losses, position sizing).

'''Qualitative Agent (Future)''': An LLM-based agent designed to augment the quantitative signals by analyzing news, political events, and market sentiment, providing a layer of human-like intuition.

=== Deployment Roadmap ===

Project Argent follows a phased, professional methodology to mitigate risk and validate its strategies.

'''Phase 1: Backtesting''': All proposed trading strategies are rigorously backtested against years of historical EEM and market data to measure their theoretical performance (e.g., Sharpe ratio, max drawdown, ROI).

'''Phase 2: Paper Trading''': Successful strategies are deployed in a simulated environment using live market data but no real capital. This tests the real-world performance of the data pipelines and execution logic.

'''Phase 3: Guarded Pilot''': A small, fixed amount of real capital is allocated to a live trading account. The agent operates under extremely strict guardrails (e.g., max 1% of capital at risk per day) and is closely monitored.

'''Phase 4: Scaled Deployment''': As strategies are proven profitable and robust in the pilot phase, their capital allocation can be gradually increased.

The ultimate goal of Project Argent is to generate a sustainable source of surplus energy (profit) that can be reinvested into the AetherOS ecosystem, funding future research, hardware upgrades, and the continued growth of the digital commonwealth.

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