📊 AlphaTrace: Quantitative Intelligence Research Workbench

AlphaTrace is a professional-grade quantitative intelligence platform designed for strategy research, market regime detection, and operational health monitoring. It transforms raw market data into structured, actionable research intelligence using a deterministic, interpretability-first architecture.

🚀 Architecture Overview

AlphaTrace follows a layered intelligence philosophy where quantitative rigor grounds AI reasoning.

graph TD
    subgraph Production Stack
        A[Market Data Layer] --> B[Technical Signal Engine]
        B --> C[Portfolio Signal Intelligence]
        C --> D[Regime Detection & Diagnostics]
        D --> E[Statistical Watchdog Engine]
        E --> F[AI Reasoning Context]
        F --> G[Interactive Research Dashboard]
    end

    subgraph Experimental Research
        H[RL Simulation Sandbox] --> I[PPO Training Workflow]
        I --> J[Comparative Evaluation Framework]
    end

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🛠️ Feature Map

• 🎯 Live Signal Intelligence: Surfacing actionable opportunities with causal reasoning across multi-asset portfolios.
• 🚨 Statistical Watchdog: Operational monitoring for Sharpe decay, structural shifts (KS-Test), and acute anomalies (Z-Score).
• 📈 Market Regime Awareness: HMM-based regime detection (Bull/Bear/Sideways) with persistence tracking.
• 🤖 Proactive Reasoning: A context-aware AI assistant grounded in pre-calculated quantitative fact.
• 🧪 RL Research Sandbox: Isolated environment for training and evaluating PPO agents against deterministic baselines.

⚖️ Research Philosophy

AlphaTrace is built on the principle of Deterministic Integrity:

• Interpretability > Prediction: Every output is mathematically traceable and explainable.
• Operational Intelligence: Focus on the "Now" and strategy health over speculative forecasting.
• No Black-Boxes: Strict separation between deterministic production logic and experimental RL research.
• Reproducibility: Identical market states always produce identical intelligence outputs.

🏁 Quickstart

pip install -r requirements.txt

# Launch the Research Dashboard
python3 run_dashboard.py

# Run the Quantitative Verification Suite
python3 run_verification.py

# Execute the RL Research Pipeline
python3 run_research.py

📋 Documentation Reference

• Quickstart Guide
• Demo Workflows
• Signals Schema
• Reasoning Architecture
• Watchdog Framework
• Portfolio Intelligence
• Research Methodology
• RL Research Sandbox
• Comparative RL Research

🛡️ Known Constraints

• No Execution Engine: AlphaTrace is a research infrastructure tool, not a trading bot.
• Simplified RL Environment: RL models operate on daily bars with simplified liquidity assumptions.
• Local Workflow: Optimized for local quantitative research, not distributed cloud deployment.

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AlphaTrace is a research infrastructure tool. Past performance is not indicative of future results.