PMPT Pioneers: Markowitz, Sharpe, Black, Sortino
Standing on the Shoulders of Giants

Astrafolio PMPT

An institutional-grade portfolio management and quantitative research operating system engineered for downside risk minimization.

Command Center Access

Astrafolio Command Center
1. Philosophy & Objective

Risk Minimization Over Market Alpha

Astrafolio is not a speculative trading bot. Built upon the principles of Post-Modern Portfolio Theory (PMPT), the system strictly penalizes downside deviation and tail risk (CVaR). Our primary focus is capital preservation during severe market shocks while maintaining optimal rebalancing efficiency.

Portfolio Monitoring
2. Core Capabilities

Quantitative Research & Portfolio Analytics

Quant Engine Integration

Utilizes Microsoft Qlib and PyPortfolioOpt for AI factor scoring, Black-Litterman optimization, and HRPOpt asset allocation.

Hybrid Data Pipeline

Combines Bitget Spot API for recent RWA/Crypto data and Yahoo Finance for multi-year historical backtesting.

MST Network Topology

Extracts Minimum Spanning Trees from downside correlation matrices to verify structural diversification.

AlphaLens Factor Screener
AlphaLens Factor Screener
3. Strategic Roadmap

Upcoming System Enhancements

Multi-User & Multi-Tenant Management

Isolated workspace management, individual tenant authentication, and personal API key encryption for multiple portfolio managers.

Phase 1

Live Automated Rebalancing Execution

Direct order routing via broker APIs (Bitget Stock+) to execute fractional share rebalancing based on calculated target weights.

Phase 2

Autonomous LLM Agent Integration

Generative AI agents for real-time macro sentiment interpretation, dynamic parameter adjustments, and automated FactSheet generation.

Phase 3