DTF: Indexing the world through DeFAI
  • The Birth of $DTF
    • The Driving Purpose
    • Cross-Chain: Solana & Base
  • Indexing the World with DeFAI: Agent Franklin
    • Key Objectives
    • Why DeFAI Agent Franklin?
    • What Franklin Offers
  • Getting Started
    • Step 1: Accessing the Platform
    • Step 2: Exploring the Features
    • Step 3: Start Investing
  • Core Functionalities
    • Sentiment Analysis
    • Portfolio Optimization
    • Twitter Agent
    • Performance Reporter
    • Token-Gated AI Chat
    • Non-Custodial Approach
    • Future-Ready Features
  • Roadmap and Future Plans
    • Immediate Roadmap
  • Technical Overview
    • Portfolio Optimization Algorithms
    • Security and Non-Custodial Design
    • Developer Tooling and APIs
  • Explainer: Modern Portfolio Theory (MPT)
    • Historical Background
    • Key Concepts
    • Application in Franklin AI
    • Why MPT Matters
  • Frequently Asked Questions (FAQ)
    • General Questions
    • Features and Functionality
  • Terms and Conditions
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Explainer: Modern Portfolio Theory (MPT)

PreviousDeveloper Tooling and APIsNextHistorical Background

Last updated 4 months ago

Modern Portfolio Theory (MPT) is the backbone of DeFAI Agent Franklin's portfolio optimization approach.

Developed by economist Harry Markowitz in 1952, MPT revolutionized financial investing by introducing mathematical methods for risk-return optimization.

This explainer will provide historical background, fundamental concepts, and its application in Franklin AI.

Historical Background
Key Concepts
Application in Franklin AI
Why MPT Matters