FranklinX
  • Franklin X: The BlackRock On-Chain
    • The Driving Purpose
  • Crypto AI Agent: Franklin X
    • Key Objectives
    • Why Crypto AI Agent Franklin X?
    • What Franklin X Offers
  • Getting Started
    • Step 1: Accessing the Platform
    • Step 2: Exploring the Features
  • Core Functionalities
    • Sentiment Analysis
    • Portfolio Optimization
    • Twitter Agent
    • Performance Reporter
    • 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
Powered by GitBook
On this page

Explainer: Modern Portfolio Theory (MPT)

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 BackgroundKey ConceptsApplication in Franklin AIWhy MPT Matters

PreviousDeveloper Tooling and APIsNextHistorical Background