Self-Hosted · Full Control · Your Data

One-Person Hedge Fund
AI Redefining Quantitative Trading

Alphie gives everyone their own AI hedge fund team.
No coding required, drive quantitative research with natural language.
One Person. One Fund. Powered by AI.

64+ Alpha Factors
35+ Pro Tools
Extensibility
World's First

The First AI Agent with Recursive Self-Iterating Loop

Recursive Thinking Model

Autonomous evolution through self-directed learning cycles

💡 Hypothesize
Act
🔄 Reflect
👁️ Observe

Memory Routing

Memory as routable skills, not passive retrieval

  • Scenario-Based Routing Route to skill packs by context, not keyword search
  • Self-Organizing Skill Packs Experience auto-clusters into reusable decision frameworks
  • Emergent Growth New skills emerge, similar ones merge, stale ones fade

The Democratization of Quant Trading

Traditional hedge funds require millions in capital and professional teams. Alphie makes it accessible to everyone.

🏢

Traditional Hedge Fund

  • $500K+ Annual Labor Cost
  • 10+ People Professional Team Size
  • 6-12 Months Strategy Development Cycle
  • High Barrier Programming & Finance Background Required
VS
α

Alphie One-Person Fund

Recommended
  • Affordable Accessible Pricing
  • 1 Person AI Team Works for You
  • Minutes Just Describe in Natural Language
  • Zero Barrier No Coding, Chat to Research

Your Dedicated AI Team

Alphie comes with a complete AI hedge fund team, working 24/7 for you.

📊

Market Analyst

Track market dynamics in real-time, identify technical patterns and trend signals

📰

News Analyst

Monitor global financial news 24/7, extract market sentiment

📈

Fundamental Analyst

Deep dive into financial data, evaluate intrinsic company value

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Macro Economist

Analyze macroeconomic trends, policy impacts and global market correlations

🐂

Bull Researcher

Discover upside opportunities, build long thesis

🐻

Bear Researcher

Identify risk factors, find short opportunities

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Quant Strategist

Design quantitative models, develop alpha signals and factor strategies

⚙️

Algorithm Engineer

Build trading algorithms, optimize execution and reduce slippage

⏱️

Backtesting Engineer

Validate strategies with historical data, prevent overfitting

🛰️

Alt Data Analyst

Extract insights from satellite, social media and non-traditional data

⚖️

Risk Manager

Assess portfolio risk, optimize asset allocation

💹

Trader

Execute trading decisions, manage order flow

🧠

AI Research Hub

The Meta-Intelligence Behind Your Fund

🔬 Explore & freeze new strategies and factors
🤖 Dynamically create agents for new tasks
🧪 Autonomously initiate quant experiments
📊 Full lifecycle monitoring & evaluation

Why Choose Alphie

Infinite Extensibility

Any GitHub repository can become an Alphie tool. Import strategies, factor libraries, data APIs without writing a single line of code.

> Import github.com/example/momentum-factor
Added 12 momentum factors to library
💬

Natural Language Driven

Describe your research needs in any language, AI automatically calls tools, calculates factors, generates reports.

📚

Professional Factor Library

Built-in 64+ Alpha factors covering momentum, volatility, trend, volume-price and more.

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35+ Professional Tools

MCP data tools, Qlib quant tools, technical analysis tools, everything you need.

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Cross-Asset Coverage

Stocks, ETFs, futures, forex, crypto — unified analysis framework across all asset classes and global markets.

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Your Data, Your Control

Research stays local. No strategy uploads, no data sharing. You decide what connects and what doesn't.

Quant Research Like Chatting

Say goodbye to complex code and tedious processes. Accomplish everything with natural language.

Alphie Research Terminal
👤

Analyze Apple's recent performance and tell me if it's worth buying

α
Calling analysis team...
📊 Market Analyst 📰 News Analyst 📈 Fundamental Analyst

Based on multi-dimensional analysis:

  • Technical: RSI 45, neutral zone; MACD golden cross forming
  • Fundamental: PE 28.5, slightly above industry average; healthy cash flow
  • News: Positive new product launch expectations; supply chain recovery
Rating: Cautiously Bullish 📈
👤

Backtest using Turtle strategy for the past year

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🐢 Turtle Strategy 📊 Qlib Backtest

Turtle Strategy Backtest Results (2024.01 - 2025.01):

Annual Return +23.5%
Sharpe Ratio 1.82
Max Drawdown -12.3%

Modular Pluggable Design

Strategies are workflows, factors are skills, tools are capabilities. Everything is extensible.

Strategy Layer
Debate Strategy Turtle Strategy Permanent Portfolio + Custom
Factor Layer
Alpha158 Technical Indicators Momentum Factors + Custom
Tool Layer
MCP Tools Qlib Tools Data APIs + GitHub Import
Infrastructure
LangGraph ChromaDB SQLite LLM Backend

Start Your One-Person Fund Journey

Join the democratization revolution of quantitative trading. Let AI be your dedicated team.