The Global Fund Universe — Interactive Hierarchy (5 Macro Pillars → 12 Subgroups → 27 Fund Strategies)
Hover over any node to preview its return engine, or click any fund on the right to jump directly into its concrete Trade Anatomy, Rough.js diagram, and Talent Profile.
Hover over or click any node in the tree below
Click any of the 27 leaf nodes on the far right to inspect its step-by-step Trade Case, custom Rough.js illustration, and team radar.
Capital-to-Alpha Value Chain (Animated Pipeline)
How the Fund Generates Returns in the Market (Alpha, Beta & Execution)
Visual Return & Structural Archetype (Rough.js Hand-Drawn Sketch)
1 of 27 Custom DiagramsCompetency & Talent Fingerprint (Chart.js Radar)
0–100 CriticalityWho Works Here — & Which Hire Is the #1 Priority?
Financial Plumbing: Prime Brokerage Margin, Repo Financing, Derivatives & Non-Recourse Debt
How different funds finance leverage — and why a Relative Value Treasury fund can safely run 25x Repo leverage while a Private Equity or CLO fund locks in multi-year debt with zero daily mark-to-market margin calls.
Gross Exposure (Leverage) vs. Net Directional Exposure Across All 27 Fund Types
Notice how Relative Value, HFT, StatArb, Dispersion, and Pod Shops carry massive Gross Exposure (300%–2500%) while keeping Net Market Exposure near 0%.
How Wall Street Giants Actually Deploy AI Today (Jane Street, J.P. Morgan, Citadel, Bridgewater, Man Group & EQT)
Why an HFT firm like Jane Street cannot run a slow 70B LLM in its 80-nanosecond trading loop (and instead distills GPU-trained models onto silicon FPGAs), while J.P. Morgan uses Deep Reinforcement Learning (LOXM) to slice equity blocks, Citadel builds sandboxed AI Agent Clones, and EQT uses Motherbrain to find private buyouts before bankers call.
AI Decision Autonomy (%) vs. Data Volume Intensity Across Strategy Tiers
Compare fully autonomous signal-to-execution loops in HFT/StatArb against human-in-the-loop AI copilots in Fundamental L/S and Private Equity.
The Latency vs. Model-Size Law (Why Speed Dictates AI Architecture)
4 Organizational Blueprints: How Different Fund Types Structure Their Teams
Click the 4 organizational models to compare how a flat Quant/HFT lab differs from a Multi-Strategy Pod Shop, a Fundamental L/S Partnership, and a Private Equity Deal Matrix.
The 5 Compensation & Bonus Models — How Portfolio Managers, Quants & Partners Get Paid
Why a Pod Shop PM is paid a strict formulaic cut of annual P&L ("Eat-What-You-Kill"), an HFT engineer shares a central codebase pool, and a Private Equity partner waits 6 years for Carried Interest.
Workforce Composition by Role (% Quants vs. Engineers vs. Fundamental vs. Legal/Ops)
Compare the 85%+ Quant/Engineering makeup of HFT & StatArb against the Fundamental & Legal focus of L/S and Private Equity.
Scalability Benchmark: AUM per Employee ($M) vs. Staff Needed per $10B AUM
Index funds manage $850M+ per employee with minimal headcount, whereas Pod Shops and HFT firms require 300–450+ specialists per $10B.
A Day on the Desk: Hour-by-Hour Comparison (06:30 to 19:30 EST) Across 4 Fund Archetypes
6 Core Specialist Roles — Background, Daily Mission & How Funds Test Candidates
Why one fund pays top dollar for an IMO math medalist or FPGA chip architect, while another hires former DOJ antitrust trial attorneys or Fortune 500 CEOs.
Complete Strategy Matrix — Sort, Filter & Compare All 27 Fund Strategies
Click any column header to sort by Gross Leverage, Net Exposure, or Quant/Fundamental intensity — or click any fund name to open its Deep-Dive.
The 1-Person Autonomous AI Hedge Fund — Exploiting Micro-Cap & Illiquid Markets
The Structural Capacity Edge: Where Institutional Giants Are Locked Out
Compare Institutional Quant/Pod Competition (%) against Unexploited Informational Alpha (%) and Your Solo AI Edge (%) across market-cap tiers.
Autonomous 7-Agent Pod Loop (Rough.js System Blueprint)
You = IC SupervisorHow raw local-language PDF filings on NewsWeb / MFN flow through your Scraper, Forensic Bear, Catalyst Bull, and Python Quant before landing on your desk as a ready-to-approve Trade Ticket.
Inside Your Autonomous Team: Role-by-Role Breakdown of the 1-Human + 6-Agent Pod
Instead of one generic chatbot that hallucinates numbers, each agent has a narrow mandate, strict tool permissions, and adversarial checks.
5 High-Alpha Strategies Built Specifically for Euronext Growth, First North & Micro-Caps
How to extract alpha where daily trading volume is $10k–$200k and institutional quants cannot participate.
The $50–$250/Month Solo AI Hedge Fund Tech Stack (vs. Wall Street's $50M Overhead)
4 Non-Negotiable Golden Rules for an Autonomous Micro-Cap Pod
Compressing 3 Years of Market Validation into 1 Weekend: The Historical Time-Machine & $0 → $20k Roadmap
In the age of AI-assisted coding, the bottleneck is NOT waiting 6 months for slow paper trades — it is how fast you code, replay 500 historical catalysts through an Anonymized Time-Machine Backtester, let a Meta-Agent evolve the prompts, and deploy $2,500 to $20,000 of live capital within weeks.
Small-Account Math: Net Cost Efficiency (%) vs. Round-Trip Broker Fee Drag (%)
Why a $2,500–$20,000 account must hold 3 to 8 concentrated positions ($800–$2,500 per stock) so minimum broker fees ($2.70 / 29 NOK) drop below 0.25%.
How to Keep API Costs Under $100/Month (Rough.js Two-Tier Funnel)
~$3.50 / Day TotalUse a $0.001 fast model (DeepSeek / GPT-4o-mini / Local Ollama) to filter 100 daily NewsWeb filings, waking up expensive Claude/o3 Debate Agents only on the top 2–3 catalysts.
The 6-Sprint Execution Plan: Code with AI, Replay 500 Historical Filings, Auto-Evolve Prompts & Go Live
Exact Line-by-Line Monthly Cost to Run Your 7-Agent Fund
3 Rules So Historical LLM Backtests Don't 'Cheat' with Future Memory
Interactive 2D Animated AI Agent Office & Supervisor 'Tip Injection' Boardroom
Watch your 6 AI Agents move between rooms in real time — or inject a Macro Tip (e.g., Hurricane approaching Norway & Denmark) to convene an emergency Boardroom session.
Live Autonomous Fund Floorplan (Agents Move Dynamically by Task)
Watch agents physically walk from their home desks into Room 4: The Boardroom when a Tip or Catalyst fires.
24/7 Nordic Filings, Options & Macro Tip Receiver
10k Pathwise Sim, Binomial Trees, LASSO, SVM, RF & PCA
Cash Runway, Reinsurance Retention & Governance Check
JEV Decision Engine, Fractional Kelly & Passive Limit Ladders
Agents gather here to debate Supervisor Tips & Catalysts
Inject Macro Tips & Approve 1-Click Board Resolutions
Financial Data Science, Machine Learning & Quantitative Valuation Knowledge Vault
Complete textbook reference for Supervised Learning (LASSO, SVM, KNN, CART, Random Forest), Unsupervised Learning (PCA Eigenvectors/Eigenvalues, K-Means, Agglomerative/Divisive Hierarchical Clustering), Deep Neural Nets, Reinforcement Learning, Bias-Variance-Base Error & K-Fold CV, and Quantitative Valuation (Monte Carlo, Pathwise Valuations, Binomial Trees, Multiple Regression).
1. Overfitting & Error Decomposition: Bias vs. Variance vs. K-Fold Sweet Spot
Rough.js VisualWhy adding too many features drives In-Sample Error down while Variance Error explodes out-of-sample — and how Penalized Regression (LASSO) & K-Fold CV lock in the optimal complexity.
2. Binomial Option/Rate Lattice & Binary CART Decision Tree
Rough.js VisualLeft: Recombining Binomial Tree ($u/d$ nodes for options & interest rates). Right: Binary CART splitting root node into decision and terminal leaf classifications.
Visualizing the Inner Life of Funds: 3D Walking Perspectives, Eavesdropping & Kinetic Flows
These are 4 rudimentary concept drawings demonstrating how we can bring funds to life: stepping into a 3D perspective office, tapping into desks to hear live conversations, watching capital flow through pipes with real-time sliders, and magnifying microsecond order books.
360° Photorealistic Office Walkthrough — Click Real People to Eavesdrop
Drag mouse to look 360° in every direction • Scroll wheel to zoom in/out • Click any person to listen to their dialogue.
Execution Trader
Senior Equities Trader"Goldman desk? Yeah, listen..."
High-rise Manhattan trading floor with active traders, Bloomberg multi-monitor rigs, squawk boxes, and floor-to-ceiling glass.
Perspective vanishing point leads toward Manhattan skyline floor-to-ceiling glass.
Desk Eavesdropping — "Radio In" & Audio Intercom
Click any desk on the floor to listen into their conversations (voiced via browser speech synthesis).
Execution Desk — The Trading Pit
Order Book Microscope
Level-2 DOM ladder showing inside spread capture.
Kinetic Capital & Trade Flow Machine (Interactive Scenario Engine)
Instead of static text, watch capital and order packets circulate through the plumbing with interactive sliders.