42 Capital Management LLC

Investment products
powered by the world's largest independent signal library

Three distinct strategies — relative return, absolute return, and fully customizable mandates — all driven by 500,000+ Bayesian event-driven factors updated in real time.

Investment Strategies
Relative Return

QQQ+ Long Only

A long-only equity strategy benchmarked to the Nasdaq 100 (QQQ). The 42 Signal Library identifies high-conviction opportunities within the QQQ universe, overweighting names where event-driven signals indicate persistent outperformance potential.

QQQ benchmark

Relative Return
Absolute Return

Discretionary Quant Macro

An objective-based equity hedge fund strategy benchmarked to a synthetic equity index. Quantamental first, discretionary focused — combining Bayesian RL on events and factors with state-of-the-art LLMs. Long/short with cross-asset signal coverage.

25–45% net

Target Annualized

2–3x

Sharpe Ratio
Customizable

Bespoke Portfolio Instances

Any benchmark — synthetic or standard. Define your objective function (return target, time horizon, constraints) and the 42 Signal Library spins up a dedicated, live portfolio instance engineered to achieve it. No capacity constraints.

objectives

No Capacity Limit

Powered by the 42 Signal Library — the largest independently owned financial markets signal library and repository of trading data

500K+

Factors

100M+

Events in Graph

1B+

Entities

6+1

Data Feeds
How It Works
1

Define Objective

Client sets return target, time horizon, and constraints. "Beat SPY by 1% over 1 year, max 5% per position."

2

Calibrate Signals

The 42 Signal Library calibrates patterns and signals relevant to the objective. Each portfolio sees the market through its own lens.

3

Construct Portfolio

LLM + Signal Library work together. Positions are established where the system has high Degree of Belief in achieving the objective.

4

Adapt Continuously

Bayesian feedback loops update beliefs in real time. The portfolio evolves as new events and data reshape the probability landscape.

The 42 Signal Library

Three theories.
One unified framework.

The intellectual foundation behind everything we build

Theory I

Alpha is an illusion

Mathematically absolute uncorrelated alpha is a theoretical impossibility. Every return stream carries embedded exposure to systematic macro forces.

Theory II

Alpha is correlation

All practical outperformance is the result of a portfolio being successfully correlated to one of four drivers: the Benchmark, its Contextual Inverse, Real Rates, or Inflation — at the right time.

Theory III

Events replace factors

The increasing velocity of information is eroding traditional slow-moving style factors. A new paradigm centered on high-frequency, event-driven patterns and signals is emerging.

The Four Horsemen of Macro Risk

Every return decomposes into four forces

I
Context-Dependent

The Chosen Market

The benchmark you play against. Not a fixed index — whatever return stream you seek to outperform.

II
Context-Dependent

The Contextual Inverse

The natural hedge. For the S&P 500, it's the VIX. For bonds in rising rates, it's cash. This is where alpha lives.

III
Universal

Real Risk-Free Rate

The inflation-adjusted price of time. A pervasive force governing all Market/Inverse pairs by setting discount rates.

IV
Universal

Inflation

The universal tax on nominal returns. Sets the real hurdle rate for any strategy.

Signal Architecture

From raw data
to active signal

A five-stage pipeline that ingests millions of data points daily and distills them into high-conviction, belief-scored trading signals.

The Signal Pipeline
Stage 01

Raw Information

100% volume

News, filings, earnings, order books, social feeds, CDS prices. The full universe of unstructured information.

Stage 02

Event Data

~40% remaining

Structured, validated market events. Statistically significant associations between information and price movements.

Stage 03

Patterns

~10% remaining

Recurring market behaviors clustered from events. Historical context is built for each repeatable cause-and-effect.

Stage 04

Signal Library

~1% remaining

500K+ scored signals with belief values, time lags, magnitudes. The institutional memory of the system.

Stage 05

Active Signal

<1% final

Triggered, ranked, context-aware. Only high-belief signals for the specific objective are activated.

Noise Reduction Across the Pipeline

6 + 1 Data Feeds

The objective function is the +1 — the human-defined lens through which all data is interpreted.

§

Fundamental

10-Ks, 10-Qs, earnings transcripts, analyst estimates, balance sheets, income statements.

Price

Order book depth, bid-ask spreads, L2 quotes, tick data. The microstructure of information becoming price.

Social

Public news sources, Internet Archive, newswires, social media. The sentiment layer.

Credit

CDS price feeds and keywords in filings. Early warning system for financial stress.

Quantamental

PE, PEG, PS and 100+ ratios. RSI, momentum, Fibonacci. Bridging value and signal.

+1

Objective Function

The human-designated goal. This is what separates 42 from every other system.

Degree of Belief

Every signal carries a score from -1 to +1. This Bayesian conviction metric represents accumulated experience with a pattern in a specific market context. The system maintains persistent beliefs while remaining open to paradigm shifts when evidence accumulates.

Belief Score Spectrum
-1.0 Strong Sell
+1.0 Strong Buy
signal: eps_nvda_soxx_gld
degbel: +0.72

"NVIDIA has beaten earnings. SOXX has rallied vs GLD over the next 3 months by 10% each time. Increase exposure to SOXX by 5%."
Competitive Landscape

Why 42 is different

Traditional quants, factor funds, and passive products each solve a piece. 42's architecture addresses what they cannot.

Head-to-Head

Passive Index
Factor Fund
Rule-Based Quant
42 Capital
Signal Depth
10%
30%
50%
95%
Adaptability
5%
25%
40%
90%
Explainability
90%
50%
15%
85%
Personalization
0%
5%
15%
100%
Capacity
100%
45%
30%
95%
Data Breadth
8%
35%
55%
92%
Regime Awareness
0%
20%
35%
88%

The old guard is decaying

Traditional academic factors have seen diminishing returns post-publication. As more capital chases the same signals, the edge erodes.

Value (HML)

Decaying

Returns compressed since publication. Subject to value traps and regime sensitivity.

Momentum (UMD)

Crowded

Sensitive to crashes and reversals. Behavioral edge dissipates as capital exploits it.

Size (SMB)

Limited

Premium inconsistent across periods and geographies. Liquidity constraints limit use.

Where the edge lies

Event-driven, not cross-sectional

Factors triggered by specific experiences — FDA approvals, canal droughts, earnings surprises. Temporary dislocations, not permanent premia.

Objective-calibrated

Every portfolio calibrated to a unique objective. Same library, different outputs for different mandates.

Cross-asset pattern recognition

Relationships across asset classes — Panama Canal water levels predicting LPG shipping stocks.

Bayesian memory + regime awareness

Persistent beliefs that evolve. The system knows when a regime has shifted and adapts signal weights.

Three-Layer Return Framework
Layer 1 — Foundation
Universal Environmental Factors

Real risk-free rate & inflation. The irreducible macro backdrop.

Layer 2 — Strategy
Chosen Market & Contextual Inverse

The benchmark game and its natural hedge.

Layer 3 — Edge
Event-Driven Alpha

Transient patterns from the 42 Signal Library. The source of outperformance.

Research

Research & Writing

Architecture

From Data to Signal: The Five-Stage Pipeline

How 42 Capital reduces 100% of raw information to less than 1% high-conviction signals.

Coming Soon
Investment Theory

Why Factor Funds are Losing Their Edge

The factor zoo is collapsing. Data mining, crowding, and shrinking half-lives.

Coming Soon
Product

Building Customized Portfolio Instances

How an objective function becomes a live, bespoke financial organism.

Coming Soon
Case Study

TLT42: AI-Managed Treasury Index

How 42 Indices recalibrates bond exposure using VIX, CPI, and FOMC analysis.

Coming Soon
Investor Relations

Investor Relations

General Inquiries

For questions about 42 Capital Management, the signal library, or partnership opportunities.

info@42capital.com

Leadership

Shaunak Khire
Founder & CIO
Former Managing Director / PM, Lazard Asset Management
Founder, EmmaAI & 42AI

Investor Access

42 Capital Management is not a registered investment advisor and does not manage outside capital at this time. This site is not an offer for solicitation of capital.

Status

Q1 2026 — Expected Launch
Long-only relative return (QQQ) & absolute return (synthetic equity index)
Target: 25–45% annualized net, 2–3x Sharpe

Key Documents

Partner Deck

42 Capital Management — Q4 2025

Firm overview, signal library, investment process, strategies, performance.

Research

The Paradox of Alpha

Four Horsemen of Macro Risk and Event Factors: A Unified Framework.

Product

Building Portfolio Instances

Objective functions, alpha engine, customized portfolio construction.