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Data
Curated market microstructure data, fundamentals, alternative datasets, and proprietary derived features — all version-controlled and auditable end-to-end.
300+ datasets · Tick-level history
Systematic · Multi-Strategy · Est. 2018
Investing as a discipline, grounded in evidence.
Axiom Quantitative Investments is a multi-strategy systematic investment manager based in Jersey City. We focus on equity market-neutral, hedged equity, and ETF options strategies, with a research framework calibrated for capacity of approximately $1 billion — guided by rigorous research and disciplined risk management.
- Established
- 2018
- Capacity (approx.)
- $1B
- Headquarters
- Jersey City
Eight years of research
Equity, options & multi-strategy
10 Exchange Place, NJ
Strategies
A research platform with six interlocking programs.
Each program operates on its own signal set and risk budget. Together they form a multi-strategy portfolio engineered for low correlation to traditional benchmarks.
Equity Market-Neutral
Cross-sectional alpha strategies in liquid US equities, balanced to be largely insensitive to broad market direction.
Hedged Long/Short Equity
Fundamentally-informed long and short books with systematic factor and sector hedging overlays.
ETF Options Strategies
Volatility and tail-risk programs across major index and sector ETFs, expressed primarily through listed options.
Multi-Strategy Portfolio
Capital-allocation framework that dynamically blends our component strategies according to risk-adjusted signal strength.
Statistical Arbitrage
Short-horizon mean-reversion and event-driven dislocations, traded with strict risk and turnover constraints.
Risk-Parity Overlay
Volatility-budgeted overlays designed to dampen drawdowns and stabilize portfolio risk through changing regimes.
About
We build investment programs to be explained, not narrated.
Established in 2018, Axiom Quantitative Investments is a privately-held systematic investment firm. Every position we take is the output of a documented research process — sourced data, falsifiable hypotheses, tested in and out of sample, and deployed only after passing independent risk review.
We are intentionally a small organization. We do not pursue consultant mandates, do not market benchmark-hugging products, and do not deploy strategies whose underlying signal we cannot explain in a single sentence. The structural choice to remain small is what allows us to do real research rather than to manufacture investable narratives.
Research-led
A flat research organization where every strategy must justify its place in the portfolio against an evolving evidence base.
Risk-first
Independent risk oversight with hard limits on factor exposure, drawdown, leverage, and concentration.
Capacity-disciplined
Strategies are sized to the liquidity they trade. We close capacity before alpha decays.
Aligned with investors
Principal capital invested alongside client capital across all of our flagship programs.
Our Approach
Three pillars, one research process.
Every signal we trade goes through the same three stages. The discipline is what makes our programs reproducible and our risk intelligible.
02
Models
A research stack that blends classical statistical learning, modern machine learning, and explicit financial-economics priors. Every model carries a written hypothesis.
Falsifiable · Out-of-sample tested
03
Execution
Low-impact execution infrastructure with continuous transaction-cost analysis. Implementation is treated as part of the alpha, not as an afterthought.
TCA-driven · Smart-order routed
Insights
Selected research and market commentary.
Notes from the research team, intended for sophisticated readers. Full archive available to qualified investors on request.
Research noteOctober 2025
Sentiment Factors and Deep Sequence Models: What Survives Honest Evaluation
Combining low-signal-to-noise sentiment factors with high-capacity sequence models is a tempting research direction. We summarize what we have found does and does not survive realistic forward testing — and why the productive use of deep learning in this setting is narrower than the literature suggests.
Read noteResearch noteJuly 2025
On the Persistence of Cross-sectional Momentum in Single-stock Options
We examine whether implied-volatility momentum effects identified in the equity literature survive the higher transaction costs and capacity constraints of the listed single-stock options market.
Read noteMethodologyMarch 2025
Regime Detection without Overfitting: A Sober View
Most published regime-switching results fail in forward testing. We sketch a framework for evaluating regime models against the appropriate null hypothesis, and argue regimes are best used as a risk overlay rather than as an alpha source.
Read noteContact
For qualified investors and professional counterparties.
We respond to all serious inquiries from accredited investors, institutional allocators, and qualified service providers within two business days.
- Headquarters
- 10 Exchange Place
Jersey City, NJ 07302
United States - Inquiries
- Capital introduction, vendor proposals, and recruiting are all handled through the form on the right.
- Response time
- Two business days for serious inquiries.