Global Systematic Hedge Fund · Est. 2025

Where Ancient
Empire Meets
Algorithm.

Mandé Quant Capital is a global systematic hedge fund generating uncorrelated alpha through rigorous quantitative strategies across liquid financial markets. Built on data science, disciplined risk control, and the intellectual legacy of the Mali Empire.

mqc_system.py — running
$ ## MANDÉ QUANT CAPITAL // FIRM PROFILE
fund_type  =  "Systematic Hedge Fund"
structure  =  "Limited Partnership (LP)"
universe  =  "Global Liquid Markets"
approach  =  "100% Algorithmic"
strategies  =  [
"Momentum",
"StatArb",
"Multi-Factor"
]
alpha_source  =  "Uncorrelated"
heritage  =  "Mali Empire · Mandingue"
System running...
Momentum +Σ(r_t) StatArb cointegration β Sharpe Ratio target: 1.5+ Max Drawdown controlled Multi-Factor α Σ(w_i · f_i) Volatility Target σ = 12% Risk Parity 1/σ_i weighting Regime Detection HMM · active Momentum +Σ(r_t) StatArb cointegration β Sharpe Ratio target: 1.5+ Max Drawdown controlled Multi-Factor α Σ(w_i · f_i) Volatility Target σ = 12% Risk Parity 1/σ_i weighting Regime Detection HMM · active
Who We Are

A New Standard in Systematic Investing

Mandé Quant Capital, LP is a global, systematic hedge fund focused on generating uncorrelated alpha through quantitative strategies across liquid financial markets.

We are built on the belief that disciplined quantitative processes, combined with rigorous risk control and modern data science, can deliver consistent returns across all market regimes — independent of geography, legacy constraints, or discretionary narrative.

Every position we take, every risk we assume, and every portfolio decision we make is generated by a systematic algorithm — tested, validated, and governed by strict risk parameters. There is no guesswork. There is no narrative. There is only data, discipline, and execution.

// investment_philosophy

01
Rules-Based Decision Making

Every trade is generated by a systematic algorithm with no discretionary override or emotional bias.

02
Rigorous Risk Control

Risk management is not a constraint — it is a core alpha driver. Drawdown limits, volatility targets, and correlation budgets are enforced at portfolio level.

03
Data Science at the Core

We leverage modern statistical models, machine learning, and alternative data to continuously refine signal generation.

04
Regime Independence

Our strategies are designed to perform across bull, bear, and sideways markets through adaptive positioning and dynamic allocation.

Approach
100%
Fully Systematic
Core Strategies
3+
Uncorrelated Alpha Sources
Market Universe
GLBal
Liquid Global Markets
Structure
LPfund
Limited Partnership
Core Strategies

How We Generate Alpha

Our approach combines multiple uncorrelated systematic strategies across global liquid markets, designed to deliver consistent risk-adjusted returns across all market regimes.

↑μ Σ(r_t)

Cross-Sectional Momentum

A systematic strategy that ranks and selects assets based on relative price momentum across a diversified universe. We exploit the persistent empirical tendency of recent winners to continue outperforming over medium-term horizons, with dynamic volatility scaling and transaction cost controls.

Equities Futures Cross-Asset Monthly Rebal Vol-Scaled
⇄β coint(x,y)

Statistical Arbitrage

Identifies and exploits transient mispricings between statistically cointegrated instruments using pairs trading, mean-reversion signals, and spread z-score frameworks. Targets near-zero beta to the broad market, generating pure relative-value alpha.

Pairs Trading Cointegration Market Neutral Z-Score Mean Reversion
View Backtest Results →
Σα f(V,Q,M,L)

Multi-Factor Alpha

Combines Value, Quality, Low-Volatility, and Momentum factor signals into a composite scoring model. Portfolio construction incorporates factor exposure constraints, risk parity weighting, and neutralization of unintended sector and country biases.

Value Quality Low Vol Risk Parity Factor Neutral
MQC
The Founder
Founder & Portfolio Manager
Firm
Mandé Quant Capital, LP
Focus
Quantitative Finance
Experience
Global Financial Institutions
Approach
Systematic · Data-Driven
The Founder

Institutional Rigour.
Independent Vision.

The Founder has spent his career at the intersection of quantitative finance and institutional investment management. His professional experience spans senior roles in global financial institutions, leading complex analytical, risk, and valuation functions across major financial centres.

Mandé Quant Capital represents the natural extension of this institutional experience into a fully independent, systematic investment platform — built from first principles, not legacy constraints.

Domain Experience
Quantitative Risk Management Design and oversight of risk frameworks for complex, multi-asset portfolios
Portfolio Analytics Performance attribution, factor decomposition, and quantitative portfolio analysis
Valuation & Performance Valuation of multi-currency, multi-asset portfolios across global markets
Institutional Governance Design and implementation of control and audit structures for large financial institutions
Why Mandé

Rooted in Empire. Built for Global Markets.

The name Mandé refers to one of the world's earliest centres of trade, governance, and long-distance commerce, originating in West Africa. The Mandé world was built on structured systems, rules-based decision making, and long-term capital stewardship — principles that closely align with the philosophy of systematic investing. The name reflects both heritage and philosophy: to honour an intellectual and commercial tradition that predates modern finance by centuries, while the firm itself is firmly global in scope, outlook, and execution.

— The Founder

Structured Systems

Rules-based governance embedded in every process — from signal generation to execution

Long-Distance Trade

Global reach across all liquid financial markets, honouring the empire's intercontinental trade routes

Capital Stewardship

Disciplined, long-term approach to capital preservation and consistent compounding

Intellectual Rigour

A centuries-old tradition of scholarship — from Timbuktu to modern data science

Investor Relations

Ready to Learn More?

We welcome conversations with qualified investors, family offices, institutions, and allocators seeking uncorrelated, systematic returns.

Get in Touch