Helm Investment Partners — Miami

Systematic
exploitation of
behavioral biases

A rules-based global equity strategy that captures recurring patterns of market overreaction and underreaction across 31 countries — where human psychology creates persistent, measurable inefficiency.

31+
Countries
24
Years Backtest
100%
Rules-Based

The edge markets
repeatedly give away

Strategy

Systematic exploitation of behavioral biases in global equity markets through mean reversion and momentum strategies

Focus on mean reversion and momentum patterns across 31 countries and multiple timeframes

100% rules-based approach eliminates emotional decision-making and enables continuous, rigorous process evaluation

Powered by Helm's proprietary Statistical Analysis Framework (SAF) — built for high-throughput statistical testing and live execution

Value to Investors

Diversified return streams generated by multiple behavioral models running simultaneously across diverse geographies and timeframes

Consistent, process-driven results from the combination of our rigorously tested quantitative framework and multi-layer risk management

A platform built to continuously generate innovative quantitative methods that identify and capture new behavioral inefficiencies

Led by founders with over two decades of international markets experience across Goldman Sachs, HSBC, Marathon and Tarpon

Markets misbehave.
Systematically.

Behavioral economics and decades of market data converge on a single insight: human psychology creates predictable, recurring patterns in asset prices. Helm is built to exploit them — methodically, at scale, without exception.


Asset prices carry significantly more predictive information than fundamentals. Our ability to invest across 31 countries dramatically expands the opportunity set and reduces dependence on any single market regime.

01
Overreaction & Pessimism
Mean Reversion Strategy

Markets systematically overreact to negative news, producing price dislocations that exceed rational reassessment. These moments of excessive pessimism create contrarian entry points with a structural value bias — as sentiment eventually normalizes, extreme price movements reverse with statistically meaningful regularity.

02
Underreaction & Optimism
Momentum Strategy

Markets are slow to incorporate and disseminate positive information. Price trends form and persist as improving narratives gradually spread through the investor base. Momentum strategies ride this diffusion process — capturing the systematic lag between reality and market recognition.

03
Consistency Across Markets
Fundamental Principles

Behavioral patterns are not idiosyncratic to a single market or era — they repeat consistently across countries and timeframes because human psychology is universal. Systematic decision-making removes the very biases we seek to exploit, allowing Helm to capitalize on what discretionary investors cannot avoid repeating.

Rigor as a
competitive advantage

Every model in the portfolio has survived a demanding multi-stage validation process. The high attrition rate is not a weakness — it is the mechanism that ensures only statistically robust, non-overfitted behavioral signals reach live trading.

01
Behavioral Hypothesis
Rooted in academic behavioral finance literature — identifying documented cognitive biases and recurring market anomalies as the foundation for model development
02
Broad Validation
Is the pattern consistent across long time horizons, multiple timeframes (daily, weekly, monthly), and geographies? Does the dataset support statistically significant inference?
80% eliminated
03
In-Sample Testing
Models tested across thousands of parameter combinations on 70% of data. We evaluate consistency across parameters (overfitting mitigation) and timeframes (regime change mitigation)
50% eliminated
04
Out-of-Sample Testing
Selected models validated on the remaining 30% of data — the same rigorous tests applied to untouched data, selecting optimal parametrization for portfolio integration
30% eliminated
05
Portfolio Testing
Low inter-model correlation is prioritized. The combined portfolio must outperform the sum of its parts. Statistical diversification increases robustness by reducing single-pattern dependence
10% eliminated
06
Live Trading
Surviving models integrated into the live portfolio with capital allocation optimized according to consistency of returns and volatility characteristics
Live
Phase 1
In-Sample Testing
  • 70% of available data used
  • Thousands of parameter combinations tested
  • Dozens of statistical measures evaluated
  • Consistent performance across parameters required
  • Consistent performance across timeframes required
Phase 2
Out-of-Sample Testing
  • 30% of data withheld until this phase
  • Identical tests replicated on clean data
  • Optimal parametrization selected
  • Results must mirror in-sample consistency
  • Selected for theoretical portfolio integration
Phase 3
Portfolio Integration
  • Low inter-model correlation prioritized
  • Extreme scenario behavior evaluated
  • Portfolio must outperform sum of parts
  • Capital allocation optimized dynamically
  • Ongoing statistical monitoring post-launch

Three layers of
oversight

Position Level
Portfolio Construction
Volatility-adjusted position sizing
Diversification requirements enforced
Concentration limits applied
Liquidity requirements monitored
Dynamic position rebalancing
Pre-defined, tested exit rules
Model Level
Statistical Oversight
Recurring statistical monitoring against confidence intervals
Pre-defined exit rules at model level
Inter-model correlation tracking
Model diversification requirements
Model concentration limits
Dynamic capital reallocation per model
Portfolio Level
Real-Time Monitoring
Real-time position and exposure monitoring
Real-time volatility and drawdown assessment
Real-time performance attribution
Real-time liquidity evaluation

31 markets.
One framework.

31
Countries
16
Developed Markets
15
Emerging Markets
24yr
Historical Data
Developed Markets
Australia
Japan
Canada
Netherlands
Denmark
Norway
France
Singapore
Germany
Spain
Hong Kong
Sweden
Israel
United Kingdom
Italy
United States
Emerging Markets
Brazil
Qatar
Chile
Saudi Arabia
China
South Africa
Greece
South Korea
Indonesia
Taiwan
Malaysia
Thailand
Mexico
Turkey
Poland
Execution Infrastructure
Global Brokers
Interactive Brokers  ·  BTG Pactual  ·  Auerbach Grayson
Local Brokers
Piraeus  ·  Tera Yatirim  ·  Arqaam

Seasoned across
three decades

Helm's founders have worked together for over a decade and bring deep international markets experience from two decades at leading global platforms. The team combines elite quant research capability with institutional-grade operations infrastructure.

Founder & Managing Partner
Philip Reade
At Helm since 2016
29
Years Total
21
Years Investing
  • Tarpon Investimentos — Partner, Co-Portfolio Manager
  • Marathon Asset Management — Head of Brazil
  • Goldman Sachs — Investment Banking
  • McKinsey & Co — Consulting
  • Stanford Business School MBA · USP Economics
Founder & Managing Partner
Thomaz Malavazzi
At Helm since 2016
24
Years Total
16
Years Investing
  • Tarpon Investimentos — Partner, President of International Ops
  • HSBC Asset Management — Lead Strategist, US$15bn AUM
  • Merrill Lynch Principal Investments (NY)
  • PricewaterhouseCoopers — Audit
  • Chicago Booth MBA · FAAP Economics
Partner — Head of Quantitative Research
Erik Cabral, CFA
At Helm since 2022
16
Years Total
9
Years Investing
  • BTG Pactual — Associate Director, Quant Unit
  • Petrobras — Risk Management and Quant Research
  • Itaú Bank & Santander — Risk Management
  • Military Institute of Engineering — Computer Engineering
Partner — COO / CFO / CCO
Ray Waterhouse
At Helm since 2022
41
Years Total
31
Years Investing
  • Shoals Capital Management — Partner, COO/CFO/CCO
  • Magnitude Capital — MD and Director of Operations (US$4bn FoF)
  • Deerfield Capital · Manufacturers Hanover · Drexel · Barclays
  • NYU Stern MBA · Syracuse University
Advisor
Mark Bower
At Helm since 2020
22
Years Total
22
Years Investing
  • Bienville Capital — Head of Emerging Markets Research
  • Argonaut Capital — Senior Analyst, EM Equities
  • Prince Street Capital — Latam, ME & Africa
  • Emory University — Economics, Philosophy and History

Fund structure

Fund Name
Helm Systematic Global Recovery Fund, LP
Jurisdiction
Delaware
Currency
US Dollar
Liquidity
Quarterly
30 days notice · No lock-up
Share Classes
Class S & Class A
S: > US$15mm  ·  A: < US$15mm
Management Fee
0.99% – 1.5%
Annual rate, paid monthly · Class dependent
Incentive Allocation
15% – 20%
Subject to high-water mark · Paid annually · Class dependent · Early commitment and large allocation discounts available

This is not an offer or solicitation with respect to the purchase or sale of any security. An offering will be made only by means of a Confidential Private Placement Memorandum. Past performance is not indicative of future results. An investment in the Fund involves significant risk, including the possible loss of principal.

Ready to discuss
the strategy?

Access is limited to qualified institutional investors and sophisticated individuals. We welcome conversations with allocators who share our conviction that market psychology is a persistent, exploitable edge.

Address
1111 Brickell Avenue, 10th Floor
Miami, FL 33131
Fund Inquiries
info@helmip.com