Quantamental Investment Strategies
Quantamental Investment Strategies
What We Do
M2 Quantamental Capital (M2QC) is an emerging alternatives investment manager developing and managing Quantamental Investment Strategies across listed metals and mining equities and private-market resource assets. The firm combines fundamental sector analysis with quantitative and algorithmic methods, probabilistic modeling, computational research, and financial engineering.
Across public markets, M2QC develops and validates strategies through backtesting, factor and signal analysis, portfolio construction, optimization, scenario testing, and risk modeling. Across private markets, the same methodology is applied to geological and development risk, financing pathways, dilution, capital requirements, transaction structure, investment sizing, and expected-return analysis.
Probabilistic and computational methods are used to model uncertainty across geological outcomes, development timelines, commodity assumptions, financing scenarios, valuation, and exit pathways. Financial engineering connects these outputs to capital structure, security design, investor rights, and transaction economics.
M2QC develops research technology and analytical infrastructure for data processing, screening, model development, portfolio analytics, and transaction analysis. The objective is to combine fundamental mining expertise with quantitative discipline to improve investment selection, portfolio construction, transaction structuring, capital allocation, and risk management.
Our Services
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Development and validation of investment strategies combining fundamental metals and mining analysis with quantitative and algorithmic methods.
Services include:
investment hypothesis development
quantitative research
factor and signal analysis
strategy design
historical backtesting
robustness testing
sensitivity analysis
scenario and stress testing
model validation
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Research and portfolio frameworks for listed metals and mining equities.
Services include:
equity screening and ranking models
systematic investment strategies
portfolio construction
allocation methodologies
portfolio optimization
commodity and factor exposure analysis
drawdown and risk modeling
liquidity and capacity analysis
model portfolio development
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Quantamental analysis for private-market resource assets and transaction-specific investment opportunities.
Services include:
investment screening
probability-weighted analysis
geological and development risk modeling
financing pathway analysis
dilution modeling
expected-value analysis
IRR and MOIC scenario modeling
investment sizing
staged capital analysis
exit scenario analysis
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Quantitative analysis of investment structures and capital deployment strategies.
Services include:
transaction structure modeling
entry valuation analysis
equity and structured equity analysis
project-level investment structures
financing sequence modeling
warrants and participation rights
follow-on and pre-emptive rights
ownership and dilution analysis
return waterfalls
scenario-dependent investor economics
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Portfolio-level analysis across public and private metals and mining investments.
Services include:
portfolio construction frameworks
capital allocation models
concentration analysis
correlation analysis
commodity exposure analysis
stage and jurisdiction exposure
portfolio risk modeling
return distribution analysis
public and private allocation frameworks
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Development of analytical infrastructure supporting investment research and strategy execution.
Services include:
research database architecture
financial and probabilistic models
algorithmic screening systems
backtesting frameworks
scenario engines
portfolio analytics
technical and financial data normalization
automated research workflows
AI-assisted document and dataset analysis