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Artificial intelligence for financial markets
Exploring machine learning methods and their limitations against classical benchmarks.
RESEARCH · QUANTITATIVE FINANCE · EMERGING TECHNOLOGIES
QUANTISENSE
CAPITAL
INTELLIGENCE TODAY FOR A BRIGHTER TOMORROW
Rigorous quantitative research to better understand financial markets, their dynamics and their risks.
Explore our research Contact usRESEARCH · QUANTITATIVE FINANCE · EMERGING TECHNOLOGIES
An evidence-led approach
QUANTISENSE CAPITAL is a venture in formation. Our research platform explores quantitative approaches and emerging methods through progressive validation and transparent comparisons.
Documented research
24research and development versions, through v24
179archived financial data series
594 036historical observations collected
Markets studied: cryptocurrencies, US equities and ETFs. Historical data undergo quality checks and audits; they are not live performance records.
Three research directions
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Emotional Market Intelligence (EMI)
Exploratory research on collective emotions and narratives that may influence markets.
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Hybrid classical–quantum computing
Experiments with simulated methods and their relevance compared with classical approaches.
A careful view of risk
In a retrospective v23 historical study covering 57 cryptocurrencies, a classical EMA strategy shows a smaller maximum drawdown than two passive benchmarks. However, buy-and-hold delivers a higher cumulative return.
Historical maximum drawdown (magnitude)
Source: V1–V24 technical dossier, v23 study, January 2023–September 2026. Retrospective simulations subject to period selection, costs and bias. This chart demonstrates neither statistical advantage nor future performance.
Documented research
Our scientific method
Quality-checked historical data; simulations and out-of-sample testing; comparisons with financial benchmarks; cost and risk analysis; a frozen v24 prospective protocol designed to collect new observations before drawing conclusions.
Documented research
Validation status
No real orders executed and no audited live performance. AI, EMI and quantum modules remain experimental. Prospective results were not yet available when the v24 protocol was initialized.
One team, complementary expertise
Christine Lemarchand
Project Owner, Director of Marketing and Strategic Development
Entrepreneurial strategy, positioning, development and partnerships.
Pierre Albert (Parham Ghayour)
Founder of the technology project, CTO and Scientific Director
Creator of the algorithm underpinning the project; leads scientific research and technology development.
Documented research
Building the next steps together
We welcome scientific, technology, institutional and financial partners to validate methods, explore use cases and prepare potential pilots.
Get in touch
To discuss our research or a partnership:
quantisensecapital@proton.me ↗QUANTISENSE CAPITAL — Venture in formation. Information on experimental research only; no financial services or investment advice offered.
Legal & privacy information
Website operator: QUANTISENSE CAPITAL project (company not yet incorporated). Contact: quantisensecapital@proton.me. Hosting: Cloudflare Pages. This site has no form or analytics tracking added by us. Clicking the email address opens your email client. Messages sent by email are processed to respond to your request. Legal information will be completed before official launch.