Maple Research's public knowledge base: what Maple is building, how the research engine works, its validation methodology, and a glossary of research and quantitative terms.
- About Maple Research
Maple Research is building institutional-grade infrastructure for financial research, simulation, and validation — designed to move a financial hypothesis from data to evidence.
- Our Mission
Maple Research's mission is to reduce the fragmentation in financial research — replacing hype and hindsight bias with hypothesis-driven, evidence-based discipline.
- How Maple Works
Maple is designed around a consistent path from question to evidence, and around a four-stage research engine: input a hypothesis, build a model state, replay history, and produce evidence.
- What Maple Is Designed To Bring Together
The areas Maple is designed to bring together into one research environment: financial data, a research workspace, quantitative modelling, historical testing, simulation, and validation.
- From Hypothesis to Model
An illustrative look at the 'input hypothesis' stage of Maple's research engine: turning a described strategy or idea, in plain English or code, into something that can actually be tested.
- Technology
Maple's engine is designed around determinism and transparency: AI is used to help express a hypothesis, while the underlying calculations stay deterministic and auditable.
- Methodology
Maple's validation approach: out-of-sample testing, parameter sensitivity, sample-size checks, drawdown analysis, Monte Carlo simulation, walk-forward testing, and regime analysis.
- Team
The team building Maple Research: company, product, and engineering leadership behind the research infrastructure now in development.
- Frequently Asked Questions
Frequently asked questions about Maple Research: what it's building, whether it gives financial advice, how it differs from a backtester or a terminal, and how to follow along before launch.
- Roadmap
Maple's development direction in broad terms: defining the core research engine and its first workflow, then broadening data, modelling, simulation, and validation coverage over time.
- Philosophy
Maple's philosophy: hypothesis over hype, evidence over screenshots, robustness over beautiful backtests, and understanding over false certainty.
- Security
Maple's current site collects only what's needed for the waitlist. No accounts, no brokerage connectivity, and no real trading capital exist to protect against yet — the security posture will be documented in full once accounts do.
- Privacy
What Maple's pre-launch site collects: the information submitted through the waitlist and application forms, why, its use of cookies (none, beyond one functional exception), and its no-tracking, no-advertising commitments.
- Terms of Use
Terms of use for the Maple Research marketing site: what the site is (informational, pre-launch), what it isn't (financial advice), and the terms covering the waitlist and application forms.
- Glossary of Research & Quantitative Terms
A glossary of research and quantitative terms as used at Maple Research — from research infrastructure, simulation, and reproducibility through the standard toolkit of strategy validation: out-of-sample testing, walk-forward testing, Monte Carlo simulation, drawdown, and more.