Maple Research's public knowledge base: what Maple is, how it works, its research methodology, and a glossary of quantitative trading terms.
- About Maple Research
Maple Research is a quantitative research platform that helps traders test, validate, and understand trading strategies using historical data, statistical analysis, and AI-assisted research tools.
- Our Mission
Maple Research's mission is to make rigorous, evidence-based strategy testing accessible, replacing hype and hindsight bias with statistical discipline.
- How Maple Works
An overview of how Maple Research works: describe a strategy idea, backtest it against historical data, and run it through a series of statistical validation checks before drawing conclusions.
- Features
An overview of Maple Research's core features: AI-assisted strategy research, backtesting, robustness validation, a strategy library, paper trading, and market observation tools.
- Technology
Maple Research runs on a browser-based deterministic backtesting engine, secure server-side data proxying, and optional local AI assistance — no proprietary trading infrastructure or hidden black-box models.
- Methodology
Maple Research's validation methodology: out-of-sample testing, parameter sensitivity, sample-size checks, drawdown analysis, Monte Carlo simulation, walk-forward testing, and market-regime analysis.
- Frequently Asked Questions
Frequently asked questions about Maple Research: what it is, whether it gives financial advice, how backtesting works, and what data and technology it uses.
- Roadmap
The general direction of Maple Research's development: deeper strategy validation, an expanded research library, and continued focus on evidence-based, non-promotional research tools.
- Philosophy
Maple Research's philosophy: evidence over excitement, robustness over perfect backtests, and better questions over easy answers.
- Security
How Maple Research handles security: row-level data isolation, no client-side exposure of third-party API keys, and no brokerage or real-money trading connectivity.
- Privacy
How Maple Research handles user data: what is collected for signed-in accounts, what stays local in guest mode, and what third parties are involved.
- Glossary of Quantitative Trading Terms
A glossary of quantitative trading and strategy-validation terms — backtesting, overfitting, walk-forward testing, Monte Carlo simulation, drawdown, and more — as used in Maple Research.