Quantitative trading research, built on discipline.
QuantTradingSystem.ai develops tools that turn market data into structured, testable decisions: screening, strategy validation, and risk controls, with sentiment analysis and monitoring currently in development.
Explore the platformWhat we build
A modular research stack. Each component does one job and can be checked on its own.
Market screening
Rules-based screens across a broad equity universe, filtering on liquidity, momentum, and trend structure.
Sentiment analysis In development
Natural-language models that score news and filings so text can be weighed alongside price data.
Data pipeline
Multi-source market data with fallbacks, freshness monitoring, and read-only storage to protect the historical record.
Strategy validation
Ideas are stress-tested before use: benchmark comparison, Monte Carlo simulation, parameter sweeps, and regime stability checks.
Risk controls
Position sizing limits and protective orders. Reconciliation against broker records is planned and in development.
Monitoring & alerts In development
Planned: heartbeat checks and alerting so problems surface quickly.
How we work
A deliberately skeptical process.
- Define the rule. Every signal is written down as an explicit, testable rule.
- Test it honestly. Validation gates must pass before an idea moves forward. Data gaps are reported, not hidden.
- Paper-trade first. New logic runs in simulation before any real capital is considered.
- Monitor and reconcile (in development). Planned: comparing live behavior against what the system believes it is doing.
Important: QuantTradingSystem.ai is a research and software project. Nothing on this site is investment advice, a recommendation, or an offer to buy or sell any security. We make no claims about performance or returns. Past or simulated results do not guarantee future outcomes. Read our Risk Disclosure.
Get in touch
Questions about the project? [email protected] · Follow us on X (@DavidNsimb62469)