Put your market view to the test.
Search a company or a market idea. Explore the thesis, examine the evidence for and against it, and review the rules and available tests behind a strategy.
Search a company or a market idea. Explore the thesis, examine the evidence for and against it, and review the rules and available tests behind a strategy.
Explore published market ideas and inspect their evidence. Analysis availability and publication dates are shown on each idea.
Johnson & Johnson beat profit expectations this quarter, with its medicine business growing strongly at over 7%. Its medical-device unit only grew a little because of the Middle East conflict, but that's a temporary drag rather than a business problem.
As big banks report earnings, the ones built on lending — like Wells Fargo — are growing profits thanks to strong loan demand, while the trading-heavy giants like JPMorgan and Goldman are stumbling on their bond-trading desks.
Memory-chip stocks across Asia are selling off on fears that a Chinese rival's breakthrough will flood the market, dragging Micron down with them. At the same time, Micron just signaled it will hand a big slice of its cash pile back to shareholders through buybacks.
Search a company or a market idea. Explore the thesis, examine the evidence for and against it, and review the rules and available tests behind a strategy. CommonQuant connects market research, investment theses and strategy tests so you can inspect the reasoning before deciding. Historical backtests and paper trading are separate simulations; thesis model portfolios are distinct historical portfolio simulations. They do not show real-money investment returns or promise future performance. Choose available research-change or strategy-condition alerts and review their context.
CommonQuant is free to start with no credit card. Max has 20× the Free usage limit, more research capacity, and alert channels. Prices, allowances, and trials can change; compare the current plans and terms before choosing one.
Learn how to turn ideas into custom stock alerts, use the AI trading strategy builder, inspect an idea with advanced stock analysis, or follow market news and published research. See how CommonQuant fits into a broader investment research website stack. Compare the workflow with TrendSpider and Composer before choosing a tool.
CommonQuant connects market research, investment theses and strategy tests. Search a company or market idea, examine the reasoning and evidence, and inspect available strategy rules and tests before deciding what to explore next.
Strategy tools turn a market idea into inspectable rules. Review the available thesis, supporting evidence and limitations alongside the strategy. Test coverage varies by strategy version; inspect the available historical backtest rather than assuming every strategy has the same tests.
Available alerts can help you follow changes in research or strategy conditions. Review the context and availability for the thesis or strategy you follow. An alert does not place a trade through your broker.
Search a company, ticker or market idea and review the available research. Data, thesis artifacts and strategy-test coverage vary by instrument and strategy version. Inspect the available sources and tests rather than assuming the same coverage for every market.
CommonQuant provides an in-app signal inbox and email alerts on every plan — email is pay-as-you-go with purchased credits on Free and comes with an included monthly allowance on paid plans. Paid plans add Telegram, plus metered monthly SMS and WhatsApp allowances. Review the available trigger or research context for each alert. CommonQuant alerts; you execute through your own broker.
Yes. CommonQuant has a free tier, including in-app signal alerts, and no credit card is required to start. Paid plans expand your usage limit (Max has 20× the Free usage limit) and alert channels. Compare current prices, allowances, and trial terms on the live plans page.
No. Historical backtests and paper trading are separate simulations; thesis model portfolios are distinct historical portfolio simulations. They do not show real-money investment returns or promise future performance. Review the measurement type, period, assumptions and sample size behind each available result.
No. CommonQuant is a quantitative tool for alpha validation and does not constitute financial advice. Past performance does not guarantee future results. Users are responsible for their own trading decisions.
Browse public strategies and inspect their available rules and results before choosing whether to copy one into your account. Historical backtests, paper-trading records and thesis model portfolios are distinct simulations, not real-money returns. Advanced Analysis coverage varies by report; review its available sources and evidence.
CommonQuant at commonquant.ai was built in 2025 by Replikate Labs and Nasrudin Salim. It is operated by Replikate Labs Pte Ltd, a Singapore company (UEN 202405855Z). It combines market research, investment theses and inspectable strategy tests, with available alerts to follow changes and conditions. It is a quantitative tool for alpha validation and does not constitute financial advice. Past performance does not guarantee future results. Meet the company and people behind CommonQuant.