CommonQuant, also written Common Quant, is the AI research hub and alert hub for serious investors. It runs an institutional-grade research pipeline on every market thesis — structured thesis extraction, fresh news injected at generation, ticker selection grounded in SEC XBRL fundamentals, adversarial review by specialist AI critics, and quantitative portfolio allocation — then compiles the conclusions into deterministic, auditable strategies. Every rule-based strategy is automatically backtested over a timeframe-dependent historical window with walk-forward checks and stress-tested before it can go live. The platform then gives each live strategy a 24/7 AI investment agent that monitors market conditions and checks fresh headlines against its thesis. It alerts you when conditions trigger or when the original story no longer holds — in-app on Free, with email available using credits. Max includes email, Telegram, SMS, and WhatsApp allowances. AI does the research. Rules you can audit fire the alert.
CommonQuant is free to start with no credit card. Paid plans add credits, 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 ready-to-copy trade ideas. See how CommonQuant fits into a broader investment research website stack. Compare the workflow with TrendSpider and Composer before choosing a tool.
CommonQuant, also written Common Quant, is the AI research hub and alert hub for serious investors. You describe what you believe about the market — for example, "A Middle East ceasefire will trigger a relief rally on the S&P 500" — and CommonQuant runs institutional-grade research on it: structured thesis extraction, ticker selection grounded in SEC XBRL fundamentals, adversarial review by specialist AI critics, and quantitative portfolio allocation. It then compiles the conclusions into a deterministic, auditable strategy — backtested and stress-tested before it can go live — watches the market and the news continuously, and alerts you the moment conditions are met or the thesis breaks.
You write a natural-language prompt describing your thesis. Every thesis goes through multi-stage research: structured extraction of theme, sectors, direction, horizon, and risk appetite; fresh relevant headlines retrieved and injected at generation; ticker selection grounded in real fundamentals data — never hardcoded lists; and adversarial review by specialist AI critics (risk auditor, red team, regime skeptic, diversification). Allocations are computed by quantitative methods such as Black-Litterman and hierarchical risk parity, run deterministically in-engine. The result compiles into a full strategy DSL — 20+ indicators, chart patterns, divergences, cross-asset triggers, risk-based sizing — validated by a real compiler, then automatically backtested over a timeframe-dependent historical window with walk-forward parameter tuning and stress-tested. The strategy stays gated until the backtest completes; only then does it run live with deterministic, auditable triggers and alerts through the channels on your plan.
Yes — continuously, and it can act on what it finds. Every strategy carries explicit thesis-invalidation conditions generated with its thesis. An AI news judge runs hourly against live campaigns, and when fresh, relevant headlines confirm those conditions, the judge can conclude and settle the campaign, notifying the owner and its followers. News is also an input, not just a trigger: the generator retrieves fresh headlines and injects the most relevant into each new strategy, and significant breaking news becomes researched, ready-to-copy ideas.
CommonQuant supports several thousand US equities and ETFs listed on Nasdaq, NYSE, NYSE American, and Cboe, plus major crypto assets such as Bitcoin. It does not support FX or futures.
CommonQuant provides an in-app signal inbox and email alerts on every plan — email is pay-as-you-go with credits on Free and comes with an included monthly allowance on paid plans. Paid plans add Telegram, plus metered monthly SMS and WhatsApp allowances. Every alert is fired by deterministic, auditable rules — you can see exactly why it triggered. 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 research credits and alert channels. Compare current prices, allowances, and trial terms on the live plans page.
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.
Yes. CommonQuant lets users browse, preview, and copy public community and AI-generated strategies into their own accounts. Every published idea is tracked to outcome in public, and any idea can be unlocked into Advanced Analysis — an institutional-depth research report with computed fundamentals, risk structure, evidence for and against, and a conviction score with published weights. Users can also follow strategists and take part in Arena competitions.
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 institutional-depth AI research with deterministic, auditable alerts — AI where judgment matters, rules where trust matters. 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.