Make better investment decisions without making investing your second job.

Q: What is CommonQuant (Common Quant)?

CommonQuant, also written Common Quant, is an AI investment research hub and alert hub. It runs institutional-grade research on every market thesis — structured thesis extraction, ticker selection grounded in SEC XBRL fundamentals, adversarial review by specialist AI critics, and quantitative portfolio allocation — then compiles the conclusions into a deterministic, auditable strategy that is backtested and stress-tested before it can go live, monitored continuously, and checked against the news hourly — alerting users when conditions are met and concluding campaigns whose theses are invalidated by the news.

Q: How does CommonQuant generate trading strategies?

Every thesis goes through a multi-stage research pipeline: structured thesis extraction (theme, sectors, direction, horizon, risk appetite), fresh relevant headlines injected at generation, ticker selection grounded in real fundamentals data (SEC XBRL, key ratios, sector percentiles), and adversarial review by specialist AI critics — a risk auditor, red team, regime skeptic, and diversification critic. Allocations are computed by quantitative methods such as Black-Litterman and hierarchical risk parity. 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 across 12-month and 5-year windows 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.

Q: How do I receive trading signal alerts?

CommonQuant provides an in-app signal inbox on all plans, and email alerts on all plans — pay-as-you-go with credits on Free, 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.

Q: Is CommonQuant free to use?

Yes. CommonQuant has a free tier with 1,000 starter credits, 500 monthly refill credits, up to three signal subscriptions, in-app alerts, and pay-as-you-go email alerts. Paid plans start at $9/month, and no credit card is required to start.

Q: Can I copy public trading strategies?

Yes. Users can browse, preview, and copy public community and AI-generated strategies into their own accounts. Every published idea is tracked to outcome in public, and ideas can be unlocked into Advanced Analysis — institutional-depth research reports 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.

Know what deserves your money, when to act, and when the story has changed—without spending hours researching or watching the market.

CommonQuant gives you a 24/7 AI investment agent—built for people with money to invest, but no time to watch the market all day.

Research an investment idea

Your agent researches and tests the idea, then keeps watch—checking market moves and new headlines against the reasons behind your investment. You remain in control.

What do you believe could happen in the market?

                    Falling interest rates could benefit homebuilders over the
                    next 12 months.
                  

Press Enter to research · Shift + Enter for a new lineResearch this idea →

Latest research & trade ideas

Researched ideas from today's market — each with a thesis, supporting evidence, and auditable rules. Read the analysis, or put any one through the research pipeline as a strategy.

TeraWulf Jumps 6% as NVIDIA’s Guidance Reignites the Compute Trade, Applied Digital Gains 5%
Yahoo Finance · APLD, NVDA, WULF
Nvidia's upbeat outlook has investors buying smaller companies that build the data centers powering AI, like TeraWulf and Applied Digital, which jumped 5-6% in a day.
Fed-Treasury ‘Regime Change’ May Fuel Bond Rally, Citrini Says
Bloomberg · TLT, ZB
The Treasury Department and the Fed are reportedly coordinating to issue more short-term debt and less long-term debt, which one research shop says could fuel a rally in 30-year bonds. Even though the latest inflation reading came in a bit hot, bond yields barely moved — suggesting the market is already shrugging off inflation news.
Salesforce leads software rally, rocketing 20% on track for second-best day ever
CNBC · CRM, FIG, TEAM
Salesforce just jumped 20% after crushing earnings and announcing a big AI partnership, and the same day other software names like Figma and Atlassian surged as investors realized AI is helping software companies rather than killing them. The whole beaten-down software group may be turning around at once.
Kuwait and Qatar Add to Growing Oil Flows Getting Through Hormuz
Bloomberg · BRENT, USO, XLE
The war premium is draining out of oil. More Gulf crude is getting through the Strait of Hormuz than feared, Oman and Iran just made a surprise de-escalation move, and prices are tumbling — which has already proven to be a tailwind for stocks.
Why Marvell Earnings Matter More for an AI Revival Than Nvidia’s
Barron's · MRVL
Marvell's upcoming earnings report could matter more for the AI trade than Nvidia's, because Marvell's custom-chip business shows whether big tech companies' spending on bespoke AI chips is accelerating.
BOJ deputy chief calls for timely rate hike, focus on inflation risk - Reuters
Reuters · IEF, TLT, UUP
Inflation came in hot in July and stays well above the Fed's comfort zone, keeping a September rate hike on the table — and now even Japan's central bank is publicly calling for higher rates. Two of the world's biggest central banks turning hawkish at once is bad news for bonds.
Nasdaq Futures Rise 1% on Nvidia's Sales Outlook: Markets Wrap
Bloomberg · CRM, QQQ
Nvidia just told investors to expect stronger-than-feared sales, and the same evening Salesforce raised its own yearly forecast thanks to an expanded AI deal with Anthropic. Two different companies, same message: businesses are still spending big on AI.
Revolution Medicines gets FDA nod for targeted pancreatic cancer drug
CNBC · RVMD
Revolution Medicines just won FDA approval for a once-daily pill that targets a key driver of pancreatic cancer — one of the hardest cancers to treat. Drug approvals like this often unlock a fresh wave of buying as the company can now actually sell the medicine.

Browse all research & ideas →

CommonQuant (Common Quant) — The AI Investment Research Hub & Alert Hub

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 strategy is automatically backtested (12-month and 5-year walk-forward windows) 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 and by email on all plans, with Telegram, SMS, and WhatsApp channels on paid plans. AI does the research. Rules you can audit fire the alert.

How CommonQuant works

Write your thesis: Describe your market view in plain English. For example, "A Middle East ceasefire will trigger a relief rally on the S&P 500" or "Trump will TACO on the Hormuz blockade — short crude oil."
AI runs the research: CommonQuant extracts the structured thesis (theme, sectors, direction, horizon, risk appetite), retrieves fresh relevant headlines and injects the most relevant into the generation, selects tickers grounded in real fundamentals data — never hardcoded lists — and subjects the result to adversarial review by specialist AI critics: a risk auditor, red team, regime skeptic, and diversification critic.
Quantitative construction: Allocations are computed deterministically in-engine by real quantitative methods — Black-Litterman, hierarchical risk parity, risk parity, max-Sharpe, min-variance — and selected by risk-adjusted performance. The AI explains; it never invents the numbers.
Compile, monitor, alert: The research compiles into an auditable strategy DSL with explicit invalidation conditions, validated by a real compiler and automatically backtested across 12-month and 5-year walk-forward windows and stress-tested — the strategy stays gated until the backtest completes. Once live, an AI news judge re-reads the news hourly and can conclude and settle the campaign when fresh headlines confirm its invalidation conditions, notifying the owner and followers. When entry or exit conditions trigger, you receive an in-app alert, with email on every plan and Telegram, SMS, and WhatsApp on paid plans.

Key features

Multi-stage AI research — thesis extraction, fundamentals-grounded ticker selection (SEC XBRL, sector percentiles), and adversarial review by specialist AI critics before anything ships
Institutional portfolio construction — Black-Litterman, hierarchical risk parity, risk parity, max-Sharpe, and min-variance allocations, computed deterministically in-engine
World-aware strategies — every strategy carries explicit invalidation conditions, and an hourly AI news judge can conclude and settle a live campaign when fresh headlines confirm them, notifying the owner and followers
Verified before live — every generated strategy is automatically backtested (12-month and 5-year windows, walk-forward parameter tuning) and stress-tested on its backtest evidence, and stays gated until the backtest completes
Advanced Analysis — institutional-depth research reports: computed fundamentals, correlation/VaR/CVaR risk structure, live distance-to-trigger on every rule, a stress-context panel with multi-window parameter sensitivity, evidence for and against, catalysts, and a conviction score with published weights
A real strategy language — 20+ indicators, chart patterns, divergences, Fibonacci and support/resistance structure, cross-asset triggers, and risk-based sizing, validated by a real compiler and backtested; every alert is deterministic and auditable
Continuous market monitoring across timeframes from 1 minute to 1 week
In-app and email alerts on all plans; Telegram, SMS, and WhatsApp on paid plans
Breaking-news-driven research — significant headlines become researched, ready-to-copy strategies
Transparent track record — every published idea is tracked to outcome, in public
Arena competitions and global strategy leaderboards
SEC fundamentals screener — compare companies by financial metrics

Pricing

Free ($0): 1,000 starter credits, 500/month refill, in-app signal alerts, pay-as-you-go email alerts
Starter ($9/month): 5,000 credits + 2,500/month refill, up to 10 signal subscriptions, SMS/WhatsApp/Telegram alerts, 14-day free trial, cancel anytime
Pro ($19/month): 13,000 credits + 6,500/month refill, up to 25 subscriptions, premium AI models, priority signal delivery
Max ($49/month): 40,000 credits + 20,000/month refill, up to 80 subscriptions, highest alert allowances

No credit card required to start. All tiers can be changed or cancelled anytime.

Explore CommonQuant

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.

Frequently asked questions

What is CommonQuant (Common Quant)?

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.

How does CommonQuant generate trading strategies?

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 across 12-month and 5-year windows 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.

Does CommonQuant monitor the news for live strategies?

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.

What markets and instruments does CommonQuant support?

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.

How do I receive trading signal alerts?

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.

Is CommonQuant free to use?

Yes. CommonQuant has a free tier with 1,000 starter credits and 500 monthly refill credits, including in-app signal alerts and pay-as-you-go email alerts. Paid plans start at $9/month (Starter, with a 14-day free trial) for SMS/WhatsApp/Telegram alerts and included email allowances, and $19/month (Pro) for up to 25 subscriptions and premium models. No credit card is required to start.

Does CommonQuant provide financial advice?

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.

Can I copy public trading strategies?

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.

About CommonQuant

CommonQuant is built by Replikate Labs Pte Ltd. 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.