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.

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.

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 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.

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.

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. 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.

CommonQuant.ai Research

AI-generated trading idea · LONG · APLD, NVDA, WULF

Nvidia's guidance lit a fire under the little data-center stocks — ride WULF and APLD higher

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.

Idea

Nvidia's guidance just reignited the whole AI buildout trade, and the biggest percentage movers weren't Nvidia itself but the small data-center builders TeraWulf and Applied Digital. These names are leveraged ways to play AI infrastructure spending because their valuations are small and their fortunes rise and fall with compute demand. When the sector leader gives strong guidance, the smaller satellites tend to outperform for weeks as money rotates down the chain. Riding that rotation offers more upside than buying the already-huge headline name.

Key details

APLD NVDA WULFD1#long-bias#ai#compute#swing

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TeraWulf Jumps 6% as NVIDIA’s Guidance Reignites the Compute Trade, Applied Digital Gains 5% — Yahoo Finance

Nvidia's guidance lit a fire under the little data-center stocks — ride WULF and APLD higher

Idea

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