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Latest research & trade ideas

Explore published market ideas and inspect their evidence. Analysis availability and publication dates are shown on each idea.

  1. Bitcoin on Fire: Frenzy Intensifies as $6.8 Billion Floods Into Crypto ETFs in Just 6 Weeks
    Yahoo Finance · IBIT, MSTR

    Huge amounts of money — $6.8 billion in six weeks — are pouring into Bitcoin funds that regular stock investors can buy through their brokerage accounts. This steady inflow is pushing Bitcoin higher even as other markets wobble.

  2. Wall Street bets on a rate hike, but the Fed decision could be a close call
    Yahoo Finance · QQQ, SPY

    The Fed raised rates another quarter point and told markets to expect one more hike this year. Even though stocks sold off on the news, futures are already bouncing — a rally into a tightening cycle with rates at multi-decade highs looks fragile.

  3. Wall Street Confronts Prospect of a New Era After Treasury Yield Hits 5%
    WSJ · BAC, JPM, WFC

    Government bond interest rates just hit their highest levels in nearly two decades, and Goldman Sachs now thinks the Fed will raise rates again in October. While this is bad news for most stocks, banks actually make more money when rates stay high because they earn more on loans.

  4. Fed rate hike on Wednesday now likely, say economists, and at least one more to follow: Reuters Poll - Reuters
    Reuters · QQQ, SPY

    Everyone assumes the Fed will raise interest rates on Wednesday, but serious analysts argue the Fed might hold steady — and either outcome would jolt markets. When a big decision could go either way, it pays to bet on a big move rather than picking the direction.

  5. China’s Credit Expansion Misses Forecast as Loan Demand Sags
    Bloomberg · FCX, HG

    New borrowing by Chinese households and businesses came in far below expectations in August, showing that despite government support, companies and people aren't taking out loans to spend and build. China is the world's biggest buyer of industrial raw materials, so weak borrowing usually means weak future demand for metals.

  6. Uber Cuts 10% of its Workforce to Fund a $10 Billion Robotaxi Bet
    Yahoo Finance · UBER

    Uber is laying off 10% of its staff and redirecting the savings into a $10 billion push into self-driving taxis. The market often punish layoffs headlines at first, but the cost savings plus a clear growth bet can set up a rebound.

  7. Anthropic selects Nasdaq for IPO, Business Insider reports - Reuters
    Reuters · GOOGL, MSFT, NVDA

    Anthropic, one of the biggest AI companies, has reportedly chosen to list its shares on the Nasdaq — a major new AI stock coming to market. Meanwhile, Goldman says AI is behind half of all big-company profit growth, and suppliers like Foxconn keep confirming demand is real.

  8. Refining Bottleneck Sends Diesel to Record High
    Bloomberg · CRAK, MPC, VLO

    Diesel has hit record highs because refiners — the plants that turn crude into fuel — are already running flat out and can't make more, while a major Saudi pipeline outage is cutting off fuel supply. Scarcity in finished fuel, not crude itself, is the real bottleneck.

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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

  1. 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."
  2. 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.
  3. 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.
  4. 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.