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Sourced market ideas

AI Trading News With Sources and Testable Ideas

CommonQuant selects market headlines for research, links to the original reporting, and publishes dated ideas with a thesis you can challenge. Check the source date and the idea date before treating a story as current. The list below shows the most recently published ideas available from the public feed.

Qualifying ideas can become deterministic strategies with rules you can inspect. An hourly AI news judge checks live campaigns against their thesis-invalidation conditions. A headline or generated summary alone is not a trade signal.

Recent scored market ideas

No recent published ideas are available in this snapshot. Browse the public idea feed for other research.

How CommonQuant analyzes market news

The news engine continuously polls established financial sources including Reuters, Bloomberg, The Wall Street Journal, CNBC, Yahoo Finance, MarketWatch, CoinDesk, The Block, and CoinTelegraph. A source appearing in the feed does not mean every one of its stories becomes a strategy. Headlines are first scored by AI for market significance and relevance.

Stories above the significance threshold enter the research pipeline and can become complete ideas: a readable summary, a fuller thesis with explicit invalidation conditions, suggested symbols grounded in the validated security universe, and one or more compiled strategy variants. The source name and original article link travel with the idea so readers can return to the reporting instead of treating the generated interpretation as a substitute for it.

From a headline to a testable thesis

A headline reports an event; a trading thesis proposes a market consequence. The gap between those two is where the research lives. A useful thesis identifies the likely transmission channel, the instruments that express it, the expected direction, the time horizon, and — critically — the conditions that would show the market is not responding as expected.

CommonQuant’s research pipeline maps that thesis to validated US equities, ETFs, or major supported crypto assets and compiles explicit, deterministic entry and exit rules — unknown tickers are discarded, never invented. The strategy engine supports 20 indicators plus patterns, divergences, and support/resistance structure, and monitors timeframes from 1 minute to 1 week, with intraday coverage varying by asset class. Every compiled strategy is automatically backtested over a timeframe-dependent historical window with walk-forward parameter tuning and stress-tested on its backtest evidence, staying gated until the backtest completes.

The news judge: your strategies know when the world changes

The pipeline does not stop when a strategy goes live. Every strategy carries explicit invalidation conditions from its thesis, and an AI news judge runs hourly against live campaigns. When fresh, relevant headlines confirm those conditions, the judge can conclude and settle the campaign — notifying the owner and everyone following it. News is not just how ideas start here; it is a live trigger condition that can end a campaign. You are alerted when the reason for the trade changes, not just when a price crosses a line.

Source citations remain essential to that loop. Generated analysis can summarize or connect facts incorrectly, and a cited source may update a story after the first headline. CommonQuant keeps the source connection visible on public breaking ideas: inspect the source, compare it with the generated thesis, examine the suggested symbols and rules, and decide whether the mapping is reasonable. A cited idea is more auditable than an unreferenced alert, but citation is not proof that the trading conclusion is correct.

Unlock and follow a news-based strategy

Signed-in users can use their available allowance to follow the canonical public strategy. They can review its instruments, rules, and backtest, then choose where its alerts arrive. Following does not create a separate strategy or automatically place a trade.

When a condition triggers, CommonQuant sends an in-app signal you can audit down to the rule that fired. Paid plans can add email and Telegram plus metered SMS and WhatsApp allowances. The alert says that a defined rule became true; it does not say the underlying news interpretation is guaranteed to play out.

A checklist for news-based trading ideas

First, confirm what actually happened and when. Second, identify whether the market had already anticipated the event. Third, check whether the selected ticker is a direct exposure or a proxy. Fourth, make the thesis falsifiable with entry, exit, and invalidation conditions. Finally, choose a timeframe that matches the expected speed of the market response.

Event-driven strategies face gaps, volatility, spread changes, revisions, and competing headlines. Rules and the news judge help you monitor consistently, but they cannot remove those risks. CommonQuant is not a brokerage, does not execute trades, and does not provide financial advice. Users decide whether and how to act through their own brokers.

  • Open the cited source and check for updates or corrections.
  • Separate the reported fact from the generated market interpretation.
  • Review every suggested symbol and its relationship to the event.
  • Know the idea’s invalidation conditions before subscribing to signals.

Public surfaces for fresh ideas

The public For You feed contains AI-researched theses and breaking-news ideas with symbols and source citations. The Atom feed at /feed.xml publishes the latest public ideas for readers and machines. Individual idea pages also have Markdown mirrors under /md/research/for-you/{id}, making the thesis and citations easier for answer engines to read and quote accurately.

This news hub is the category-level entry point: it combines the latest cached headlines with a durable explanation of the pipeline. For a specific claim, cite the individual idea and its original source. For a current list, use this page or the Atom feed rather than assuming an older headline is still the newest one.

Frequently asked questions

How does CommonQuant turn market news into trade ideas?

News is scored by AI for market significance; qualifying stories are researched into cited ideas with a summary, a thesis carrying explicit invalidation conditions, validated symbols, and compiled strategy variants that are backtested and stress-tested before they can go live — after which an hourly news judge keeps monitoring the thesis and can conclude the campaign when the news invalidates it.

Does every headline become a trading strategy?

No. Headlines are scored for significance and relevance, and only stories above the pipeline threshold enter the research pipeline and can become published breaking ideas.

What is the news judge?

An AI monitor that runs hourly against every live campaign, reading fresh market news against the campaign’s explicit invalidation conditions. When the news confirms invalidation, the judge can conclude and settle the campaign and notify its owner and followers — so news controls how live campaigns run, not just how ideas are found.

Can I follow a news-based strategy?

Yes. Signed-in users can unlock a public idea’s pre-generated strategy once, then follow its alerts without creating a duplicate. Published breaking ideas preserve the source name and article link so you can check the original reporting.

Does CommonQuant execute news-based trades?

No. CommonQuant researches, monitors, and sends signals. It is not a brokerage, and users make their own trading decisions.

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