Half the research is already done.
Price history, balance-sheet quality, upcoming events, insider and fund moves, market phase: all in one place, updated daily, instead of scattered across ten tabs.
Signalnomics gathers the research you'd otherwise assemble from ten browser tabs: price and fundamental data, upcoming events, ownership moves, market phase. The result is a traceable assessment, with visible sources, a visible counterargument, and an honest note on how complete the data actually is.
Research draft. Not investment advice. No trade recommendation.
Most tools show you numbers. Signalnomics answers the question that comes next: why might this matter, and what argues against it?
Price history, balance-sheet quality, upcoming events, insider and fund moves, market phase: all in one place, updated daily, instead of scattered across ten tabs.
Every assessment comes with its counterargument and a note on how solid the data is. If something is missing, it says so, instead of guessing.
We measure our own assessments and publish the failures too. Rejected hypotheses stay public. Nobody else does that.
The flow is deliberately plain: pick an instrument, read the assessment, go deeper if you want and record your own decision.
Equity, index, currency pair, commodity or crypto, via search or from your watchlist.
One plain sentence, a score with confidence, and a data-coverage grade from A to E. The grade rates how well we can see the instrument, not how good it is.
One click opens the evidence: individual factors, balance-sheet checklists, events, ownership moves. Every number with source and date.
Note hypothesis, trigger, invalidation and risk. Later the system measures what came of it.
Honestly labelled: “Live” is running, “Planned” is still coming. Nothing here that doesn't exist.
Equities from the US, Germany, UK, Hong Kong, China and Sweden, plus indices, currencies, commodities and crypto, with keyless US regulatory filings going back ten years.
Read detailsAgricultural and energy supply data, weather for global growing regions, futures-market positioning, plus rate and macro phase including curve-implied expectations.
Read detailsWhere money is flowing, where a business improves before the price does, and where capital rotates between sectors. Three views that must confirm each other.
Read detailsSix checklists on balance-sheet quality, distress risk and earnings quality. Every rule is visible individually, each with an honest “not applicable” instead of a fake verdict.
Read detailsClinical trials, government contracts, regulatory milestones and index events. When an all-or-nothing date approaches, the system automatically lowers its own confidence.
Read detailsInsider filings, five-percent beneficial-ownership disclosures, positions of notable funds and off-exchange volume. Each with its reporting delay visible.
Read detailsFind candidates by pattern, scan the broad market sector by sector, or get comparable companies for any name.
Read detailsEvery assessment is stored and measured later, over 5 to 252 days, split by bull and bear phase. Including when the result is uncomfortable.
Read detailsNew patterns are pre-registered, corrected for lucky hits and judged when they mature. The public graveyard of rejected hypotheses is part of the product.
Read detailsConsensus estimates and their revision direction as pure context. Shown as somebody else's expectation, never as our recommendation.
Read detailsImplied volatility, open interest and skew as descriptive market context for indices, ETFs and commodity ETFs.
Read detailsResearch notes with trigger and invalidation, a nightly briefing including an honest list of gaps, and a copilot that answers questions from stored results, with citations.
Read detailsOne switch decides how much you see: a sentence, a score, a data-coverage grade or the full evidence.
Read detailsRoles and plans, audit logging, data export, monitoring and nightly pipelines. The invisible half of a product people are meant to pay for.
Read detailsThe order is the whole point: numbers come from traceable rules. Language comes afterwards, it explains the result, it doesn't create it.
Every factor is a disclosed formula with named thresholds. No hidden model nobody can check.
Fact, delayed fact, derived signal, inference or marketing claim, each figure carries its origin visibly.
Patterns are pre-registered and evaluated afterwards, corrected for lucky hits. Whatever fails stays publicly listed as rejected.
The build follows a deliberate order: data first, then factors, then assessment, then access.
Signalnomics is built for people who want to check market ideas themselves, not for quick tips. If that sounds like you, get in touch.
Signalnomics does not provide investment advice, portfolio management, brokerage or execution services, and is not an invitation to buy or sell financial instruments.