Use cases
Know why the market moved. Start with the explanation.
MarketReader identifies the information most likely to be driving a market move and turns it into a clear, structured explanation.
Use it to add market context to wealth and investment platforms, ground financial AI answers, support trade-surveillance investigations or accelerate market research.
Choose your use case
Wealth & Investment Platforms
For wealth platforms, brokers, portfolio applications and adviser technology that want to put the explanation next to the price.
AI assistants
For AI product teams that need a faster, more consistent first source for questions about why an asset or market is moving.
Trade Surveillance
For financial institutions and surveillance technology providers that need to reconstruct the public market context around a flagged trade.
Wealth Advisors
For wealth professionals and market-intelligence teams that want to answer "why did this move?" without rebuilding the story from disconnected sources.
Market explanations for wealth and investment platforms
WHO IS IT FOR
Wealth-management platforms, brokers, portfolio applications, adviser technology, market-data products and investment platforms.
WHAT THE USE CASE IS
Add an explanation of why an asset moved to the product surfaces where clients, advisers or investors already see the price.
Why platform teams care
A client sees that a holding is down 7%. A watchlist asset has jumped. A notification says that something unusual happened. Their next question is immediate: why?
If the answer is not in the platform, the user leaves to search elsewhere. A list of headlines may still leave them to decide which story matters and how it connects to the price action.
The desired outcome
- Add "why it moved" explanations to quote and portfolio pages.
- Add market context to watchlists, alerts and push notifications.
- Help users understand unfamiliar assets with rolling 30-day summaries.
- Explain when broader macro or cross-asset factors are driving holdings.
- Deliver content through an API, embedded experience or white-labelled interface.
Put the explanation next to the price, inside the product your audience already uses.
Market grounding for AI assistants
WHO IS IT FOR
Investment apps, broker chatbots, financial copilots, wealth-management assistants and teams building AI products for financial markets.
WHAT THE USE CASE IS
Give an AI assistant pre-computed market analysis as its first source for questions about why an asset or market is moving.
Why AI product teams care
When a user asks, "Why is this stock down today?" a general-purpose AI may need to search several sources, ingest large amounts of information, check market data and decide what matters before it can answer.
Repeating that work for each question adds retrieval time, token usage, compute and variability.
The desired outcome
- Improve the time to a useful market answer.
- Reduce repeated retrieval and unnecessary context ingestion.
- Significantly lower the token and compute required to reconstruct the basic market story.
- Improve consistency across similar questions.
- Ground answers in structured analysis built from licensed financial news and market data.
MarketReader connects through the API. Your interface and assistant stay yours; MarketReader supplies the market explanation.
Trade-surveillance investigation support
WHO IS IT FOR
Trade-surveillance teams at financial institutions and surveillance technology providers.
WHAT THE USE CASE IS
Use MarketReader to reconstruct what was happening in the market around a flagged trade, including the observed price action and the public information identified as relevant at the time.
Why trade surveillance teams care
A surveillance alert starts an investigation. It does not explain whether the asset was already reacting to a company announcement, a macro event, a sector move or another public catalyst.
Finding that context manually can mean searching news archives, market data, company announcements and related asset moves for every alert. At scale, the real cost is investigator time.
The desired outcome
- Triage alerts with faster access to historical market context.
- Identify reasonable public explanations for market activity.
- Spend less time searching across disconnected archives.
- Focus deeper review on the alerts that need it.
- Use MarketReader directly or bring its analysis into an existing surveillance workflow through the API.
MarketReader supports investigation and triage. It does not replace compliance judgment or determine whether a trade is legitimate.
Wealth Advisors
WHO IS IT FOR
Research teams, asset managers, market-intelligence teams, trading desks and financial-content platforms.
WHAT THE USE CASE IS
Start research with a structured explanation of the likely drivers behind a current or recent market move.
Why research teams care
Answering "why did this move?" can require checking price action, company news, macro events, social activity and related markets. The work takes longer when the asset is unfamiliar or the question concerns a move from several weeks ago.
The desired outcome
- Review current move attribution.
- See whether a move appears company-specific, sector-driven, macro-driven or connected to another asset class.
- Use rolling 30-day summaries to understand recent catalyst history.
- Get up to speed on unfamiliar assets more quickly.
- Decide where deeper research is needed without starting from zero.
Why MarketReader is different from a news feed or open-ended AI search
01
It starts with the move
MarketReader begins with observed price action, then asks which information is most likely to explain it.
02
It gathers and validates the evidence
The system analyses licensed financial news, structured market data, macroeconomic events, social activity and cross-asset relationships. Proprietary models and deterministic decision logic help identify which evidence deserves the most weight.
03
Analysis happens before AI writes the explanation
MarketReader completes the analysis first, then uses AI to present the validated findings clearly. This improves consistency and reduces the risk of unsupported conclusions associated with open-ended search.
Enterprise market intelligence,
ready for your workflow
Over 20000 securities in the coverage universe.
Approximately 8,000 assets covered on an average day.
Multilingual API output.
US equities, ETFs, macro markets, FX, commodities, indices, crypto and approximately 2,200 ADRs.
API, embedded and white-labelled delivery options.
Headlines, short summaries, detailed explanations and rolling 30-day overviews.
MarketReader is optimised for US-listed markets. It explains observed market moves; it does not predict what markets will do next or provide investment advice.
Show us where your team needs the answer to "why?"
Bring us a market question, a flagged-trade workflow or a product surface. We will show you how MarketReader can deliver the explanation inside the process your team already uses.
FAQs
How can MarketReader support trade surveillance?
MarketReader helps investigators reconstruct the public market context around a flagged trade. It can surface the price action and relevant market information from the period under review, supporting faster alert triage and more focused investigation.
How does MarketReader work with AI assistants and financial chatbots?
MarketReader provides pre-computed market analysis through an API. An AI assistant can use it as a structured first source instead of starting every market question with a new open-ended search.
How can wealth and investment platforms use MarketReader?
Platforms can place MarketReader explanations on quote pages, portfolio pages and watchlists, or add them to alerts and notifications. Rolling 30-day summaries can also help users understand recent asset history.
Does MarketReader predict market movements or provide investment advice?
No. MarketReader explains observed market movements. It does not predict what markets will do next, provide trading signals or recommend investments.
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Market intelligence that explains why markets move.
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MarketReader provides Al-driven market intelligence and analysis for informational purposes only. Nothing on this site constitutes investment advice, a recommendation, or an offer or solicitation to buy or sell any security or financial instrument. Market data may be delayed. Past performance is not indicative of future results.
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