MLQ.ai
MLQ.ai is a market intelligence and research platform for tech investors. It pairs institutional-grade data on 50,000+ stocks and ETFs with Q, a conversational AI analyst that reads SEC filings, earnings transcripts and analyst estimates.
What is MLQ.ai?
MLQ.ai is a web-based market intelligence and research platform built for investors in technology companies. It comes from founder Peter Foy, who presents it as the research tool he first built for himself: having started studying machine learning and data science in 2017, he wanted to analyse today's AI companies the way early investors once analysed Amazon, Google and Microsoft. The stated goal is to make financial data accessible and use AI to improve the research process, so users can focus on building conviction instead of hunting for information. The editorial framing the site gives itself is venture capital in the public markets. Seven building blocks make up the product: Company Intelligence, Thematic Portfolios, AI Analyst, News & Market Alerts, Quarterly Earnings Reports, Deep Dive Research and Download & Export Data. Coverage claimed on the site reaches 30,000+ companies, 50,000+ global stocks and ETFs and 1,000+ institutional investors, with ten years of history on Premium and fifteen on Premium Plus. At the centre sits Q, the conversational AI analyst the site introduces as your research analyst. Q takes questions on earnings calls, filings and analyst estimates, and can chart financial series on request. Pre-built workflows cover Document Summarization, Financial Analysis (Earnings Call Review, IPO Analysis), Presentations (Pitch Deck Review, Investor Deck Feedback) and Transcripts, and users can drag and drop their own files for analysis. Underneath run live data streams: earnings call transcripts, SEC filings, insider trading, Congress trades, price targets and 13-F filings. A news feed aggregates 50+ sources under the AI, TECH, MARKET, STOCKS and EARNINGS categories. Charting is supplied by TradingView, equity data by Financial Modeling Prep. The featured sectors are Artificial Intelligence, Technology, Aerospace and Quantum Computing. MLQ also publishes a proprietary signal, the Q-Score, rating stocks buy, sell, hold or reduce from an algorithmic analysis of historical data and market conditions, with backtested performance. Deep Dives are signed by Peter Foy and carry reading times of eighteen to thirty-three minutes. The site states its own limits plainly: the signals rest on backtesting, and MLQ is neither a broker, a dealer nor a registered investment adviser.
What it does
- Ask Q, the built-in AI analyst, about a stock, an earnings call, an SEC filing or an analyst estimate
- Track SEC filings, 13-F filings, insider transactions and Congress trades as they land
- Read structured quarterly earnings reports combining financial metrics with a review of the earnings call
- Screen stocks and follow them through a personal watchlist
- Browse the sector and company Deep Dive research published by MLQ
- Export data and financials to a spreadsheet or to a third-party LLM
- Follow the earnings, dividend and economic calendars
When to use MLQ.ai / When not to
A quick filter to help you decide if MLQ.ai is the right fit.
When to use MLQ.ai
- Individual investors and analysts who do their own research on technology stocks
- Professional investors and portfolio managers tracking institutional holdings and insider activity
- Equity analysts who need SEC filings, earnings call transcripts and analyst estimates gathered in one place
- Thematic investors following artificial intelligence, technology, aerospace and quantum computing
- Researchers and data journalists who export financial data into a spreadsheet or a third-party LLM
When not to use MLQ.ai
- Speculative traders chasing meme stocks rather than building a research case
- Passive index fund holders content to hold and wait for market-average returns
- Anyone expecting personalised advice: MLQ is not operated by a broker, a dealer or a registered investment adviser
- Developers who need a documented public API, since data can only be exported by hand
- Non-English speakers and under-18s, as the platform is English-only and the terms set a minimum age of eighteen
How to use MLQ.ai
A typical end-to-end flow, from setup to results.
- Open the platform in a browser: MLQ.ai is a web app, so there is nothing to install
- Create the free account required to keep accessing the data, through Get Started or Sign Up Free
- Log in and find your way around the five sections: Stocks, News, Research, Chat and Tools
- Type a company name or a ticker to pull up its financials, filings and transcripts
- Open the AI analyst and either ask your own question or start from one of the suggested prompts, such as the key contracts from Palantir's Q4 2024 earnings call, NVIDIA's 12-month price targets and revenue forecasts, or Meta's three-year income statement trends
- Select a pre-built workflow before asking, for instance Document Summarization, Earnings Call Review, IPO Analysis or Pitch Deck Review
- Drag and drop your own documents into the chat, or click to upload them, for the AI to work through
- Build a watchlist, screen stocks and follow the earnings, dividend and economic calendars
- Watch the free quota: once it is used up the app displays a message saying you have reached the free limit and invites you to upgrade for unlimited access
- Subscribe from the pricing page through Stripe, and cancel at any time if the tool does not earn its place
Pros & Cons
Pros
- Broad coverage gathered in one place: 50,000+ stocks and ETFs, 1,000+ institutional investors and 50+ news sources
- Quantitative and qualitative research side by side, with financials, transcripts and filings on the same screen
- The AI analyst sits directly on top of the data, so questions get answered without switching tools
- A permanent free plan makes it possible to judge the product before paying, and paid subscriptions run through Stripe with cancellation at any time
- Data and financials can be exported to a spreadsheet or a third-party LLM for work done elsewhere
- Professional-grade charting supplied by TradingView
- Editorial research is signed, dated and shown with its reading time, and Deep Dives are presented as analysis rather than buy recommendations
Cons
- No mention of the GDPR anywhere on the site, no data processing agreement, no Article 27 representative and no data protection officer
- No postal address and no incorporated legal entity published, with a single contact channel, support@mlq.ai, itself hidden behind Cloudflare obfuscation
- No published commitment as to where customer data is hosted
- Retention is announced as indefinite for accounts, newsletter subscribers and buyers
- The privacy policy is the one attached to the Ghost blog and covers the application in only a short section
- The refund guarantee is inconsistent: 30 days in the terms of service against 14 days on the pricing page
- No public API, no iOS or Android app, and an interface and content available in English only
Pricing & Plans
MLQ.ai operates on a freemium basis. A permanent free plan is available, subject to a usage quota beyond which the platform prompts an upgrade. The lowest paid entry point is the Premium tier at USD 29 per month, with Premium Plus at USD 99 per month. Both may be billed monthly or annually, annual billing being advertised as a 20% saving, or three or more months free, although the exact annual amount is not displayed. Payment is handled by Stripe and subscriptions may be cancelled at any time. The money-back guarantee is stated as 14 days on the pricing page and as 30 days on the last invoice in the terms of service; refunds are processed within 7 to 10 business days. Team and enterprise arrangements are quoted on request by email.
- a free account is required to keep accessing the data
- with a limited usage quota
- 1
- 000 credits a month
- 10 years of history
- research and earnings reports
- 50
- 000+ stocks and ETFs
- AI Stock Analyst and Chat
- financial statements and metrics
- everything in Premium plus 5
- 000 credits a month
- 15 years of history and SEC Filing AI Analysis
- no public price
- with custom data and team features quoted on request by email
Data, GDPR & hosting
A consolidated view of how MLQ.ai handles your data.
GDPR overview
The words GDPR and General Data Protection Regulation appear nowhere on MLQ's published pages: not in the privacy policy, not in the terms of service, not in the disclaimer. There is no Article 27 EU representative, no named data protection officer and no data processing agreement offered. What the privacy policy does grant, in practice rather than by reference to European law, is an exported file of the personal data held, erasure on request except where data must be kept for administrative, legal or security reasons, and unsubscribe from marketing emails. Privacy questions go to a single address, support@mlq.ai. The terms place the relationship under the laws of Ontario and the federal laws of Canada, with exclusive jurisdiction in Ontario and arbitration under the Arbitration Act of Ontario. COPPA compliance is claimed: the site is closed to under-18s.
Who owns the data?
Nothing in MLQ's published policies claims ownership of the data or of the documents a user uploads to the AI analyst, and no clause transfers those files to the company. Registered users keep hold of their profile: they can see, edit or delete their personal information at any time, the username excepted. Site administrators can also see and edit that same information. Users may request an exported file of the personal data held about them and ask for it to be erased, except where MLQ must keep it for administrative, legal or security reasons. The content published on the site itself, by contrast, remains MLQ's copyrighted property.
Reuse rights
Reuse by the end user is deliberately narrow. The terms confine the site's content to your own personal, non-commercial use: modifying it, or using it for any other purpose, is described as a violation of MLQ's copyright and other proprietary rights, so redistribution, resale or publication requires permission. Within that limit, subscribers may download and export data and financials to a spreadsheet or to a third-party LLM for their own analysis. On MLQ's side, the privacy policy publishes a good-faith list of the services data is shared with, directly or automatically: AWS for hosting, Facebook Pixel, Google Analytics and Convertkit. Data may also be shared with MLQ employees or contractors, such as accountants and lawyers, where legal, financial or related obligations require it. Ezoic Inc. handles third-party targeted advertising through cookies, tags, beacons and pixels, collecting IP address, operating system, device type, language, browser and a hashed or encrypted email address. Signing up for the MLQ app counts as consent to account and content emails, with unsubscribe available at any time, and embedded content from other sites behaves as if you had visited those sites. Nowhere does the site mention training AI models on customer data.
Data retention & training
Hosting summary
What MLQ publishes about hosting is thin, and it concerns the blog rather than the application. The privacy policy states that the website is hosted with AWS and refers readers to Amazon's own terms of service; it adds that a visitor's IP address may be logged on each visit, to help detect errors and attacks. That is the whole of it. No hosting country and no region is named anywhere on the site, and there is no published commitment as to where customer data, uploaded documents or AI conversations are stored and processed. The AWS reference itself sits in a policy written for the Ghost blog, not on a page dedicated to the platform. On the network side, the domain is served behind Cloudflare on an anycast address (104.26.11.89), which routes traffic through the nearest edge node and says nothing about where data actually lives. Anyone with a data residency requirement will have to ask support directly, since the site gives no answer.
Things to keep in mind
Risks and trade-offs to weigh before adopting MLQ.ai.
- The content is not investment advice: MLQ is not operated by a broker, a dealer or a registered investment adviser, and its liability is capped at the amount you paid over the previous six months
- Q-Score signals rest on backtesting, which the site itself describes as having inherent limitations and as being developed with the benefit of hindsight
- Results are presented before fees, transaction costs and taxes, with no cash balance and no dividend reinvestment, so real-world outcomes will differ
- The data comes from third parties and is guaranteed neither accurate nor complete: a wrong figure restated confidently by an AI is still a wrong figure
- The terms ask you to assume that any link on the site may be a paid affiliate link, which can shape what gets highlighted
- Personal data is kept indefinitely for accounts, newsletter subscribers and buyers, Ezoic runs third-party targeted advertising through cookies, and no GDPR guarantee is offered to European users
- Leaning on the AI analyst for judgement rather than for retrieval quietly erodes the habit of reading a filing or a transcript yourself, which is precisely what makes a conviction defensible
Setup & Integrations
Technical difficulty
Very low. MLQ.ai is a web application: nothing to install, nothing to configure, no API key to generate. A free account is required to keep accessing the data, and that is the only setup step. The interface guides newcomers with suggested starter prompts and pre-built analysis workflows, so the AI analyst can be used with no prompt-writing experience. The real prerequisite is financial rather than technical: getting value out of the platform assumes you can read financial statements, earnings transcripts and SEC filings, and know what you are looking for in them.
Deployment
Integrations
Supported languages
Behind MLQ.ai
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Is there a free plan?
How much does a subscription cost?
What is the difference between Premium and Premium Plus?
Who is Q?
Can I upload my own documents?
Where does the data come from?
Is there an API or a mobile app?
Is MLQ.ai investment advice?
Can I get a refund?
Who can sign up, and which law governs the service?
Should you pick MLQ.ai?
MLQ.ai is a research instrument, not an execution one: nothing is traded on the platform, no order is placed, no portfolio is managed. It is a place to look things up and to put questions to the data. The differentiator is the combination of three things that usually sit apart: institutional-grade data covering 50,000+ stocks and ETFs, SEC and 13-F filings, insider and Congress trades and earnings transcripts; an AI analyst working directly on top of that data; and signed editorial research focused on the technology theme. For someone who follows artificial intelligence, aerospace or quantum computing and does their own analysis, having all three in one window saves real time. The weak points lie elsewhere. On coverage and research ergonomics the platform is solid. On corporate transparency and European compliance it is thin: no postal address, no incorporated entity named, one support email, no published commitment on where customer data is stored, retention described as indefinite, and not one mention of the GDPR anywhere on the site. The refund promise reads 14 days on the pricing page and 30 days in the terms. European buyers should weigh that before subscribing. The product also asks something of its user. Q-Score signals are backtested, and MLQ says so itself; the company is neither broker, dealer nor registered adviser; the research is written to inform a decision, not to make it. Anyone hoping for calls to follow will be disappointed. Anyone wanting to build their own conviction will find the raw material unusually well organised. Judging it costs nothing, which helps: the free plan is permanent, the paid tiers start at USD 29 per month, and a subscription can be cancelled at any time. Test it against your own research routine before deciding what, if anything, it replaces.
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