MLQ.ai

Description
🖼️ Tool Name:
MLQ.ai
🔖 Tool Category:
AI-powered investment research & market intelligence platform; fits under Finance Tools, Investment Research, Data & Analytics.
✏️ What does this tool offer?
Provides market-moving news, research, and data feeds specially focused on AI-related companies and broader tech / equity markets.
Features include an AI Analyst tool, stock screeners, dashboards for equities and crypto, financial statements, financial ratios, on-chain analysis, earnings calendars, and more.
Access to regulatory & institutional data: SEC filings, insider trading (executives / institutions), 13-F filings, etc.
⭐ What does the tool actually deliver based on user experience?
• Helps investors stay up-to-date with “deep dives” and summaries of earnings reports & filings, reducing time spent reading raw documents.
• Provides dashboards & actionable insights (e.g. which stocks or crypto look interesting now, alerts, etc.) for users of varying experience levels.
• Combines both fundamental and quantitative data (financial ratios, statements) with sentiment / news / institutional data (insider trades, 13-F filings) so you get a richer view.
🤖 Does it include automation?
Yes — several automated features:
Automated gathering & updating of financial data, filings, insider / institutional data.
Alerts / notifications for earnings calendar, dividend calendar, economic calendar, etc.
Some AI-analysis tools: “AI Analyst” module where you can query insights or see summaries.
💰 Pricing Model:
Freemium model: basic access is free; premium subscription unlocks more of the advanced tools/data.
There is a trial period / free-tier limits.
🆓 Free Plan Details:
Users can typically access some dashboards / stock screener / news and lighter versions of tools without paying.
💳 Paid Plan Details:
Paid subscription unlocks full access to all premium tools, more data feeds, more frequent updates, advanced analytics, etc.
🧭 Access Method:
Web app via MLQ.ai website.
Users sign up, build watchlists, read research, use charts, etc.
🔗 Experience Link: