The era ofVibe Tradingis here.
Trade the way you think.
Just as vibe coding let developers build software by describing what they want, Finquill lets you research and trade using natural language. No complex screeners. No endless tabs. Just ask.
Based on current analysis, NVDA leads with 89% AI revenue exposure. AMD shows strong datacenter momentum. AVGO benefits from networking demand. Key risk: inventory cycles in H2 2026.
What our AI builds for you, in seconds.
Ask any ticker, any thesis. The platform composes a custom surface — KPIs, bull/bear cases, comparable history — that you can interrogate, refine, save, or share.
Everything you need.
Nothing you don't.
Twelve integrated modules designed to work together seamlessly. Each one built from the ground up for AI-native workflows.
Dashboard
Command center with real-time market data, portfolio metrics, and AI signals.
Watchlist
Smart tracking with pattern alerts and institutional flow detection.
Journal
AI-analyzed trade journal that identifies your winning patterns.
Calendar
Earnings, dividends, and macro events with impact predictions.
Research
AI-generated reports, DCF models, and competitive analysis.
Media
Curated financial content from trusted sources, summarized by AI.
AIStudio
Conversational AI for research, analysis, and trade execution across all your data.
Wallet
Unified view across brokerages, crypto, and DeFi protocols.
Explore
Discover trending tickers, featured research, and top investor profiles.
Integrated research
environment.
Our intelligent RAG pipeline ingests SEC filings, earnings transcripts, news, and market data — then synthesizes it into actionable research you can query in natural language.
Multi-Source Ingestion
Continuously indexes SEC filings, earnings calls, analyst reports, and 1,200+ news feeds into a unified knowledge base.
Contextual Retrieval
Semantic search across your entire research corpus — ask a question and get answers grounded in real source documents.
AI Synthesis
Generates investment theses, competitive analyses, and risk assessments with full citation trails back to source material.
NVDA: data-center cap-ex sustainable through FY27
Hyperscaler capex guidance from MSFT, META, GOOG and AMZN points to a combined $310B of FY26 infrastructure spend[1], with the AI-accelerator portion holding above 38% of mix per Q3 transcripts[2].
Channel checks confirm Blackwell allocation tightness extending into Q2[3]. Risk: ASIC competition from MTIA & TPUv6 reduces 2027 ASP ~6–9%[4].
Research that
writes itself.
2026 Market Outlook: Navigating the AI Supercycle
Comprehensive analysis of how artificial intelligence is reshaping equity markets and creating new investment paradigms.
Semiconductor Supply Chain: Risk Assessment
Geopolitical risks and their impact on chip manufacturers through 2028.
Q2 2026 Tech Earnings: What to Watch
AI-synthesized preview of the upcoming earnings season.
Think like Buffett. Or Dalio. Or Munger.
Finquill started as a prompt library — years of engineered frameworks that let you run any question through the minds of the investors you learn from. Switch lenses by tag, or stack multiple frameworks on one query.
Screen the way Berkshire does — moat strength, owner earnings, returns on tangible capital.
Look past the consensus. What does everyone already know, and where is the non-obvious read?
Pressure-test portfolios against growth, inflation, and deflation regimes.
Simple story, growing earnings, boring industry — the ten-bagger pattern, systematized.
Defensive-investor criteria with today's data — quantitative, uncompromising.
Short-setup discipline: where is sentiment wrong and what's the catalyst to close the gap?
Build your own. Codify your investment philosophy as a reusable prompt once, then apply it to every new name you research.
Your context, routed to the right model.
Finquill enriches every query with your watchlist, economic calendar, and media feed — then picks the frontier model whose strengths fit the question. Different questions want different models.
Cross-portfolio implications of today's CPI print — reasoned through each of your names with their individual rate-sensitivity.
Side-by-side comparison of the last four filings for three names you're researching — all in a single context window, nothing summarized away.
Live sentiment pulse on the meme-adjacent names in your watchlist, with retail positioning and social chatter refreshed in real time.
Override the routing any time — pin the model you want, or swap mid-conversation if a query needs something different.
You decide which model touches your work.
Open-source for full data sovereignty. Frontier closed-source for max capability. Diffusion models when you want ten draft theses to compare in seconds. Your call, query by query.
Every major frontier model. Open and closed source.
Pin a specific model for a particular workflow. Default to the strongest available frontier for everything else. Switch mid-conversation if a query needs more horsepower.
Answers at the speed of thought.
We route to optimized inference compute (including Groq for ultra-low-latency models) so iterative research doesn't turn into a coffee break between every question. The faster the loop, the more questions you ask.
Managing client assets? Finquill has a dedicated advisor product — cited research, household-level portfolio reviews, and human-in-the-loop approval built for RIAs.