AI stock analysis

    AI stock analysis should explain the market, not obscure it.

    Stoky turns SEC filings, earnings calls, and market signals into source-grounded stock research that users can listen to, inspect, and question directly.

    Most AI tools for stock research produce summaries that are hard to verify. Stoky is built differently: every analysis is tied to primary sources — the actual filing text, the earnings call transcript, the company announcement — so users can follow the reasoning rather than just accept a conclusion. The goal is to help investors, analysts, and operators understand what actually changed, what it means for the investment case, and where to look next, without requiring hours of reading.

    Built on primary sources

    Stoky starts with SEC filings, earnings call transcripts, and company-specific events rather than aggregated news or second-hand commentary. This gives users a direct path from source material to narrative interpretation, which makes the analysis easier to trust, challenge, and build on. When a claim matters, the underlying text is close enough to inspect immediately.

    Narrative plus verification

    Each story presents the market analysis first in a clear, listenable format, then keeps the transcript, supporting excerpts, and citations nearby so users can verify why an interpretation was made. This two-layer approach — narrative on top, source grounding underneath — is designed for people who want to move fast without losing the ability to check the details when it counts.

    Designed for how investors actually work

    Stoky is built around real investor workflows: tracking what changed in a quarterly report, understanding guidance shifts after an earnings call, following sector developments, and checking how one company's results affect related positions. The product is structured around those specific questions rather than a generic search or chat interface that requires users to know what to ask.

    Useful on a phone

    Audio briefings, chapter navigation, and follow-up chat make the analysis practical for users who want to follow companies while commuting, reviewing a portfolio, or doing something else at the same time. The mobile-first design means the information reaches users when they need it, not just when they are sitting at a desk with time to read a full research report.

    Deep agents, not keyword search

    Stoky's deep agents do not simply retrieve documents that match a keyword. They follow a question through multiple reasoning steps, connect related events across companies and sectors, track context over time, and keep every answer grounded in evidence. This is different from a chatbot that generates a response without showing the reasoning path.

    Broad market or deep focus

    Users can follow the overall market story — sector trends, macro signals, index-moving events — or go deep on a single company through its filings, calls, analyst commentary, and historical context. The product adapts to users who want a daily briefing across their watchlist and to users who want to research one name thoroughly before making a decision.

    Frequently asked questions

    What type of investor is Stoky built for?

    Stoky is built for retail investors, self-directed traders, analysts, founders, and operators who need to track public companies seriously but do not have time to read every filing, transcript, and article manually. It works well for people who follow a specific watchlist closely, people who track broader sector themes, and people who want to understand what drove a market move the same day it happened.

    Does Stoky replace financial advisors or trading platforms?

    No. Stoky provides educational analysis and market intelligence, not investment advice or trade execution. It is designed to complement what users already do — helping them understand the information landscape around a company or sector — not to replace the judgment of a financial professional or the functionality of a brokerage account.

    How is Stoky's AI analysis different from a chatbot or LLM news summary?

    A generic chatbot or LLM summary generates a response based on pattern matching without always citing its source or showing its reasoning path. Stoky's deep agents are designed specifically for financial intelligence: they work from primary documents (filings, transcripts, announcements), surface the specific passages that support each claim, and keep the source grounding visible so users can inspect and challenge the output. The result is analysis that is harder to hallucinate because the evidence has to be present.

    Is Stoky free to use?

    Stoky is free to use during the current preview period. No credit card is required to get started. The app is available on iOS and Android.