Edge Hound
Edge Hound is an agentic AI layer for capital markets that turns market data, filings and news into explainable trade ideas with entry, stop and target. Available as a consumer app, embeddable widgets or an API.
What is Edge Hound?
Edge Hound describes itself as the decision intelligence layer for capital markets. It is published by Axion Edge Ltd., a Bulgarian company based in Varna, and it exists in two forms that share a single engine: a consumer application for self-directed investors, and an embeddable layer sold to brokers, neobanks, trading platforms, banks and wealth platforms. Its pitch is a criticism of the category. Broker analytics, the company argues, was designed in 2004 around chart patterns, technical signals and news feeds, and the AI assistants recently bolted on top are chat layers over that same architecture. Traders do not need more data, they need to know what to do with it. Edge Hound therefore claims to replace the analyst function rather than augment it. Technically it presents a multi-agent system rather than a single model: specialised agents for research, macro, earnings, risk and sentiment each examine one angle, then converge on a decision. The declared inputs are real-time market data, regulatory filings, earnings calls, news, sentiment and macro indicators. The characteristic output is a trade idea carrying a full thesis, its drivers, a conviction level and explicit entry, stop and target levels, in bullish, bearish or mean-reversion form. For individuals, four blocks make up the product: Trade Ideas, a distilled news and filings feed tagged by theme and impact, a Sentiment Analyst scoring assets and sectors in real time, and a conversational AI Analyst. Coverage spans stocks, forex and commodities, while ETFs and crypto are marked as coming. An iOS application is published, the web application runs on its own subdomain, and a Discord community is open to every plan including the free one. For institutions, the same capabilities ship as brandable widgets, integrated as an iFrame or a web component, or through the Edge Hound Data Feed API under a commercial order form. The company advertises audit trails, model governance, content controls and a closed AI architecture for regulated markets, though it names no certification. Its team is presented by name, with claimed PhDs in mathematics and nuclear physics alongside trading operators and product engineers.
What it does
- Generate trade ideas with a full thesis, drivers, conviction, entry, stop and target
- Track a live idea's progress against its target
- Summarise news, filings, earnings calls and social chatter across a watchlist
- Score market sentiment per asset and per sector, in real time and over history
- Question a conversational AI analyst about a stock, a sector, an event or a strategy
- Embed branded trade idea, analyst, sentiment and screener widgets in a third-party product
- Consume the whole layer programmatically through the Data Feed API
When to use Edge Hound / When not to
A quick filter to help you decide if Edge Hound is the right fit.
When to use Edge Hound
- Self-directed retail investors who want a documented thesis behind each idea rather than a bare signal
- CFD brokers, neobanks and trading platforms looking to embed branded research widgets instead of building them
- Wealth platforms, advisory desks and private banks equipping every adviser with research-desk output
- Hedge funds, asset managers and prop desks wanting a programmable agentic layer behind their own strategies
- Sell-side and equity research teams automating earnings analysis, sector work and screening at scale
When not to use Edge Hound
- Anyone under 18, who is barred by both the terms and the privacy policy
- Investors seeking regulated financial advice, since the publisher states its output is informational only
- Traders focused on bonds, ETFs or crypto, as ETF and crypto coverage is still only announced
- Teams that require a named security certification or a data processing agreement before signing
- Users unwilling to let their inputs and outputs feed model training, for which no opt-out is documented
How to use Edge Hound
A typical end-to-end flow, from setup to results.
- Create a free account on the web application, with no card required
- Build a watchlist of the stocks, forex pairs or commodities you follow
- Read the trade ideas generated for those assets, each with thesis, drivers, conviction, entry, stop and target
- Follow a live idea as it progresses towards its target
- Scan the distilled news, filings and earnings feed, tagged by theme and impact
- Read sentiment scores per asset and per sector, and compare them against historical trends
- Ask the Discovery bot for a deep dive on an asset, a sector or a macro event
- Start the seven-day free trial if the monthly quotas of the free plan become tight
- Manage or cancel the subscription from account settings, or by email from the registered address
- Institutions request a demo through the form, then discuss widget or API integration
Pros & Cons
Pros
- Fully identifiable publisher, with legal name, company number, registered address and telephone all published
- Three separate and dated legal documents covering the service, privacy and the API
- Public, itemised pricing with explicit per-plan quotas
- A permanent free plan that is genuinely usable, plus a seven-day trial on paid tiers
- A fourteen-day right of withdrawal with pro-rata refund, beyond the strict minimum
- EU-established publisher, with personal data processing announced as EU-only
- Explainable output by design, every idea shipping with its thesis and drivers rather than a bare signal
Cons
- Inputs and outputs feed the publisher's own model training, with no documented opt-out
- No named security certification despite institutional-grade positioning, and a trust centre that needs JavaScript to read
- No data processing agreement mentioned, and a subprocessor list that is illustrative rather than exhaustive
- Performance claims such as beating buy-and-hold come with no published methodology
- Traction counters on the company page are JavaScript animations and read as zero in the page itself
- No public API documentation, access running through a commercial order form
- No Android application, no announced interface language beyond English, and a rating resting on seventeen reviews
Pricing & Plans
Edge Hound operates on a freemium basis. A permanent free plan is available at no cost, and the cheapest paid entry point is the Basic plan, displayed at USD 9.99 per month against a struck-through USD 11.99. The Standard plan is displayed at USD 49.99 per month against USD 59.99. A monthly and annual toggle advertises a twenty percent saving on annual commitment, and institutional pricing is quoted individually. Paid plans open with a seven-day free trial, and a fourteen-day right of withdrawal with pro-rata refund applies from the conclusion of the contract.
- 1 watchlist
- 10 trade ideas per month
- 3 Discovery bot chats per month
- 1 week of history
- 1 week of upcoming corporate events
- 10 watchlists
- 50 trade ideas
- 50 fundamental analyses and 50 Discovery bot chats per month
- 1 month of history
- unlimited upcoming corporate events
- 100 watchlists
- 150 trade ideas
- 250 fundamental analyses and 300 Discovery bot chats per month
- 6 months of history
- unlimited upcoming corporate events
- tailored licensing
- flexible terms and pricing built with the sales team
Data, GDPR & hosting
A consolidated view of how Edge Hound handles your data.
GDPR overview
Edge Hound claims GDPR compliance explicitly rather than by implication. Its privacy policy, effective 16 June 2026, cites Regulation (EU) 2016/679 and the Bulgarian Personal Data Protection Act by name and sets out eight processing principles, with Axion Edge OOD identified as controller. EU users are offered the full catalogue of rights: access, rectification, erasure, portability, restriction, withdrawal of consent, objection, and protection against decisions based solely on automated processing. Access, correction, deletion and marketing opt-out are extended to every user regardless of location. Because the publisher is established in Bulgaria, no Article 27 representative is required and none is named. Complaints may be lodged with the supervisory authority of the user's member state, or with the Bulgarian Commission for Personal Data Protection. Requests go to the published GDPR address.
Who owns the data?
Axion Edge retains exclusive ownership of the service and every intellectual property right attached to it; the software is licensed, never sold, and the user receives only a limited, non-transferable right of access. Everything a user submits and everything the platform returns are bundled into a single contractual term, Content. Over that Content the company grants itself a worldwide licence with no limit of time, scope or manner, covering the operation and improvement of the service and, explicitly, the training of its own AI models. Axion Edge OOD is also named as the controller of personal data. Users, for their part, may not scrape the platform or reuse its output to train third-party models.
Reuse rights
End users may act on what Edge Hound produces, but they acquire no transferable right over it. The terms grant a limited, non-exclusive, non-sublicensable and non-transferable licence to access and use the service, and reserve every right not expressly granted. Reuse is fenced in two directions: automated extraction, scraping, data mining and any script-driven collection are prohibited, and data obtained from the platform may not be used to train large language or machine learning models, whether commercially or not. The publisher also warns that outputs are not unique and that other users may receive similar ones, so no exclusivity attaches to a given trade idea. On the business side, redistribution through the Data Feed API is contractual and carries a mandatory attribution, namely the provider's logo and a backlink that the client may not hide.
Data retention & training
Hosting summary
The privacy policy states that personal data is generally processed inside the European Union and is not transferred outside it. Where a transfer does occur, the publisher commits to relying on a European Commission adequacy decision or on standard contractual clauses approved by the Commission. No hosting country is named and no technical region is specified beyond that EU statement. Amazon is cited as a cloud provider without a region, alongside PayPal and Stripe for payments and Clerk for user management, in what reads as an illustrative list rather than a formal register of subprocessors. On safeguards, the policy lists a secure server location, data encryption, logged access and role-based access, and says the data is handled only by authorised personnel. No hosting certification is published, and the trust centre linked in the footer runs on JavaScript, so its contents could not be verified. The publisher itself is established in Varna, Bulgaria, which places the controller squarely within EU jurisdiction.
Things to keep in mind
Risks and trade-offs to weigh before adopting Edge Hound.
- This is a financial tool and never advice: every decision, and every loss, remains the user's own
- The publisher's own risk banner states that roughly seventy percent of traders end up losing money
- Outputs may be inaccurate and are neither generated nor reviewed by a human, and the terms warn against treating them as a sole source of truth
- Delegating research to an agent can erode the habit of forming an independent thesis, something the platform's own reviewers advise against
- Inputs and outputs are contractually available for training the publisher's models, with no documented way to opt out
- Performance and traction claims rest on no published methodology, and the company page counters cannot be read without JavaScript
- Institutional-grade security language is not matched by any named certification or published audit
Setup & Integrations
Technical difficulty
Very low for individuals: nothing to install, free sign-up with no card required, and an iOS application alongside the web app. Moderate for a platform embedding the product, since the widgets ship as an iFrame or a web component and the publisher claims integration in days rather than months. Higher for API use, though less for technical reasons than procedural ones: the Data Feed API is governed by an order form, imposes a visible logo and backlink attribution, and offers no public documentation to evaluate before signing.
Deployment
Apps stores
Behind Edge Hound
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Is Edge Hound financial advice?
Is there a free plan, and what does it include?
How much does the cheapest paid plan cost?
Can I get a refund?
Is my data used to train the AI?
Where is my personal data processed?
Which assets and platforms are covered?
Who publishes Edge Hound, and is there an API?
Should you pick Edge Hound?
Edge Hound is a real, documented product rather than a landing page with a waiting list. The publisher is fully identifiable, with a legal name, a company number, a registered address in Varna and a published phone number. Three separate legal documents govern the service, the pricing grid is public and itemised down to per-plan quotas, an iOS application is live, and the web application answers on its own subdomain. On that evidence the tool clears the bar that many AI listings fail. The reservations lie elsewhere, and they are worth weighing. Edge Hound speaks the language of institutional infrastructure, invoking audit trails, model governance and content controls, yet names no security certification, offers no data processing agreement, and publishes only an illustrative list of the providers that handle user data. Its performance claims are the weakest link: beating buy-and-hold and delivering measurable alpha are asserted without any published methodology or period, and the traction counters on the company page are JavaScript animations that read as zero in the underlying page. The contractual position on data also deserves attention, since inputs and outputs are available for training the publisher's own models with no documented way to opt out. Prospective users should read the tool for what it demonstrably is: a research and idea generation layer that shows its reasoning, priced accessibly, from a small European company that is transparent about its identity and its legal terms, and considerably less transparent about how well its ideas actually perform. It is a financial tool and never advice; the publisher's own banner recalls that roughly seven traders in ten lose money.
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