Edgehound
Edgehound is an AI decision intelligence layer for brokers and investment platforms, using AI agents to generate explainable trade ideas that can be embedded in products or accessed via API.
About Edgehound
Edgehound's website positions it as a decision intelligence layer for capital markets: autonomous AI agents replace analyst functions, turning scattered financial data into real-time, explainable investment decisions. It can be embedded into the products of brokers or investment platforms, or invoked programmatically via API, producing trade ideas that include a thesis, drivers, conviction level, entry price, stop loss and target price, and can be presented under the client's brand. According to the website, integration options include iFrame or web components and can be completed within days. Target users include CFD brokers, neo banks, and investment platforms.
Best for
Best use cases
Provide users with trade ideas that include a thesis and risk parameters within your own brokerage or investment platform product
Present AI analytics content under your own brand rather than a white-labeled third-party interface
Integrate AI investment decision-making capabilities into your own systems via API
Features
Trade Ideas
Generate complete trade ideas including thesis, drivers, conviction level, entry price, stop loss and target price, presented under the client's brand.
Embedded Components
Embedded via iFrame or web component under the client's brand; the website says integration can be completed within days.
Programmatic API Access
Beyond embedding in products, its decision-making capabilities can also be invoked programmatically via API.