The advice boundary · 4 MIN
What an AI-drafted order ticket must show before confirmation
Every field an AI-drafted order ticket needs before a trader confirms, why each matters, and worked spot and leveraged perpetual examples.
THE HIPPO BLOG
Conversational trading, explained.
Guides and research for the exchanges and brokers embedding conversational trading, and for the traders using it. From Team Hippo.
Latest
Embedded trading agents · 4 MIN
How to evaluate an AI trading agent vendor: 20 questions
Twenty questions for exchanges and brokers evaluating an AI trading agent vendor, grouped by safety, confirmation, data, integration, security and pilot.
Embedded trading agents · 5 MIN
Build vs buy: AI trading agents for exchanges and brokers
What it takes to build an AI trading agent in-house, how that compares with buying one, and the questions that decide which path fits your venue.
Exchange growth · 5 MIN
Exchange trader retention: why the second trade matters
Why the second trade is a stronger retention signal than the first, the cohort metrics that track it, what drives drop-off, and how to measure it.
The advice boundary · 4 MIN
Why Hippo explains and never advises
Why 'Hippo explains, never advises' is a product decision, how it shows up in behaviour, how it is enforced, and what traders get instead of a verdict.
The advice boundary · 5 MIN
How an AI trading agent avoids giving investment advice
Where the line between information and advice sits for an AI trading agent, and how to build and test an agent that stays on the information side.
Topics
6 POSTS
Embedded trading agents
What conversational trading agents are, how they embed in an exchange, and how to evaluate one.
5 POSTS
The advice boundary
How an AI trading agent stays on the information side of the line, and why confirmation matters.
16 POSTS
Trading concepts, explained
Order types, derivatives and market mechanics in plain English. Information, not advice.
4 POSTS
Exchange growth
Activation, retention and trader experience for exchange and broker product teams.
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