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Documentation

Mavori documentation

Mavori is a hosted trading agent for researching markets, building and testing strategies, understanding a portfolio, and preparing actions for your review. These docs explain the product by feature and by the flows you complete in the app.

One workflow from question to decision

Start in chat with a company, market, portfolio, or strategy question. The agent gathers current evidence, shows the work it used, and returns an answer you can inspect. From there you can continue into a company report, a saved file, a strategy, a backtest, or a proposed trade without rebuilding the context in separate tools.

When research continues into a Strategy and a trade, the flow can become research → verify → backtest when supported → decide → propose → approve → review. You can stop at any stage, and research or strategy authoring does not require a connected brokerage account.

The main product areas

Where each kind of work lives
AreaUse it for
AgentResearch, analysis, follow-up questions, files, and specialist skills
MarketsCompany reports, news, earnings, technicals, macro context, and screening
StrategiesCreating, editing, backtesting, and deploying executable strategies
PortfolioLive, manual, and paper accounts, positions, risk controls, and history
ScheduledRecurring Agent work and run history
Alerts and InboxMonitored conditions, approval requests, and items that need you
MCPUsing Mavori from another supported AI client
Where each kind of work lives

Supervision stays with you

Mavori separates analysis from financial action. A broker order is presented as a specific proposal for your approval, and account-level Risk controls are checked before placement. Strategy deployment is also an explicit action. Market data can be delayed or incomplete, and the product preserves those states instead of presenting missing coverage as certainty.

Choose a starting point

Get started

Understand the product, finish setup, and complete a first useful task.

Agent and research

Work with the hosted Agent and move from market context to sourced research.

Strategies

Create, test, version, and supervise executable trading strategies.

Portfolio and trading

Manage accounts and holdings, then review each trading decision and its history.

Automation and connections

Schedule Agent work, extend its capabilities, and connect other AI clients.

Account

Manage your profile, plan, connections, privacy, and support options.