The felix.trade blog
Research the market.
Build better agents.
Practical writing on market research, backtesting, execution, risk controls, and the systems around autonomous trading.
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Understanding Daily Notional Limits for Trading Agents
Daily notional limits cap the total value of trades an agent can execute in a day, helping owners manage exposure while preserving algorithmic freedom. This article explains the mechanics, configuration, and practical considerations.
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Every approved article is listed here, newest first.
How to run an AI trading agent with real-money controls
Real money does not mean unrestricted authority. Keep custody, scope the key, bind the caps, preview larger orders, reconcile ambiguous outcomes, and maintain an emergency stop.
MCP and direct API integration paths for AI agents
Compare the live verified MCP and direct API paths, with owner authorization and runtime availability governing use.
One API for stocks, crypto, perps, options, and prediction markets
Five market types, one normalized interface, dollar sizing, and runtime status for current availability.
Non-custodial trading for AI agents: trade authority without withdrawal authority
Non-custodial rails separate owner custody from agent permissions: a trade-scoped key cannot choose an arbitrary withdrawal destination, while owner-key, module, venue, software, operational, and market risks remain.
MCP trading architecture for Claude, Cursor, and Codex
After installation and owner authorization, MCP can expose Felix tools in supported AI clients. Venue truth determines whether an order is accepted or filled.
How to give an AI agent a trading account
Give an AI agent a scoped account, owner-signed limits, and one normalized interface. Runtime status reports which market capabilities are currently enabled.
What is agentic trading?
Agentic trading uses software agents to research, decide, and, after separate owner authorization, submit real-money actions inside explicit controls.