Master Professional Trading
Automated analysis, conditions, and intelligent alerts
The AI agent is a conversational trading assistant built into Profitabul. It can analyze charts, set automated conditions, monitor markets on your behalf, and propose trades for your approval. Think of it as a co-pilot that watches the markets so you don't have to stare at screens all day.
Starting a conversation:Open the agent panel and type a message. The agent responds in real time with streaming text, so you see answers as they're generated.
What you can ask: Market analysis, trade setup ideas, risk assessment, explanations of orderflow patterns, or help setting up conditions and automation.
Context awareness: The agent can see your current positions, account balance, active conditions, and live market data to provide relevant, personalized responses.
Conditions are automated rules that fire when specific criteria are met. They let you set up alerts and triggers without watching the market constantly.
Create conditions by chatting with the agent ("alert me when ES crosses 5000") or through the conditions panel. The condition fire log keeps a history of every trigger with timestamps.
Scheduled automation: Crons are recurring tasks that run on a schedule you define. The agent executes them automatically at the specified times.
Use cases:
Create crons from the crons panel. Each cron has a name, schedule, and a prompt that tells the agent what to do when it runs.
What intents are:When the agent identifies a trade opportunity, it creates an intent—a proposed trade awaiting your approval.
Intent lifecycle:
You can enable auto-execute modeto skip manual approval, but this is recommended only after you've built trust in the agent's suggestions and have proper risk management configured.
Agent guardrails: Configure hard limits to control what the agent can do. These settings apply to all agent-initiated trades.
Kill switch:Immediately halts all agent activity—cancels pending intents, disables conditions, and stops all automation. Use this if the agent is behaving unexpectedly.
Persistent memory: The agent remembers past conversations and learns your trading preferences over time. It builds context about your style, preferred setups, and risk tolerance.