Automated trade execution

Configure rules-based automated trade execution: Alphio places trades when your conditions hit, no manual confirmation.

Find it at: /chat or /agentic-trading → New Trading Task

Available on Pro and Elite plans.

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1. What to expect

• Deferred execution — the order fires when your rule triggers, not at setup time
• No manual confirmation per trade — once the rule is live, Alphio submits orders directly to the broker / DEX
• Position tracking — every fill posts to your account and is visible in /agentic-trading task detail and the standard position views
• Kill switch — pause or stop the rule at any time from the task detail panel; pausing halts new evaluations immediately, open positions remain
• Per-rule caps — max trigger count and max run-duration days are enforced server-side so a rule can't run forever by accident

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2. Example setups

• DCA bot — "Buy $100 of BTC every Monday at 9:00 AM ET." (Periodic task)
• Breakout entry — "Long NVDA at $1,000 if 4h volume exceeds the 30-day average." (Monitor task)
• Conditional close — "Sell my AAPL position if price drops 5% from today's open." (Monitor task)
• Event-driven entry — "Enter a 1% SPY position 5 minutes after the next CPI print." (Event task)

Each example maps to one of the three rules-based task types described in the next section.

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3. How it works

Automated trade execution is delivered through three rules-based task types, each created via a dedicated backend endpoint:

Task type	When it fires	Configures
Monitor task	When a price / indicator condition holds on a chosen candle interval	Ticker, rule (price_above / price_below / change_pct / etc.), kline interval, run duration, max trigger count, order size
Event task	When a market event occurs (earnings, CPI, unemployment, etc.)	Ticker, event type, wait-after-event delay, run duration, order size
Periodic task	On a fixed schedule (cron-style)	First run time, interval (1d / 1h / 1wk), max trigger count, run duration, order size

The flow:

1. Describe the rule in chat, or open /agentic-trading and click New Trading Task — Alphio AI picks the correct task type (Monitor / Event / Periodic) based on your description.
2. Review the confirmation card. Verify ticker, trigger, sizing, and run duration before submitting.
3. Alphio registers the task with the broker / DEX integration and starts evaluating. The task appears under /agentic-trading as Active.
4. On trigger, orders fire automatically. Each fill posts back to the task's execution log and to your account positions.

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4. Best practice

• Start small — size first runs at the minimum the venue allows. Once the rule has fired live a few times and behaved, scale up.
• Paper-test first — describe the rule and check the confirmation card carefully, even if you don't enable it. Confirming the parsed trigger is the cheapest way to catch ambiguity.
• Set a max-loss / kill switch — define the max run-duration days and max trigger count up front so a misconfigured rule can't drain the account.
• Monitor the first few runs — open the task detail panel after each trigger fires for the first 24–72 hours. Look for slippage, partial fills, or rule misfires before walking away.
• Scope rules narrowly when you also trade the same ticker manually, to avoid the rule closing a hand-placed position.

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5. Differences from Agentic Trading

Automated trade execution is rules-driven: you supply the rule, Alphio executes it. Agentic Trading is goal-driven: you supply the objective, Alphio AI researches, plans, and proposes trades to meet it — with per-trade approval gates by default.

If the decision is already made and you want execution discipline, use automated trade execution. If you want help deciding what to trade in the first place, use Agentic Trading.

See the full comparison on Agentic Trading vs Auto Trade.