TradeStop
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An AI trading loop that keeps assessing, acting and learning.

Set an objective, risk profile and decision cadence. AI Autopilot then maintains its own strategy, records each assessment and revisits its configuration as new evidence arrives.

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TRADESTOP ENGINE

Workspace connected
Live
Instrument selection AI maintained
Decision cadence User controlled
Assessment history Visible

Built as one system

Trading tools that share the same evidence.

01

Assess

Autopilot receives current quotes, recent technical bars, portfolio exposure, available cash and its prior learning context.

See market evidence
02

Decide and execute

It can buy, sell or hold, with its decisions and completed orders kept separate from ordinary strategy statistics.

See activity tracking
03

Review and adapt

Scheduled optimisation compares candidate configurations through backtests and carries the strongest tested option forward.

See backtesting

A complete assessment record

Understand what the AI received and what it did

The Autopilot page shows previous decisions, market-data coverage, model usage, action outcomes, next scheduled work and optimisation history.

  1. 01

    Per-instrument rationale and decision outcomes.

  2. 02

    Quote and technical-data freshness for the latest run.

  3. 03

    Completed, skipped and failed activity kept in chronological history.

Continuous improvement cycle

Backtests inform later configurations

Optimisation is completed in the background. Candidate changes are bounded to the selected profile, tested against historical data and recorded before the active configuration changes.

  1. 01

    Recurring reviews based on schedule, inactivity and recent outcomes.

  2. 02

    Candidate experiments with comparable performance summaries.

  3. 03

    Existing strategy remains available if an optimisation cannot complete.

Explore TradeStop

Continue through the platform.

Learn how each part of the workspace fits into a complete trading workflow.

Overview Turn market evidence into automated trading decisions. Live Demo Test TradeStop on real market data. Features Everything needed to build, run and understand an automation. Automation Build a repeatable strategy and follow every run. Backtesting Test an idea against market history before using it again. Market Data See tradable instruments with the freshest available evidence.

Common questions

TradeStop, explained clearly.

How often can AI Autopilot run?

The user selects the decision cadence in the app, and the next assessment time is shown on the live Autopilot screen.

Does Autopilot share statistics with normal strategies?

No. Its decisions, completed trades, performance and learning history are calculated within the Autopilot scope.

Does a market-closed check use an AI credit?

No. Runs that stop before an AI request because the relevant market session is closed do not consume an AI request credit.

Your TradeStop workspace

Connect an account. Build a strategy. Follow the evidence.

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