ORION turns market structure into inspectable, read-only market context—without requesting broker credentials or executing trades.
Start with validated Radar access and inspect the source behind each view. Live scanner delivery, Alerts notifications and Research remain in validation.
Radar organizes market structure, direction, timeframe, setup and confluence into a clear decision surface.
Review how assets, setups, sessions, direction and minimum score will control notifications. Activation and delivery remain in validation.
Preview how a question can become a documented study. Live execution and automatic continuation remain in staging validation.
ORION keeps the path visible. A setup is detected, checked against defined rules, presented with its context and made available for historical investigation.
Monitor the connected universe for defined structure, imbalance and level events.
Apply timeframe, direction, session, setup and confluence rules before surfacing a signal.
Open the chart context and see the information that contributed to the event.
Review the proposed fixed-method workflow while live Research execution remains in staging validation.
Available evidence is labeled with its source and status. Research previews remain separate from validated production results.
Choose a Radar plan or subscribe to Alerts separately. Research and combined subscriptions will open after validation.
Preview notification conditions before delivery is released.
Historical intelligence for testing market questions against closed candles.
Investigate the behavior, then control how matching events reach you.
The platform is designed to help users inspect market information and historical behavior with clear boundaries.
No. ORION is a read-only market intelligence environment. It does not request broker credentials and does not execute orders.
Alerts is available separately. Research and the combined pass are paused while the research capability is validated.
The defined ORION signal timeframes are M2, M5, M15 and H1.
No. Research describes how a defined event behaved in a historical sample. It does not tell the user to buy or sell, and past behavior does not guarantee future results.