Bracket orders in Onyx allow you to automate trade exits by attaching a profit target and or stop loss to every position. This makes risk control systematic and removes emotional decision-making from your trading.
Brackets are one of the most important tools for maintaining discipline and consistency.
What Are Bracket Orders?
A bracket order places exit rules on every trade:
A profit target to lock in gains
A stop loss to limit downside
Or both combined
Once your entry fills, your bracket logic becomes active automatically.
Bracket Types in Onyx
Onyx gives you three bracket configurations:
Target and Stop
Sets both a profit target and a stop loss.
Best for:
Structured trades
Defined risk-to-reward setups
Full automation
Target Only
Applies only a profit target with no stop attached.
Best for:
Manual risk management
Trailing stops
Partial exit strategies
Stop Only
Applies only a stop loss with no target.
Best for:
Protective trades
Swing protection
Manual profit-taking
How to Set Up Brackets for a New Order
To apply brackets when entering a trade:
Select Bracket mode in the Order Entry panel.
Choose your Order Type (Market, Limit, Stop, or Stop Limit).
Open the Bracket Type dropdown and select:
Target and Stop
Target Only
Stop Only
Set:
Quantity
Target Ticks
Stop Ticks (if used)
Choose order Duration (Day, GTC, IOC, FOK).
Click BUY or SELL.
Your profit target and stop automatically activate when your entry order is filled.
How Bracket Orders Execute
Stop Orders (Risk Control)
Stops are sent as Stop Market Orders. When triggered, they fill at the best available market price.
This prioritizes exit reliability over price precision.
Target Orders (Profit Taking)
Targets are placed as Limit Orders. They will only fill at your specified price or better.
This prioritizes pricing but does not guarantee execution.
Best Practices
Always set a stop unless intentionally managing risk manually.
Adjust bracket size based on market volatility.
Use different targets for different strategies.
Verify bracket values before submitting.
Test in simulation before deploying in live conditions.
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