What risk management is
Risk management defines how much a strategy is allowed to lose and under which constraints it operates. Good entries find opportunity.Good exits define outcomes.
Risk management ensures survival. In Trinigence, risk rules are enforced independently from entries and exits.
Core risk components
Every strategy may include one or more risk controls.Stop Loss
Limits loss per trade.
Position sizing
Defines how large each trade is.
Exposure limits
Restricts how much capital is exposed.
Trade limits
Controls how many trades can be open.
Stop loss
The stop loss defines the maximum acceptable loss per trade. Example:- fixed percentage
- fixed price distance
- direction-specific
Position sizing
Position sizing defines how much capital is allocated to each trade. Common approaches:- fixed size
- fixed percentage of capital
- risk-based sizing
Position sizing often has more impact than entry precision.
Exposure limits
Exposure limits restrict how much capital can be at risk at the same time. Examples:- only one open trade at a time
- maximum 20% total exposure
- no overlapping positions
- overleveraging
- correlated losses
- runaway drawdowns
Trade limits
Trade limits control how frequently the strategy can trade. Examples:- lower timeframes
- high-frequency signals
- noisy markets
Direction-specific risk
Risk rules may differ by direction. Example:- asymmetric risk profiles
- adaptation to market behavior
How risk rules are enforced
Risk rules are evaluated:- continuously while a trade is open
- before allowing new entries
- independently from signal logic
Risk constraints always override entry signals.
Default behavior
If risk rules are:- missing → ATI enforces safe defaults
- partially defined → ATI fills conservatively
- conflicting → ATI requests clarification
What Trinigence fills automatically
See how safety defaults are applied.
Common mistakes
Focusing only on entries
Focusing only on entries
Many strategies fail not because of entries, but because of poor risk control.
Using the same risk for all markets
Using the same risk for all markets
Volatility differs across symbols. Risk should adapt.
Stacking too many risk rules
Stacking too many risk rules
Too many constraints can eliminate valid trades.
Best practices
- Define stop loss first
- Keep risk rules simple
- Review drawdowns before profits
- Test risk changes independently
Backtesting metrics
Learn how risk shows up in metrics.
What to read next
Backtesting & metrics
Interpret risk through results.
Exit logic
How exits interact with risk.
Strategy overview
Return to the full model.
Iteration & optimization
Improve safely over time.
Risk management does not make strategies exciting.
It makes them survivable.
It makes them survivable.