Every tool built to protect side income, explained
A detailed look at how Thorn Capstead analyzes risk, sets protective limits, and keeps you informed — without requiring you to become a market expert.
Four systems working together
Each feature addresses a different part of managing risk on income that isn't your primary job — from spotting exposure early to acting before losses compound.
AI Risk Scoring
Continuously evaluates volatility, position size, and market conditions to produce a plain-language risk score, so you know your exposure without reading raw charts.
Smart Stop-Loss
Adjusts stop-loss thresholds based on changing market behavior rather than a fixed percentage, aiming to reduce both premature exits and avoidable losses.
Contextual Alerts
Sends notifications only when a meaningful risk threshold is crossed, cutting down on noise so you can stay focused on your main job during the day.
Transparent Logic
Every alert and adjustment includes a short explanation of the reasoning behind it, so decisions remain understandable rather than a black box.
Protection that adapts instead of guessing
A fixed stop-loss percentage treats a calm market the same as a volatile one. Thorn Capstead's Smart Stop-Loss recalculates thresholds as conditions shift, aiming to keep protection relevant to what's actually happening.
- 1 Thresholds widen or tighten automatically as volatility changes, instead of staying static.
- 2 Adjustments are logged with a short rationale, so you can review why a level moved.
- 3 You can review and override suggested levels at any time — the system supports decisions, it doesn't remove your control.
From data to decision in four steps
The process behind every score, alert, and stop-loss adjustment follows the same structured path.
Data Ingestion
Market data relevant to your positions is pulled in continuously, forming the basis for every subsequent calculation.
Risk Modeling
The AI evaluates volatility patterns and exposure to generate an updated risk score for each tracked position.
Threshold Adjustment
Smart Stop-Loss levels are recalculated when conditions change meaningfully, not on a fixed schedule.
Notification
If a threshold is crossed or a score shifts significantly, you receive a concise alert with the reasoning attached.
Data Inputs Considered
These inputs feed the same models across scoring, alerts, and stop-loss logic, keeping the outputs aligned rather than contradictory.
Less manual monitoring, more consistent limits
A simplified comparison of the attention typically required with manual tracking versus a Smart Stop-Loss approach.
Illustrative comparison of relative attention demand. Actual results vary by market conditions and individual portfolio setup.
Adaptive Thresholds
Stop-loss levels shift with volatility instead of remaining fixed regardless of market behavior.
Reasoned Alerts
Notifications arrive with a short explanation, reducing guesswork about why an alert was triggered.
Reviewable History
Every adjustment is logged, so you can look back and understand how thresholds evolved over time.
See these features applied to your own setup
Start an analysis to see how AI risk scoring and Smart Stop-Loss would apply to your current positions.
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