Track Record & Performance
Real-time Data from SENTINEL-IQ AI Engines
Last updated: 7:42:30 PM
Watching
Both engines are checked for closed outcomes, monthly records, and signal history.
Listening
Filters, assets, quality tiers, and outcome states decide what evidence is shown.
Learning
Verified exits measure signals; portfolio risk and benchmarks need dated equity history.
Track Record Data Status
Counts come from stock and crypto signal history. Accuracy requires verified exits; portfolio risk and benchmark comparisons require the separate equity history in Paper Research.
Awaiting closed outcomes
0
Source Signals
0
Filtered Signals
0
Closed Outcomes
0
Open/Pending
0
Stocks Closed
0
Crypto Closed
Stocks pipeline: 0 live/open, 0 closed
Crypto pipeline: 0 live/open, 0 closed
Monthly records: 0 connected data points
🏆 Live Tracking Overview
0
Open Signals
Live Tracking
0
Source Signals
Connected Engines
0
A/A+ Signals
Quality Mix
0.0%
Avg Confidence
Open Signals
0
Stocks Open
0
Crypto Open
0
Monthly Points
Methodology & Quality Standards
Signal Generation
- • Multi-factor AI analysis
- • Technical + fundamental data
- • Provider evidence where available
- • Risk-adjusted scoring
Quality Control
- • A+ score: at least 90%
- • A score: 75-90%
- • B score: 60-75%
- • Scores are not measured win probabilities
Performance Tracking
- • Real-time outcome monitoring
- • Measured exit prices
- • Individual signal returns
- • Separate prospective paper portfolios
📊 Real Signal History & Outcomes
No Signals Found
Try adjusting your filters or check back later for new signals.
📈 Real Performance Trends
Monthly Signal Activity
No monthly data available
Signal Quality Distribution
No signal data available