Data Ingestion
Real-time data pipeline status
Active
Market Data
2 min ago
1.2Mrecords
Active
Macro Indicators
5 min ago
45Krecords
Active
Alternative Data
1 min ago
890Krecords
News Sentiment
+0.34
↑ 12% positive
ESG Events
127
Last 24h
Data Quality
98.7%
Excellent
Latency
1.2s
avg
Risk Attribution
Causal factors driving volatility
Energy Transition70%
Interest Rates15%
ESG Exposure10%
Market Sentiment5%
Executive Summary
This portfolio's volatility is driven 70% by energy transition exposure, not macro rates — and here's what to change.
Causal Structure
Risk driver relationships
5 risk drivers identifiedConfidence: 94%
Strongest Link
Energy → Portfolio Risk
Model Type
Bayesian Causal Network
Counterfactual Simulation
What-if scenario analysis
0%
0%
Predicted Outcome
Portfolio Volatility-8.2%
Expected Return+2.4%
Sharpe Ratio1.82
Scenario: "What if rates rise but ESG exposure improves?"
Portfolio Impact Engine
Stress-test allocations under causal scenarios
Base Case
45%Risk
12.4%
Return
8.2%
Energy Crisis
25%Risk
18.7%
Return
4.1%
ESG Premium
30%Risk
10.2%
Return
9.8%
Recommended Action
Reduce energy sector exposure by 15% and increase ESG-weighted alternatives. Expected volatility reduction: 6.3%.