Market intelligence
AI Consensus Index
AI Consensus Index: 29 assets, 64.3% average confidence, supportive regime.
Updated April 19, 2026
Why It Matters
Consensus is useful because it turns scattered model output into one directional snapshot traders can understand in seconds.
Strategic Takeaway
Use AI Consensus Index as context for directional trades, not a blind signal.
Current Read
Bullish bias strengthens with 11/29 assets bullish, 5 bearish, 13 neutral.
Key Data Points
Bullish assets: 11/29Forex leads with 4/0/0Conviction leaders: XLF, GOOGL
Live Consensus Trend
Consensus Score
61.5/100
Prior Score
57.1/100
Score Delta
+4.4
Trend State
strengthening
Dominant Alignment
Dominant Side
neutral
Baseline
2026-04-12
Confidence Shift
-1.3
Current Breadth
11/5/13
Prior Breadth
Bullish
6
Bearish
4
Neutral
19
Leading Signal
XLF is carrying 83% bullish conviction
Asset-Class Alignment
forex
Net +4 now, was +1
+3
stronger
crypto
Net 0 now, was -3
+3
stronger
stock
Net +2 now, was +1
+1
steady
commodity
Net 0 now, was 0
0
steady
etf
Net 0 now, was +3
-3
weaker
Conviction Leaders
XLF is carrying 83% bullish conviction
GOOGL is carrying 81% bullish conviction
Consensus Watchlist
Watch XLF to see if leadership can pull the broader stack with it
Watch AMD for signs that downside pressure is broadening
Consensus is strengthening, so confirmation across more asset classes matters
13 neutral assets are still suppressing broad conviction
Average confidence is 1.3 points softer week over week
Live Signal Snapshot
Breadth
11 bullish / 5 bearish / 13 neutral
Avg Confidence
64.3%
Regime
supportive
Strongest Long
XLF
Highest-Conviction Longs
XLF
XLF · etf
83%
52.4985
GOOGL
Alphabet · stock
81%
149.4055
AAPL
Apple Inc. · stock
75%
177.8895
Highest-Conviction Shorts
AMD
AMD · stock
78%
264.0596
QQQ
QQQ · etf
69%
615.3036
BNB
Binance Coin · crypto
65%
629.55
Asset-Class Balance
crypto
2 bullish / 2 bearish / 5 neutral
stock
3 bullish / 1 bearish / 5 neutral
forex
4 bullish / 0 bearish / 0 neutral
commodity
1 bullish / 1 bearish / 1 neutral
etf
1 bullish / 1 bearish / 2 neutral
Methodology
- 1Aggregate directional output across multiple model-driven market summaries.
- 2Normalize conviction so one unusually verbose model does not dominate the signal.
- 3Classify the result into aligned bullish, aligned bearish, or mixed-risk conditions.
- 4Use it as a context layer, not as an automatic trade trigger.