Air Radar/Insights/AI Consensus Index
Market intelligence

AI Consensus Index

Market-wide consensus reads a bullish bias with 11 out of 28 assets favoring gains.

Updated July 18, 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 this consensus read as context to inform trades, not a blind signal.

Current Read

Bullish consensus strengthens as 11 assets favor gains, with 14 neutral assets holding back conviction.

Key Data Points

11 assets bullish, 14 neutralAverage confidence 67.6%Supportive regime persists

Live Consensus Trend

Consensus Score
65.3/100
Prior Score
59.1/100
Score Delta
+6.2
Trend State
strengthening

Dominant Alignment

Dominant Side
neutral
Baseline
2026-07-11
Confidence Shift
-0.8
Current Breadth
11/3/14

Prior Breadth

Bullish
9
Bearish
6
Neutral
14
Leading Signal
USD/JPY is carrying 85% bullish conviction

Asset-Class Alignment

commodity
Net +2 now, was -1
+3
stronger
etf
Net +2 now, was -1
+3
stronger
crypto
Net +1 now, was 0
+1
steady
forex
Net +1 now, was +1
0
steady
stock
Net +2 now, was +4
-2
weaker

Conviction Leaders

USD/JPY is carrying 85% bullish conviction
CL=F is carrying 80% bullish conviction

Consensus Watchlist

Watch USD/JPY to see if leadership can pull the broader stack with it
Watch DOGE for signs that downside pressure is broadening
Consensus is strengthening, so confirmation across more asset classes matters
14 neutral assets are still suppressing broad conviction
Average confidence is 0.8 points softer week over week

Live Signal Snapshot

Breadth
11 bullish / 3 bearish / 14 neutral
Avg Confidence
67.6%
Regime
supportive
Strongest Long
USD/JPY

Highest-Conviction Longs

USD/JPY
Dollar / Yen · forex
85%
140.834
CL=F
Crude Oil WTI · commodity
80%
73.2478
MSFT
Microsoft · stock
78%
358.8031

Highest-Conviction Shorts

DOGE
Dogecoin · crypto
68%
0.0726
XRP
Ripple · crypto
60%
1.0883
BNB
Binance Coin · crypto
60%
566.45

Asset-Class Balance

crypto
4 bullish / 3 bearish / 2 neutral
stock
2 bullish / 0 bearish / 6 neutral
forex
1 bullish / 0 bearish / 3 neutral
commodity
2 bullish / 0 bearish / 1 neutral
etf
2 bullish / 0 bearish / 2 neutral

Methodology

  1. 1Aggregate directional output across multiple model-driven market summaries.
  2. 2Normalize conviction so one unusually verbose model does not dominate the signal.
  3. 3Classify the result into aligned bullish, aligned bearish, or mixed-risk conditions.
  4. 4Use it as a context layer, not as an automatic trade trigger.

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