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AI Consensus Index

Market consensus reads 72.5, a 7.9 point increase from last week's 64.6.

Updated April 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 signal as context to inform trading decisions, not a blind trigger.

Current Read

Bullish sentiment dominates with 17 out of 28 assets showing a bullish bias.

Key Data Points

Bullish assets: 17/28Average confidence: 70.8%Regime: supportive

Live Consensus Trend

Consensus Score
72.5/100
Prior Score
64.6/100
Score Delta
+7.9
Trend State
strengthening

Dominant Alignment

Dominant Side
bullish
Baseline
2026-04-11
Confidence Shift
+3.2
Current Breadth
17/4/7

Prior Breadth

Bullish
11
Bearish
3
Neutral
16
Leading Signal
AMD is carrying 88% bullish conviction

Asset-Class Alignment

crypto
Net +6 now, was +2
+4
stronger
forex
Net +1 now, was -1
+2
stronger
stock
Net +4 now, was +3
+1
steady
commodity
Net +2 now, was +1
+1
steady
etf
Net 0 now, was +3
-3
weaker

Conviction Leaders

AMD is carrying 88% bullish conviction
SPY is carrying 82% bullish conviction

Consensus Watchlist

Watch AMD to see if leadership can pull the broader stack with it
Watch NFLX for signs that downside pressure is broadening
Consensus is strengthening, so confirmation across more asset classes matters

Live Signal Snapshot

Breadth
17 bullish / 4 bearish / 7 neutral
Avg Confidence
70.8%
Regime
supportive
Strongest Long
AMD

Highest-Conviction Longs

AMD
AMD · stock
88%
278.39
SPY
SPY · etf
82%
731.3557
AUD/USD
Australian Dollar / US Dollar · forex
76%
105.0224

Highest-Conviction Shorts

NFLX
NFLX · stock
88%
97.31
IWM
IWM · etf
72%
254.4791
EUR/USD
Euro / Dollar · forex
65%
1.0726

Asset-Class Balance

crypto
7 bullish / 1 bearish / 1 neutral
stock
5 bullish / 1 bearish / 2 neutral
forex
2 bullish / 1 bearish / 1 neutral
commodity
2 bullish / 0 bearish / 1 neutral
etf
1 bullish / 1 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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