XOOMAR

AI News Sentiment

Per-asset sentiment from news analysis, crowd positioning & institutional flows. Computed hourly.

How this works

News (50% weight): AI analysis of our news articles mentioning each asset. Measures whether coverage is bullish or bearish.

Crowd (25% weight): Derived from crypto funding rates and long/short ratios. Extreme crowd positioning can signal reversals.

Institutional (25% weight): From CFTC Commitment of Traders data — where leveraged funds and asset managers are positioned.

This is measurement, not prediction. Not financial advice.

Bitcoin

crypto
6 articles
CompositeNeutral

+0.02

News

-0.47

Crowd

+0.01

Institutional

+1.00

Crude Oil (WTI)

commodity
1 articles
CompositeNeutral

-0.19

News

—

Crowd

—

Institutional

-0.19

Copper

commodity
CompositeBullish

+0.26

News

—

Crowd

—

Institutional

+0.26

Russell 2000

index
CompositeNeutral

-0.18

News

—

Crowd

—

Institutional

-0.18

GBP/USD

fx
CompositeNeutral

+0.09

News

—

Crowd

—

Institutional

+0.09

Silver

commodity
1 articles
CompositeNeutral

+0.18

News

—

Crowd

—

Institutional

+0.18

Gold

commodity
1 articles
CompositeBullish

+0.47

News

—

Crowd

—

Institutional

+0.47

Nasdaq 100

index
CompositeVery Bearish

-1.00

News

—

Crowd

—

Institutional

-1.00

S&P 500

index
CompositeVery Bearish

-1.00

News

—

Crowd

—

Institutional

-1.00

AUD/USD

fx
CompositeVery Bullish

+0.76

News

—

Crowd

—

Institutional

+0.76

USD/JPY

fx
CompositeVery Bearish

-0.82

News

—

Crowd

—

Institutional

-0.82

EUR/USD

fx
CompositeBearish

-0.27

News

—

Crowd

—

Institutional

-0.27

BNB

crypto
1 articles
CompositeNeutral

0.00

News

—

Crowd

0.00

Institutional

—

Dogecoin

crypto
1 articles
CompositeNeutral

+0.03

News

—

Crowd

+0.03

Institutional

—

XRP

crypto
2 articles
CompositeNeutral

-0.04

News

—

Crowd

-0.04

Institutional

—

Solana

crypto
1 articles
CompositeNeutral

-0.04

News

—

Crowd

-0.04

Institutional

—

Ethereum

crypto
1 articles
CompositeNeutral

-0.02

News

—

Crowd

-0.02

Institutional

—

Get this data via our free API →

🧠

Understanding

How This Sentiment Index Works

Three independent layers, always shown separately

The news layer uses AI analysis of our own coverage: every article is scored per asset from -1 (bearish) to +1 (bullish), weighted by confidence and recency. The crowd layer reads funding rates and long/short ratios, where extremes mark crowded trades. The institutional layer tracks leveraged funds in CFTC COT data against their one-year range. When fewer than three articles mention an asset, the news layer is excluded rather than extrapolated. This is measurement, not price prediction.

Frequently Asked Questions

How is the composite sentiment score calculated?
The composite is a weighted average of three layers: AI-scored news coverage (50%), crowd positioning from funding rates and long/short ratios (25%), and institutional positioning from CFTC COT data (25%). When a layer has insufficient data it is excluded and the weights renormalize.
Where does the news sentiment come from?
From our own editorial pipeline. Every article we publish is analyzed per asset by AI, producing a sentiment and confidence value. Scores are weighted by confidence and decay with age, and we always display how many articles back a score.
How often do scores update?
Hourly. Each update rescans recent coverage, current funding rates, long/short ratios, the latest COT report and the Crypto Fear & Greed Index.
Does a bullish score mean the price will go up?
No. Sentiment measures the tone of published information and how traders are positioned, not future prices. Extremely one-sided sentiment is often used as a contrarian warning. Nothing here is financial advice.
Can I access sentiment data programmatically?
Yes, through our free JSON API at /api/markets/sentiment with no API key required, subject to fair-use rate limits. Full documentation is at xoomar.com/markets/api.

Data on this page is provided for informational purposes only and is not financial advice. See our editorial policy.