Daily Market Data: FX, Stocks, Crypto, Precious Metals & Energy

Facts-Only Market Report

Where currencies, stocks, crypto, metals, and energy sit against their own history, measured fresh each trading day — every figure carrying its own as-of date and percentile context. No forecasts, no recommendations.

Today’s notable extremes

Measured against each instrument’s own history, the day’s most extreme readings across all columns: Ethereum (ETH): rel volume 3.13x 20d avg (100th pct, since 2017 (3188 obs)); EUR/GBP: positioning net%OI +1.5% (near top of own 138w range (band tops at +1.9%)); Gold: 20d return +13.64% (99th pct, since 2000 (5685 obs)); Microsoft (MSFT): 20d return +26.60% (99th pct, since 1986 (9956 obs)); WTI Crude: rel volume 0.37x 20d avg (4th pct, since 2000 (6493 obs)).

Today’s most unusual readings

Ranked across every instrument by how far each reading sits from its own history: ETH-USD (rel volume, 100th pct); Gold (20d return, 99th pct); MSFT (20d return, 99th pct). See the full market screener →

What these signals did next

A measured record of what common technical signals — RSI, 52-week position, momentum, volatility — were historically followed by across our stock coverage, reported as fact including where a signal did nothing. See the signal track record →

Foreign exchange

11 major and cross currency pairs against their own history — momentum and volatility extremes, 52-week range position, CFTC Commitment of Traders (CoT) positioning, dollar sensitivity, and each pair's next central-bank decision.

Precious metals

Gold, silver, platinum, and palladium against their own history — price, momentum, volatility, 52-week range position, and each metal's correlation to the US 10-Year TIPS real yield.

Stocks

35 US large-cap stocks across sectors against their own history — price, momentum and volatility extremes, 52-week range position, market beta and correlation to the S&P 500, and each stock's sensitivity to the US 10-Year TIPS real yield.

Crypto

Bitcoin, Ethereum, Solana, and Dogecoin against their own history — price, momentum and volatility extremes, 52-week range position, and each asset's correlation to the S&P 500 and the US dollar index.

Energy

WTI and Brent crude against their own history — price, momentum and volatility extremes, 52-week range position, and the Brent–WTI spread against its own history.

What it is

A daily snapshot of where a range of instruments — currency pairs, precious metals, and stocks — stand against their own history: momentum and volatility extremes, 52-week range position, positioning and cross-asset sensitivity, and each instrument's next scheduled catalyst. Every line is a measured fact with its own as-of date and percentile context.

What it isn’t

It does not forecast, recommend, or interpret. No signals, no “setups,” no views. The selection and ordering surface what has reached a statistical limit; the reader supplies the judgment. The aim is the cleanest possible set of facts.

Methodology

Every figure is measured against each instrument’s own history, not fixed thresholds, and each asset class is scored on the signals its data supports. The full method — the percentile approach, the per-asset-class signal set, indicator definitions, data sources, and timing conventions — is set out on the methodology page.

Why measure against an instrument’s own history?

A fixed threshold — treating an RSI of 70 as “overbought” for every instrument — assumes a currency pair, a metal, and a stock share one distribution of returns and momentum, which they do not. Measuring against an instrument’s own history sidesteps that: a percentile states where today sits within that same instrument’s record, comparable across instruments without importing any outside claim about what a given level should mean. The same reasoning drives the weekly-return correlations: because free daily feeds close their bars at slightly different times, a same-day correlation captures that timing mismatch as much as any real co-movement and washes toward zero, so resampling to one reading per week removes the artefact and leaves the relationship the figures are meant to show. Each is a description of method, not a threshold to act on.