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

Facts-Only Market Report

Where currencies, precious metals, US stocks, crypto, energy and government bond yields sit against their own history, measured fresh each trading day. No forecasts, no recommendations.

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The day’s most unusual readings, 2026-10-20

Each column’s most unusual reading, measured against the instrument’s own history.

What followed these readings in the past

A measured record of what common technical readings — RSI, 52-week position, momentum, volatility — were historically followed by across the stocks and crypto assets this site covers, reported as fact, including where nothing unusual followed. See the historical outcome record →

Foreign exchange

11 major and cross currency pairs against their own history — momentum and volatility extremes, 52-week range position, CFTC Commitments 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

48 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, plus each stock’s sensitivity to the US 10-year TIPS real yield.

Crypto

Bitcoin (BTC), Ethereum (ETH), Solana (SOL) and Dogecoin (DOGE) against their own history — price, momentum and volatility extremes, 52-week range position, plus each asset’s correlation to the S&P 500 and the US dollar index.

Energy

WTI Crude, Brent Crude, RBOB Gasoline, Heating Oil and Natural Gas against their own history — price, momentum and volatility extremes, 52-week range position and the Brent–WTI spread against its own history.

Government bonds

US Treasury yields at 5 maturities from 3 months to 30 years, and German federal, Japanese, Canadian and UK government yields, each against its own history: levels, momentum (RSI), volatility in basis points and 52-week range position. Also each market's spread to US Treasuries, the US curve slopes (2s10s, 2s30s) and the 10-year real yield with breakeven inflation.

(this section’s latest data).

What it is

A daily snapshot of where a range of instruments — currencies, precious metals, US stocks, crypto, energy and government bond yields — stand against their own history: momentum and volatility extremes, 52-week range position, positioning and cross-asset sensitivity, plus each instrument’s next scheduled catalyst. Every line is a measured fact, dated by its section; when an instrument has a standout reading, the line shows it with its percentile or 52-week range position.

What it is not

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 indicators its data supports. The full method — the percentile approach, the per-asset-class indicator set, 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. Free daily feeds close their bars at slightly different times, so a same-day correlation picks up that timing mismatch as much as any real co-movement and is pulled towards zero. 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.