ETF RadarWWW.THEETFRADAR.COM 中文

Method

Every trading day the site distills macro narratives from a flood of financial news, checks them against data, turns them into ETF direction calls, and settles every call in public simulated portfolios. This page explains how calls are made, what the terms mean, and how the portfolios are measured.

How a call is made

01

Read the news

Multilingual financial news is gathered daily and grouped into narratives.

02

Check the evidence

Narratives are checked against flows, futures positioning, options and macro data, not price alone.

03

Ask if it is priced in

A sound thesis the price already reflects is not chased. Late entries are flagged.

04

Settle daily

Every call enters a simulated portfolio, is marked at the close against a benchmark, and stays on file.

Terms

Bullish / Bearish
A call on price direction over the next one to three months. Neutral means no clear direction; mixed means the evidence is split.
Confidence
A number from 0 to 1. Historically, higher-confidence calls have been right more often.
At high
Price is near its 20-day high, so a new entry risks buying a short-term top.
Narrative
A thread of related coverage about one macro event, such as a central bank’s rate cycle. One narrative can affect several ETFs.
Narrative state
Nascent: just emerging; confirming: evidence building; actionable: evidence sufficient; contested: evidence conflicts; decaying: fading.
Risk regime
Credit spreads, volatility, rates and funding stress place the market in one of five states: risk-on, growth-scare risk-off, rate-driven risk-off, systemic stress or transition.
Systemic crisis score
0 to 100, summed from credit-spread level and change, volatility and its term structure, and short-term funding stress. 0 means no signs of crisis.
Z-score
How many standard deviations today’s reading is from its one-year mean. Beyond ±2 counts as extreme.

The four simulated portfolios

Common rules

Limits

All content is generated by automated models and can be wrong. The simulated portfolios have a short history, so samples are small and past results do not predict future ones. Everything here is analysis of general markets, not personal investment advice. Full disclaimer →