FinanceLabNews-based indices for financial markets
How much the news is covering bank and financial stress, energy and oil risk, and crypto - measured against a fixed baseline, with every spike traced to the headlines behind it.
Query
slug=bank-stress
from=2023-03-01
to=2023-03-31
baseline=100
Latest
104
Peak (Mar 2023)
319
{
"slug": "bank-stress",
"name": "Bank / Financial Stress Index",
"baseline": 100,
"current": 104.2,
"series": [
{ "date": "2023-03-08", "attention": 96.4 },
{ "date": "2023-03-13", "attention": 318.6 },
{ "date": "2023-03-20", "attention": 241.7 }
],
"spike": {
"date": "2023-03-13",
"value": 318.6,
"headline": "Regulators close Silicon Valley Bank",
"source": "example-news.com"
}
}News-based indices, like the Fed financial stress index
Each index measures how much of the day's news covers one theme, indexed to 100 = the 2021-2025 average, so you can tell when a theme is unusually in the news.
Spikes grounded in headlines
Each peak links to the actual articles that drove it, from SVB to Hormuz to the spot-ETF approval.
Descriptive, not a signal
The indices measure news attention, not price, alpha, or a trade. Not investment advice.
Public and citable
How each index is built and tested is published, so charts can be viewed, shared, and cited.
Track themes as indices
Follow bank stress, energy and oil risk, and crypto as index lines, like the Fed financial stress index.
Coverage over time
Each series is the share of daily coverage for one theme, weighted toward the most relevant, high-impact articles - like Google Trends, but for news.
Indexed to 100
Values are scaled so 100 is the 2021-2025 average, 7-day averaged; levels compare across themes and dates.
Labeled news underneath
Built from GDELT, a global news database, each article labeled by topic, region, and market impact, and scored for sentiment.
API for developers
Pull index values and the labeled-news feed via GET /api/v1/indexes and /api/v1/news.
Indices
bank stress, energy, crypto
Updated
new coverage each day
History
baseline from 2021-2025
Free window
of index data via the API
From news to a citable index
News is labeled, measured as a daily share of coverage per theme, and indexed to a fixed 2021-2025 baseline for charting, sharing, and citing.
Ingest
GDELT-sourced global news is ingested daily and gated for relevance.
Label
Each article is labeled by topic, region, and market impact, with a relevance score and sentiment.
Index
Coverage per theme is measured as a daily share, indexed to 100 = the 2021-2025 average, and 7-day averaged.
Share
The index ships as a public chart, with each spike linked to the headlines that drove it.
Free indices to view and cite, an API for full history
The index charts are free to view, share, and cite; the API adds full history and the labeled-news feed.
Free
For viewing, sharing, and citing the index charts, plus recent data for an app.
- All 3 index charts
- View, share, and cite
- Free API key (last 30 days of data)
- 1,000 requests / month
- 60 requests / min
Pro
For full index history and the labeled-news feed behind the indices.
- Full index history via API
- Labeled-news feed via API
- No monthly request cap
- 60 requests / min
- GET /api/v1/indexes and /api/v1/news
FAQ
What is FinanceLab?
FinanceLab publishes news-based indices that track how much the news covers market themes over time: bank and financial stress, energy and oil risk, and crypto.
How is an index built?
Each index is the share of daily news coverage for one theme, weighted toward the most relevant, high-impact articles, indexed to 100 = the 2021-2025 average and 7-day averaged.
How is this like EPU or GPR?
It is the same kind of object as established news-based indices: the Economic Policy Uncertainty index (EPU), the Geopolitical Risk index (GPR), and the Fed financial stress indices. Think Google Trends, but the input is news coverage instead of search interest.
How would I use it?
As a context and control measure: tell whether a theme is unusually in the news, explain a move with the grounded headlines, or condition a model on measured attention instead of memory. Descriptive, not a forecast.
Is this a trading signal?
No. The indices are a descriptive measure of news attention, not a trading signal, not alpha, and not investment advice.
Is this real-time market data?
No. The indices are built from regularly ingested GDELT news, not real-time market data or price feeds.
Can I cite the indices?
Yes. The methodology and validation are public, each index has a stable URL, and every spike links to the source headlines behind it.
What is free, and what does Pro add?
The index charts are free to view, share, and cite, with a free API key for the last 30 days. Pro ($49/month) adds full index history and the labeled-news feed, with no monthly cap.
See how much a market theme is in the news - and why
View the three indices free, or get an API key for full history and the labeled news behind them.