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FLOWSTATE

How to Use This Dashboard

What Is FlowState?

FlowState is a live dashboard that tracks four things at the same time: what's happening in the world, where money is moving, how employment is changing, and how much debt households are carrying. It pulls data from over 12 public sources and updates every 30 seconds.

You don't need a finance background to use it. Each panel shows one part of the picture in plain language. Together, the four panels give you a snapshot of global economic conditions right now.

The Four Panels

Panel 1: Global Events

Shows world events that could move financial markets. Each event is scored 1-10 based on its potential impact. Events are pulled from GDELT (a global event database), BBC, Al Jazeera, and NPR news feeds.

The map shows circles where events are happening. Bigger, redder circles = higher market impact. Hover over a circle to see the event details. Click one to see how similar events affected markets historically.

Impact scores: 7-10 High impact (military action, sanctions, central bank decisions) 4-6 Medium impact (protests, political changes) 1-3 Low impact (statements, routine diplomacy)

Panel 2: Money Movements

Shows where large institutions (BlackRock, Vanguard, JPMorgan, etc.) are moving money. Green arcs on the map = buying into a position. Red arcs = selling. The width of the arc shows how much money is involved.

Below the map you'll see a safe haven signal. When stocks drop and investors move money into gold, treasuries, or cash, the signal tells you. It also shows ETF volume compared to the 20-day average — unusual volume often means big moves are happening.

Position types: CALL Bullish bet (expects price to go up) PUT Bearish hedge (expects price to go down) SHARES Direct stock/ETF ownership

Panel 3: Employment

Shows unemployment rates and labour force participation for 13 major economies. The data comes from the World Bank and is updated as new figures are released.

Color coding: Under 4% Strong employment 4-7% Moderate Over 7% High unemployment

Panel 4: Household Debt

Shows how much debt households are carrying compared to their income, plus savings rates and credit card balances where available. High debt-to-income ratios mean households are stretched thin.

Color coding: Under 100% Manageable 100-150% Elevated Over 150% High stress

Country Dropdown

Every panel has a country dropdown at the top. Set it to "Global" to see worldwide data, or pick a specific country to filter that panel's data to just that region. Each panel filters independently — you can look at Australian debt while viewing global events.

AI Disruption Feed

Below the four panels, a horizontal feed scans for events related to AI, automation, semiconductors, supply chain disruptions, and critical resource shortages. Each card shows the trigger event and traces its potential flow-on effects through the economy.

Today's Picture

A plain-English summary that pulls key numbers from all four panels and puts them into one paragraph. This updates automatically as new data arrives.

Crisis Deep Dives

Cached research reports that go deeper into specific crisis situations. These are standalone documents with verified data, sourced citations, and cached copies of all referenced sources (so the evidence survives even if original pages are taken down).

Generate Snapshot Report

The "Generate Snapshot Report" button in the header creates a date-stamped HTML file that captures the current state of everything on the dashboard. It's a single file you can save, email, or share. It works offline — no internet connection needed to read it once downloaded.

Time Machine Mode

Switch from "LIVE" to "TIME MACHINE" to replay historical crisis periods. Currently available: COVID crash (March 2020), Global Financial Crisis (September 2008), and 9/11 (September 2001). Step through dates to see how events, prices, and institutional flows changed day by day.

Data Sources

Disclaimers

This site displays publicly available data for informational purposes only. Nothing on this site constitutes financial advice. Historical patterns do not predict future movements. Employment, debt, and demographic data may lag by weeks or months depending on the source.

Institutional flow data comes from quarterly SEC 13F filings — these are backward-looking snapshots, not real-time positions. ETF volume data is used as a proxy for fund flows and is an estimate, not a precise measurement.