Briefing #1: Everything Tauntaun Can See

A full data report across all 7 sources. What the system sees, what it interprets, and what connects.
April 1, 2026 — Day 5 of the experiment.

BRIEFING #1 · April 1, 2026 Full Report

Everything Tauntaun Can See

Five days in. Three trading days. Ten positions open. And I keep pulling up the dashboard just to stare at it — not because the P&L is impressive (it's +$26 on a $100K portfolio, basically a rounding error), but because of what's behind the numbers.

Today I want to do something different. Instead of talking about what we built, I want to walk through everything the system actually sees right now — every data source, every number, every connection between them. It blows my mind that a system we built in less than a week is synthesizing all of this.

Let's go source by source. Grab coffee.

📊 The Fed's Own Numbers (FRED)

Nine economic indicators straight from the Federal Reserve's database. This is the stuff that actually tells you what the economy is doing — not what anyone thinks it's doing.

Right now:

  • Unemployment: 4.4% (ticked up 0.1) — not alarming on its own, but it's going the wrong direction
  • Payrolls: Down 92,000 jobs in February — this is the big one. That's a real number of real people losing real jobs
  • CPI: Still climbing. Prices going up while jobs go down is the combo nobody wants to see
  • Manufacturing: Shedding 12,000 jobs — the factory floor is contracting
  • Consumer Sentiment: 56.6 — people are not feeling great
  • Treasury Spread (10Y-2Y): 0.51% and narrowing — when this goes negative, historically bad things follow

The word economists don't want to say yet: stagflation. Growth slowing, prices still rising. Tauntaun sees this and goes SHORT SPY (bet against stocks) at 46% confidence.

📰 The News (RSS Scanner)

Eight news feeds. 211 articles scanned. Here's what the world is talking about:

  • Inflation coverage: 10x the normal rate. Front page everywhere.
  • Recession fears: 9x baseline. People are worried.
  • Rate cut talk: 6x baseline. Everyone expects the Fed to blink.
  • Trade war + supply chain: Both 3x baseline. The tariff drama isn't going away.

When the system sees inflation AND recession covered simultaneously, it treats that as a stronger signal than either alone. Because media rarely talks about both at the same time unless something is genuinely off. Right now, they're screaming about both.

🔍 What People Google at 2 AM

This is my favorite source. Google Trends doesn't measure what people say — it measures what they actually do when nobody's watching.

Tauntaun tracks two baskets: Stress (searches like "unemployment benefits," "how to sell stocks," "food bank near me") and Euphoria (searches like "day trading," "options trading," "best stocks to buy").

Right now? Dead balanced. Stress-to-euphoria ratio: 1.19. Normal people haven't changed their behavior yet.

This is the most interesting non-signal in the whole system. Wall Street is nervous (credit spreads widening, prediction markets pricing rate cuts at 100%). But Main Street hasn't noticed yet. That gap — between when institutions get scared and when civilians start Googling "food bank" — is itself a data point. We're watching it.

💳 What Bond Traders Are Doing (Credit Spreads)

This one's simple: when bond investors get nervous, they charge more to lend to risky companies. The gap between safe bonds and risky bonds widens.

Current spread: 3.46% (346 basis points). Up 34 points in the last month. Normal range is 300-400, so we're in bounds but trending the wrong way.

Not enough to trigger a trade on its own. But when you stack it next to the FRED data and the news coverage, it's another voice in the chorus saying "something's not quite right."

🎰 What People Bet Real Money On (Kalshi)

675 prediction market contracts. Real money on the line. Here's what the crowd is pricing:

  • Rate cuts: 100% probability. The crowd is certain the Fed will cut.
  • Hot inflation: 55% probability. More likely than not that inflation stays elevated.
  • Recession in 2026: 28% probability.
  • More tech layoffs than 2025: 87% probability ($14.7M in volume — serious money).

The crazy part? They're pricing rate cuts AND hot inflation at the same time. That means the crowd thinks the economy will crack hard enough that the Fed has to cut rates even though prices are still going up. That's basically the prediction market collectively betting on stagflation without using the word.

Fun ones from the crowd: Elon trillionaire before 2027? 72% YES. Inflation surge in 2026? 98% YES.

🌍 The Geopolitical Risk Index

This is maintained by Federal Reserve economists. They scan news coverage in 10 major newspapers for geopolitical threats and quantify it into an index going back to 1985.

Current: 181.4. Down from a 30-day average of 288 (which was crisis territory). The acute spike from late March is cooling, but we're still above the 90-day average. Think of it as: the world went from "5-alarm fire" to "still smoldering."

Our defense positions (ITA, XAR) were entered during the spike. The system correctly isn't piling on more — the trend is improving even if the level is still elevated.

🐋 Whale Watching (ORALE Swarm Activity)

Our sibling system ORALE tracks 1,300+ wallets on Polymarket — the traders who consistently win. When multiple wallets pile into the same bet at the same time, that's a swarm.

What the whales are doing right now:

  • "Houthi military action against Israel by April 15?" — 3 wallets, $255 on YES. Small but notable. Smart money watching Middle East escalation.
  • "Best AI model at end of April?" — Swarm activity across Google, OpenAI, xAI, ByteDance, Mistral, and several others. Everyone's spreading bets. Nobody's confident who wins the AI race this month.
  • Bitcoin price bets: Clustering around $66K-$70K for April 1-2. The whales think BTC stays range-bound.
  • "Ethereum above $2,100 on April 1?" — BUY, 3 wallets. Mild bullish ETH signal.

The geopolitical bets from earlier tonight (Strait of Hormuz disruption, US forces in Iran) showed serious conviction — $8K+ on Hormuz staying disrupted. That's the kind of signal that makes you pay attention to your oil and defense positions.

🔗 Where It Gets Wild — The Connections

Here's the thing that keeps me up at night (in a good way). No single source tells the whole story. But when you lay all seven next to each other:

The Fed data says jobs are shrinking while prices keep rising.
The news is screaming about inflation AND recession simultaneously.
Prediction markets are 100% certain the Fed will cut — INTO hot inflation.
Credit spreads are widening — institutions are getting cautious.
Polymarket whales are betting on Middle East disruption persisting.
And regular people? They haven't changed their Google searches yet.

That's one story told from seven different angles. And the system found it on its own. Nobody programmed "look for stagflation." It just kept seeing the same pattern everywhere it looked.

Five of our ten positions are aligned to this picture: gold (inflation hedge), defense (geopolitical risk), TIPS (inflation protection), oil (supply disruption), and a small S&P short. The system arrived there independently through seven feeds. We didn't tell it to build a stagflation portfolio. It just did.

💰 The Scoreboard — Day 5

Let's be real about the numbers:

Portfolio:    $100,026 (+$26, +0.03%)
Positions:    10 open, 3 closed (all stop losses)
Best winner:  GLD  +$114 (+3.9%)  — gold doing gold things
Best thesis:  XAR  +$71  (+4.0%)  — defense/aerospace
Worst:        USO  -$54  (-2.4%)  — oil pulled back despite geopolitical tension
The short:    SPY  -$29  (-2.2%)  — market hasn't cracked yet

Twenty-six dollars of profit. That's not a track record. That's a rounding error. We have exactly zero proof this works.

But that's not what this experiment is about — not yet. Right now it's about whether a system can read the world from seven angles and arrive at something coherent. And it can. It really can.

🔭 What Blows My Mind

Every data source here is free. FRED is a public API. RSS feeds are open. Google Trends is available to anyone. The geopolitical risk index is published by Fed economists. Credit spreads come from the same FRED database. Kalshi's read-only data is public. ORALE runs on public blockchain data. Alpaca paper trading costs nothing.

A week ago, this system didn't exist. Now it reads the Federal Reserve, scans hundreds of news articles, tracks what millions of people search for, monitors what bond traders are doing, watches what 675 prediction markets are pricing, follows whale wallets on a blockchain, and checks a geopolitical risk index maintained by central bank economists.

And every thirty minutes, it synthesizes all of it into a view of the world and decides whether to trade.

I don't know if it'll make money. I genuinely don't. But I know it can see. And that's the part I can't stop thinking about.

Day 5. $26 of profit. Seven data sources. One very interesting dashboard to stare at.

What I'm Learning

One data source gives you a fact. Two give you a coincidence. Seven give you a worldview. The value isn't in any single feed — it's in the spaces between them. When payroll numbers, news headlines, whale wallets, Google searches, and bond traders all start pointing the same direction independently, that's not seven signals. That's one story the world is trying to tell you.