You don't need a finance degree, a math background, or a statistics textbook to understand what's happening. Here is the entire system explained with simple analogies, interactive visuals, and zero jargon.
Imagine a popular bakery in town that invents a delicious new croissant. At first, customers love it and happily pay $4.
Then people start saying: "In 5 years, everyone on Earth will eat 10 croissants a day!" Speculators rush in, buying up ovens, flour, butter, and all the croissants they can find. The price of a croissant jumps to $20, then $80, then $250.
A bubble occurs when stock prices are driven by people rushing to buy because "prices are going up tomorrow", rather than by how much real cash the companies actually earn. When expectations get impossibly high, even tiny bad news can cause people to head for the exit at once.
Think of this like an outdoor weather thermometer. When it’s 0°, it’s freezing ice. When it’s 100°, the water is boiling hot. It takes 6 different gauges and combines them into one simple number.
Where does the temperature come from? It listens to 6 different "heartbeats" in the financial system. Here is what each one actually listens for:
Normal cruising speed is 65 mph. If AI stocks suddenly surge to 140 mph over a 60-day stretch, they might cover ground quickly, but any tiny obstacle on the road can cause a devastating crash. When momentum stretches way above normal, the gauge gets hot.
AI complex momentum 60d.
Stock investors can be emotional dreamers, but bond lenders are strict accountants. When bond lenders charge risky companies virtually the same low interest rate as rock-solid governments, nobody is respecting risk. That "complacency" is a classic late-stage bubble warning.
HY credit spread (OAS). Lower spread = hotter temperature.
If prices are sitting at their absolute 1-year high (0% drawdown), everyone who bought recently is in profit and feelings of invincibility run rampant. If prices are already down 20% from the peak, the euphoria has already drained away.
Drawdown from 250d high. 0% = standing right at the peak.
There are 500 great American companies (S&P 500). If money is only pouring into the 22 AI companies while banks, hospitals, grocery chains, and factories get completely ignored, the boat is tilting. When everyone owns the same trade, who is left to buy?
AI complex vs equal-weight S&P.
When a tiny handful of mega-companies (Nvidia, Apple, Microsoft, Alphabet, Amazon) make up 35%+ of the entire stock market, the index isn't diversified anymore. If just one of those giants stumbles on earnings, the entire stock market falls with it.
Cap-vs-equal-weight spread (concentration).
Bitcoin doesn't have data centers or earnings reports; it trades on pure animal spirits. When Bitcoin is zooming upward, it tells us that investors have excess cash and are in a fearless, speculative gambling mood.
BTC momentum 30d.
The dashboard translates the numbers into 5 clear states so you don't have to guess:
Prices are rising in an orderly trend. No alarming signs of madness or credit stress. Enjoy the ride.
Temperature is above 70. Everyone is talking about riches. Fragile conditions where risk/reward is worst.
Smart institutions quietly sell into the enthusiasm while retail buyers are still eager. Short-term momentum turns down.
AI stocks drop 25%+ from their peaks. Reality sets in, valuations compress, and latecomers nurse losses.
Deep sell-off (>30% drop) where panic exhaust itself and prices start stabilizing. Historically the best entry zone.
Stock prices can move on rumors and tweets for months, but in the long run, money is real.
We track two critical numbers every single quarter:
| Combined Tech CapEx | $166.6 Billion / quarter |
| CapEx Growth vs Last Year | +89.3% YoY |
| Nvidia Revenue Growth | +106% YoY |
| Anchor Period | 2026 Q2 |
As long as these cash numbers are roaring upward, the boom has real fuel behind it.
Every morning, our machine learning model looks at current momentum, interest rates, and bond spreads, and calculates a percentage probability that AI stocks will be higher 5 trading days from now.
Unlike typical Wall Street gurus who hide their bad calls, every single forecast is written into a permanent public ledger. Once 5 days pass, the computer grades the prediction:
Predicting short-term stock movements over 5 days is notoriously difficult because random news happens every day.
By constantly measuring ourselves against a permanent baseline ("what if we just guessed 50/50 every day?"), you can see with your own eyes whether the machine is actually providing an edge or if the market is purely random noise right now.
Whenever you visit the dashboard in the morning, just ask yourself these 4 questions:
expansion (steady uptrend) or has it shifted to distribution (smart money selling) or euphoria (parabolic melt-up)?