Here you’ll find:
The reaction of Amazon, NVIDIA, and Google to their earnings announcements.
Why the results weren’t as expected and the similarity in the price reactions of the 3.
The clearest message from the intermarket: gold in full stage 1 of price action.
Macro analysis of the American Real Estate sector.
Analysis of the sector’s ecosystem: Prices, Rates, Inventory, and outlook.
Various setups for trading with different technical strategies, in this case, in the tech sector. These are published in the next blog article. #42
A narrative (macro) drift starts when new information challenges accepted facts. Agents selectively choose data that supports their view, resisting change. Over time, reality drifts too far from the dominant narrative, and prices begin to reflect this shift. Highs and lows start forming.
Narratives always lag behind reality. It’s prices that impose the new dominant narrative.”
Today, we’re in a narrative crisis. A revolution brews beneath the surface, and prices are starting to reflect it.
Volume appeared on the dip. This is not the strategy to use at this stage of the asset’s price action. It only resulted in a doji. On the second day, buying volume fell, showing hesitation, which led to selling with volume on the third day.
Buy the dip” did not appear.
Buy the dip in action, but look at the volume… it’s getting lower each time…
All the results, regardless of how one might interpret them, did not align with the dominant narrative.No one expected abnormal CAPEX. For some, it validates their narrative; for others, it validates the opposite narrative.It doesn’t matter. Reality expressed itself through prices.
Here, too, there are dominant and competing narratives. All the time and across all asset categories.
Gold carries several implicit messages. With rates in money markets around 4%, these messages become even stronger. There’s alarm in the markets. This asset is indeed one to trade with the old and beloved “buy the dip.
Construction, the leading sector of the cycle, is showing an increasingly critical situation that is not reflected in mainstream media.
This sector represents ~18% of the American economy. It’s a sector that leads the economic cycle. Due to its business model and demand structure, it’s extremely sensitive to long-term rates (30 years).
This is a limited list of the most “popular” monthly reports in the sector. Due to the time required for data collection and the type of data they reflect, half of them are lagging indicators that reflect what the leading indicators are suggesting.
Knowing that the construction sector is a leading sector, the information it generates leads the macroeconomic cycle.
Excellent reports when interpreted together. Permits are just that—permits granted—while housing starts indicate where construction has actually begun. The lag between them ranges from one month to ~3 months on average.
The indicator below is the yield curve plotted daily through the value generated between the 10-2 year yields. The shaded red area represents the time and depth of the curve inversion at each moment.
This indicator aims to estimate builders’ confidence in the market, particularly the single-family home market. It reflects the same point we analyzed above, but it’s measured differently. It’s a survey of 400 single-family home builders on various aspects of the market.
It’s coincident and leading for permits.It’s clear that from the supply side, the outlook is not good, and production has been falling since the exact moment the curve inverted.
These reports are comparable because both cover the entire new construction market, including single-family and multifamily homes.
The curve inverted, supply began to fall, and sales stagnated. That sounds like a recessionary market in itself, and on top of that, we have inventory to clear.
This index weighs the average family income, the average home price, and mortgage rates. It’s hard, very hard, to buy a house today compared to 3 years ago. Practically twice as hard.
Mortgage rates always have a spread relative to the 30-year Treasury bond rate. Neither the spread nor the 30-year Treasury rates are constant.
If we analyze this solely from the perspective of the level, we can say that mortgage rates are high in historical terms. That’s true.
What’s beneath the surface, as we’ve seen here, is that the market structure for long-term rates is out of balance and with fewer participants each day.
Look at the price of the asset (ETF replicating long-term bonds)—it’s far from what used to be an “equilibrium” price. On top of that, notice how trading volume is falling. This is the market structure for the 30-year rate.
The mortgage rate is built on the 30-year rate. Additionally, the current conditions of uncertainty for the long term are causing the spread between rates to widen. This reflects what we see in the market structure. Everything is interconnected. The Fed cannot allow long-term rates to become unanchored because, if they do, it will have to intervene. In fact, it already did with regional banks. We’ve also seen this here.
We have prices, rates, and inventories at historically high levels. We also have inventory that will lose value over time. We’ve seen this here as well.
Remember, narratives lag behind reality. What we do know, even without fully understanding it, is that a new narrative is emerging. It’s visible in price behavior and across all asset categories.
Well, depending on the asset category, you can trade in almost all styles.
Buy the dip, contrarian, mean reversion—all are correct if we choose the right asset for each, at this moment and for our time horizon.
How important it becomes to be able to trade different assets in times like these.
Well, that’s all for today. As always, the technical setups we’re studying are in the next blog article. For the 10,000th time, this is what we’re seeing and sharing for marketing purposes. THESE ARE NOT TRADING RECOMMENDATIONS.
Remember that starting in March, we’ll be launching a paid version of the service. The reasons for this were already explained in the last episode, so I don’t want to be repetitive. I hope you’ll join us because we need you.