War raises energy and food prices, and rising inflation is weighing on the housing market, small caps, and bonds.

Friday (2026-09-11), the major U.S. stock indexes were not very divergent, SPY rose 0.29%, QQQ fell 0.15%; over the past 5 trading days, SPY was down slightly by 0.07%, QQQ rose 0.85%. Putting today's news together, the main line is clear: war is pushing energy and food prices up together, while high interest rates are pushing housing and small companies down, leaving the market with a combination of one side becoming more expensive and the other harder to profit from.

First, look at the most dramatic item. U.S. diesel prices have already surged to 6 dollars per gallon, a record. In plain terms, diesel is the 'economic lifeblood' commonly used by trucks, farm machinery, and construction equipment. Once diesel is expensive, hauling, farming, construction, and delivery—almost the entire chain—becomes more costly. The news points directly to spillovers from the conflicts related to Ukraine and Iran, which have already begun to hit the U.S. economy.

Why does this matter? Because diesel, unlike gasoline, does not only affect commuting to work. Diesel is more like the economy's freight cost. Goods on supermarket shelves, grain from farms, and containers hauled from ports all rely on it. Imagine freight costs rising—companies can hardly absorb it all, and it often gets passed on to consumer prices. To put it bluntly, diesel hitting a record is not just an energy story; it's like a lever pushing inflation higher.

At the same time, the Black Sea crisis has pushed up the other end. One major theme today is a sharp rise in wheat prices due to export disruptions. Plainly speaking, the Black Sea is an important global breadbasket and shipping route; when it's disrupted, the market's immediate worry is that "it can't be shipped out." Food is not an optional consumer good, so once supply is unstable, prices usually react quickly.

Connecting these two news items, the transmission chain becomes complete: escalation or prolonged conflict first raises energy and transport costs, then squeezes food exports, and then sends inflationary pressure back to countries. Once inflation rises, central banks are less willing to cut rates. In plain terms, cutting rates is like lowering the cost of borrowing, but if prices are still hot, central banks are reluctant to loosen.

Then the pressure transfers to real estate. U.S. existing single-family home sales in August fell another 1.9%, marking the third consecutive monthly decline; condominium sales have also dropped to low levels in the data while supply has surged to a 14-year high. The news gave three keywords: mortgage rate 6.76%, high inflation, and high home prices. Put together it's easy to understand: homes aren't cheap, loans aren't cheap, and living costs are still rising, so more households wait on the sidelines and seller inventory instead piles up.

This plain-language transmission is especially critical: high inflation means the Fed is unwilling to cut rates quickly; without rate cuts, borrowing costs remain high; expensive borrowing most often hits real estate and small companies first. Real estate relies on mortgages; small companies rely on financing. One faces higher monthly mortgage payments for buyers; the other endures tighter working capital for businesses.

This also explains why, even within equities, large and small companies feel different. Large companies have steadier cash flows and more financing channels; small companies are like riding a bike into a strong headwind—they struggle when the wind picks up. Today's main newsline is actually reminding the market that a high-cost environment is not gone.

Another supplementary piece of news comes from the U.K. The U.K. economy unexpectedly grew 0.4% in July, and reports singled out AI as a driver. Plainly put, investments, equipment, and services related to AI have pulled up part of the growth. This gives the market a mixed signal: on one hand, the traditional economy is being squeezed by high costs; on the other, AI investment is still propping up growth. As a result, capital will be more selective and won't be spread evenly.

So today's picture is not contradictory: energy and food are driving up "old inflation", while AI makes some of the growth look less bad. The market will think that the economy hasn't immediately shut down, and the central bank has even less reason to pivot. This logic is less friendly to bonds, small-cap stocks, and real estate; for a few names with pricing power or beneficiaries of supply shocks, it could actually be supportive.

Next, look at several ETFs related to the main themes.

First, WEAT, the wheat-related ETF. WEAT actually fell 6.12% over the past 5 trading days. The ETF Radar model is biased positive for the next 1 to 3 months, with fairly consistent signals. One divergence to point out: it fell over the past week, but the model looks at the next 1 to 3 months—short-term pullback has not yet overturned the medium-term direction.

Quantitatively, first, CFTC wheat net long is 14,904 contracts, a week-on-week increase of 28,501 contracts, which is an increase of 210%. Plainly, CFTC positions show how many futures bulls exceed bears; a rising net long indicates more money is betting on wheat strength. Second, this position is at the 100th percentile of its own range. Plainly, in historical terms it's already in the very upper region. Third, WEAT has gained 6.00% in this thematic window, while DBA rose 2.96%, an excess of 3.04%. The plain-language explanation of the excess is that it has risen 3.04% more than a comparable agricultural basket. So today's Black Sea and war news have a real transmission to WEAT.

Next EWZ, the Brazil ETF. EWZ actually rose 0.47% over the past 5 trading days. Looking ahead, ETF Radar is biased positive for the next 1 to 3 months with fairly consistent signals. It has a real connection to today's main theme, because when food is tight, agricultural-exporting countries are more likely to receive valuation support. Plainly, the more the world worries about food shortages, the more the market looks for who can supply it.

Quantitatively, first, EWZ has cumulatively risen 7.86% over the past 38 days, with a maximum drawdown of 8.05%. Maximum drawdown, in plain terms, is how much it fell from a peak at most during that period. Second, its excess versus the relevant benchmark is 1.26%, meaning it has risen 1.26% more than the reference asset. Third, EWZ options implied volatility is at the 92nd percentile historically, and rose 4.47 points over 5 days. Implied volatility, in plain terms, is what the options market estimates future volatility might be; a 92% percentile indicates that expectation is already very high and the market is paying more for insurance against uncertainty. This also serves as a reminder that a positive bias in direction does not mean the road will be smooth.

Third, IWM, U.S. small caps. IWM actually fell 1.70% over the past 5 trading days. The ETF Radar model is biased negative for the next 1 to 3 months with fairly consistent signals. This direction connects with today's themes of weakening real estate and persistent high costs.

Quantitatively, first, IWM is -0.48% in the thematic window, while SPY is +3.64%, an excess of -4.12%. Plainly, it has underperformed the large-cap U.S. market by 4.12%, clearly lagging. Second, the CFTC Russell 2000 net long is -109,499 contracts, at the 0th percentile of its range. Plainly, this is not net long; it's an extreme net short, with large traders clearly betting more on downside. Third, since September 3, real creation/redemption net outflows were -7.06 hundred million dollars, representing -0.90% of assets. Creation/redemption, in plain terms, is whether investors have been consistently taking money out of the fund; outflows represent capital being withdrawn. Fourth, IWM options implied volatility is at the 82nd historical percentile, and protective pricing relative to SPY is higher. Protective pricing, in plain terms, means the market is more willing to pay to guard against its decline. These readings align with the main theme that "high rates make it harder for small companies."

Fourth, AGG, the aggregate bond ETF. AGG actually fell 0.65% over the past 5 trading days. For the next 1 to 3 months, model readings point negative on AGG, with multiple pieces of evidence in the same direction. Its connection to today's main theme is that if inflationary pressure is propped up again by diesel and food, long-term yields will be less likely to fall and bond prices will be under pressure. In plain terms, bond prices and yields often act like a seesaw: when one goes up, the other goes down.

Quantitatively, first, the U.S. 10-year Treasury yield is 4.83%. This is the market's benchmark cost of borrowing for ten years and sits relatively high. Second, the futures-implied federal funds path is about 3.86%. Plainly, this is where the market is betting future policy rates will roughly land. Third, MOVE is 82.09. Think of MOVE as a "bond-market fear gauge"—the higher the number, the less calm the bond market. Fourth, AGG's excess return relative to SPY is -6.34%, meaning it has underperformed the large-cap market by 6.34%. This line ties to today's news, but one point to note: today's war and energy headlines are more short-term, while the medium-term system stance leans toward rate repricing, so the two reinforce each other rather than a single news item deciding everything.

One final note: the U.K. AI-driven growth item gives some sentiment support to tech-oriented names like QQQ, but the stronger medium-term signals from the system today are not in QQQ itself—they are in areas like small-cap weakness, bond pressure, and stronger food. In plain terms, AI is still a bright spot, but right now the market cares more about whether "inflation will stick again."

Putting several news items together today, the core is one sentence: war raises diesel and food prices, making inflationary pressure harder to dissipate, and high interest rates continue to press on housing, small caps, and bonds. A reminder again: the above are the system's quantitative model directional predictions for the general market and do not constitute personal investment advice; consult a licensed investment advisor before investing.