# Chip stocks are crashing but trading desks are booming — ride the rotation into big banks

_AI-generated trading idea · LONG · GS, JPM, KRE, XLF_

> Canonical page: https://commonquant.ai/research/for-you/chip-stocks-are-crashing-but-trading-desks-are-booming-ride--a796c767-8f4e-4f83-b968-f5d2ee9efc07

The stock market is experiencing a massive shift right now. Big banks like JPMorgan and Goldman Sachs just reported record-breaking profits from a surge in stock trading, driven by wild market volatility and a major sell-off in tech and chip stocks.

## Idea

JPMorgan and Goldman Sachs just reported their highest quarterly trading revenues ever because clients are panic-selling and repositioning their portfolios amid geopolitical chaos. At the same time, there is a massive sell-off in AI and semiconductor stocks. When tech stocks crash and volatility spikes, big banks make massive fees handling the trading chaos, creating a perfect environment to buy bank stocks while the selling pressure hits the rest of the market.

## Advanced Analysis

### Verdict: the thesis is real, but the trade hasn't happened yet

The strongest case for this idea is that the fundamental windfall is real: JPMorgan's Q2 2026 net income rose 28.3% sequentially to $21.2B, Goldman's climbed 17.7% to $6.6B with operating cash flow swinging from negative $31.9B to positive $6.1B, and both firms keep raising payouts (GS to $14 annually, JPM's trailing dividend at $6.00). The strongest case against is that the trade itself never fires: across 1,233 evaluated daily bars in 60-, 24-, and 12-month windows, the entry — an ETF up more than 2% in one day while semiconductors fall more than 2% the same session — never triggered once, and no robust parameter setup was established after the sensitivity run exceeded its time budget. Meanwhile, ownership filings for the period ending June 30, 2026 show net open-market insider selling of roughly $29.3M at GS and $6.6M at JPM, a slow-burn caution against buying the sector blind today. What would flip the verdict is either the rotation day arriving — a financial ETF closing up over 2% alongside a semiconductor drop of over 2% — or the September 30 ownership filings confirming insider selling accelerated, which would argue for abandoning the watch. Until one of those happens, this is a prepared watch list, not a position. Because the rules are a waiting-on-entry setup rather than a live signal, the right action is to wait and check each session's close.

#### Conviction score breakdown

Composite score computed by the server from the applicable evidence-tier dimensions.

| Measure | Value |
| --- | ---: |
| Thesis support | 72/100 |
| Trade readiness | 35/100 |
| Risk quality | 50/100 |
| Trigger proximity | 15/100 |
| Fundamentals trend | 68/100 |
| Score | 48/100 |
| Composite Score | 48/100 |
| Evidence Tier | rules\_not\_triggered |

#### Decision scenarios

Bull, base, and bear cases synthesized from the cited evidence tier. Likelihoods are rounded evidence-weighted judgments, not statistically calibrated forecasts.

| Measure | Value |
| --- | ---: |
| Evidence Tier | rules\_not\_triggered |

### Trade now: no entry yet — the setup needs a strong up-day first

This is a watch-list setup today. The rules were checked against real daily bars but did not open a trade, so the right move is to wait for the entry conditions rather than buy now. The condition furthest from being met is the one-day momentum gate: XLF, GS, and JPM must each close up more than 2% in the same session. XLF's latest one-day change is -0.11%, GS is -0.20%, and JPM is -1.43% — all far below the 2% trigger. Price sits above the 50-day average on all three names, so that condition is met (XLF at $57.24 versus a 50-day line near $56.72; GS at $1,036.53 versus $1,034.04; JPM at $353.51 versus $348.23). The volatility filter cannot currently be confirmed in the live feed, so it is unresolved as well.

If a trigger fires, the risk frame is already defined. The hard stop is a 2.41% loss and the take-profit is a 4.82% gain — a 2-to-1 reward-to-risk ratio. Harder levels also apply: entries use a bracket around the nearest support (for XLF, the low must touch $56.96 while the close holds above it), stops sit just below the second support ($56.29 for XLF, $977.70 for GS, $347.80 for JPM), and profits are taken at or above the first resistance ($58.00 for XLF, $1,064.46 for GS, $360 for JPM). Position sizing caps any single name at 25% of the book with roughly 2.4% of capital at risk per trade.

"Wait" means exactly this: leave orders aside and check the close each session. The setup needs one sharp rotation day — XLF, GS, or JPM up more than 2% while a support test and a volatility pickup line up — before any position exists. Note that no robust parameter setup was established: the sensitivity evaluation ran out of its time budget before producing a recommendation, so the published thresholds should be followed as-is rather than adjusted.

On the fundamental side, the thesis has support in the numbers: GS swung from a -$32.4B operating cash flow quarter to +$6.1B, JPM grew quarterly net income 28% to $21.2B, and both raised dividends again in 2026 (GS's latest at $5 per share, ex September 1; JPM at $1.50, ex July 6). Insider flow is a mild caution — GS shows $29.3M of net open-market insider selling and JPM $6.6M in the latest filings — but neither changes today's answer, which is to wait for the entry day.

#### GS price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | GS |
| Timeframe | 1d |

#### JPM price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | JPM |
| Timeframe | 1d |

#### KRE price and trigger map

Uses the idea timeframe and keeps price levels on the price axis.

| Measure | Value |
| --- | ---: |
| Ticker | KRE |
| Timeframe | 1d |

### Record trading desks, record profits: the bull case for the bank rotation

The thesis claims that when tech crashes and volatility spikes, big banks print money on trading volumes — and the latest filings back that up. Per Bloomberg's July 14 coverage, JPMorgan saw record profit with stock trading revenue up 86%, and Goldman broke its own stock-trading revenue record again. The reported numbers agree: JPMorgan's Q2 2026 net income came in at $21.2B, up 28.3% from the prior quarter, and Goldman's Q2 net income rose 17.7% sequentially to $6.6B, with operating cash flow swinging from negative $31.9B in Q1 to positive $6.1B and free cash flow of $5.6B. Profitability, not just activity, is following the same pattern. JPMorgan's return on equity reached 5.6% for the quarter (annualizing toward its 15.7% full-year 2025 pace, which sits in the 86.5th percentile of 889 financial-sector peers), and Goldman's quarterly ROE climbed to 5.4% from 4.6% the prior quarter. Both firms are shrinking their share counts — Goldman by 1.1% and JPMorgan by 0.8% in the quarter — so trading-driven profits flow into a smaller per-share base. The dividend trail corroborates management's confidence in the earnings cycle. JPMorgan's trailing dividend runs $6.00 per share with an annual growth rate of 13.2%, and Goldman raised its annual payout to $14 (from $11.50 in 2024, a 38.5% annual growth rate), with a fresh…

#### GS Debt to equity

Debt to equity trend from CommonQuant fundamentals/XBRL data; -12.8% from first to latest point.

| Measure | Value |
| --- | ---: |
| 2009-12-31 | \2.775801114347937 ratio |
| 2010-06-30 | \2.5871388125008465 ratio |
| 2010-09-30 | \2.6047821087275467 ratio |
| 2010-12-31 | \2.433515176586173 ratio |
| 2011-03-31 | \2.525949026480288 ratio |
| 2011-06-30 | \2.532215711205705 ratio |
| 2011-09-30 | \2.639824220979341 ratio |
| 2011-12-31 | \2.582077040026144 ratio |
| 2012-03-31 | \2.503670313721112 ratio |
| 2012-06-30 | \2.420396678333677 ratio |
| Latest Value | \2.420396678333677 ratio |
| Change Pct | \-12.803670773716377 ratio |
| Ticker | GS |
| Timeframe | reported periods |

#### GS sector percentile check

Ranks GS against 877 companies in its sector using CommonQuant fundamentals.

| Measure | Value |
| --- | ---: |
| Free cash flow | \0.6841505131128849th percentile |
| Return on equity | \45.219347581552306th percentile |
| Ticker | GS |
| Sector | Financials |
| Peer Count | 877 |

#### JPM sector percentile check

Ranks JPM against 889 companies in its sector using CommonQuant fundamentals.

| Measure | Value |
| --- | ---: |
| Return on equity | \86.50168728908886th percentile |
| Revenue growth (YoY) | \32.362459546925564th percentile |
| Ticker | JPM |
| Sector | Financials |
| Peer Count | 889 |

### Scores

- **Conviction score breakdown:** 48
- **Thesis support:** 72
- **Trade readiness:** 35
- **Risk quality:** 50
- **Trigger proximity:** 15
- **Fundamentals trend:** 68

### Watch items

- **XLF — One-day price change (ROC 1)**
- **GS — One-day price change (ROC 1)**
- **JPM — One-day price change (ROC 1)**
- **XLF — ATR (14)**
- **XLF — Close vs second support**
- **GS — Close vs second support**
- **JPM — Close vs second support**
- **XLF — Close vs first resistance**
- **GS — Insider net open-market selling**
- **JPM — Quarterly net income**

## Key details

- Symbols: GS, JPM, KRE, XLF
- Timeframes: D1
- Tags: \#banks, \#sector\_rotation, \#volatility

## Community

- Upvotes: 4
- Views: 114
- Copies: 0
- Cosigns: 0

## News sources

- [JPMorgan Sees Record Profit as Stock-Trading Climbs 86%](https://www.bloomberg.com/news/videos/2026-07-14/jpmorgan-sees-record-profit-as-stock-trading-climbs-86-video) — Bloomberg
- [Trillion Dollar Chip Rout Trains Spotlight on TSMC and ASML Results](https://www.bloomberg.com/news/articles/2026-07-14/trillion-dollar-chip-rout-trains-spotlight-on-tsmc-asml-results) — Bloomberg
- [Goldman Breaks Own Stock-Trading Revenue Record Again](https://www.bloomberg.com/news/videos/2026-07-14/goldman-breaks-own-stock-trading-revenue-record-again-video) — Bloomberg

## Related

- [GS trade ideas](https://commonquant.ai/stocks/gs)
- [JPM trade ideas](https://commonquant.ai/stocks/jpm)
- [KRE trade ideas](https://commonquant.ai/stocks/kre)
- [XLF trade ideas](https://commonquant.ai/stocks/xlf)
- [Latest market news](https://commonquant.ai/news)

## About CommonQuant Research

Ideas and Advanced Analysis are generated with fresh, LLM-selected news headlines and grounded in SEC XBRL fundamentals and peer percentiles. Strategies built from these ideas are automatically backtested (12-month and 5-year, walk-forward tuned) and stress-tested before they can go live, then monitored against the news hourly while they run.