| Indicator | Latest Reading | Why It Matters for Traders | Source |
| Share of US companies with net insider buying | 14.8% (July 2026) | Lowest monthly reading in at least 21 years of tracked data | |
| Change since February 2026 | -12.0 points | Rapid deterioration in insider sentiment over just five months | |
| 10-year average net-buying rate | ~25% | Current reading sits ~7 points below the historical norm | |
| Net-buying rate, January 2022 (for comparison) | ~44% | Shows how far sentiment has swung over the cycle | |
| Large-cap companies with net insider buying | 3.2% | Bearishness is most extreme among the largest, most-followed names | |
| Sectors with net insider buying | Only 3: consumer staples, materials, utilities | Narrows the defensive playbook to a handful of sectors | |
| H1 2026 total insider stock sales | $77.6 billion, +20% YoY | A record pace, with an 11:1 sell-to-buy ratio | |
| AI-linked share of top-10 individual sellers | 8 of 10 | Confirms the selling is concentrated in the sector that has led the 2026 rally | |
| Tech/Media & Telecom (TMT) share of S&P 500 market cap | 49%, a record (9 pts above dot-com peak) | The sector most exposed to a sentiment reversal now dominates index weight |
Stock price, year-to-date performance, and analyst price-target data throughout this report reflect Tickeron's real-time market data and analyst-consensus feeds as of the July 31, 2026 market close.
Recent Form 4 filings compiled by Tickeron show the scale of individual insider selling across some of the market's most-watched names:
| Company | Insiders Selling | Shares Sold | Dollar Value | Week/Period | Source |
| NVDA — NVIDIA ($172.70 at filing) | 3 | 67,046 | Week of 3/23/2026 | ||
| AVGO — Broadcom ($310.51 at filing) | 4 | 164,737 | Week of 3/23/2026 | ||
| AMAT — Applied Materials ($617.11) | 3 | 105,240 | $62.5M | Week noted 7/2026 | User-reported |
| TXN — Texas Instruments ($226.16 at filing) | 3 | 101,297 | Week of 2/16/2026 | ||
| NFLX — Netflix ($1,103.66 at filing) | 4 | 35,754 | Week of 11/10/2025 | ||
| WBD — Warner Bros. Discovery ($27.95 at filing) | 7 | 7,491,270 | Week of 3/9/2026 | ||
| MAR — Marriott International ($347.93 at filing) | 6 | 93,028 | Week of 2/23/2026 |
A few details stand out for retail traders. At WBD, CEO David Zaslav alone accounted for $113.2 million of the $211.1 million sold, alongside the Chief Revenue & Strategy Officer ($44.2M) and CFO ($27.9M) — a broad, senior-level exit rather than a single executive's routine diversification (Tickeron). At MAR, President and CEO Anthony Capuano sold $22.6 million of the $33.4 million total, with the sale landing as the stock traded within striking distance of its 52-week high (Tickeron). At AVGO, the selling arrived even as the stock's own momentum and MACD indicators turned positive on July 30, 2026 — insiders taking profits directly into a bullish technical breakout (Tickeron).
Beyond the seven names above, Tickeron's models flag insider-selling concentration spreading across adjacent corners of the market:
The counterpoint is just as instructive. In the three sectors where insiders are still net buyers, real purchases are visible: Conagra Brands CEO John Brase bought $510,632 of stock (35,000 shares) on July 17, 2026, and Albertsons CEO Susan Morris bought $449,937 (39,409 shares) on July 28, 2026 — both companies feature in the defensive basket below (Investing.com).
These names combine heavy, senior-level insider selling with — in most cases — sharp 2026 rallies that Tickeron's pattern-recognition models read as technically overextended, even where Wall Street's own consensus stays bullish.
| Ticker | Price | YTD 2026 | Wall St. Avg Target | Tickeron AI 30-Day Outlook | AI Watch Level |
| $200.75 | +7.64% | $331.25 (Strong Buy) | Bearish — profit-taking risk after insider clusters near highs | Support near $185–190 | |
| $389.28 | +12.48% | $520.00 (Strong Buy) | Bearish — selling into a fresh bullish MACD cross | Support near $360–365 | |
| $507.67 | +97.54% | $689.00 (Strong Buy) | Bearish — parabolic move stretches valuation | Support near $440–450 | |
| $275.74 | +58.94% | $315.00 (Buy) | Bearish — overbought after a 59% rally | Support near $255–260 | |
| $71.71 | -23.52% | $87.40 (Strong Buy) | Bearish — downtrend continuation risk | Support near $65.08 (52-wk low) | |
| $26.30 | -8.74% | $31.00 (Hold) | Bearish — CEO-led exit signals limited turnaround confidence | Support near $24–25 | |
| $372.83 | +20.17% | $388.80 (Buy) | Bearish — CEO selling into 52-week-high territory | Support near $345–350 | |
| $180.35 | +37.64% | $200.00 (Strong Buy) | Bearish — crowded AI-networking trade, overbought | Support near $160–165 | |
| $476.15 | +122.33% | $619.00 (Strong Buy) | Bearish — parabolic exhaustion after a 122% YTD run | Support near $420–430 | |
| $190.86 | +62.86% | $234.25 (Strong Buy) | Bearish — founder-CEO selling into a 63% rally | Support near $170–175 |
Why these were flagged:
These names sit in the three sectors — consumer staples, materials, and utilities — where insiders remain net buyers, and several show direct executive purchases rather than just an absence of selling.
| Ticker | Price | YTD 2026 | Wall St. Avg Target | Tickeron AI 30-Day Outlook | AI Watch Level |
| $144.49 | +0.82% | $159.80 (Buy) | Bullish | Resistance near $167.25 (52-wk high) | |
| $87.59 | +25.29% | $96.20 (Strong Buy) | Bullish | Resistance near $90.92 (52-wk high) | |
| $14.51 | -16.18% | $15.00 (Buy) | Bullish — contrarian value after CEO insider buying | Resistance near $17–18 | |
| $11.58 | -32.56% | $13.20 (Buy) | Bullish — contrarian value after CEO insider buying | Resistance near $14–15 | |
| $478.38 | +12.19% | $564.80 (Strong Buy) | Bullish | Resistance near $548.20 (52-wk high) | |
| $93.71 | -6.15% | $133.25 (Strong Buy) | Bullish — pullback offers entry in a net-buying sector | Resistance near $110–115 | |
| $294.89 | +19.38% | $343.20 (Buy) | Bullish | Resistance near $314.87 (52-wk high) | |
| $86.92 | +8.27% | $93.33 (Buy) | Bullish | Resistance near $98.75 (52-wk high) | |
| $125.43 | +7.01% | $136.75 (Strong Buy) | Bullish | Resistance near $134.49 (52-wk high) | |
| $94.54 | +8.42% | $102.00 (Buy) | Bullish | Resistance near $100.84 (52-wk high) |
Why these were picked:
The gap between the two baskets is wide enough to be the story on its own. Among the flagged decline candidates, AMD leads with a +122.33% year-to-date gain, followed by AMAT at +97.54%, CRWD at +62.86%, and TXN at +58.94% — four names that have already delivered outsized 2026 returns before insiders started cashing out in size. NFLX is the exception, already down -23.52% for the year even before its most recent Chief Legal Officer-led sale, and WBD is down -8.74%.
The defensive basket tells a more mixed but instructive story. KO is up +25.29% year-to-date, one of the strongest performers in either list, while utilities NEE, DUK, and SO post steadier, single-digit gains of +8.27%, +7.01%, and +8.42% respectively — consistent with their role as low-volatility ballast rather than momentum plays. CAG and ACI are down -16.18% and -32.56% for the year, which is exactly why their CEOs' insider purchases stand out — buying is far more informative when it happens after a stock has already fallen than when it happens near a high.
Tickeron's AI models layer four types of signal before flagging a name for either basket:
The combination of insider-transaction screening, pattern-based technical signals, and sector-rotation tracking is designed to separate names where a bullish analyst target still leaves room for a near-term pullback from names in genuinely under-owned, insider-favored sectors.
Tickeron's AI models expect the ten insider-selling names to face downward pressure over the next 30 days, with AMD, AMAT, CRWD, and ANET carrying the highest reversal risk given how far each has already run in 2026, and NFLX and WBD at risk of extending their existing downtrends. On the defensive side, the models expect KO, NEE, DUK, and SO to grind modestly higher toward their 52-week highs, while CAG and ACI are flagged as the highest-conviction contrarian bounce candidates given fresh CEO buying at multi-year lows.
Tickeron's AI Trading Bots are built around dynamic sector rotation: rather than holding a static basket, the bots continuously reallocate between sectors as momentum and macro conditions shift. Recent live examples include a multi-sector strategy spanning oil, aerospace, and semiconductors that delivered a 135.46% return, an oil-and-semiconductor agent up 94%, and a semiconductors/oil/energy multi-agent strategy up 66.69%, all built on short-interval (15-minute) signal timeframes (Tickeron).
Layered on top of sector rotation are Tickeron's AI Pattern Trading Bots, powered by a proprietary AI Pattern Recognition Engine that has analyzed more than 300 million historical price patterns — breakouts, double bottoms, wedges, channels, and volatility expansions — combined with volatility modeling and sentiment-adjusted pattern confirmation. In backtesting, this engine has delivered up to 123% annualized performance (Tickeron).
At the core of the trend-following layer sit Tickeron's Financial Learning Models (FLMs), which are designed to detect and trade fast-moving sector rotations — including the kind of rotation between insider-favored defensive sectors and insider-abandoned growth sectors described throughout this report. FLMs have generated up to 102.27% annualized returns during recent S&P 500 sector-rotation windows, with individual agents such as a semiconductor-focused strategy tracking MPWR posting an 87.08% gain, alongside new 5-minute and 15-minute AI Trading Agents built for aerospace & defense, semiconductors, and leveraged-ETF rotations (Tickeron).
Together, the AI Trading Bots handle sector-level allocation, the AI Pattern Trading Bots handle technical entry/exit timing, and the FLMs handle trend detection and rotation speed — the same three-layer framework used to build the stock calls in this report. Traders can track live bot performance on Tickeron's Trending Robots page.
This report is for informational and educational purposes only and does not constitute investment advice. Price targets and directional forecasts reflect a combination of Wall Street consensus data and Tickeron's AI model outputs as of July 31, 2026, and are subject to change as market conditions evolve.
Tickeron AI Perspective