# Every Insider Is Selling???
**Date:** 2026-02-08  
**Source:** [YouTube](https://www.youtube.com/watch?v=tSCc9MIACz8)

## Main Thesis
The market is showing signs of late-cycle investing with broadening leadership beyond big tech, but also potential weakness and increased volatility, particularly with insiders selling and options activity indicating a 'put wall' that could lead to bounces or waterfall effects.

## Charts & Technical Analysis

### 1. US500 Index (1D)

**Bias:** NEUTRAL
**Pattern:** consolidation/range-bound
**Key Levels:** 6729.7 support, 6921.9 current price
**Historical Comparison:** null

The chart shows the US500 Index trading sideways since October 2025, with a current price of 6921.9 and a key support level at 6729.7. The speaker highlights that the top 200 insider transactions in the past week were all sells, indicating a potential late-cycle investing environment.

### 2. Silver (1D)

**Bias:** NEUTRAL
**Pattern:** capitulation/sharp drop
**Key Levels:** 77.9410 current price, 65.3342 next support, 114.0377 high
**Historical Comparison:** null

Silver experienced a significant drop from its highs, hitting potential capitulation levels. The speaker notes increased options dark pool activity, suggesting a potential turning point or increased volatility.

### 3. MAGS (Magnificent Seven ETF) (1D)

**Bias:** NEUTRAL
**Pattern:** consolidation/range-bound
**Key Levels:** 63.11 current price, 62.93 support
**Historical Comparison:** null

The Magnificent Seven ETF (MAGS) is shown trading in a range since October 2025, with a current price of 63.11 and support at 62.93. The speaker emphasizes that this market is different from last year, with different stocks moving, and highlights the importance of identifying which ones to watch for opportunities and concerns.

### 4. Job Openings per Unemployed Worker (monthly)

**Bias:** BEARISH
**Pattern:** decline from peak
**Key Levels:** 0.20 low (post-COVID), 2.01 high, 0.87 current
**Historical Comparison:** compared to previous recessions (grey bars)

This chart illustrates the ratio of job openings to unemployed workers, showing a peak of 2.01 post-COVID and a decline to 0.87. The speaker notes that while it's normalizing, a level below 0.7 might be a concern, indicating a weakening job market, particularly in software engineering and AI-impacted industries.

### 5. S&P 500 sub-sectors YTD performance (YTD)

**Bias:** NEUTRAL
**Pattern:** divergence in sector performance
**Key Levels:** +19.2% Hardware (Tech), -17.0% Software (Tech)
**Historical Comparison:** null

This bar chart shows the year-to-date performance of various S&P 500 sub-sectors. Hardware (Tech) and Energy are up significantly (+19.2% and +17.4% respectively), while Software (Tech) and Communication Services are down (-17.0% and -4.7%). The speaker highlights that the market is broadening but in different sectors, suggesting that knowing where to look is key.

### 6. Weight of the 7 largest stocks in the S&P 500 (yearly (1980-2030))

**Bias:** NEUTRAL
**Pattern:** skyrocketing concentration
**Key Levels:** 37-40% current weight
**Historical Comparison:** historical market cap and LTM earnings

The chart shows the increasing weight of the 7 largest stocks in the S&P 500, currently reaching 37-40% of the overall index. The speaker notes that if these large stocks aren't performing well, it's difficult for the index to move, emphasizing the need to look beyond the headline index performance.

### 7. S&P 500 Component Correlation (daily (Jan 1996 - Feb 2026))

**Bias:** BEARISH
**Pattern:** disjointed market
**Key Levels:** 0.2 correlation low
**Historical Comparison:** dot-com bubble period (early 2000s)

This chart displays the S&P 500 (top) and its component correlation (bottom). The correlation has dropped to historically low levels (around 0.2), similar to the dot-com bubble. This indicates a disjointed market where many stocks are pushing new highs while others are sinking to new lows, suggesting a 'buy certain things' market rather than a 'buy everything' market, and potentially a warning sign.

### 8. S&P 500, Total Put Volume, Total Put/Call Ratio (daily (2024-2026))

**Bias:** BULLISH (SHORT-TERM)
**Pattern:** put wall / waterfall effect
**Key Levels:** 1.0 put/call ratio high
**Historical Comparison:** null

The chart shows the S&P 500, total put volume, and total put/call ratio. The put/call ratio spiked to 1.0, indicating extreme bearishness. The speaker explains that when so many people turn bearish, it creates a 'put wall' that makes it difficult for markets to go down, often leading to a bounce or 'waterfall effect' if they do break down. This suggests a short-term bullish bounce is likely.

### 9. Implied Volatility Rank - SPY (daily (Oct 2025 - Feb 2026))

**Bias:** BULLISH (SHORT-TERM)
**Pattern:** IV crush
**Key Levels:** 14.67% IV Rank, 688.40 Underlying
**Historical Comparison:** null

The chart shows the implied volatility (IV) rank for SPY (yellow line) and the underlying price (blue line). The IV rank got 'crushed' throughout the last session as the market rallied. The speaker notes that an IV crush often precedes a market turning point, bringing in the bulls, and was observed in 2025 as well.

### 10. IBIT (Bitcoin ETF), Put Volume, Volume (# of shares) (daily (2024-2026))

**Bias:** NEUTRAL
**Pattern:** spike in put volume and shares volume
**Key Levels:** 1.369 million put volume, 284 million shares volume
**Historical Comparison:** null

The chart shows IBIT (Bitcoin ETF) price, put volume, and volume of shares. Put volume spiked to 1.369 million and share volume to 284 million as Bitcoin dropped to a significant demand zone between 60k and 68k. The speaker speculates if this could be related to President Trump buying Bitcoin for the US strategic reserve, highlighting that high activity means both buyers and sellers.

### 11. Bitcoin: Down at Least 3% Each Day for 3 Consecutive Days (Since 2015) (daily (2015-2026))

**Bias:** BULLISH (SHORT-TERM)
**Pattern:** capitulation leading to recovery
**Key Levels:** 3% consecutive daily drops
**Historical Comparison:** historical instances of 3-day consecutive 3% drops

This chart analyzes Bitcoin's performance after experiencing at least three consecutive days of 3% or more declines. The speaker notes that when Bitcoin capitulates in this manner, the recovery is often strong, with a 5-day percentage change being positive 80% of the time, averaging a 10% gain. This suggests a short-term bullish outlook for Bitcoin after its recent drop.

### 12. IGV (software ETF) Call Volume, XLP (consumer staples ETF) Put Volume (daily (2021-2026))

**Bias:** BEARISH (IGV), BULLISH (XLP)
**Pattern:** divergence in options activity
**Key Levels:** 252,000 call volume (IGV), 764,000 put volume (XLP)
**Historical Comparison:** null

The chart shows IGV (software ETF) with a massive spike in call volume (252,000) as its price drops, and XLP (consumer staples ETF) with a huge spike in put volume (764,000) as its price rallies. The speaker advises going with the flow, meaning being negative on IGV and positive on XLP, as the market is showing a clear delineation in sentiment.

### 13. S&P 500 Performance in the 12MT March-February Time Frame (yearly (1940-2026))

**Bias:** BULLISH (LONG-TERM)
**Pattern:** historical market performance after January/February setup
**Key Levels:** 46/3 positive vs negative 12-month returns
**Historical Comparison:** historical data from 1940 onwards

This table presents historical S&P 500 performance based on January/February returns. The speaker highlights that 2025 managed to eke out a positive return. More importantly, 46 out of 49 times (46/3 ratio) when the January/February period had a certain setup, the next 12 months were generally positive for markets, suggesting a long-term bullish bias.

### 14. S&P 500: 3+ Hindenburg Omens in past month (daily (2018-2026))

**Bias:** NEUTRAL (SHORT-TERM VOLATILITY)
**Pattern:** Hindenburg Omens
**Key Levels:** 3 Hindenburg Omens
**Historical Comparison:** historical instances of Hindenburg Omens

The chart shows the S&P 500 and the number of Hindenburg Omens in the past month. Three Hindenburg Omens have been triggered recently. The speaker notes that while this doesn't usually mean a crash, it does indicate increased volatility for the next couple of months.

### 15. Total debt issuance broken down into short- versus medium- and long-term, in % GDP (4qma) (yearly (2000-2025))

**Bias:** NEUTRAL (VOLATILITY-INDUCING)
**Pattern:** expansion of central bank liquidity
**Key Levels:** expanding central bank liquidity
**Historical Comparison:** null

This chart displays total debt issuance for various countries, broken down by short-term and long-term debt. The speaker highlights that central bank liquidity has been expanding in recent years, which has helped markets stay afloat. However, the new Fed chairman might pull back some of this policy, leading to less liquidity and increased volatility and opportunity.

### 16. EM sovereign credit spreads have been declining (yearly (2005-2025))

**Bias:** NEUTRAL
**Pattern:** declining credit spreads
**Key Levels:** 3.16 EM HY OAS, 1.77 EM Sov. Credit OAS
**Historical Comparison:** null

The chart shows declining EM sovereign credit spreads. The speaker notes that credit spreads haven't spiked up, which is generally a positive sign, but also reiterates the potential for reduced central bank liquidity to create volatility.

### 17. CBOE Equity Volatility Index (Blue, left scale) vs. ICE BofA MOVE Index (Red, right scale) (daily (1990-2026))

**Bias:** NEUTRAL
**Pattern:** no freak out in bond market
**Key Levels:** no significant spike in bond market volatility
**Historical Comparison:** null

This chart compares the CBOE Equity Volatility Index (VIX) and the ICE BofA MOVE Index (bond market volatility). The speaker notes that the bond market has not 'freaked out' yet, meaning bond market volatility has not spiked significantly. This is a key indicator, as a bond market freak out would signal deeper systemic issues.

### 18. JPM (JPMorgan Chase & Co.) (1D)

**Bias:** BEARISH
**Pattern:** distribution
**Key Levels:** 290 support, 322.20 current price
**Historical Comparison:** null

The chart shows JPMorgan Chase & Co. (JPM) price action. The speaker points out what could be distribution on the banks, with multiple transactions occurring at higher levels. A break below the 290 level would be significant, indicating weakness in the financial sector, which often leads the broader market.

### 19. S&P 500 Energy Sector (yearly (1992-2024))

**Bias:** BULLISH
**Pattern:** strong upward trend
**Key Levels:** 95% of Energy stocks above 200 dma
**Historical Comparison:** null

This chart shows the S&P 500 Energy Sector and the percentage of energy stocks above their 200-day moving average. The energy sector looks 'pretty solid' with good statistics, having been the 'most hated sector' in the last two years but now performing well. This aligns with the theme of market broadening beyond tech.

### 20. S&P 500 - Quarterly EPS Estimates (quarterly (Jan 2025 - Jan 2026))

**Bias:** BULLISH
**Pattern:** upward revision of estimates
**Key Levels:** rising EPS estimates
**Historical Comparison:** null

The chart displays S&P 500 quarterly EPS estimates, showing an upward trend across all quarters. The speaker notes that earnings have been 'decent' and are still keeping the market up, suggesting underlying strength despite other concerns.

### 21. SILVER SPOT (XAGUSD) 3-YEAR Trending Analysis (daily)

**Bias:** NEUTRAL
**Pattern:** capitulation
**Key Levels:** 68-69 support zone
**Historical Comparison:** null

This chart shows Silver Spot price action. The speaker notes that Silver recently 'blew off' and hit a significant support level around 68-69. While the speaker was a 'huge silver bull' last year, the current stats are 'mediocre to say the least' after the recent drop, suggesting a cautious approach despite the bounce.

### 22. LQD (iShares iBoxx $ Investment Grade Corporate Bond ETF) (1D)

**Bias:** NEUTRAL
**Pattern:** consolidation
**Key Levels:** 110.56 current price
**Historical Comparison:** null

The chart shows the LQD Corporate Bond ETF. The speaker notes that bond markets are still not 'freaking out', indicating a lack of significant stress in the credit markets. This is a positive sign for overall market stability.

### 23. XLY/XLP (Consumer Discretionary / Consumer Staples Ratio) (1D)

**Bias:** BEARISH (CONSUMER DISCRETIONARY)
**Pattern:** head and shoulders (completed sell pattern)
**Key Levels:** 1.34 current ratio
**Historical Comparison:** null

This chart shows the ratio of Consumer Discretionary (XLY) to Consumer Staples (XLP). The speaker identifies a completed head and shoulders pattern, indicating that consumer discretionary is weakening relative to staples. This suggests that the American consumer might be facing difficulties, and the market is turning more defensive.

### 24. US10Y (US Government Bond 10YR Yield) (1D)

**Bias:** BULLISH (FOR OIL)
**Pattern:** stabilization and upward movement
**Key Levels:** 4.208% current yield, 4.199% support
**Historical Comparison:** null

The chart shows the US 10-year Treasury yield. The speaker notes that yields stabilized and went up throughout the Friday session. If yields continue to rise, it could be very good for oil, which has been a focus recently.

### 25. USOIL (CFDs on Crude Oil WTI) (1W)

**Bias:** BULLISH
**Pattern:** bounce off key breakout
**Key Levels:** 63.519 current price, 61.869 key breakout
**Historical Comparison:** null

The chart shows US Oil prices. The speaker highlights that US Oil bounced off a key breakout zone around 61.869, indicating strength. This aligns with the bullish outlook for oil if yields continue to rise.

### 26. XOP (State Street SPDR S&P Oil & Gas Exploration & Production ETF) (1W)

**Bias:** BULLISH
**Pattern:** breakout and close above resistance
**Key Levels:** 146.41 current price, 138.71 breakout level
**Historical Comparison:** null

The chart shows the XOP Oil & Gas Exploration & Production ETF. The speaker notes that XOP broke and closed above its resistance level, showing strength throughout the energy sector. This reinforces the bullish sentiment for energy stocks.

### 27. XLE (State Street Energy Select Sector SPDR ETF) (1W)

**Bias:** BULLISH
**Pattern:** skyrocketing upward trend
**Key Levels:** 53.25 current price
**Historical Comparison:** null

The chart shows the XLE Energy Select Sector ETF. The speaker emphasizes that the energy sector has been 'skyrocketing' and performing phenomenally, reinforcing the bullish outlook for energy stocks.

### 28. OIH (VanEck Oil Services ETF) (1W)

**Bias:** BULLISH
**Pattern:** strong upward trend
**Key Levels:** 367.11 current price, 228.90 support
**Historical Comparison:** null

The chart shows the OIH Oil Services ETF. The speaker highlights the strong upward trend in oil services, noting it has been 'phenomenal' and that the community identified this early, emphasizing the importance of 'thinking outside the box' and not just following the press.

### 29. XLP/XLK (Consumer Staples / Technology Ratio) (1D)

**Bias:** BULLISH (DEFENSIVES), BEARISH (TECH)
**Pattern:** defensives beating tech
**Key Levels:** 0.6231 current ratio
**Historical Comparison:** null

This chart shows the ratio of Consumer Staples (XLP) to Technology (XLK). The speaker notes that defensives are beating out tech, indicating a shift in market leadership towards more defensive sectors.

### 30. SMH (VanEck Semiconductor ETF) (1D)

**Bias:** BULLISH
**Pattern:** rebound, upward trend
**Key Levels:** 401.65 current price, 376.62 support
**Historical Comparison:** null

The chart shows the SMH Semiconductor ETF. The speaker notes that semiconductors have rebounded and are still in an upward trend, holding onto their 50-daily moving average. This suggests continued strength in the semiconductor sector.

### 31. NVDA (NVIDIA Corporation) (1D)

**Bias:** BEARISH (IF SUPPORT BREAKS)
**Pattern:** potential head and shoulders
**Key Levels:** 185.41 current price, 169.80 support, 148.88 call wall, 134.27 positive gamma call wall, 116.33 most traded zone
**Historical Comparison:** null

The chart shows NVIDIA (NVDA) price action. The speaker highlights that NVDA came off 170 and if that level is broken, a 'nasty head and shoulders' pattern could form. Given NVDA is one of the biggest stocks in the world, this could lead to things getting 'pretty sick, pretty quickly', making it a key stock to watch.

### 32. DXY (US Dollar Index Futures) (1M)

**Bias:** NEUTRAL
**Pattern:** held trendline
**Key Levels:** 97.505 current price, 96.025 last bulls, 100.155 resistance, 108.400 watch reaction here
**Historical Comparison:** null

The chart shows the US Dollar Index (DXY) on a monthly timeframe. The speaker notes that DXY held onto a massive trendline, indicating a neutral to slightly bullish bias for the dollar.

### 33. GOLD (Gold / Australian Dollar) (1D)

**Bias:** NEUTRAL
**Pattern:** stabilization after spike
**Key Levels:** 4965.83 current price, 4321.65 massive support
**Historical Comparison:** null

The chart shows Gold (XAU/USD) price action. Gold managed to spike back up to just under 5000 after a significant drop, but is now stabilizing. The speaker notes that while it doesn't look 'hideous', it's just stabilizing after a 'pretty big crush'.

### 34. VIX (Volatility S&P 500 Index) (1D)

**Bias:** NEUTRAL
**Pattern:** crushed volatility
**Key Levels:** 17.77 current price, 12.68 support
**Historical Comparison:** null

The chart shows the VIX index. The speaker notes that the VIX got 'crushed' in a 'pretty big crush day'. While there could be statistical analysis around this, in general, volatility is quick to shake out in this system.

### 35. HSI1! (Hang Seng Index Futures) (1W)

**Bias:** BULLISH
**Pattern:** bounce off support
**Key Levels:** 27,053 current price, 26,694 support, 29,133 resistance
**Historical Comparison:** null

The chart shows the Hang Seng Index Futures. Chinese stocks bounced back up off a support level around 26,700. The speaker notes that they still remain in an upward trend into the Chinese New Year, which is often a positive time for them.

### 36. MAGS/SPY (Magnificent Seven / S&P 500 Ratio) (1D)

**Bias:** BEARISH (BIG TECH)
**Pattern:** weakening big tech
**Key Levels:** 0.0914 support
**Historical Comparison:** null

This chart shows the ratio of the Magnificent Seven to the S&P 500. The speaker highlights that big tech is weakening relative to the broader market. This is not what the speaker would like to see in an early or mid-cycle market, suggesting a bearish outlook for big tech's continued dominance.

## Regime / Cycle Analysis
The market is in a late-cycle investing phase, characterized by broadening leadership beyond big tech, a weakening job market (especially in tech), and increasing volatility. Central bank liquidity has been expanding, but there's a risk of policy pullback. The bond market has not yet 'freaked out', which is a crucial indicator. The market is disjointed, with some sectors performing well (energy, hardware tech) while others are struggling (software tech, communication services). This requires a selective approach rather than a 'buy everything' strategy.

## Key Calls & Predictions
- The top 200 insider transactions in the past week were all sells, indicating potential late-cycle investing.
- Silver and other metals hit potential capitulation levels, suggesting increased volatility.
- The job market is weakening, particularly in software engineering and AI-impacted industries.
- The market is broadening, with strong performance in hardware tech and energy, but weakness in software tech and communication services.
- The weight of the 7 largest stocks in the S&P 500 has skyrocketed to 37-40%, making the index vulnerable if these stocks falter.
- S&P 500 component correlation is at historical lows, similar to the dot-com bubble, indicating a disjointed market and potential warning sign.
- Extreme bearishness in options (put wall) often leads to short-term market bounces.
- Bitcoin's recent 3-day consecutive 3% drops historically lead to strong recoveries (80% positive 5-day change, avg 10% gain).
- Defensive sectors (consumer staples) are outperforming tech, and energy stocks are showing significant strength.
- JPMorgan (JPM) is showing signs of distribution, and a break below 290 could signal weakness in the financial sector.
- NVIDIA (NVDA) is a key stock to watch; a break below 170 could trigger a 'nasty head and shoulders' pattern.
- The Magnificent Seven (big tech) is weakening relative to the broader market, which is a concern for a healthy bull market.
- Central bank liquidity expansion has supported markets, but potential policy tightening could increase volatility.
- The bond market has not 'freaked out' yet, meaning systemic risk is not currently high.
- 2026 is a mid-term year, and volatility is expected to remain high until November.
- Don't do what's in the press, because it's generally in the price.

## All Instruments Mentioned
US500 Index, Silver, MAGS, SPY, IBIT, Bitcoin, IGV, XLP, JPM, US10Y, USOIL, XOP, XLE, OIH, XLK, SMH, NVDA, DXY, GOLD, VIX, HSI1!, MSTR, ETHUSDT

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*Generated by FX Evolution Monitor on 2026-02-26 16:44:55*