BellaJones
Newbie
- Jan 15, 2026
- 3
- 2
Hi everyone,
Following up on my intro, I wanted to share a specific workflow I’ve been using to find high-probability investment setups. In the world of SEO and IM, we track backlinks; in the stock market, we track 13F filings.
Most people just read the headlines, but the real money is made by digging into the Top Stocks Bought By Macro Hedge Funds Q3 2025 13F. Here’s the "Alpha" I found while digging through the latest filings:
1. The "Alphabet" Anomaly While retail was panic-selling tech during the August dip, the Q3 13F data shows that big players like Warren Buffett (Berkshire Hathaway) and Stan Druckenmiller were actually aggressive buyers. Berkshire initiated a massive $4.3 billion stake in Alphabet ($GOOGL). When a defensive whale like Buffett enters a tech giant, it usually sets a mid-term floor for the stock.
2. The High-Conviction Pivot (AMD vs Intel) Looking at David Tepper’s Appaloosa Management, he completely exited Intel and rotated heavily into AMD. This isn't just a trade; it's a "Macro Hedge" bet on who wins the next leg of the AI data center war.
3. My 3-Step Filter for "Whale" Hunting:
Filter by Concentration: Don't look at funds holding 500 stocks. Look at concentrated portfolios (like Michael Burry or Bill Ackman) where a single buy represents 5%+ of their AUM.
Identify "Cluster Buying": If three different macro funds buy the same ticker in the same quarter (like the recent surge in $CVX or $BABA), the conviction is exponentially higher.
Ignore Notional Value: The media loves "$900M Short" headlines. Always check the actual premium paid (for options) or the percentage of portfolio. A $10M bet from a $1B fund is just a hedge; a $100M bet is a conviction.
I’ve been aggregating these moves into a personal dashboard (I call it my "Radar") to filter out the noise. It helps me stay objective when the Twitter/X sentiment is screaming the opposite.
What’s your process for tracking smart money? Do you follow the 13Fs, or do you prefer technicals/on-chain data?
Following up on my intro, I wanted to share a specific workflow I’ve been using to find high-probability investment setups. In the world of SEO and IM, we track backlinks; in the stock market, we track 13F filings.
Most people just read the headlines, but the real money is made by digging into the Top Stocks Bought By Macro Hedge Funds Q3 2025 13F. Here’s the "Alpha" I found while digging through the latest filings:
1. The "Alphabet" Anomaly While retail was panic-selling tech during the August dip, the Q3 13F data shows that big players like Warren Buffett (Berkshire Hathaway) and Stan Druckenmiller were actually aggressive buyers. Berkshire initiated a massive $4.3 billion stake in Alphabet ($GOOGL). When a defensive whale like Buffett enters a tech giant, it usually sets a mid-term floor for the stock.
2. The High-Conviction Pivot (AMD vs Intel) Looking at David Tepper’s Appaloosa Management, he completely exited Intel and rotated heavily into AMD. This isn't just a trade; it's a "Macro Hedge" bet on who wins the next leg of the AI data center war.
3. My 3-Step Filter for "Whale" Hunting:
Filter by Concentration: Don't look at funds holding 500 stocks. Look at concentrated portfolios (like Michael Burry or Bill Ackman) where a single buy represents 5%+ of their AUM.
Identify "Cluster Buying": If three different macro funds buy the same ticker in the same quarter (like the recent surge in $CVX or $BABA), the conviction is exponentially higher.
Ignore Notional Value: The media loves "$900M Short" headlines. Always check the actual premium paid (for options) or the percentage of portfolio. A $10M bet from a $1B fund is just a hedge; a $100M bet is a conviction.
I’ve been aggregating these moves into a personal dashboard (I call it my "Radar") to filter out the noise. It helps me stay objective when the Twitter/X sentiment is screaming the opposite.
What’s your process for tracking smart money? Do you follow the 13Fs, or do you prefer technicals/on-chain data?
