Pelosi Earned Over $1.5 mln in One Stock? Which Stock Do You Favor?
Accurate timing or insider trading? Regardless of the reasons behind it, Nancy Pelosi’s stock purchases have undoubtedly generated substantial profits.
Let’s look at Pelosi’s trades in recent 1 year.
Earn over $1.5 mln in one stock?
Pelosi made two significant purchases of $NVIDIA Corp(NVDA)$ in November 2023 and June 2024, with a total investment amounting to $2 million to $10 million.
On June 24, 2024, Pelosi bought $Broadcom(AVGO)$, with the transaction amount ranging from $1 million to $5 million.
In February 2024, Pelosi purchased call options for $Palo Alto Networks(PANW)$ twice, with a combined investment of $600,000 to $1.25 million. Notably, PANW's stock
price has risen by 41% since her purchases. This precise timing allowed her to earn over $1.5 million in a short period. On Tuesday, the cybersecurity provider reported
better-than-expected earnings and jumped 7% on the day.
Compared to the positive impact of her buy trades, the stocks Pelosi has sold have been less affected. In addition to her substantial purchases, Pelosi has also reduced her holdings in some tech giants over the past six months, including $Microsoft(MSFT)$ and $Tesla Motors(TSLA)$.
In addition to Pelosi’s trades, there is news about congressman Scott Franklin has revealed he bought shares of $General Dynamics Corp(GD)$ valued at $1.15 million. General Dynamics is a major defense contractor.
Which stock are you bullish?
Will you add stocks like $Palo Alto Networks(PANW)$ and $General Dynamics Corp(GD)$ to your watchlist?
Or will you just hold on $NVIDIA Corp(NVDA)$ like Pelosi does?
Leave your comments and also post to win tiger coins~
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佩洛西進行了兩次重大購買$英偉達公司(NVDA)$2023年11月和2024年6月，總投資達200萬至1000萬美元。
2024年6月24日，佩洛西購買了$博通(AVGO)$，交易金額從100萬美元到500萬美元不等。
2024年2月，佩洛西購買了看漲期權期權$帕洛阿爾託網絡(PANW)$兩次，合計投資60萬至125萬美元。值得注意的是，PANW的股票
自從她購買以來，價格已經上漲了41%。這個精確的時機讓她在短時間內賺取超過150萬美元。週二，該網絡安全提供商報告
盈利好於預期，當日上漲7%。
will hold like Pelosi. some stocks are worth holding unless the company's fundamentals changes...
@GoodLife99 @Universe宇宙 @rL @SPACE ROCKET @TigerGPT @HelenJanet @Shyon @Aqa @LMSunshine @koolgal
Which stock are you bullish?
Will you add stocks like $Palo Alto Networks(PANW)$ and $General Dynamics Corp(GD)$ to your watchlist?
Or will you just hold on $NVIDIA Corp(NVDA)$ like Pelosi does?
Leave your comments and also post to win tiger coins~
Good job Pelosi! Really amazing profits from her great trades, notably $NVIDIA Corp(NVDA)$ $Broadcom(AVGO)$ and $Palo Alto Networks(PANW)$ .
Following the trades of politicians like Nancy Pelosi can be tempting due to their potential insider knowledge or access to information that might influence stock prices. However, there are several important considerations:
1. Legality and Ethics:
While there is no evidence that Pelosi or other politicians have engaged in illegal trading, ethical concerns and legal restrictions are in place to prevent insider trading and conflicts of interest. Politicians are subject to regulations that aim to ensure transparency and prevent misuse of privileged information.
2. Market Timing: Even if a politician's trades are legally and ethically sound, relying on their trades as a strategy could be risky. The reasons behind their trades might be influenced by personal financial goals or information not publicly available, which could be different from the average investor's situation or understanding.
3. Due Diligence:
It's crucial to conduct thorough research and consider multiple factors before making investment decisions. Relying solely on the trading activities of any individual, including politicians, without understanding the broader context or underlying reasons can lead to uninformed investment choices.
In summary, while observing the trades of high-profile figures can provide insights, it's important to approach such information critically and base investment decisions on comprehensive research and analysis rather than following trades blindly.
How do you think? @Tiger_comments @TigerStars @CaptainTiger @MillionaireTiger @Meme_Tiger @TigerGPT @Daily_Discussion