01/26/2006

January Blog

“We had a surge of profits, due to strategic trade made using MarketCrunch. AI ”

 As the new trading week begins, let's take a look at the trades we made powered by MarketCrunch Ai . For the week from December 8th to 12th, 2025, we had a surge in profits, due to the strategic trades made using MarketCrunch.Ai along with precise ChatGPT prompts that helped us calculate which trades had the most upside and potential. 


NVDA:

On December 10, 2025, we entered a Nvidia (NVDA) position by purchasing 5,000 shares at $185.55 via a market buy. Later that same day, we exited the position with a market sell at $182.86 for 5,000 shares. As a result of this intraday move, the trade resulted in a loss of approximately -$13,450. The market began to shift amid growing skepticism around long-term AI spending, alongside increased competitive pressure from emerging AI models, including DeepSeek’s offerings and Google’s newest frontier models.

From this trade, we recognized the prevailing continuing downward trend and signals from marketcrunch.ai predicted the decline to continue, so we strategically shifted our approach to capitalize on downside momentum through the options market. We executed a limit buy on a put option for NVDA at $3.77 for 100,000 contracts, purchasing Contract NVDA260102P00175000, which carries a $175 strike price, January 2, 2026 expiration, and American-style exercise. At the time of entry, the underlying NVDA price was $180.2, positioning the contract effectively to benefit from further downside movement. Our predictions were accurate and the stock price continued to decline causing the option’s value to surge, and we sold the contract at $5.60 on December 12. This resulted in a gain of $1.83 per option, or $183,000 overall return, representing about a 48.5% return on the position. This successful execution validated our research alongside marketcrunch.ai’s analytical predictions and demonstrates our ability to quickly adapt, manage risk, and capitalize on market shifts, even after a loss.


TSLA:

We are currently holding 3000 shares of Tesla (TSLA), which was bought at $445.65 on . Following the recent surge in price, our position has generated a profit of approximately +$32,790.00, representing an estimated 2.99% gain from our original buy-in.

As of Friday, December 12, 2025, Tesla closed the day at $458.96, up from the previous close of $446.87, with an opening price of $448.09. Following yesterday’s close at $446.87, after-market trading brought the stock price to $458.96, confirming the upside momentum we anticipated.

We invested in Tesla due to its short-term strength, clear momentum trend, and alignment with AI-driven market signals, making it an optimal opportunity for the week. The stock’s performance validated our thesis, reinforcing our confidence in combining data-driven tools like marketcrunch.ai with disciplined execution.

META:

 On December 8, we sold 347 shares of Meta Platforms (META) at $668.97, locking in a profit of $9,105.28. These shares were originally purchased at $642.73, allowing us to realize gains while reassessing the stock’s forward-looking risk profile. While Meta reached an all-time high of $796.25 in August, the stock has since decreased significantly and is now up only approximately 5% on the year. This slowdown in price momentum, combined with Reality Labs posting an operating loss of $4.43 billion in Q3 2025, raised concerns and ultimately led to our  decision to sell. 


Written by Anthony Cardoza

Triton Trading Group

01/26/2006

December Blog

“We had a surge of profits, due to strategic trade made using MarketCrunch. AI ”

 As the new trading week begins, let's take a look at the trades we made powered by MarketCrunch Ai . For the week from December 8th to 12th, 2025, we had a surge in profits, due to the strategic trades made using MarketCrunch.Ai along with precise ChatGPT prompts that helped us calculate which trades had the most upside and potential. 


NVDA:

On December 10, 2025, we entered a Nvidia (NVDA) position by purchasing 5,000 shares at $185.55 via a market buy. Later that same day, we exited the position with a market sell at $182.86 for 5,000 shares. As a result of this intraday move, the trade resulted in a loss of approximately -$13,450. The market began to shift amid growing skepticism around long-term AI spending, alongside increased competitive pressure from emerging AI models, including DeepSeek’s offerings and Google’s newest frontier models.

From this trade, we recognized the prevailing continuing downward trend and signals from marketcrunch.ai predicted the decline to continue, so we strategically shifted our approach to capitalize on downside momentum through the options market. We executed a limit buy on a put option for NVDA at $3.77 for 100,000 contracts, purchasing Contract NVDA260102P00175000, which carries a $175 strike price, January 2, 2026 expiration, and American-style exercise. At the time of entry, the underlying NVDA price was $180.2, positioning the contract effectively to benefit from further downside movement. Our predictions were accurate and the stock price continued to decline causing the option’s value to surge, and we sold the contract at $5.60 on December 12. This resulted in a gain of $1.83 per option, or $183,000 overall return, representing about a 48.5% return on the position. This successful execution validated our research alongside marketcrunch.ai’s analytical predictions and demonstrates our ability to quickly adapt, manage risk, and capitalize on market shifts, even after a loss.


TSLA:

We are currently holding 3000 shares of Tesla (TSLA), which was bought at $445.65 on . Following the recent surge in price, our position has generated a profit of approximately +$32,790.00, representing an estimated 2.99% gain from our original buy-in.

As of Friday, December 12, 2025, Tesla closed the day at $458.96, up from the previous close of $446.87, with an opening price of $448.09. Following yesterday’s close at $446.87, after-market trading brought the stock price to $458.96, confirming the upside momentum we anticipated.

We invested in Tesla due to its short-term strength, clear momentum trend, and alignment with AI-driven market signals, making it an optimal opportunity for the week. The stock’s performance validated our thesis, reinforcing our confidence in combining data-driven tools like marketcrunch.ai with disciplined execution.

META:

 On December 8, we sold 347 shares of Meta Platforms (META) at $668.97, locking in a profit of $9,105.28. These shares were originally purchased at $642.73, allowing us to realize gains while reassessing the stock’s forward-looking risk profile. While Meta reached an all-time high of $796.25 in August, the stock has since decreased significantly and is now up only approximately 5% on the year. This slowdown in price momentum, combined with Reality Labs posting an operating loss of $4.43 billion in Q3 2025, raised concerns and ultimately led to our  decision to sell. 


Written by Anthony Cardoza

Triton Trading Group

01/26/2026

December Blog

“We had a surge of profits, due to strategic trade made using MarketCrunch. AI ”

 As the new trading week begins, let's take a look at the trades we made powered by MarketCrunch Ai . For the week from December 8th to 12th, 2025, we had a surge in profits, due to the strategic trades made using MarketCrunch.Ai along with precise ChatGPT prompts that helped us calculate which trades had the most upside and potential. 


NVDA:

On December 10, 2025, we entered a Nvidia (NVDA) position by purchasing 5,000 shares at $185.55 via a market buy. Later that same day, we exited the position with a market sell at $182.86 for 5,000 shares. As a result of this intraday move, the trade resulted in a loss of approximately -$13,450. The market began to shift amid growing skepticism around long-term AI spending, alongside increased competitive pressure from emerging AI models, including DeepSeek’s offerings and Google’s newest frontier models.

From this trade, we recognized the prevailing continuing downward trend and signals from marketcrunch.ai predicted the decline to continue, so we strategically shifted our approach to capitalize on downside momentum through the options market. We executed a limit buy on a put option for NVDA at $3.77 for 100,000 contracts, purchasing Contract NVDA260102P00175000, which carries a $175 strike price, January 2, 2026 expiration, and American-style exercise. At the time of entry, the underlying NVDA price was $180.2, positioning the contract effectively to benefit from further downside movement. Our predictions were accurate and the stock price continued to decline causing the option’s value to surge, and we sold the contract at $5.60 on December 12. This resulted in a gain of $1.83 per option, or $183,000 overall return, representing about a 48.5% return on the position. This successful execution validated our research alongside marketcrunch.ai’s analytical predictions and demonstrates our ability to quickly adapt, manage risk, and capitalize on market shifts, even after a loss.


TSLA:

We are currently holding 3000 shares of Tesla (TSLA), which was bought at $445.65 on . Following the recent surge in price, our position has generated a profit of approximately +$32,790.00, representing an estimated 2.99% gain from our original buy-in.

As of Friday, December 12, 2025, Tesla closed the day at $458.96, up from the previous close of $446.87, with an opening price of $448.09. Following yesterday’s close at $446.87, after-market trading brought the stock price to $458.96, confirming the upside momentum we anticipated.

We invested in Tesla due to its short-term strength, clear momentum trend, and alignment with AI-driven market signals, making it an optimal opportunity for the week. The stock’s performance validated our thesis, reinforcing our confidence in combining data-driven tools like marketcrunch.ai with disciplined execution.

META:

 On December 8, we sold 347 shares of Meta Platforms (META) at $668.97, locking in a profit of $9,105.28. These shares were originally purchased at $642.73, allowing us to realize gains while reassessing the stock’s forward-looking risk profile. While Meta reached an all-time high of $796.25 in August, the stock has since decreased significantly and is now up only approximately 5% on the year. This slowdown in price momentum, combined with Reality Labs posting an operating loss of $4.43 billion in Q3 2025, raised concerns and ultimately led to our  decision to sell. 


Written by Anthony Cardoza

Triton Trading Group

Triton Trading Group

Professional Student Organization @ UCSD

tritontradinggroup@ucsd.edu

© Copyright 2025. All Rights Reserved by Triton Trading Group

Triton Trading Group

Professional Student Organization @ UCSD

tritontradinggroup@ucsd.edu

© Copyright 2025. All Rights Reserved by Triton Trading Group

TRITON TRADING GROUP

Professional Student Organization @ UCSD

tritontradinggroup@ucsd.edu

© Copyright 2025. All Rights Reserved by Triton Trading Group

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