Week of 7/17/2023

Week of 7/17/2023

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The last week summarized in 3 short headlines. 

1. Mixed Bag

In the midst of earnings season, the stock market witnessed a mixed bag of results. The Dow and S&P 500 celebrated their second consecutive week of gains, with the S&P 500 companies beating analysts’ quarterly net income expectations at an impressive 75%.

The Dow had an exceptional streak, notching its 10th positive trading day in a row. Thanks to solid quarterly earnings from key components, the index gained a tiny 0.01% on Friday, contributing to an overall increase of more than 4% during its 10-day run.

Meanwhile, the NASDAQ, though outperforming the Dow year to date, suffered a setback as it finished slightly lower, with the biggest one-day percentage decline in over four months. This drop was partly due to disappointing earnings data from some of its major companies.

The U.S. Federal Reserve’s meeting was closely monitored, with expectations that the key benchmark rate would increase by a quarter percentage point, following a pause in its rate hiking cycle after the June meeting. Bond yields remained steady as investors awaited the Fed’s decision.

In the banking sector, U.S. regional banks rebounded after exceeding quarterly earnings expectations. Stable or increased second-quarter deposits boosted their shares, with some banks witnessing more than a 10% rise for the week.

The retail sector saw a mixed report, as U.S. retail sales in June rose by 0.2% from the previous month, falling short of economists’ expectations. However, the previous month’s sales growth figure was revised upward, indicating continued resilience in the retail sector as inflationary pressures ease.

On the international front, China’s economy reported a slower-than-expected growth rate of 6.3% in the second quarter, signaling a potential shortfall in its post-pandemic economic rebound compared to earlier forecasts.

The upcoming U.S. government report on second-quarter economic growth is anticipated to show moderate growth, dispelling previous concerns of a potential recession. The revised upward estimate for the first-quarter GDP further alleviated economic worries.

In conclusion, the markets displayed mixed results during earnings season, with the Dow and S&P 500 showing strength, while the NASDAQ experienced a temporary setback. With various economic indicators pointing in different directions, investors are keeping a close eye on upcoming reports to gauge the trajectory of the economy.

2. Short Squeezes

Short squeezes are captivating events in the stock market that have gained significant attention in recent times. A short squeeze occurs when heavily shorted stocks experience an unexpected surge in demand, causing their share prices to skyrocket. Short sellers, who bet on a stock’s decline by borrowing and selling shares, are forced to cover their positions when the stock’s price starts rising. As more short sellers rush to buy back shares to limit losses, the increased demand drives the stock price even higher, leading to a cascade effect known as a short squeeze. These squeezes are often triggered by factors like positive news catalysts, social media frenzy, low float stocks, and targeted efforts by institutional investors to exploit short positions. Short squeezes can lead to extreme volatility in the market and pose substantial risks to both short sellers and other market participants. Investors should be cautious and well-informed while navigating the potential opportunities and risks associated with short squeezes.

3. Large Language Models

The advent of large language models has sparked a significant transformation in the economy and financial landscape. These powerful language models, like GPT-3.5, have revolutionized the way we approach financial analysis, insights, and decision-making. With the ability to process vast amounts of data, news articles, and market trends, these models offer valuable insights and sentiment analysis to aid investors in making well-informed decisions. Moreover, large language models have paved the way for algorithmic trading, enabling lightning-fast execution of trades and capturing arbitrage opportunities in real-time. In the realm of personal finance, these models have facilitated the rise of personalized investing apps, empowering retail investors with tailored advice and automated portfolio management. Additionally, financial institutions benefit from these models through improved risk management and compliance efforts, as they can identify potential fraud and assess credit risks more accurately. Economists and policymakers also leverage these models to enhance economic forecasting and inform policy decisions. As technology continues to advance, we can expect large language models to further shape the financial world, fostering innovation, and pushing the boundaries of what is possible in the financial sector.


The stock market saw a mixed week during earnings season, with the Dow and S&P 500 gaining momentum, while the NASDAQ faced setbacks. Regional banks rebounded after exceeding earnings expectations, and the retail sector showed resilience despite falling short of economists’ predictions. Short squeezes garnered attention as heavily shorted stocks, like GameStop and AMC, experienced surges in demand, causing share prices to soar. Social media, positive news, and institutional efforts were catalysts, leading to extreme volatility and drawing regulatory scrutiny. Powerful language models, like GPT-3.5, transformed financial analysis and decision-making. With data processing capabilities, these models enable insights, algorithmic trading, personalized finance apps, improved risk management, and economic forecasting, shaping the future of finance.

About the author

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I am a junior at TJHSST. I write about stocks and current events.