As of June 17, 2024, the most shorted stock was for, the American holographic technology services provider, MicroCloud Hologram Inc., with 66.64 percent of their total float having been shorted. This is a change from mid-January 2021, when video game retailed GameStop had an incredible 121.07 percent of their available shares in a short position. In effect this means that investors had 'borrowed' more shares (with a future promise to return them) than the total number of shares available for public trading. Owing to this behavior of professional investors, retail investors enacted a campaign to drive up the stock price of Gamestop, leading to losses of billions when investors had to repurchase the stock they had borrowed. At this time, a similar – but less effective – social media campaign was also carried out for the stock price of cinema operator AMC, and the price of silver. What is short selling? Short selling is essentially where an investor bets on a share price falling by: borrowing a number of shares selling these shares while the price is still high; purchasing the same number again once the price falls; then returning the borrowed shares at a profit. Of course, a profit will only be made if the share price does fall; should the share price rise the investor will then need to purchase the shares back at a higher price, and thus incur a loss. Short selling can lead to some very large profits in a short amount of time, with Tesla stock generating over one billion dollars in short sell profits during the first week of March 2020 alone, owing to the financial crash caused by the coronavirus (COVID-19) pandemic. However, owing to the short-term, opportunistic nature of short selling, these returns look less impressive when considered as net profits from short sell positions over the full year. The risks of short selling Short selling carries greater risks than traditional investments, and for this reason financial advisors often recommend against this strategy for ‘retail’ (i.e. non-professional) investors. The reason for this is that losses from short selling are potentially uncapped, whereas losses from traditional investments are limited to the initial cost. For example, if someone purchases 100 dollars of shares, the maximum they can lose is the 100 dollars the spent on those shares. However, say someone borrows 100 dollars of shares instead, betting on the price falling. If these shares are then sold for 100 dollars but the price subsequently rises, the losses could greatly exceed the initial investment should the price rise to, say, 500 dollars. The risks of short selling can be seen by looking again at Tesla, with the company causing the greatest losses over 2020 from short selling at over 40 billion U.S. dollars.

Over the course of 2020, U.S. short sellers lost over 40 billion U.S. dollars to shorts of Tesla - a value significantly higher than other companies. While short selling can generate some very large profits in a small amount of time, the practice can also lead to some very large losses should stock prices rise, confounding investors' expectations. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

Over the course of 2020, U.S. short sellers generated a net profits of around 1.28 billion U.S. dollars from short selling Exxon Mobil stock. While a very large number, this pales in comparison to the net annual losses of from short selling of over 40 billion U.S. dollars for Tesla stock. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

In just one week in March 2020, investors with a short position on Tesla stock were able to generate profits of over one billion U.S. dollars. From around mid-February 2020, the global coronavirus (COVID-19) pandemic sent global stock markets into a tailspin as entire countries closed down their economy in order to slow the spread of the virus. While the effect on financial markets was catastrophic for many most investors, once class of investor was able to profit handsomely off the disaster - short sellers. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

The main stock market index of United States, the US500, rose to 6008 points on June 9, 2025, gaining 0.13% from the previous session. Over the past month, the index has climbed 2.80% and is up 12.07% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

The dataset contains the file required for training and testing and split accordingly.

There are two groups of features that you can use for prediction:

1. Fundamentals and ratios: Values collected form statements and balance sheets for each ticker
2. Technical indicators and strategy flags: Technical indicators calculated on close value of each day and buy and sell signals generated using some commonly used trading strategies.

Files found in Fundamentals folder is a processed format of the files found in raw folder. Ratios and other values are stretched to match the length of the closing price column such that the value in the pe_ratio column for example is the PE ratio from the most recent quarter and this applies for every column.

Technical indicators are calculated with the default parameters used in Pandas_TA package.

Data is collected form finance.yahoo.com and macrotrends.net Timeframe for the given data is different from one ticker to another because of unavailability of some stocks for a given time frame on either of the websites.

All code required to collect the data and perform preprocessing and feature engineering to get the data in the given format can be found in the following notebooks:

1. https://www.kaggle.com/code/mohammedobeidat/us-stocks-data-collection
2. https://www.kaggle.com/code/mohammedobeidat/us-stocks-technicals-feature-engineering-and-eda
3. https://www.kaggle.com/code/mohammedobeidat/us-stocks-fundamentals-preprocessing-and-eda

Files

• {<>_ticker_train}.csv - the training set
• {<>_ticker_train}.csv - the test set

Columns

Columns names are supposed to be self-explanatory assuming you are familiar with the stock market. Some acronyms you may encounter:

1. tmm is short for Trailing Twelve Months
2. pe is short for Price to Earnings
3. pb is short for Price to Book Value
4. ps is short for Price to Sales
5. fcf is short for Free Cash Flow
6. eps is short for Earnings per Share

Dataset Card for "short-interest-stocks"

More Information needed

Stock Fund Sales Market Outlook

The global stock fund sales market is projected to witness substantial growth, expanding from an estimated USD 20 trillion in 2023 to approximately USD 35 trillion by 2032, growing at a compound annual growth rate (CAGR) of 6%. This robust market size increase is driven by several key factors, including rising disposable incomes, growing awareness of investment opportunities, and the increasing popularity of diversified investment portfolios. The growth in the stock fund sales market is underpinned by the increasing number of retail and institutional investors seeking to capitalize on the benefits of stock funds as a vehicle for wealth accumulation and risk management.

A significant growth factor in the stock fund sales market is the proliferation of financial literacy programs and investment education. As governments and financial institutions worldwide invest in educating the masses about the importance of saving and investing, more individuals are becoming aware of stock funds as a viable and lucrative investment option. This educational push has led to an upsurge in the number of retail investors entering the market, thereby driving demand for various types of stock funds. Additionally, the ease of access to information through the internet and social media platforms has further facilitated this growth, enabling potential investors to make more informed decisions.

Another driving factor is the technological advancements in financial services, especially in the realm of online trading and investment platforms. The advent of robo-advisors and automated trading systems has made it easier for individuals to invest in stock funds with little to no manual intervention. These platforms provide personalized investment advice and portfolio management services, which have democratized access to sophisticated investment strategies previously available only to high-net-worth individuals. The convenience, lower fees, and increased transparency offered by these technologies have significantly contributed to the growth of the stock fund sales market.

Moreover, the increasing globalization of financial markets has played a crucial role in the expansion of the stock fund sales market. With the removal of barriers to capital flows across borders, investors now have greater access to international stock funds. This trend has been particularly pronounced in emerging markets, where economic growth rates are higher, and investment opportunities are abundant. As a result, there has been a notable increase in the demand for global and regional stock funds, further propelling market growth. Additionally, regulatory reforms in various countries aimed at protecting investors and ensuring market stability have boosted investor confidence, thereby encouraging more investment in stock funds.

From a regional perspective, North America continues to dominate the stock fund sales market, accounting for a significant share of the global market. The region's well-developed financial infrastructure, high levels of disposable income, and a strong culture of investment are key factors driving this dominance. Additionally, the presence of major financial institutions and asset management companies in North America supports the growth of the stock fund market. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by rapid economic development, increasing financial literacy, and a burgeoning middle class with rising disposable incomes. The growing penetration of digital financial services in countries such as China and India is also a significant contributor to the region's growth.

Fund Type Analysis

The stock fund sales market can be segmented by fund type, including equity funds, bond funds, money market funds, hybrid funds, and others. Equity funds are among the most popular types of stock funds, attracting a significant portion of investor capital. These funds invest primarily in stocks and aim to generate high returns by capitalizing on the growth potential of companies. The appeal of equity funds lies in their potential for higher returns compared to other types of investments, albeit with a higher level of risk. Factors such as market volatility, economic conditions, and company performance play crucial roles in determining the success of equity funds. The increasing awareness of the long-term benefits of equity investments is driving the demand for these funds.

Bond funds, which invest in various types of bonds, are another important segment within the stock fund sales market. These funds are generally considered safer t

1. Overview

This dataset provides monthly stock price data for the MAG7 over the past 20 years (2004–2024). The data includes key financial metrics such as opening price, closing price, highest and lowest prices, trading volume, and percentage change. The dataset is valuable for financial analysis, stock trend forecasting, and portfolio optimization.

2. What is MAG7 ?

MAG7 refers to the seven largest and most influential technology companies in the U.S. stock market : - Microsoft (MSFT) - Apple (AAPL) - Google (Alphabet, GOOGL) - Amazon (AMZN) - Nvidia (NVDA) - Meta (META) - Tesla (TSLA)

These companies are known for their market dominance, technological innovation, and significant impact on global stock indices such as the S&P 500 and Nasdaq-100.

3. Dataset Details

The dataset consists of historical monthly stock prices of MAG7, retrieved from Investing.com. It provides an overview of how these stocks have performed over two decades, reflecting market trends, economic cycles, and technological shifts.

4. Columns Descriptions

• Date The recorded month and year (DD-MM-YYYY)
• Price The closing price of the stock at the end of the month
• Open The price at which the stock opened at the beginning of the month
• High The highest stock price recorded in the month
• Low The lowest stock price recorded in the month
• Vol. The total trading volume for the month
• Change % The percentage change in stock price compared to the previous month # 5. Data Source & Format The dataset was obtained from Investing.com and downloaded in CSV format. The data has been processed to ensure consistency and accuracy, with date formats standardized for time-series analysis. # 6. Potential Use Cases This dataset can be used for :
• 📈 Stock price trend analysis over 20 years
• 📊 Building financial models for long-term investing
• 🔎 Machine learning applications in stock market prediction
• 📉 Evaluating market volatility and economic impact on MAG7 stocks

7. Limitations & Considerations

• ⚠️ The dataset is limited to monthly data, meaning short-term price fluctuations are not captured.
• ⚠️ Trading volume (Vol.) may vary in availability due to differences in reporting.
• ⚠️ External factors such as stock splits, dividends, and market crashes are not explicitly noted but may impact historical trends.

The latest closing stock price for SPDR Nuveen Bloomberg Short Te as of May 02, 2025 is 47.24. An investor who bought $1,000 worth of SPDR Nuveen Bloomberg Short Te stock at the IPO in 2007 would have $342 today, roughly 0 times their original investment - a 1.65% compound annual growth rate over 18 years. The all-time high SPDR Nuveen Bloomberg Short Te stock closing price was 47.72 on April 04, 2025. The SPDR Nuveen Bloomberg Short Te 52-week high stock price is 48.20, which is 2% above the current share price. The SPDR Nuveen Bloomberg Short Te 52-week low stock price is 46.56, which is 1.4% below the current share price. The average SPDR Nuveen Bloomberg Short Te stock price for the last 52 weeks is 47.58. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

In 2024, 62 percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years, and is still below the levels before the Great Recession, when it peaked in 2007 at 65 percent. What is the stock market? The stock market can be defined as a group of stock exchanges, where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the Financial Crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

China Number of Existing Investor: A Share: Short Position: Number involved in Secondary Market in the most recent year data was reported at 56,925.900 Unit th in Dec 2016. This records an increase from the previous number of 55,321.100 Unit th for Nov 2016. China Number of Existing Investor: A Share: Short Position: Number involved in Secondary Market in the most recent year data is updated monthly, averaging 40,914.600 Unit th from Jul 2015 (Median) to Dec 2016, with 18 observations. The data reached an all-time high of 56,925.900 Unit th in Dec 2016 and a record low of 30,998.300 Unit th in Jul 2015. China Number of Existing Investor: A Share: Short Position: Number involved in Secondary Market in the most recent year data remains active status in CEIC and is reported by China Securities Depository and Clearing Corporation Limited. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Depository and Clearing: No of Investor Account: Hold and Short Position.

The latest closing stock price for Alphabet as of May 27, 2025 is 172.90. An investor who bought $1,000 worth of Alphabet stock at the IPO in 2004 would have $68,190 today, roughly 68 times their original investment - a 22.35% compound annual growth rate over 21 years. The all-time high Alphabet stock closing price was 206.14 on February 04, 2025. The Alphabet 52-week high stock price is 207.05, which is 19.8% above the current share price. The Alphabet 52-week low stock price is 140.53, which is 18.7% below the current share price. The average Alphabet stock price for the last 52 weeks is 172.27. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

NYSE Integrated is a proprietary data feed that disseminates full order book updates from the New York Stock Exchange (XNYS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.

NYSE is the leading venue for listing blue-chip companies and large-cap stocks. Powered by NYSE's Pillar platform, its hybrid market model of floor-based auction and electronic trading allows it to capture a significant portion of trading activity during the US equity market open and close. As of January 2025, the NYSE represented approximately 6.31% of the average daily volume (ADV) across all exchange-listed US securities, including those listed on Nasdaq, other NYSE venues, and Cboe exchanges.

NYSE is also the only exchange to offer Designated Market Maker (DMM) privileges, allowing the floor to send D-Quote Orders, short for Discretionary Orders, throughout the day. Most D-Quote Orders execute in the closing auction, where they're known as Closing D Orders and allow traders to access the NYSE closing auction after 3:50 PM. This creates significant price discovery during the NYSE Closing Auction, where interest represented via the floor contributes more than 40% of total volume.

NYSE is also unique for being the only exchange with a Parity/Priority Allocation model for matching. This resembles a mixed FIFO and pro-rata matching algorithm, where the participant who sets the best price is matched first, and then the remaining shares are allocated to other orders entered by floor brokers at that price (parity allocation). Floor brokers may utilize e-Quotes to to receive such parity allocation of incoming executions.

With L3 granularity, NYSE Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of the book imbalances, queue dynamics, and the auction process. This data includes explicit trade aggressor side, odd lots, and imbalances. Auction imbalances offer valuable insights into NYSE’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.

Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.

Asset class: Equities

Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.

Supported data encodings: DBN, CSV, JSON (Learn more)

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status (Learn more)

Resolution: Immediate publication, nanosecond-resolution timestamps

Israel's main stock market index, the TA-125, fell to 2746 points on June 9, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 2.86% and is up 40.16% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on June of 2025.

Overall, this project was meant test the relationship between social media posts and their short-term effect on stock prices. We decided to use Reddit posts from financial specific subreddit communities like r/wallstreetbets, r/investing, and r/stocks to see the changes in the market associated with a variety of posts made by users. This idea came to light because of the GameStop short squeeze that showed the power of social media in the market. Typically, stock prices should purely represent the total present value of all the future value of the company, but the question we are asking is whether social media can impact that intrinsic value. Our research question was known from the start and it was do Reddit posts for or against a certain stock provide insight into how the market will move in a short window. To solve this problem, we selected five large tech companies including Apple, Tesla, Amazon, Microsoft, and Google. These companies would likely give us more data in the subreddits and would have less volatility day to day allowing us to simulate an experiment easier. They trade at very high values so a change from a Reddit post would have to be significant giving us proof that there is an effect.

Next, we had to choose our data sources for to have data to test with. First, we tried to locate the Reddit data using a Reddit API, but due to circumstances regarding Reddit requiring approval to use their data we switched to a Kaggle dataset that contained metadata from Reddit. For our second data set we had planned to use Yahoo Finance through yfinance, but due to the large amount of data we were pulling from this public API our IP address was temporarily blocked. This caused us to switch our second data to pull from Alpha Vantage. While this was a large switch in the public it was a minor roadblock and fixing the Finance pulling section allowed for everything else to continue to work in succession. Once we had both of our datasets programmatically pulled into our local vs code, we implemented a pipeline to clean, merge, and analyze all the data. At the end, we implement a Snakemake workflow to ensure the project was easily reproducible. To continue, we utilized Textblob to label our Reddit posts with a sentiment value of positive, negative, or neutral and provide us with a correlation value to analyze with. We then matched the time frame of each post with the stock data and computed any possible changes, found a correlation coefficient, and graphed our findings.

To conclude the data analysis, we found that there is relatively small or no correlation between the total companies, but Microsoft and Google do show stronger correlations when analyzed on their own. However, this may be due to other circumstances like why the post was made or if the market had other trends on those dates already. A larger analysis with more data from other social media platforms would be needed to conclude for our hypothesis that there is a strong correlation.

Financial Advice Finetuning Ground Truth Dataset

Georgia Institute of Technology, College of Computing Authors: Hersh Dhillon, Mathan Mahendran, Will Ferguson, Ayushi Mathur, Dorsa Ajami December 2024

  Motivation

Given the unprecendented rise of day trading, social-media based financial advice, and trading apps, more people then ever are buying and selling stocks without proper financial literacy. Oftentimes, people make high-risk trades with little more quantitative… See the full description on the dataset page: https://huggingface.co/datasets/iamwillferguson/StockSensei_Ground_Truth.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

United Kingdom's main stock market index, the GB100, rose to 8838 points on June 6, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 3.25% and is up 7.19% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on June of 2025.

Stocks of video game retailer GameStop exploded in January 2021, effectively doubling in value on a daily basis. At the close of trading on January 27, GameStop Corporation's stock price reaching 86.88 U.S. dollars per share - or +134 percent compared to the day before. On December 30, 2020, the price was valued at 4.82 U.S. dollars per share. The cause of this dramatic increase is a concerted effort via social media to raise the value of the company's stock, intended to negatively affect professional investors planning to ‘short sell’ GameStop shares. As professional investors started moving away from GameStop the stock price began to fall, stabilizing at around 11-13 U.S. dollars in mid-February. However, stock prices unexpectedly doubled again on February 24, and continued to rise, reaching 66.25 U.S. dollars at the close of trade on March 10. The reasons for this second increase are not fully clear. At the close of trade on January 29, 2025, GameStop shares were trading at nearly 27.5 U.S. dollars. Who are GameStop? GameStop are a retailer of video games and associated merchandise headquartered in a suburbs of Dallas, Texas, but with stores throughout North America, Europe, Australia and New Zealand. As of February 2020 the group maintained just over 5,500 stores, variously under the GameStop, EB Games, ThinkGeek, and Micromania-Zing brands. The company's main revenue source in 2020 was hardware and accessories - a change from 2019, when software sales were the main source of revenue. While the company saw success in the decade up to 2016 (owing to the constant growth of the video game industry), GameStop experienced declining sales since because consumers increasingly purchased video games digitally. It is this continual decline, combined with the effect of the global coronavirus pandemic on traditional retail outlets, that led many institutional investors to see GameStop as a good opportunity for short selling. What is short selling? Short selling is where an investor effectively bets on a the price of a financial asset falling. To do this, an investor borrows shares (or some other asset) via an agreement that the same number of shares be returned at a future date. They can then sell the borrowed shares, and purchase the same number back once the price has fallen to make a profit. Obviously, this strategy only works when the share price does fall – otherwise the borrowed stocks need to be repurchased at a higher price, causing a loss. In the case of GameStop, a deliberate campaign was arranged via social media (particularly Reddit) for individuals to purchase GameStop shares, thus driving the price higher. As a result, some estimates place the loss to institutional investors in January 2021 alone at around 20 billion U.S. dollars. However, once many of these investors had 'closed out' their position by returning the shares they borrowed, demand for GameStop stock fell, leading to the price reduction seen early in early February. A similar dynamic was seen at the same time with the share price of U.S. cinema operator AMC.