The number of active monthly users of the commission-free trading app Robinhood grew steadily since 2014, even though the app did not officially launch until mid-2015. The number of users grew from ************** in 2014 up to **** million, reaching a peak in 2021. While the number of active monthly users now rests at under ** million, the Average Revenue Per Users (ARPU) has increased. The app’s net revenue did also grow steadily since its official launch, reaching *** million U.S. dollars as of 2023. Robinhood and the GameStop story Robinhood was a key player in the GameStop story in January 2021, when they restricted the trading of GameStop stocks for a few days. The platform with its commission-free trading is known to be "for the young and poor" and their trading halt caused a lot of anger among its users, who called it market manipulation and claimed the company was helping the hedge funds. Did the GameStop story affect the number of downloads? The number of downloads of the Robinhood app increased markedly in April 2021. The number of downloads grew by almost five times compared to the previous month, reaching around 3.23 million downloads from Google Play Store and Apple App Store in April 2021. This increase show that the app had a central role for the GameStop stocks, where young investors saw an opportunity to make money with commission-free trades.

Introduction

Robinhood Statistics: Robinhood Markets Inc., founded in 2013 and headquartered in Menlo Park, California, is a financial services company offering commission-free trading in stocks, options, and cryptocurrencies. As of the end of 2024, Robinhood reported 25.2 million funded accounts and 26.2 million investment accounts. The company's assets under custody reached $193 billion, a significant increase from the previous year. In 2024, Robinhood generated $2.95 billion in revenue, marking a 58% year-over-year growth, and achieved a net income of $1.41 billion, its first annual profit since 2020.

Robinhood as a serious force in financial services, the article now aims to describe the key Robinhood statistics and developments that shaped Robinhood's 2024 performance.

In 2022, Robinhood, probably the most well-known online trading platform and neobroker worldwide, had 23 million net cumulative funded accounts, with 11.4 million active users on average. Robinhood users committed approximately 62 billion U.S. dollars to invest on the trading app.

Downloads of the trading app Robinhood grew over five times between December 2020 and January 2021, according to Google Play Store and Apple App Store figures. The number grew from around ******* downloads in December 2020 up to around **** million downloads in January 2021. The reason for the increased number of downloads was that the app played a central role in the GameStop story in January 2021, where young investors saw an opportunity to make money on the GameStop stocks with commission-free trades via the Robinhood platform. Popularity of Robinhood Investors' viewpoints are increasingly turning toward the utilization of technology when investing as the majority of wealth management clients worldwide agreed technology has improved investing decision making and allowed for higher efficiency and reduced costs. Robinhood's ease of accessibility to investors and low-cost business model are contributing factors that allowed them to previously outperformed other leading trading apps in the number of monthly active users on their platform. The future of online trading The total net revenue of Robinhood has continued to increase with a large spike in the fourth quarter of 2020. Despite events such as the GameStop story passing, Robinhood`s revenue has continued to grow. Many traditional asset management firms are also beginning to implement technology in their business operations as the technological move becomes more prominent. The global online trading market is forecast to continue to increase in value in the coming years, leaving opportunity for online trading platforms like Robinhood to expand.

Based on monthly active users, Robinhood is by far the most popular eTrading app in the world. As of July 2021, there were over *** million Robinhood users - over double the users of second-placed WeBull. User numbers spiked in early 2021, reaching a peak of over **** million in May 2021. The timing of this spike in popularity is likely influenced by the media attention paid to retail investors, generally using eTrading apps, coordinating their activity via social media to drive up the stock price of companies such as GameStop and AMC Entertainment.

Like several other app industries, stock trading and investment saw a huge spike in usage during the coronavirus pandemic. Millions of people stuck at home were able to take advantage of new...

The net revenue of the online trading platform Robinhood experienced a peak of 565 million U.S. dollars in the second quarter of 2021. Following this, revenues have remained relatively stable, resting at 471 million U.S. dollars in the final quarter of 2023. Robinhood came under the spotlight in January 2021, in connection with the GameStop story, when they implemented a trade halt on GameStop stocks for a few days, which benefitted the hedge funds who were still able to trade, and upset their users.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Robinhood (HOOD) - Navigating the Retail Trading Revolution

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Based on monthly active users, Robinhood is by far the most popular eTrading app in the United States. As of July 2021, there were over *** million Robinhood users - more than ***** times the users of ************* WeBull. User numbers spiked in early 2021, reaching a peak of over **** million in May 2021. The timing of this spike in popularity is likely influenced by the media attention paid to retail investors, generally using eTrading apps, coordinating their activity via social media to drive up the stock price of companies such as GameStop and AMC Entertainment.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

HOOD Robinhood Markets Inc. Class A Common Stock

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset provides information about the number of properties, residents, and average property values for Robinhood Trail cross streets in South Daytona, FL.

Historical Dataset of Robin Hood is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1991-2023),Total Classroom Teachers Trends Over Years (2005-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2005-2023),Asian Student Percentage Comparison Over Years (1990-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1988-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2010-2023),Diversity Score Comparison Over Years (1988-2023),Free Lunch Eligibility Comparison Over Years (2000-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022)

This dataset provides information about the number of properties, residents, and average property values for Robin Hood Circle cross streets in Many, LA.

Users between 35 and 44 were ***** as active on Robinhood than they were on cryptocurrency traders. The number of users of the commission-free trading app nearly doubled in 2021. Younger users, however, were more active on cryptocurrency exchanges than on Robinhood or the websites of traditional brokers. Coinbase ranked as one of the United States' most popular crypto exchanges in 2022 - although Robinhood was also used for such ends.

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This dataset provides information about the number of properties, residents, and average property values for Robinhood Lane cross streets in Delhi, LA.

Higher income groups visited Robinhood and cryptocurrency exchanges more frequently than users with a lower household income. Because of this increase in visits per user as income increases - especially among those above ******* U.S. dollars - the source believes Robinhood’s offering on zero commission trades could potentially be interesting for users with greater savings and who are exploring active investing. Indeed, the number of users of the commission-free trading app nearly doubled in 2021. The source does not elaborate on the crypto markets, although there are known stories of so-called "whales" - large investors who buy crypto in such high quantities it may offset the price of a particular coin. These whales tend to be companies that deliberately hold on to specific cryptocurrencies, such as Bitcoin.

This dataset provides information about the number of properties, residents, and average property values for Robinhood Place cross streets in Costa Mesa, CA.

URL: https://geoscience.data.qld.gov.au/dataset/cr007129

EPM 1573, ROBIN HOOD NORTH, FINAL REPORT

URL: https://geoscience.data.qld.gov.au/dataset/mg000581

NO DATA AVAILABLE - This survey has been mentioned or described in reports but no geophysical data has been submitted to the Geological Survey of Queensland