Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates (EMVMACROINTEREST) from Jan 1985 to Aug 2025 about volatility, uncertainty, equity, interest rate, interest, rate, and USA.

In 2024, ** 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 ** 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.

The U.S. federal funds rate peaked in 2023 at its highest level since the 2007-08 financial crisis, reaching 5.33 percent by December 2023. A significant shift in monetary policy occurred in the second half of 2024, with the Federal Reserve implementing regular rate cuts. By December 2024, the rate had declined to 4.48 percent. What is a central bank rate? The federal funds rate determines the cost of overnight borrowing between banks, allowing them to maintain necessary cash reserves and ensure financial system liquidity. When this rate rises, banks become more inclined to hold rather than lend money, reducing the money supply. While this decreased lending slows economic activity, it helps control inflation by limiting the circulation of money in the economy. Historic perspective The federal funds rate historically follows cyclical patterns, falling during recessions and gradually rising during economic recoveries. Some central banks, notably the European Central Bank, went beyond traditional monetary policy by implementing both aggressive asset purchases and negative interest rates.

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.

Graph and download economic data for Interest Rates and Price Indexes; Dow Jones U.S. Total Market Index, Level (BOGZ1FL073164013Q) from Q4 1970 to Q1 2025 about mutual funds, equity, liabilities, interest rate, interest, rate, price index, indexes, price, and USA.

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

From 2003 to 2025, the central banks of the United States, United Kingdom, and European Union exhibited remarkably similar interest rate patterns, reflecting shared global economic conditions. In the early 2000s, rates were initially low to stimulate growth, then increased as economies showed signs of overheating prior to 2008. The financial crisis that year prompted sharp rate cuts to near-zero levels, which persisted for an extended period to support economic recovery. The COVID-19 pandemic in 2020 led to further rate reductions to historic lows, aiming to mitigate economic fallout. However, surging inflation in 2022 triggered a dramatic policy shift, with the Federal Reserve, Bank of England, and European Central Bank significantly raising rates to curb price pressures. As inflation stabilized in late 2023 and early 2024, the ECB and Bank of England initiated rate cuts by mid-2024, and the Federal Reserve also implemented its first cut in three years, with forecasts suggesting a gradual decrease in all major interest rates between 2025 and 2026. Divergent approaches within the European Union While the ECB sets a benchmark rate for the Eurozone, individual EU countries have adopted diverse strategies to address their unique economic circumstances. For instance, Hungary set the highest rate in the EU at 13 percent in September 2023, gradually reducing it to 6.5 percent by October 2024. In contrast, Sweden implemented more aggressive cuts, lowering its rate to two percent by June 2025, the lowest among EU members. These variations highlight the complex economic landscape that European central banks must navigate, balancing inflation control with economic growth support. Global context and future outlook The interest rate changes in major economies have had far-reaching effects on global financial markets. Government bond yields, for example, reflect these policy shifts and investor sentiment. As of December 2024, the United States had the highest 10-year government bond yield among developed economies at 4.59 percent, while Switzerland had the lowest at 0.27 percent. These rates serve as important benchmarks for borrowing costs and economic expectations worldwide.

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.

AGNC: Will Mortgage REIT Thrive in a Rising Rate Environment?

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

The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately *** trillion U.S. dollars by August 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic - both of which resulted in negative annual GDP growth in the U.S. - showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by July 2025, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in August 2023, before the first rate cut since September 2021 occurred in September 2024. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2023, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

Strong returns in various financial markets and increased trading volumes have benefited businesses in the industry. Companies provide underwriting, brokering and market-making services for different financial instruments, including bonds, stocks and derivatives. Businesses benefited from improving macroeconomic conditions despite the high-interest-rate environment for most of the period due to inflationary pressures. However, the anticipation of interest rate cuts in the current year can limit interest income from fixed-income securities. As interest rates fall, fixed income securities will experience an outflow of capital and equities will experience an inflow of funds. The Fed is monitoring inflation, employment figures and the effects of tariffs along with other economic factors before making rate cut decisions. Overall, revenue has been growing at a CAGR of 8.5% to $491.0 billion over the past five years, including an expected increase of 1.8% in 2025 alone. Industry profit has grown during the same time due to greater interest income from bonds and will comprise 16.2% of revenue in the current year. While many industries struggled at the onset of the period due to economic disruptions stemming from the volatile economic environment and supply chain issues, businesses benefited from the volatility. Primarily, companies have benefited from increased trading activity on behalf of their clients due to fluctuations in asset prices. This has led to higher trade execution fees for firms at the onset of the period. Similarly, debt underwriting increased as many businesses have turned to investment bankers to help raise cash for various ventures. Also, improved scalability of operations, especially regarding trading services conducted by securities intermediaries, has helped increase industry profits. Structural changes have forced the industry's smaller businesses to evolve. Because competing in trading services requires massive investments in technology and compliance, boutique investment banks have alternatively focused on advising in merger and acquisition (M&A) activity. Boutique investment banks' total share of M&A revenue is forecast to grow through the end of 2030. Furthermore, the industry will benefit from improved macroeconomic conditions as inflationary pressures are expected to ease. This will help asset values rise and interest rate levels to be cut, thus allowing operators to generate more from equity underwriting and lending activities. Overall, revenue is forecast to grow at a CAGR of 1.4% to $526.8 billion over the five years to 2030.

Stock Exchanges Market Outlook

The global stock exchanges market size is projected to grow from USD 85 billion in 2023 to USD 130 billion by 2032, reflecting a compound annual growth rate (CAGR) of 4.8%. This steady growth is underpinned by a multitude of factors, including advancements in trading technology, the increasing complexity of financial instruments, and the rising participation of retail and institutional investors in global financial markets. The proliferation of electronic trading platforms, alongside traditional stock exchanges, is also contributing significantly to the growth of this market, providing enhanced accessibility, transparency, and efficiency in trading operations worldwide.

A key growth factor driving the expansion of the stock exchanges market is the ongoing digital transformation across the financial sector. With the advent of sophisticated trading technologies such as algorithmic trading and high-frequency trading, stock exchanges are increasingly adopting cutting-edge IT infrastructures to handle large volumes of trade data with superior accuracy and speed. Furthermore, the development of blockchain technology is poised to revolutionize clearing and settlement processes, reducing costs and the time taken for transaction finalization. This technological evolution is not only enhancing the operational efficiency of stock exchanges but also broadening the scope for innovative financial products, thereby attracting a wider array of market participants.

Another significant driver is the globalization of financial markets, which has led to a convergence in trading practices and regulations. As cross-border investments surge, stock exchanges are compelled to offer diverse products and services to cater to a global clientele. This necessitates continuous improvements in trading platforms and regulatory frameworks to manage the complexities associated with international investments. Additionally, increasing wealth in emerging economies is spurring investment activities, thereby boosting the demand for reliable and efficient stock exchanges. These dynamics are fueling the growth of the market by fostering an environment conducive to investment and financial inclusivity.

The increasing interest from retail investors is also a major factor contributing to the growth of the stock exchanges market. The advent of user-friendly trading apps and platforms has democratized stock trading, enabling retail investors to participate actively in financial markets. Enhanced financial literacy and the widespread availability of information have empowered individual investors to make informed decisions, leading to an upsurge in market participation. This rise in retail trading volume is prompting stock exchanges to innovate and expand their offerings to accommodate this burgeoning segment, thus driving market growth.

Regionally, North America continues to dominate the stock exchanges market, driven by the presence of major exchanges such as the New York Stock Exchange (NYSE) and NASDAQ. However, the Asia Pacific region is emerging as a formidable player due to rapid economic growth, regulatory reforms, and technological advancements in countries like China, India, and Japan. The region is witnessing a significant influx of foreign capital, bolstering trading activities and propelling market expansion. Europe also holds a substantial share, supported by its mature financial markets and strong institutional investor base. Meanwhile, Latin America and the Middle East & Africa are exhibiting potential for growth, albeit at a relatively slower pace, as they develop their financial infrastructures and regulatory environments.

Type Analysis

The stock exchanges market is bifurcated into traditional stock exchanges and electronic trading platforms, each serving distinct roles in the financial ecosystem. Traditional stock exchanges have long been the cornerstone of financial markets, operating as centralized venues where securities are bought and sold. These exchanges, such as the NYSE and London Stock Exchange, are characterized by their stringent regulatory frameworks and structured trading environments, which instill confidence and trust among market participants. Despite the technological advancements, traditional exchanges continue to hold a significant share of the market due to their established reputations and the comprehensive services they offer, including listing, trading, and settlement.

On the other hand, electronic trading platforms have gained momentum in recent years, driven by the demand for greater efficiency and flexibility in trading. These platf

The benchmark interest rate in India was last recorded at 5.50 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

France's main stock market index, the FR40, fell to 7675 points on September 5, 2025, losing 0.31% from the previous session. Over the past month, the index has climbed 0.52% and is up 4.39% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on September of 2025.

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.

Will Realty (O) Income Shine in the Spotlight?

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

The Federal National Mortgage Association, commonly known as Fannie Mae, was created by the U.S. congress in 1938, in order to maintain liquidity and stability in the domestic mortgage market. The company is a government-sponsored enterprise (GSE), meaning that while it was a publicly traded company for most of its history, it was still supported by the federal government. While there is no legally binding guarantee of shares in GSEs or their securities, it is generally acknowledged that the U.S. government is highly unlikely to let these enterprises fail. Due to these implicit guarantees, GSEs are able to access financing at a reduced cost of interest. Fannie Mae's main activity is the purchasing of mortgage loans from their originators (banks, mortgage brokers etc.) and packaging them into mortgage-backed securities (MBS) in order to ease the access of U.S. homebuyers to housing credit. The early 2000s U.S. mortgage finance boom During the early 2000s, Fannie Mae was swept up in the U.S. housing boom which eventually led to the financial crisis of 2007-2008. The association's stated goal of increasing access of lower income families to housing finance coalesced with the interests of private mortgage lenders and Wall Street investment banks, who had become heavily reliant on the housing market to drive profits. Private lenders had begun to offer riskier mortgage loans in the early 2000s due to low interest rates in the wake of the "Dot Com" crash and their need to maintain profits through increasing the volume of loans on their books. The securitized products created by these private lenders did not maintain the standards which had traditionally been upheld by GSEs. Due to their market share being eaten into by private firms, however, the GSEs involved in the mortgage markets began to also lower their standards, resulting in a 'race to the bottom'. The fall of Fannie Mae The lowering of lending standards was a key factor in creating the housing bubble, as mortgages were now being offered to borrowers with little or no ability to repay the loans. Combined with fraudulent practices from credit ratings agencies, who rated the junk securities created from these mortgage loans as being of the highest standard, this led directly to the financial panic that erupted on Wall Street beginning in 2007. As the U.S. economy slowed down in 2006, mortgage delinquency rates began to spike. Fannie Mae's losses in the mortgage security market in 2006 and 2007, along with the losses of the related GSE 'Freddie Mac', had caused its share value to plummet, stoking fears that it may collapse. On September 7th 2008, Fannie Mae was taken into government conservatorship along with Freddie Mac, with their stocks being delisted from stock exchanges in 2010. This act was seen as an unprecedented direct intervention into the economy by the U.S. government, and a symbol of how far the U.S. housing market had fallen.

Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Aug 2025 about 10-year, interest rate, interest, real, rate, and USA.

Venture capital (VC) and principal trading have been integral to the start-up ecosystem for many years, providing crucial funding for entrepreneurs and start-ups. The industry has undergone significant changes in recent years, benefiting from rising security prices, increased trading volumes, unprecedented investment opportunities and more merger and acquisition activity. The expanding adoption of technology and artificial intelligence across industries has further heightened demand for venture capital firms. VC and principal trading revenue will climb at a CAGR of 7.7% to $82.7 billion over the five years to 2025, including an expected increase of 4.3% in 2025 alone. Also, industry profit has climbed and will comprise 41.3% of industry revenue in the current year. The stock market has primarily been strong in recent years. Venture capitalists benefit from the high valuation on the exit of IPOs and acquisitions of successful start-up investments, while principal traders who are enjoying the continued appreciation of their assets will see capital gains on their portfolios. A heightened appetite for mergers and acquisitions, driven by a combination of low interest rates and corporate tax cuts early during the period, has also benefited venture capital firms. The jump in interest rates in the middle of the period hindered the number of mergers and acquisitions, but following the interest rate cut in the latter part of the period, merger and acquisition activity is set to climb. In addition, reduced rates will strengthen market liquidity and empower venture capital firms to expand their investments across a broader range of businesses and markets. VC and principal trading will continue evolving in the coming years, driven by technological advancements and economic changes. With the growth of environmental, social and governance (ESG) investing, there will be an increased focus on environmentally and socially responsible start-ups. Interest rate cuts and inflation subsiding will benefit leveraged traders and overall access to capital. In addition, modestly increasing disposable income and maintaining spending on research and development will boost revenue in the coming years, though at a slower rate. In addition, with the growing use of AI, venture capital firms will seek to invest in energy companies such as nuclear energy in order to fuel the energy demand for AI technology and data centers. Overall, venture capital and principal trading revenue will grow at a CAGR of 3.0% to $95.7 billion over the five years to 2030.

Volatility in financial markets has been high in recent years, which has, at times, benefitted the brokerage industry through greater trading activity as investors look to capitalise on price swings. Most notably, the COVID-19 pandemic, the Ukraine conflict and aggressive interest hikes from Central Banks facing rampant inflation have incited severe volatility. Revenue is expected to grow at a compound annual rate of 2.7% over the five years through 2023-24 to £38.1 billion, including estimated growth of 3.9% in 2023-24. Although volatility can benefit the industry, it can also deter investors, incentivising them to delay investments until economic uncertainty subsides. In recent years, uncertainty has mainly stemmed from the aggressive interest rate hikes and their expected trajectory, hitting stock and bond markets in 2022 and hurting trading activity. Although interest rate uncertainty persisted going into 2023-24, stock markets improved thanks to exceptional growth from large-cap tech stocks and a sharp rally at the end of the year as investors bet on the end of rate hikes. Competition has softened as considerable consolidation activity has occurred between SMEs in the brokerage industry. However, the Markets in Financial Instruments Directive II has ramped up operating costs for brokerage firms, hurting profitability. Continued investment in software to help automate compliance procedures have benefitted margins, although the brokerage industry remains labour-intensive. Revenue is forecast to grow at a compound annual rate of 3.5% over the five years through 2028-29 to £45.2 billion, while the average industry profit margin is expected to reach 24.8%. The market narrative for interest rates is higher for longer, weighing on stock markets and hitting demand for brokers as trading activity slows. However, rate cuts are expected to occur in the second half of 2024-25, supporting bond values and stocks driving revenue growth in the short term. Further regulations related to Basel III are set to come into force in January 2025, adding pressure to brokers' operating costs. Due to Brexit, large international brokers are also shifting employees to overseas domiciles, adding downward pressure to revenue growth.

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.

Will BlackRock Income (BKT) Stock Continue Its Upward Trajectory?

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 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.

ARR Stock: Is It a Bubble?

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