The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

The average monthly price for natural gas in the United States amounted to **** nominal U.S. dollars per million British thermal units (Btu) in May 2025. By contrast, natural gas prices in Europe were about three times higher than those in the U.S. Prices in Europe tend to be notably higher than those in the U.S. as the latter benefits from being a major hydrocarbon producer. Europe's import reliance European prices for natural gas rose most notable throughout the second half of 2021 and much of 2022, peaking at over ** U.S. dollars per million Btu in August 2022. The sharp rise was due to supply chain issues and economic strain following the COVID-19 pandemic, which was further exacerbated by Russia’s invasion of Ukraine in early 2022. As a result of the war, many countries began looking for alternative sources, and Russian pipeline gas imports to the European Union declined as a result. Meanwhile, LNG was a great beneficiary, with LNG demand in Europe rising by more than ** percent between 2021 and 2023. How domestic natural gas production shapes prices As intimated, the United States’ position among the leaders of worldwide natural gas production is one of the main reasons for why prices for this commodity are so low across the country. In 2023, the U.S. produced more than ************ cubic meters of natural gas, which allays domestic demand and allows for far lower purchasing prices.

Gasoline fell to 2.17 USD/Gal on July 31, 2025, down 1.86% from the previous day. Over the past month, Gasoline's price has risen 3.64%, but it is still 10.00% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on July of 2025.

We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

The average house price in England started to increase in August 2024, after falling by over three percent year-on-year in December 2023. In May 2025, the house price index amounted to 101.7 index points, suggesting an increase in house prices of 3.4 percent since the same month in 2024 and roughly 2 percent rise since January 2023 - the baseline year for the index. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

U.S. gasoline prices changed little in June 2025 when compared to the month before. Regular gasoline prices remained at an average of 3.15 U.S. dollars per gallon. In the period of consideration, gasoline prices reached their highest level in June 2022. Differences in fuel grades Fuel grades at U.S. gas stations are differentiated by octane level. Higher grade fuels have higher octane levels, meaning that the fuel can be compressed more in the engine. This enables high-performance engines to create more power. Fuel may also vary from state to state and pump to pump. Some cities also have regulations on gasoline in order to improve air quality. Bioethanol is added to gasoline in some cases to meet the renewable fuel standard. Gasoline-run engines are able to run on blends with a bioethanol percentage of up to 25 percent. Gasoline prices reach historic high Primarily a result of the Russia-Ukraine war and inflation, the annual retail price of gasoline reached a new historic high in 2022, climbing to nearly four U.S. dollars per gallon. By 2024, annual prices had decreased again slightly, reaching 2014 levels.

House Price Index YoY in the United States decreased to 2.80 percent in May from 3.20 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Ripple, or XRP, prices surged in 2021 but went down significantly as 2022 progressed. As of July 30, 2025, one XRP token was worth 3.13 U.S. dollars. Ethereum's price, for example, kept on reaching new all-time highs, a feat not performed by XRP. Indeed, XRP's price spikes followed relatively late - only occurring in early 2021, against late 2020 for most other cryptos - after the US SEC filed a legal complaint against Ripple in November 2020. This legal action caused the XRP price to plummet from around 0.70 U.S. dollars to 0.20 U.S. dollars.Ripple versus XRP: two become oneTechnically speaking, Ripple is not a cryptocurrency. Renamed from a protocol called OpenCoin in 2013, Ripple facilitates open-source payments. XRP, on the other hand, is the cryptocurrency that runs on this network. In that sense, Ripple and XRP have a similar symbiosis to each other, like the Ethereum network and its cryptocurrency, Ether. Unlike Ethereum - whose price changes are connected to the world of Decentralized Finance or DeFI - Ripple/XRP mostly looks at developments in cross-border payments for companies. In 2020, companies worldwide began to favor fintech solutions for future B2B solutions and, in a way, Ripple is an extension of that.What affects the price of Ripple?Ripple is mostly active in Southeast Asia - a region with a splintered payment landscape and that heavily investigates its own types of state-issued cryptocurrency to make cross-border payments a lot easier. Price spikes tend to follow news on this topic in this specific region. In 2019, for example, the XRP price grew after Japan and South Korea began testing to reduce time and costs for transferring international funds between the two countries. In March 2021, Ripple announced that it had agreed to acquire 40 percent of Malaysian cross-border payments firm Tranglo to meet growing demand in Southeast Asia.

The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Ethereum's price history suggests that that crypto was worth more in 2025 than during late 2021, although nowhere near the highest price recorded. Much like Bitcoin (BTC), the price of ETH went up in 2021 but for different reasons altogether: Ethereum, for instance, hit the news when a digital art piece was sold as the world's most expensive NFT for over 38,000 ETH - or 69.3 million U.S. dollars. Unlike Bitcoin, of which the price growth was fueled by the IPO of the U.S.'s biggest crypto trader, Coinbase, the rally on Ethereum came from technological developments that caused much excitement among traders. First, the so-called 'Berlin update' rolled out on the Ethereum network in April 2021, an update that would eventually lead to the Ethereum Merge in 2022 and reduced ETH gas prices - or reduced transaction fees. The collapse of FTX in late 2022, however, changed much for the cryptocurrency. As of July 22, 2025, Ethereum was worth 3,765.45 U.S. dollars - significantly less than the 4,400 U.S. dollars by the end of 2021.Ethereum's future and the DeFi industryPrice developments on Ethereum are difficult to predict but cannot be seen without the world of DeFi, or decentralized finance. This industry used technology to remove intermediaries between parties in a financial transaction. One example includes crypto wallets such as Coinbase Wallet that grew in popularity recently, with other examples including smart contractor Uniswap, Maker (responsible for stablecoin DAI), moneylender Dharma and market protocol Compound. Ethereum's future developments are tied with this industry: Unlike Bitcoin and Ripple, Ethereum is technically not a currency but an open-source software platform for blockchain applications, with Ether being the cryptocurrency that is used inside the Ethereum network. Essentially, Ethereum facilitates DeFi, meaning that if DeFi does well, so does Ethereum.NFTs: the most well-known application of EthereumNFTs or non-fungible tokens, grew nearly tenfold between 2018 and 2020, as can be seen in the market cap of NFTs worldwide. These digital blockchain assets can essentially function as a unique code connected to a digital file, allowing to distinguish the original file from any potential copies. This application is especially prominent in crypto art, although there are other applications: gaming, sports, and collectibles are other segments where NFT sales occur.

This dataset is comprised of data submitted to HCAI by prescription drug manufacturers for wholesale acquisition cost (WAC) increases that exceed the statutorily-mandated WAC increase threshold of an increase of more than 16% above the WAC of the drug product on December 31 of the calendar year three years prior to the current calendar year. This threshold applies to prescription drug products with a WAC greater than $40 for a course of therapy. Required WAC increase reports are to be submitted to HCAI within a month after the end of the quarter in which the WAC increase went into effect. Please see the statute and regulations for additional information regarding reporting thresholds and report due dates.

Key data elements in this dataset include the National Drug Code (NDC) maintained by the FDA, narrative descriptions of the reasons for the increase in WAC, and the five-year history of WAC increases for the NDC. A WAC Increase Report consists of 27 data elements that have been divided into two separate Excel data sets: Prescription Drug WAC Increase and Prescription Drug WAC Increase – 5 Year History. The datasets include manufacturer WAC Increase Reports received since January 1, 2019. The Prescription Drugs WAC Increase dataset consists of the information submitted by prescription drug manufacturers that pertains to the current WAC increase of a given report, including the amount of the current increase, the WAC after increase, and the effective date of the increase. The Prescription Drugs WAC Increase – 5 Year History dataset consists of the information submitted by prescription drug manufacturers for the data elements that comprise the 5-year history of WAC increases of a given report, including the amount of each increase and their effective dates.

There are 2 types of WAC Increase datasets below: Monthly and Annual. The Monthly datasets include the data in completed reports submitted by manufacturers for calendar year 2025, as of July 8, 2025. The Annual datasets include data in completed reports submitted by manufacturers for the specified year. The datasets may include reports that do not meet the specified minimum thresholds for reporting.

The Quick Guide explaining how to link the information in each data set to form complete reports is here: https://hcai.ca.gov/wp-content/uploads/2024/03/QuickGuide_LinkingTheDatasets.pdf

The program regulations are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/CTRx-Regulations-Text.pdf

The data format and file specifications are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/Format-and-File-Specifications-version-2.0-ada.pdf

DATA NOTES: Due to recent changes in Excel, it is not recommended that you save these files to .csv format. If you do, when importing back into Excel the leading zeros in the NDC number column will be dropped. If you need to save it into a different format other than .xlsx it must be .txt

DATA UPDATES: Annual datasets of reports from the preceding year are reviewed in the second half of the current year to identify if any revisions or additions have been made since the original release of the datasets. If revisions or additions have been found, an update of the datasets will be released. Datasets will be clearly marked with 'Updated' in their titles for convenient identification. Not all datasets may require an updated release. The review of previously released datasets will only be conducted once to determine if an updated release is necessary. Datasets with revisions or additions that may have been made after the one-time review can be requested. These requests should be sent via email to ctrx@hcai.ca.gov. Due to regulatory changes that went into effect April 1, 2024, reports submitted prior to April 1, 2024, will include the data field "Unit Sales Volume in US" and reports submitted on or after April 1, 2024, will instead include "Total Volume of Gross Sales in US Dollars".

Keywords; Search terms: historical time series; historical statistics; histat / HISTAT . Abstract: The author`s analysis explains to what extent the Central European agriculture and food industry has managed to satisfy the demand of the population in the centuries since the Middle Ages. For this purpose, the author collects and analyses prices, wages, rents, agricultural products, and population movements, as well as the costs of living of broad levels of the population. The price data at hand (prices of wheat and rye in Germany, Europe and America) provide a substantial basis for his analysis. On the basis of the long-term fluctuation of corn prices in England, France, Northern Italy, Germany and Austria, three waves of development can be identified: 1. An upswing in the 13th and partly also at the beginning of the 14th century is followed by a downswing in the late Middle Ages. 2. Another upswing in the 16th century was interrupted in the 17th century; 3. a third upswing in the 18th century dissolved in the 19th century into shorter and partly opposed movements that merge again only in the late 19th and 20th century. What do these waves mean? There are two approaches which could explain these developments: 1. Such price fluctuations are the consequence of a fluctuating supply of money in the Central European economy. 2. The rise in prices is caused by the growing demand of a rapidly growing population. On the one hand, the author verifies the ´laws of development´ by MALTHUS and RICARDO on the basis of the historical facts. On the other hand, the historical series of developments are interpreted by way of an appropriate scheme of terms and relations regarding their meaning. Topics: Tables in the ZA-Online-Database HISTAT: - prices of rye in Germany (1341-1940) - prices of wheat and rye in Europe and America (1991-1830) - prices of wheat and rye in Central Europe (1201-1960)

The global third-party oilfield services market is experiencing robust growth, driven by increasing global energy demand and the ongoing exploration and production activities in both established and emerging oil and gas regions. The market, estimated at $150 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033, reaching approximately $250 billion by 2033. This growth is fueled by several key factors, including the rising adoption of advanced technologies such as digitalization and automation in oilfield operations to enhance efficiency and reduce costs. Furthermore, the exploration and development of unconventional resources like shale oil and gas are contributing significantly to market expansion. The increasing focus on offshore drilling activities and the need for specialized services in deepwater environments also present lucrative opportunities for third-party providers. Competition within the market is intense, with major players such as Schlumberger, Halliburton, and Baker Hughes dominating significant market shares, while smaller companies focus on niche services or regional markets. Geographical distribution of market activity is uneven, with North America, particularly the United States, holding a significant share due to its established oil and gas infrastructure and ongoing shale gas development. However, regions like the Middle East and Asia-Pacific are witnessing rapid growth, driven by extensive exploration and production initiatives. Market segmentation reveals a strong demand for services across various applications, including drilling, completion, and production enhancement. Technological advancements and stricter environmental regulations are influencing the market, pushing companies towards more sustainable and efficient solutions. While regulatory hurdles and fluctuating oil prices pose certain restraints, the long-term outlook for the third-party oilfield services market remains positive, driven by the continued global reliance on fossil fuels and the industry's ongoing technological transformation.

Croatia Deposit Rate: FC: NF: Time Deposits: over 3 and up to 6 Months data was reported at 1.360 % pa in Dec 2022. This records an increase from the previous number of 0.630 % pa for Nov 2022. Croatia Deposit Rate: FC: NF: Time Deposits: over 3 and up to 6 Months data is updated monthly, averaging 0.630 % pa from Dec 2011 (Median) to Dec 2022, with 133 observations. The data reached an all-time high of 4.650 % pa in Apr 2014 and a record low of 0.000 % pa in May 2022. Croatia Deposit Rate: FC: NF: Time Deposits: over 3 and up to 6 Months data remains active status in CEIC and is reported by Croatian National Bank. The data is categorized under Global Database’s Croatia – Table HR.M003: Credit Institutions Deposit Rates: New Business (Discontinued).

Croatia Deposit Rate: NC: Households: Time Deposits: Short Term: over 3 & up to 6 Months data was reported at 0.030 % pa in Dec 2022. This stayed constant from the previous number of 0.030 % pa for Nov 2022. Croatia Deposit Rate: NC: Households: Time Deposits: Short Term: over 3 & up to 6 Months data is updated monthly, averaging 0.840 % pa from Dec 2011 (Median) to Dec 2022, with 133 observations. The data reached an all-time high of 3.860 % pa in Jan 2012 and a record low of 0.030 % pa in Dec 2022. Croatia Deposit Rate: NC: Households: Time Deposits: Short Term: over 3 & up to 6 Months data remains active status in CEIC and is reported by Croatian National Bank. The data is categorized under Global Database’s Croatia – Table HR.M005: Credit Institutions Deposit Rates: Outstanding Amounts (Discontinued).

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.

Ibstock (IBST) on the Rise: Time to Reinforce?

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 industry has faced a notably complex and costly logistics environment over the past five years. Smaller shipping companies have been especially vulnerable, often tied to single-carrier solutions that reduce their leverage and leave them paying higher rates set by dominant businesses. This dynamic has limited their competitiveness. Major 3PL providers, in contrast, have benefited from adopting multicarrier models that help secure better rates and broader service options. Their advantages have fueled industry consolidation as they outmaneuver smaller competitors. Recent shifts in global trade are influencing facility locations, with companies moving away from China toward ASEAN countries, driving demand for seaport-adjacent warehouses and larger bulk leases in strategic logistics hubs. Customer expectations for greater transparency have risen, with shippers increasingly demanding end-to-end visibility and real-time package tracking. These heightened requirements have driven up compliance and technology integration costs for 3PLs. While these challenges have increased operating expenses, many providers have offset costs by offering enhanced quality inspection services and introducing new service lines, often at higher rates. As a result, industry revenue grew at a CAGR of 4.5% over the five years to 2025, hitting $138.4 billion. Revenue will rise by a modest 0.3% in 2025, suggesting stability, though mounting labor and technology costs have compressed profit. Looking forward, market complexity is expected to deepen. More 3PL clients are investing in dual sourcing to increase supply chain reliability, complicating the coordination of inbound freight. The problem of freight fraud is prompting agencies to invest heavily in carrier vetting and oversight. At the same time, the traditional consulting role of 3PLs is being challenged as clients invest in supply chain technology, pushing 3PLs to focus on R&D and reposition themselves as implementation specialists and advisors. Growth opportunities exist in the expanding returns market, particularly in reverse logistics. Over the next five years through 2030, revenue is expected to rise at a CAGR of 2.2%, reaching nearly $154.4 billion, while ongoing cost pressures and increasing technological sophistication shape the industry’s trajectory.

Croatia Deposit Rate: FC: Households: Time Deposits: Long Term: Over 1 & up to 2 Years data was reported at 0.120 % pa in Dec 2022. This records an increase from the previous number of 0.110 % pa for Nov 2022. Croatia Deposit Rate: FC: Households: Time Deposits: Long Term: Over 1 & up to 2 Years data is updated monthly, averaging 0.960 % pa from Dec 2011 (Median) to Dec 2022, with 133 observations. The data reached an all-time high of 3.990 % pa in Jun 2012 and a record low of 0.090 % pa in Jul 2022. Croatia Deposit Rate: FC: Households: Time Deposits: Long Term: Over 1 & up to 2 Years data remains active status in CEIC and is reported by Croatian National Bank. The data is categorized under Global Database’s Croatia – Table HR.M005: Credit Institutions Deposit Rates: Outstanding Amounts (Discontinued).

The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% 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 July 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.

InnovizTech Soar To New All-Time Highs? (INVZ)

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