Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

The main stock market index in the United States (US500) increased 1133 points or 23.75% since the beginning of 2024, 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 November of 2024.

Context

High-quality financial data is expensive to acquire and is therefore rarely shared for free. Here I provide the full historical daily price and volume data for all US-based stocks and ETFs trading on the NYSE, NASDAQ, and NYSE MKT. It's one of the best datasets of its kind you can obtain.

Content

The data (last updated 11/10/2017) is presented in CSV format as follows: Date, Open, High, Low, Close, Volume, OpenInt. Note that prices have been adjusted for dividends and splits.

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

Inspiration

Many have tried, but most have failed, to predict the stock market's ups and downs. Can you do any better?

Graph and download economic data for Financial Market: Share Prices for United Kingdom (SPASTT01GBM661N) from Dec 1957 to Oct 2024 about stock market and United Kingdom.

Access a detailed Netflix stock price dataset with historical records on opening, highest, lowest, closing prices, adjusted closing prices, and trading volumes.

We offer historical price data for equity indexes, ETFs and individual stocks in a Open/High/Low/Close (OHLC) format and can add almost any other required metric. We cover all major markets and many minor markets. Available for one-time purchase or with regular updates. Real-time/near-time (usually anything quicker than a 15min delay) requires an additional licence from the respective exchange, anything slower does not.

It include Multi-source data that affect stock prices, such as stock historical trading data and stock forum sentiment indicator.搜索复制

Dataset

This dataset was created by Ismail Hossain Polas

Released under Database: Open Database, Contents: Database Contents

Contents

This paper examines whether variations in demographic structure have influenced stock prices. The study employs a nonparametric approach based on the Fourier Flexible Form representation, which relates variations in the entire age distribution to the normalized stock price under a flexible functional form. The main findings of this paper are that there is a significant impact from prime working-age consumers on the stock price, and that this impact is robust for all G5 countries (France, Germany, Japan, the UK and the USA). These findings survive many robust tests, and are consistent with the predictions from the life-cycle models.

United States Steel stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Graph and download economic data for Financial Market: Share Prices for Sweden (SPASTT01SEQ661N) from Q1 1950 to Q3 2024 about Sweden and stock market.

This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for year 2022 (Jan-May). This data is valuable for any machine learning algorithm that needs data (training, validation, testing). This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012 [4].

This new dataset augments the NSE dataset for 2007-2012 [4], 2013 to 2020 [5] and that for 2021 [6]. The method of data compilation has remained as done for all the other datasets by scrapping from a publicly accessible website [7] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price. One additional CSV file is also provided to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

This additional dataset provides researchers with an even larger dataset (2007-2022) of stocks market data including market sector information for bigger opportunities of data analysis and usage in machine learning research.

List of data files on this dataset: NSE_data_all_stocks_2022_jan_to_may.csv NSE_data_stock_market_sectors_2022.csv

References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 [4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 [5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 [6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5 [7] Synergy Systems Ltd. (2020). MyStocks. Retrieved May 31, 2022, from http://live.mystocks.co.ke/

“I wish to see the United States the dominant power on the shores of the Pacific Ocean.”Theodore Roosevelt, 1900In July of 1905, America sent an impressive delegation of officials on a cruise throughout Asia. The purpose of this expedition was to make an emphatic statement that America intended to be a significant Pacific power. Financial data in spreadsheets is from Finsheet (https://finsheet.io).James Bradley’s The Imperial Cruise is a fascinating and skeptical view of this junket and America’s strategy in Asia. His main point is that the American backing of Japan as the lead ally in Asia led to a century of conflict.The major rising power in Asia now is clearly China.I would like to outline China’s economic and strategy in Asia and explain why it is important for you as an investor.To begin, in Asia, economics is security.Realizing this, China is leveraging its recently gained economic heft to execute a plethora of bilateral and regional trade and investment deals in Southeast and South Asia. The goal is to boost China’s growth and security by tying together Asia in a web of relationships with China at the center. China is determined to be Asia’s core consumer market and primary source of capital for private companies as well as governments.China is also attempting to link all these markets together through funding and building infrastructure throughout the region. Some examples are its Silk Road initiative and the recently launched Asia Infrastructure Investment Bank. This is crucial to get stock price in Excel (https://appsource.microsoft.com/en-us/product/office/WA200003886).Asia-Pacific region is undergoing dramatic economic and political change. Asian countries are going from being exporters to consumers, from borrowers to investors, and from being dependent on Western market to trading and investing more amongst each other.All of these trends require that America better understand, adapt, engage and compete with this new Asia. And investors need the right strategy to capture the growth while managing the risk.Welcome to the Sweetspot and Cockpit of the Pacific CenturyChina’s efforts are focused on two groupings. The first is the ten countries in Southeast Asia that make up the ASEAN organization. This grouping includes countries such as Singapore, Malaysia, Indonesia, Thailand and the Philippines.It might surprise to learn that this group comprises a population of 625 million consumers and a total GDP of over $2.5 trillion with $25 stock price in Google Sheets (https://workspace.google.com/marketplace/app/stock_price_in_google_sheets_finsheet/574480000400). ASEAN is also America’s fourth largest trading partner. And over the last couple of years, foreign investment in ASEAN countries has been larger than investment in China.From the value investing perspective (https://valueinvesting.io), the second grouping is what the investment community calls Frontier Asia. This group begins with Vietnam and extends to countries such as Laos, Cambodia, Burma, Mongolia and Sri Lanka. As China’s wages have increased sharply, foreign investment in these countries has soared.A decade ago China signed a free trade agreement with ASEAN allowing 90% of goods to trade at zero tariffs and trade doubled within a year. This tutorial shows how to get stock price in Excel (http://www.columbia.edu/~tmd2142/how-to-get-stock-price-in-excel.html).Meanwhile, Japanese companies and its government have long been very active in Southeast and Frontier Asia. One example is its recent $1.7 billion aid package to Vietnam – one of the fastest growing countries in the world with a burgeoning 100 million plus population.A wave of capital is washing over Vietnam. Foreign investment projects announced during March 2016 include:Samsung R&D Center - $300 millionZincox Resources steel plant - $115 millionNestle’s 6th factory - $70 million ($520 million total)LG Display doubling manufacturing base - $1.5 billion.Ride an Elephant to the Asian FrontierIn the 19th century, there was a common expression used to describe the early intrepid explorers of the American West. They were said to be “seeing the elephant” – that is that they were seeing “all that could be seen.”On Wall Street even today, brokers looking for ten bagger stocks and portfolio man

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 May 14, 2024, GameStop shares were trading at nearly 50 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.

Home Depot stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Dataset

This dataset was created by HaTrinh1

Contents

This statistic shows the stock prices of selected raw material commodities from January 2, 2020 to April 15, 2024. After the Russian invasion of Ukraine in February 2022, metal prices increased significantly due to disruptions to supply chain and increased demand. Since then, stock values of raw materials started to decrease albeit with some fluctuations.

These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.

Graph and download economic data for Index of Stock Prices (General) for Germany (M1123BDEM334NNBR) from Jan 1924 to Dec 1935 about Germany, stock market, and indexes.