In 2020, as much as ** percent of respondents considered Bankier.pl to be the most important source of information on the internet addressed to investors in Poland. The portal was significantly ahead of financial services, i.e., stooq.pl, money.pl, and stockwatch.pl.

Yahoo.com was the most-visited finance-related website worldwide in 2024, with an average of ************ visits. Paypal.com was ranked second with ************* monthly visits, while tradingview.com was ranked third, with ************* average accesses.

A complete list of live websites using the Top Position Google Finance technology, compiled through global website indexing conducted by WebTechSurvey.

In 2024, Zerodha.com was the most-visited investment website worldwide, with an average of ************ visits per month during the measured period. Forexfactory.com was ranked second, with ************ visits, followed by Vanguard.com, with ************ average accesses during the analyzed period.

In March 2024, chase.com was the leading financial service website in the United States. During the measured period, the digital payments platform accounted for over 4.46 percent of desktop traffic in the finance subcategory. Intuit.com was ranked second with a 3.61 percent market share.

The Financial Data category offers insights into the inner workings of financial institutions, hedge funds, and investment companies. This data is gleaned from the website of the world-renowned investment bank, Goldman Sachs. As one of the most respected financial institutions globally, Goldman Sachs is a leading player in the world of high finance, and its website provides a wealth of information on the company's investment strategies, market analysis, and financial news. With a rich history dating back to 1869, Goldman Sachs is known for its expertise in investment banking, securities, and asset management.

Through its website, Goldman Sachs shares its knowledge and expertise on topics such as mergers and acquisitions, equity and fixed income trading, and private wealth management. Financial data enthusiasts can access a treasure trove of information on company performance, market trends, and industry insights, all provided by one of the most respected voices in the financial world. By exploring Goldman Sachs' website, users can gain a deeper understanding of the company's role in shaping the global financial landscape and its impact on the markets.

In April 2022, Paypal.com was the most popular financial service company in the United States with monthly web traffic of over *** million visits. Capitalone.com was ranked secons with *** million monthly visits. Apart from the major banks, investing and trading services are also popular with consumers.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Context

If you are satisfied in data and code, please upvote :)👍 The investing is necessary for everyone's future. I think that just knowing the meaning of the variables without interpreting this dataset is enough to study. This data is an S&p500 index, taken from yahoo finance. Contains multiple financial statements and represents prices over a period of about 10 years(2010-01-01 - 2022-04-18(version 12)) we can analyze price of stocks by time series with comparing financial statements that it is expected to be good measurement of correlation! Have you fun!🎉

The data format is received as json and can be used as a data frame. The script used can be checked at Github repository and if you want longer time scale data or up-to-date data, please run the script from the link. And also, if you want another list of stock, you should check the link which can analysis like Dow (tickers are 30), nasdaq (ticker are about 3000).

If you interest this data and code, Pleases see notebooks of strategy :)

I'm still learning Python, so if you find messy code execution or have a better way of doing it, let me know!! and Please contact me :) I think it will be a good study.

Content

• In FS_sp500_Value.json It is presented by price like 'Open', 'Close' and so on.

• In FS_sp500_RecentValue.json It is presented by Current price.

• In FS_sp500_stats.json. It is summary statement for each ticker.

• In FS_sp500_addstats.json It is fundamental statement not to be presented in stats.

• In FS_sp500_balsheets.json It is presented in balance sheets.

• In FS_sp500_income.json It is presented in income statements.

• In FS_sp500_flow.json It is presented by cash flow.

All data is presented recently. If you want the statements before, Pleases check and fix below code.

Acknowledgements

I'm studying physics and writing code of python and c++. However I'm not used to it yet and also English :(. Let you know if it is not correctly for code and English :🙏

Inspiration

In interpreting the stock market, there are traditionally low PER and PBR strategies. Prior to this, an ML model using various statements and a price estimation model using time series data have been proposed recently, but we know that they are of little use. This data is highly likely to be used for various analyzes, and it is considered to be basic data for understanding the stock's market. Let's study together and find the best model!

If you are satisfied in data and code, please upvote :)👍

The growth of the Internet since its inception has fueled strong demand and profitability for web design services, as both businesses and households increasingly conduct activities online. The pandemic accelerated this trend, forcing businesses to upgrade their digital presence amid lockdowns and remote work, which resulted in significant revenue gains for web designers in 2020. This trend continued in 2021 as the strong economic recovery boosted corporate profit and gave businesses greater funds to invest in the industry’s services. More recently, high inflation and rising interest rates have raised costs and curtailed demand, with some businesses opting for cheaper alternatives like templates rather than custom web design, contributing to a drop in revenue in 2022. Despite these challenges, rising stock prices linked to AI advancements pushed business income substantially upward, enabling further investment in web design through 2023 and 2024 and benefiting revenue. However, high inflation and rising interest rates have recently raised costs and curtailed demand, with some businesses opting for cheaper alternatives like templates rather than custom web design. In response to shifting client expectations, web designers now prioritize mobile-first design, rapid performance, personalization and interactive content. These adaptations, along with investments in new technologies, have allowed web designers—especially smaller ones—to differentiate themselves and sustain long-term growth. Overall, revenue for web design services companies has swelled at a CAGR of 2.3% over the past five years, reaching $47.4 billion in 2025. This includes a 1.5% rise in revenue in that year. Market saturation will limit revenue growth for website designers moving forward. With nearly all US adults now using the Internet, opportunities for finding new customers are dwindling as internet usage approaches universality. As a result, major providers may turn to mergers and acquisitions to maintain market share, while smaller companies will likely focus on niche markets or specific geographies to secure stable income. Additionally, tariffs imposed by the Trump administration could further restrain demand by increasing consumer prices, reducing disposable income and pushing the economy toward recession. In response, web designers may expand geographically to find new clients. Amid these headwinds, AI and automation technologies are transforming design workflows, increasing efficiency while fostering a greater need for skilled workers and enabling more tailored services. Companies are also adapting by prioritizing inclusivity and sustainability, attracting broader demographics and eco-conscious clients. Overall, revenue for web design services providers is forecast to inch upward at a CAGR of 1.1% over the next five years, reaching $49.9 billion in 2030.

Last week, President Biden signed the $280 billion CHIPs and Science Act. American companies such as Intel and Micron Technology have announced substantial investments in chip manufacturing in an effort to lobby for these subsidies but now announce that they are pulling back as demand for hips used in electronics such as laptops and cell phones is weakening. Semiconductor stocks are struggling, as Micron became the latest chipmaker this week to fret over a slowdown in demand. Still, Micron announced that it will use “anticipated” government grants and credits to help it invest $40 billion by the end of the decade to build out US semiconductor manufacturing capacity. Most of Micron’s production (chip fabrication) is now done in Japan, Singapore and Taiwan. Based on information from the best investing websites, investors have been shunning the sector on concerns that chipmakers are heading into what could be a lengthy sales slump after pandemic years of strong demand. This is also impacting high margin semiconductor chip designers like Nvidia and AMD and even the stocks of makers of the equipment critical to the production of chips such as Lam Research have been hit hard. Summing up, of the ten worst performing stocks in the Nasdaq 100 this month, at least seven are chip stocks and the semiconductor index has fallen about 27% this year. All this just goes to show one why timing is so important to investing in volatile, complex sectors like semiconductors and why government efforts to help them thrive need to be carefully executed, if at all. The same goes for electric vehicles (EV), which is an ecosystem of its own with a lot of moving parts from batteries to rare earths to charger infrastructure. Here China is eating the lunch of America with Europe not all that far behind. My favorite EV pick Ford (F) is raising the price of the F-150 Lightning electric pickup due to higher input prices by about $6,000-$8,500, depending on the model, to a starting price of about $47,000–$97,000. Tesla, GM, and Rivian are also boosting prices so that the median regular car is still about 50% cheaper than a comparable EV. In China, the price gap between a regular car and EV is only about 10%, according to the best stock research websites. EV raw material costs are more than double the average internal combustion engine vehicle costs according to AlixPartners. Again, this is a big advantage to China due to its domestic production of tech metals and lower labor costs. The below chart captures the amazing growth of EVs in the last decade, especially for BRK.B Intrinsic Value: In 2011, only around 55,000 electric vehicles (EVs) were sold around the world and by 2021, that figure had grown to about 7 million vehicles. Until 2014, the U.S. was the EV leader with a strong BRK.B DCF and then in 2015, China’s EV sales grew by 238% and it grabbed the leading position. China now accounts for about half of global EV sales. China has more than a 100 EV automakers and nearly 300 EV models available for purchase, more than any other country, and it’s also home to four of the world’s ten largest battery manufacturers. America and Germany are next with sales each of around 700,000 EVs in 2021, with Tesla accounting for about half of American sales and an increasing BRK.B WACC. Germany hosts some of the biggest EV factories in Europe, with Tesla, Volkswagen, and Chinese battery giant CATL either planning or operating ‘gigafactories’ there. Strategic Wealth’s stock EV recommendations such as Chargepoint (CHPT) are in a strong uptrend. Become a member today to get all our ideas to help you build wealth.

The type of sources used to seek information before making investment decisions differ between investors with different experience levels. Holdover account owners tended to use financial professionals to a larger extent, while experienced entrants more commonly use annual reports or company websites, or other personal research. The most used source of information among new investors was friends or family, with ** percent. Only ** percent of holdover account owners used this as a source of information before making investment decisions.

PSX Listed Companies Dataset

Overview

This dataset contains detailed information about companies listed on the Pakistan Stock Exchange (PSX). The PSX is the premier stock exchange in Pakistan, where companies from various sectors are publicly listed for trading. The data was scraped from the official PSX website and includes essential information about each listed company, its representative, and contact details. This dataset can be valuable for anyone interested in financial markets, business research, or investment opportunities within Pakistan.

Data Features

The dataset contains the following columns:

• Representative: Name of the company representative.
• Designation: The representative's role or title within the company.
• Company: Name of the listed company.
• Address: Official mailing address of the company.
• Phone: Primary contact number.
• Phone 2: Additional contact number (if available).
• Fax: Fax number (if available).
• Date of Listing: The date when the company was listed on the PSX.
• Email: The contact email address of the representative or company.
• URL: The company's website.
• Registrar Details: Information about the company's registrar, which handles the company's share-related matters.

Sectors Represented

The dataset includes companies from a wide variety of sectors, reflecting the diversity of industries on the PSX. Some key sectors include: - Automobile Assembler - Cement - Commercial Banks - Fertilizer - Food & Personal Care Products - Pharmaceuticals - Technology & Communication - Textile Composite

And many more, totaling 37 different sectors.

Usage

This dataset can be used for multiple purposes: 1. Financial Analysis: Explore the performance of different sectors and companies listed on the PSX. 2. Investment Research: Identify key players in different industries for investment opportunities. 3. Business Development: Build contact lists for companies within a specific sector. 4. Data Science & Machine Learning Projects: Use this dataset for clustering, classification, or sentiment analysis in financial markets.

Data Format

The dataset is available in CSV format, making it easy to load into data analysis tools like Pandas, Excel, or Power BI. It's structured for easy exploration and can be integrated into financial models or research projects.

Acknowledgements

The data was scraped from the official PSX website using a custom Python script. Special thanks to the open-source community for tools like Selenium, BeautifulSoup, and Pandas, which made this project possible.

License

This dataset is provided for educational and research purposes. Please give proper attribution when using this dataset in your work.

Feel free to explore, analyze, and share your insights!

For more than two decades, increased internet usage has driven growth in web domain name sales. From 2020 to 2025, online business activity rose significantly, with tech investments from companies like Amazon and Tesla further benefiting providers. These tech advances have allowed domain providers to create sophisticated management platforms, driving more businesses to invest in websites and, therefore, boosting revenue growth. The additional income has enabled providers to expand geographically and explore alternative top-level domains (TLDs). Despite long-term expansion, revenue for web domain name sellers has been volatile because of economic factors like recessionary fears and fluctuating interest rates. Demand decreased during the pandemic but rebounded as the economy recovered in 2021 and 2022. Recent interest rate hikes dampened investment in the industry’s services as businesses cut back on creating new websites to preserve their profitability, causing a slowdown in revenue in 2023 and 2024. Despite signs of recovery in late 2024, uncertainties remain regarding future demand as the path of interest rates is unclear. Sellers are increasingly focusing on brandable domains and niche markets to stabilize income, as the secondary market for domain names has grown, impacting pricing and profitability strategies. Concurrently, profit has jumped as providers offering domains with advanced security features have been able to hike their prices. Overall, revenue for web domain name sellers has surged at a CAGR of 4.2% over the past five years, reaching $10.1 billion in 2025. This includes a 2.9% rise in revenue in that year. Providers will face benefits and challenges in the next five years. As the US economy continues to become more digitally oriented, demand for web domain names is expected to grow, with online business projected to rise significantly by 2030. The pandemic-induced shift in consumer behavior toward omnichannel retail experiences will drive new and small retailers to establish online presences, positively impacting domain registrars. However, challenges such as tariffs recently imposed by the Trump administration might constrain revenue growth in the short term, potentially affecting consumer spending and economic stability. Despite these hurdles, the adoption of AI in domain sales could enhance efficiency, reduce costs and improve customer service. Furthermore, increased emphasis on security will lead domain sellers to offer advanced protective features, raising expenses but strengthening customer trust. Spending on international domain names in native scripts will present new opportunities, especially among non-English speaking communities. This evolving landscape promises long-term revenue growth for domain name providers, despite the need for strategic investments to navigate challenges effectively. Overall, revenue for web domain name sellers is forecast to expand at a CAGR of 3.4% in the next five years, reaching $12.0 billion in 2030.

Digitalization of the selling process was the area most heavily invested in by B2B companies in Germany in the first quarter of 2023. Around ** percent of companies invested in content marketing.
Importance of B2B investments
E-commerce is a fast-paced market, so companies must constantly invest to maximize their profits. Around ** percent of B2B companies in Germany expected their online revenue to either stay stable or increase in the upcoming months. Therefore, it is logical that these companies are investing heavily in the digitalization of the selling process and social media, since a smoother customer experience often results in higher revenues. The main points of focus for B2B businesses when it came to investing in their online stores were SEO/SEA, relaunching/ replatforming, and product data maintenance. SEO and SEA are different methods of ensuring that a website scores higher in search engine results, so the customers easily find it. This is an important investment because more traffic on the website increases the chances of purchases being made, which, of course, leads to higher revenues.
Are marketplaces a must?
Traditionally, marketplaces were used to describe a square or area in which a market was held. Vendors would come and sell their merchandise together in different towns each day, providing the residents a one-stop shop to buy various necessities. Nowadays, marketplaces typically refer to online sites such as Amazon or eBay. The principle, however, is very similar to that of the traditional marketplace, with small and large companies all selling their products on the same site. Many people turn to websites such as these to find products they need, which means that companies who only sell products on their own site are missing out on this consumer base

This statistic shows the most popular business, finance and law websites in Poland in 2018, broken down by real users. The money.pl website, visited in December 2018 by *** million users, attracted the most popularity. Second place in the ranking was taken by businessinsider.com.pl, which reached *** million people.

Context

If you are satisfied in data and code, please upvote :)👍 The investing is necessary for everyone's future. I think that just knowing the meaning of the variables without interpreting this dataset is enough to study. This data is an Nasdaq index, taken from yahoo finance. Contains multiple financial statements and represents prices over a period of about 10 years(2010-01-01 - 2021-06-30) we can analyze price of stocks by time series with comparing financial statements that it is expected to be good measurement of correlation! Have you fun!🎉

The data format is received as json and can be used as a data frame. The script used can be checked at Github repository and if you want longer time scale data or up-to-date data, please run the script from the link. And also, if you want another list of stock, you should check the link which can analysis like Dow (tickers are 30), S&P500 (ticker are 500).

If you interest this data and code, Pleases see notebooks of strategy :)

I'm still learning Python, so if you find messy code execution or have a better way of doing it, let me know!! and Please contact me :) I think it will be a good study.

Content

• In FS_nasdaq_Value.json(csv) It is presented by price like 'Open', 'Close' and so on.

• In FS_nasdaq_Recent+Value.json(csv) It is presented by recent price (2021-06-30)

All data is presented recently. If you want the statements before, Pleases check and fix below code.

Acknowledgements

I'm studying physics and writing code of python and c++. However I'm not used to it yet and also English :(. Let you know if it is not correctly for code and English :🙏

Inspiration

In interpreting the stock market, there are traditionally low PER and PBR strategies. Prior to this, an ML model using various statements and a price estimation model using time series data have been proposed recently, but we know that they are of little use. This data is highly likely to be used for various analyzes, and it is considered to be basic data for understanding the stock's market. Let's study together and find the best model!

If you are satisfied in data and code, please upvote :)👍

Approximately ** percent of homebuyers in the United States in 2024 found their lender through a referral from a real estate agent, realtor, or broker. Real estate websites emerged as the second most important lead channel, according to ** percent of the respondents.

Last Update - 9th FEB 2025

Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

THIS IS THE LARGEST DATASET ON NIFTY 100 STOCKS WITH EACH MINUTES AND DAILY DATA (2015 to 2025)

The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. It is one of the two main stock indices used in India, the other being the BSE SENSEX.

Nifty 50 is owned and managed by NSE Indices (previously known as India Index Services & Products Limited), which is a wholly-owned subsidiary of the NSE Strategic Investment Corporation Limited.NSE Indices had a marketing and licensing agreement with Standard & Poor's for co-branding equity indices until 2013. The Nifty 50 index was launched on 22 April 1996, and is one of the many stock indices of Nifty.

The NIFTY 50 index is a free-float market capitalization-weighted index. The index was initially calculated on a full market capitalization methodology. On 26 June 2009, the computation was changed to a free-float methodology. The base period for the NIFTY 50 index is 3 November 1995, which marked the completion of one year of operations of the National Stock Exchange Equity Market Segment. The base value of the index has been set at 1000 and a base capital of ₹ 2.06 trillion.

Content This dataset contains Nifty 100 historical daily prices. The historical data are retrieved from the NSE India website. Each stock in this Nifty 500 and are of 1 minute itraday data.

Every dataset contains the following fields. Open - Open price of the stock High - High price of the stock Low - Low price of the stock Close - Close price of the stock Volume - Volume traded of the stock in this time frame

Inspiration

• Data is uploaded for Research and Educational purposes.
• The data scientists and researchers can download and can build EDA, find Correlations, and perform Regression analysis on it.
• Quant researchers can build strategies and backtest their strategies with this dataset.

Stock Names

| ACC | ADANIENT | ADANIGREEN | ADANIPORTS | AMBUJACEM | | -- | -- | -- | -- | -- | | APOLLOHOSP | ASIANPAINT | AUROPHARMA | AXISBANK | BAJAJ-AUTO | | BAJAJFINSV | BAJAJHLDNG | BAJFINANCE | BANDHANBNK | BANKBARODA | | BERGEPAINT | BHARTIARTL | BIOCON | BOSCHLTD | BPCL | | BRITANNIA | CADILAHC | CHOLAFIN | CIPLA | COALINDIA | | COLPAL | DABUR | DIVISLAB | DLF | DMART | | DRREDDY | EICHERMOT | GAIL | GLAND | GODREJCP | | GRASIM | HAVELLS | HCLTECH | HDFC | HDFCAMC | | HDFCBANK | HDFCLIFE | HEROMOTOCO | HINDALCO | HINDPETRO | | HINDUNILVR | ICICIBANK | ICICIGI | ICICIPRULI | IGL | | INDIGO | INDUSINDBK | INDUSTOWER | INFY | IOC | | ITC | JINDALSTEL | JSWSTEEL | JUBLFOOD | KOTAKBANK | | LICI | LT | LTI | LUPIN | M&M | | MARICO | MARUTI | MCDOWELL-N | MUTHOOTFIN | NAUKRI | | NESTLEIND | NIFTY 50 | NIFTY BANK | NMDC | NTPC | | ONGC | PEL | PGHH | PIDILITIND | PIIND | | PNB | POWERGRID | RELIANCE | SAIL | SBICARD | | SBILIFE | SBIN | SHREECEM | SIEMENS | SUNPHARMA | | TATACONSUM | TATAMOTORS | TATASTEEL | TCS | TECHM | | TITAN | TORNTPHARM | ULTRACEMCO | UPL | VEDL | | WIPRO | YESBANK | | | |

Online financial services were very popular among Chinese investors. Most clients prefer to use the brokerage's website or mobile application. However, around ** percent of respondents stated that they invested via payment platforms, such as Alipay and WeChat Pay.