The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

Overview with Chart & Report: CFTC Nasdaq 100 Non-Commercial Net Positions indicator is the Commodity Futures Trading Commission's weekly report that reflects the difference between the total volume of long and short Nasdaq 100

Germany's main stock market index, the DE40, rose to 23722 points on December 2, 2025, gaining 0.56% from the previous session. Over the past month, the index has declined 1.70%, though it remains 18.51% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on December of 2025.

Context

Dataset contains essential financial fundamental indicators for 2389 companies included into NASDAQ index extracted from https://finintelligence.com service. Dataset contains 10 indicators from Income, Cash Flow and Assets statements.

Content

Dataset contains essential financial fundamental indicators for 2389 companies included into NASDAQ index extracted from https://finintelligence.com service. Dataset contains 10 indicators from Income, Cash Flow and Assets statements. Some indicators are automatically calculated, for example:

• Companies often don’t report Q4 indicators. From this reasons Q4 amounts may be calculated as annual amount - (Q1 + Q2 + Q3) amounts.

• Companies report some indicators ambiguously. For example companies may report Revenue as Sales of Services, Sales of Goods and in many other ways. From that reason Revenue and some other indicators were automatically mapped from variety of reported source indicators.

All indicators in datasets are provided for calendar quarters for years of 2014, 2015 and 2016. Periods are rounded to calendar quarters, for example Feb 1 - May 1 period is included as Q1 into dataset.

Each record contains period, company name, stock tickers (some companies have several tickers), indicator name and amount. Data is originally extracted from companies SEC filings.

Acknowledgements

Data is prepared and provided by https://finintelligence.com service. Service provides intelligent access to variety of corporate financial data extracted from companies documents, press releases and news. Service is absolutely free, no payment required. Visit us today!

Happy data hacking!

Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

The main stock market index of United States, the US500, rose to 6849 points on November 28, 2025, gaining 0.54% from the previous session. Over the past month, the index has declined 0.60%, though it remains 13.54% higher than a year ago, 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 2025.

A Python module using Jupyter Notebooks to take an existing dataset available at Kaggle and undertake some data cleansing, data hard coding and data science management so it can be more useful for Machine Learning models. Source of original dataset: https://www.kaggle.com/datasets/ifuurh/nasdaq100-fundamental-data

Introduction The problem we are trying to solve is that there are very limited datasets on Kaggle if you wish to apply ML models to the problem of individual stock Share Price prediction using financial statement ratios as your input data. This is a problem that needs addressing as there is a multi-billion global fundamental financial ratio investment analysis industry that is ripe for performance enhancement by Machine Learning. We believe that the best dataset for such a purpose on Kaggle was the above dataset that we found above. The problem with this dataset for ML model use was as follows: • There was a number of data attributes that were not shown across each annual period. We removed data attributes that were not populated across all the annual periods. • We filled in data that was missing and we replaced NANs and INFs with logical and reasonable fill values. • We attached label data being 12 month ahead Share Price returns for each stock and each annual period providing this data both as discrete percentage returns and binary outperform or underperform the Nasdaq 100 index labels.

Resulting Datasets The resulting datasets cover 102 stocks using 39 financial ratios across both 4 and 5 year periods using two different types of labels.

In summary, this repository provides a Jupyter Notebook that shows the steps undertaken to generate:

Two datasets for 2017 to 2021 with the Y labels attached at the end column. • labels 1 or 0: for binary outperformance against index. • perfs labels: for actual performance for the stock for that calendar year. And Two mote datasets for 2017 to 2020 with the same Y label data as above: • labels 1 or 0: for binary outperformance against index. • perfs labels: for actual performance for the stock for that calendar year.

Usage & Contributing At the moment the project is in development. You can use the repository and play with the Jupyter Notebook to generate your own datasets with differing assumptions to ours. We will then load up some ML models that we think can be the most effective at predicting 12 month forward Share Price outcomes based on the 39 financial ratios provided. We would welcome your thoughts on our models. Even better we would welcome YOUR ideas on the best models to use to solve such a prediction problem using these datasets? You can always help to get this problem solved. It's an open-source project after all!

Resources • Kaggle: https://www.kaggle.com/datasets/ifuurh/nasdaq100-fundamental-data • Jupyter Notebooks: https://jupyter.org/ • Yfinance: https://pypi.org/project/yfinance/

Der Wochenbericht der "Commodity Futures Trading Commission" (CFTC) über die nichtkommerziellen Nettopositionen von Nasdaq 100 spiegelt die Differenz der existierenden "Long-" und

United Kingdom's main stock market index, the GB100, fell to 9690 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 0.12%, though it remains 15.91% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on December of 2025.

Lindicateur CFTC Nasdaq 100 Non-Commercial Net Positions est le rapport hebdomadaire de la Commodity Futures Trading Commission qui traduit la différence entre le volume total des positions à terme

Nasdaq 100 - Posições líquidas de especuladores no relatório da CFTC (CFTC Nasdaq 100 Non-Commercial Net Positions), trata-se de um relatório semanal da Commodity Futures Trading Commission que

Чистый объем спекулятивных позиций по Nasdaq 100 от CFTC (CFTC Nasdaq 100 Non-Commercial Net Positions) еженедельный отчет Комиссии по торговле товарными фьючерсами, который отражает разницу между

The main stock market index of United States, the US500, rose to 6825 points on December 2, 2025, gaining 0.18% from the previous session. Over the past month, the index has declined 0.39%, though it remains 12.82% higher than a year ago, 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 December of 2025.

Financial-Leverage-Ratio Time Series for WW International, Inc. Common Stock. WW International, Inc. provides weight management products and services in the United States, Germany, and internationally. It offers various nutritional, activity, behavioral, and lifestyle tools and approaches for individual weight goals, as well as for people taking GLP-1 medications or living with diabetes. The company also provides various digital subscription products to weight loss and weight management business, which provide interactive and personalized resources that allow users to follow its weight management program through its app and web-based platform, as well as allows members to inspire and support each other by sharing their experiences with other people on weight health journeys. In addition, it licenses its trademarks and other intellectual property in food, beverages, and other weight management-relevant consumer products and services, as well as provides publishing services. The company was formerly known as Weight Watchers International, Inc. and changed its name to WW International, Inc. in September 2019. WW International, Inc. was founded in 1963 and is headquartered in New York, New York.

Return-On-Equity Time Series for Financial Institutions Inc. Financial Institutions, Inc., through its subsidiaries, provides banking and financial services to consumer, commercial, and municipal customers in New York. The company provides checking and savings account programs, including money market accounts, certificates of deposit, sweep investments, and individual retirement and other qualified plan accounts, as well as NOW accounts. It also offers commercial loan products include term loans and lines of credit; short and medium-term commercial loans for working capital, business expansion, and purchase of equipment; commercial business loans; commercial mortgage loans; one-to-four family residential mortgage loans; home improvement loans, closed-end home equity loans, and home equity lines of credit; and consumer loans, such as automobile, secured installment, and other secured and unsecured personal loans, as well as recreational vehicle, boat, and deposit account collateralized loans. In addition, it offers customized investment advisory, wealth management, investment consulting, and retirement plan services, as well as operates a real estate investment trust that holds residential mortgages and commercial real estate loans. Financial Institutions, Inc. was founded in 1817 and is headquartered in Warsaw, New York.

Prices for United States Stock Market Index (USVIX) including live quotes, historical charts and news. United States Stock Market Index (USVIX) was last updated by Trading Economics this December 2 of 2025.

Price-To-Sales-Ratio Time Series for Financial Institutions Inc. Financial Institutions, Inc., through its subsidiaries, provides banking and financial services to consumer, commercial, and municipal customers in New York. The company provides checking and savings account programs, including money market accounts, certificates of deposit, sweep investments, and individual retirement and other qualified plan accounts, as well as NOW accounts. It also offers commercial loan products include term loans and lines of credit; short and medium-term commercial loans for working capital, business expansion, and purchase of equipment; commercial business loans; commercial mortgage loans; one-to-four family residential mortgage loans; home improvement loans, closed-end home equity loans, and home equity lines of credit; and consumer loans, such as automobile, secured installment, and other secured and unsecured personal loans, as well as recreational vehicle, boat, and deposit account collateralized loans. In addition, it offers customized investment advisory, wealth management, investment consulting, and retirement plan services, as well as operates a real estate investment trust that holds residential mortgages and commercial real estate loans. Financial Institutions, Inc. was founded in 1817 and is headquartered in Warsaw, New York.

Return-On-Equity Time Series for BitFuFu Inc. Class A Ordinary Shares. BitFuFu Inc., together with its subsidiaries, provides digital asset mining solutions in North America, Asia, Europe, and internationally. The company offers cloud-mining services and miner hosting services to institutional customers and individual digital asset enthusiasts. It also provides Bitcoin self-mining, sourcing services for mining machine transactions, and mining machine hosting services. In addition, the company leases and sells mining equipment. BitFuFu Inc. is headquartered in Singapore.

Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this December 2 of 2025.

Dividend-Yield Time Series for Virtu Financial, Inc.. Virtu Financial, Inc. operates as a financial services company in the United States, Ireland, and internationally. It operates through two segments: Market Making and Execution Services. The company's product includes offerings in execution, liquidity sourcing, analytics and broker-neutral, capital markets, and multi-dealer platforms in workflow technology. Its product allows its clients to trade on various venues across 50 countries and in various asset classes, including global equities, ETFs, options, foreign exchange, futures, fixed income, cryptocurrencies, and myriad other commodities. The company's multi-asset analytics platform provides a range of pre- and post-trade services, data products, and compliance tools for clients to invest, trade, and manage risk across global markets. Virtu Financial, Inc. was founded in 2008 and is headquartered in New York, New York.