Japan's main stock market index, the JP225, fell to 39670 points on July 2, 2025, losing 0.79% from the previous session. Over the past month, the index has climbed 5.94%, though it remains 2.24% lower 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 July of 2025.

Jordan Agricultural Price: Average: Central Market: Broad Beans data was reported at 476.900 Fils/kg in 2016. This records a decrease from the previous number of 680.800 Fils/kg for 2015. Jordan Agricultural Price: Average: Central Market: Broad Beans data is updated yearly, averaging 402.750 Fils/kg from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 774.500 Fils/kg in 2014 and a record low of 220.500 Fils/kg in 2001. Jordan Agricultural Price: Average: Central Market: Broad Beans data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Jordan – Table JO.P001: Agricultural Price: Average.

China's main stock market index, the SHANGHAI, fell to 3455 points on July 2, 2025, losing 0.08% from the previous session. Over the past month, the index has climbed 2.77% and is up 15.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Over the last two observations, the price,combined is forecast to significantly increase in all segments. As part of the positive trend, the price,combined reaches the maximum value for all two different segments at the end of the comparison period. Particularly noteworthy is the segment Instant Coffee, which has the highest value of 96.22 U.S. dollars. Find further statistics on other topics such as a comparison of the combined revenue in Italy and a comparison of the combined volume in Japan. The Statista Market Insights cover a broad range of additional markets.

Analysis of ‘📊 Financial market screener’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/pierrelouisdanieau/financial-market-screener on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

In this dataset you will find several characteristics on global companies listed on the stock exchange. These characteristics are analyzed by millions of investors before they invest their money.

Analyze the stock market performance of thousands of companies ! This is the objective of this dataset !

Content

Among thse charateristics you will find :

• The symbol : The stock symbol is a unique series of letters assigned to a security for trading purposes.
• The shortname : The name of the company
• The sector : The sector of the company (Technology, Financial services, consumer cyclical...)
• The country : The location of the head office.
• The market capitalisation : Market capitalization refers to the total dollar market value of a company's outstanding shares of stock. It is calculated by multiplying the total number of a company's outstanding shares by the current market price of one share.
• The current ratio : The current ratio is a liquidity ratio that measures a company’s ability to pay short-term obligations. A current ratio that is in line with the industry average or slightly higher is generally considered acceptable. A current ratio that is lower than the industry average may indicate a higher risk of distress or default.
• The beta : Beta is a measure of a stock's volatility in relation to the overall market. A beta greater than 1.0 suggests that the stock is more volatile than the broader market, and a beta less than 1.0 indicates a stock with lower volatility.
• The dividend rate : Represents the ratio of a company's annual dividend compared to its share price. (%)

All this data is public data, obtained from the annual financial reports of these companies. They have been retrieved from the Yahoo Finance API and have been checked beforehand.

Inspiration

This dataset has been designed so that it is possible to build a recommendation engine. For example, from an existing position in a portfolio, recommend an alternative with similar characteristics (sector, market capitalization, current ratio,...) but more in line with an investor's expectations (may be with less risk or with more dividends etc...)

If you have question about this dataset you can contact me

--- Original source retains full ownership of the source dataset ---

The S&P 500, an index of 500 publicly traded companies in the United States, closed at 5,881.63 points on the last trading day of December 2024. What is the S&P 500? The S&P 500 is a stock market index that tracks the evolution of 500 companies. In contrast to the Dow Jones Industrial Index, which measures the performance of thirty large U.S. companies, the S&P 500 shows the sentiments in the broader market. Publicly traded companies Companies on the S&P 500 are publicly traded, meaning that anyone can invest in them. A large share of adults in the United States invest in the stock market, though many of these are through a retirement account or mutual fund. While most people make a modest return, the most successful investors have made billions of U.S. dollars through investing.

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.

BRAC Broad Capital Acquisition Corp Common Stock

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 average revenue per capita in the 'Pet Food' segment of the food market in Indonesia was forecast to continuously increase between 2025 and 2030 by in total 3.4 U.S. dollars (+44.91 percent). After the twelfth consecutive increasing year, the average revenue per capita is estimated to reach 10.97 U.S. dollars and therefore a new peak in 2030. Notably, the average revenue per capita of the 'Pet Food' segment of the food market was continuously increasing over the past years.Find further information concerning the average revenue per capita in the 'Yogurt' segment of the food market in Switzerland and the volume in the 'Yogurt' segment of the food market in Pakistan. The Statista Market Insights cover a broad range of additional markets.

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.

Are Broad (BRACR) Rights Primed for Takeoff?

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 global arpu in the shared mobility market was forecast to continuously decrease between 2025 and 2029 by in total 3.2 U.S. dollars (-1.1 percent). According to this forecast, in 2029, the arpu will have decreased for the third consecutive year to 286.42 U.S. dollars. Find more key insights for the arpu in countries and regions like the revenue in the 'Car-sharing' segment of the shared mobility market in India and the number of users in the 'Flights' segment of the shared mobility market in the world. The Statista Market Insights cover a broad range of additional markets.

The average price in the motorcycles market in Germany was forecast to continuously increase between 2024 and 2029 by in total 0.2 thousand U.S. dollars (+1.55 percent). After the eleventh consecutive increasing year, the average price is estimated to reach 13.11 thousand U.S. dollars and therefore a new peak in 2029. Find further information concerning the number of unit sales in the motorcycles market in China and the revenue in the motorcycles market in Jamaica. The Statista Market Insights cover a broad range of additional markets.

Over the last two observations, the price per unit is forecast to significantly increase in all segments. The trend observed from 2020 to 2030 remains consistent throughout the entire forecast period. There is a continuous increase in the price per unit across all segments. Notably, the Chocolate Confectionery segment achieves the highest value of ***** U.S. dollars at 2030. Find further statistics on other topics such as a comparison of the volume in the world and a comparison of the average volume per capita in the world.The Statista Market Insights cover a broad range of additional markets.

Over the last two observations, the average revenue per capita is forecast to significantly increase in all segments. Especially notable is the remarkably robust growth observed in the Preserved Pastry Goods & Cakes segment as we approach the end of the forecast period. This value, reaching 6.6 U.S. dollars, stands out significantly compared to the average changes, which are estimated at 3.85 U.S. dollars. Find further statistics on other topics such as a comparison of the average volume per capita in the world and a comparison of the average volume per capita in France. The Statista Market Insights cover a broad range of additional markets.

The price per unit is forecast to experience significant growth in all segments in 2030. The trend observed from 2020 to 2030 remains consistent throughout the entire forecast period. There is a continuous increase in the price per unit across all segments. Notably, the Fish & Seafood segment achieves the highest value of 21.55 U.S. dollars at 2030. Find further statistics on other topics such as a comparison of the revenue in the United States and a comparison of the volume in Mexico. The Statista Market Insights cover a broad range of additional markets.

Over the last two observations, the combined price is forecast to significantly increase in all segments. As part of the positive trend, the combined price achieves the maximum value across all three different segments by the end of the comparison period. Notably, the segment Sparkling Wine stands out with the highest value of 15.97 U.S. dollars. Find other insights concerning similar markets and segments, such as a comparison of average revenue per user (ARPU) in Romania and a comparison of revenue in Poland. The Statista Market Insights cover a broad range of additional markets.

The average revenue per capita, at home is forecast to experience significant growth in all segments in 2029. Concerning the six selected segments, the segment Orange Juice has the largest average revenue per capita, at home with 34.89 U.S. dollars. Contrastingly, Pineapple Juice is ranked last, with 1.29 U.S. dollars. Their difference, compared to Orange Juice, lies at 33.6 U.S. dollars. Find further statistics on other topics such as a comparison of the revenue, combined in Germany and a comparison of the price,combined in Australia & Oceania. The Statista Market Insights cover a broad range of additional markets.

Over the forecast period until 2030, the price per unit is forecast to exhibit fluctuations among the three segments. In general, the price per unit appear to exhibit a positive trend, with more segments showing increasing values rather than decreasing values until 2030. Among them, the segment Cigars attains the highest value throughout the entire period, reaching 0.4 U.S. dollars. Find further statistics on other topics such as a comparison of the average volume per capita in Belarus and a comparison of the revenue in Italy. The Statista Market Insights cover a broad range of additional markets.

The price per unit in the food market in Guinea was forecast to continuously increase between 2025 and 2030 by in total 2.5 U.S. dollars (+42.37 percent). After the tenth consecutive increasing year, the price per unit is estimated to reach 8.36 U.S. dollars and therefore a new peak in 2030. Notably, the price per unit of the food market was continuously increasing over the past years.Find more key insights for the price per unit in countries and regions like the volume in the 'Meat' segment of the food market in Mexico and the average volume per capita in the 'Sweeteners' segment of the food market in European Union (EU27). The Statista Market Insights cover a broad range of additional markets.

Over the last two observations, the combined price is forecast to significantly increase in all segments. Particularly striking is the exceptionally strong increase of the segment Whisky towards the end of the forecast period. The value amounting to 0.7 euro stands out significantly from the average changes, which are estimated at 0.55 euro. Find other insights concerning similar markets and segments, such as a comparison of sales volume change worldwide and a comparison of average revenue per user (ARPU) in Finland. The Statista Market Insights cover a broad range of additional markets.

The price per unit is forecast to experience significant growth in all segments in 2029. The trend observed from 2019 to 2029 remains consistent throughout the entire forecast period. There is a continuous increase in the price per unit across all segments. Notably, the Suits for men segment achieves the highest value of 444.59 U.S. dollars at 2029. Find further statistics on other topics such as a comparison of the price per unit in the United States and a comparison of the average revenue per capita in Italy. The Statista Market Insights cover a broad range of additional markets.