India's main stock market index, the SENSEX, fell to 80888 points on July 31, 2025, losing 0.73% from the previous session. Over the past month, the index has declined 3.36% and is down 1.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

The S&P BSE Sensex index, one of India's two main stock indices, lost almost *********** of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in *************.The S&P BSE Sensex index includes 30 companies listed on the Bombay Stock Exchange which are representative of various industrial sectors of the Indian economy. It is considered one of the main Indicators of the Indian stock market, along with the CNX Nifty Index (which includes shares from India's other main stock exchange, the National Stock Exchange).

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.

Up to 40 percent of the people from Chile who participated in a survey conducted by IPSOS said it was likely that major stock markets around the world would crash in 2022. This is the highest share among all the Latin American countries surveyed in October and November of 2021. Respondents in Brazil came in second, with 38 percent. Peruvians were the least pessimistic, with 45 percent of respondents answering this possibility was unlikely. Nevertheless, in the same study, most Latin American respondents said 2022 would be a better year than 2021.

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.

BSE Sensex 30 Index Target Price Forecast

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

Spain: Stock market value traded, percent of GDP: The latest value from 2022 is 25.58 percent, a decline from 27.56 percent in 2021. In comparison, the world average is 34.95 percent, based on data from 74 countries. Historically, the average for Spain from 1975 to 2022 is 50.56 percent. The minimum value, 0.38 percent, was reached in 1980 while the maximum of 264.65 percent was recorded in 2000.

Argentina: Stock market capitalization as percent of GDP: The latest value from 2022 is 8.37 percent, a decline from 8.58 percent in 2021. In comparison, the world average is 74.88 percent, based on data from 75 countries. Historically, the average for Argentina from 1977 to 2022 is 10.66 percent. The minimum value, 1 percent, was reached in 1984 while the maximum of 27.43 percent was recorded in 2003.

Stock Market Analysis of Twitter Inc from it's Founding / Listing Years which is 2013 to 2022.

Data Dictionary

About Twitter Inc.( TWTR)

Twitter is a microblogging and social networking service owned by American company Twitter, Inc., on which users post and interact with messages known as "tweets". Registered users can post, like, and retweet tweets, while unregistered users only have a limited ability to read public tweets. Users interact with Twitter through browser or mobile frontend software, or programmatically via its APIs. Prior to April 2020, services were accessible via SMS. Tweets were originally restricted to 140 characters, but the limit was doubled to 280 for non-CJK languages in November 2017. Audio and video tweets remain limited to 140 seconds for most accounts.

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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.

BSE Sensex 30 Index assigned short-term B1 & long-term Ba1 forecasted stock rating.

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 for 2022 based on 75 countries was 74.88 percent. The highest value was in Hong Kong: 1273.23 percent and the lowest value was in Armenia: 1.29 percent. The indicator is available from 1975 to 2024. Below is a chart for all countries where data are available.

Nilai saat ini, data historis, perkiraan, statistik, grafik dan kalender ekonomi - India - Pasar Saham. 1979-2022 Data | 2023-2024 Perkiraan.

In Global Metro Rolling Stock Market, Amtrak has been exploring market options for modernising its fleet since June 2018. It wants to replace coach cars, trainsets and self-propelled units which can provide its customers a comfortable riding experience, with improved ride quality and reliability. Metro Rolling stock has major role in any developing and developed economy, be it for light rail transit, freight movement or inter-city transportation.

The average for 2022 based on 7 countries was 40.79 percent. The highest value was in the USA: 172.14 percent and the lowest value was in Costa Rica: 0.06 percent. The indicator is available from 1975 to 2022. Below is a chart for all countries where data are available.

The statistic shows the compound annual growth rate of the global rolling stock market from 2018 to 2022, by region. The rolling stock market in Western Europe is projected to grow with a compound annual growth rate of *** percent from 2018 to 2022.

Stock Market Analysis of Amazon.com, Inc. (AMZN) from it's Founding / Listing Years which is 1997 to 2022

Data Dictionary

About Amazon.com, Inc. (AMZN)

Amazon.com, Inc. is an American multinational technology company which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It has been referred to as "one of the most influential economic and cultural forces in the world", and is one of the world's most valuable brands. It is one of the Big Five American information technology companies, alongside Alphabet, Apple, Meta, and Microsoft.

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CN: Index: Beijing Stock Exchange: BSE 50 data was reported at 1,331.132 29Apr2022=1000 in Apr 2025. This records an increase from the previous number of 1,271.138 29Apr2022=1000 for Mar 2025. CN: Index: Beijing Stock Exchange: BSE 50 data is updated monthly, averaging 958.692 29Apr2022=1000 from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 1,331.132 29Apr2022=1000 in Apr 2025 and a record low of 654.388 29Apr2022=1000 in Aug 2024. CN: Index: Beijing Stock Exchange: BSE 50 data remains active status in CEIC and is reported by Beijing Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Beijing Stock Exchange: Indices.

Key information about India P/E ratio

• India SENSEX recorded a daily P/E ratio of 21.540 on 26 Mar 2025, compared with 21.740 from the previous day.
• India SENSEX P/E ratio is updated daily, with historical data available from Dec 1988 to Mar 2025.
• The P/E ratio reached an all-time high of 36.210 in Feb 2021 and a record low of 15.670 in Mar 2020.
• BSE Limited provides daily P/E Ratio.

Russia's main stock market index, the MOEX, rose to 2731 points on July 31, 2025, gaining 0.18% from the previous session. Over the past month, the index has declined 4.12% and is down 6.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Stock market return (%, year-on-year) in India was reported at 21.5 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.