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The Gross Domestic Product (GDP) in India expanded 2 percent in the first quarter of 2025 over the previous quarter. This dataset provides - India GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Full Year GDP Growth in India decreased to 6.50 percent in 2025 from 9.20 percent in 2024. This dataset includes a chart with historical data for India Full Year GDP Growth.
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The Gross Domestic Product (GDP) in India was worth 3912.69 billion US dollars in 2024, according to official data from the World Bank. The GDP value of India represents 3.69 percent of the world economy. This dataset provides the latest reported value for - India GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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The Gross Domestic Product per capita in India was last recorded at 2396.71 US dollars in 2024. The GDP per Capita in India is equivalent to 19 percent of the world's average. This dataset provides - India GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The Gross Domestic Product per capita in India was last recorded at 9817.07 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in India, when adjusted by Purchasing Power Parity is equivalent to 55 percent of the world's average. This dataset provides - India GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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According to Cognitive Market Research, the global Potassium hexafluorophosphate CAS 17084 13 8 market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.00% from 2024 to 2031. North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031. Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million. Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.0% from 2024 to 2031. Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031. Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.7% from 2024 to 2031. Powder held the highest Potassium hexafluorophosphate CAS 17084 13 8 market revenue share in 2024. Market Dynamics of Potassium hexafluorophosphate CAS 17084 13 8 Market Key Drivers for Potassium hexafluorophosphate CAS 17084 13 8 Market Growth of Electric Vehicle to Increase the Demand Globally The increasing popularity of electric vehicles raises the need for cutting-edge battery technologies. Certain next-generation batteries include potassium hexafluorophosphate in their electrolyte compositions. For example, India is the third-largest vehicle market in the world in terms of sales, ahead of Germany and Japan, according to figures released by Invest India. There is currently a drive for manufacturers and legislators to work together to change consumer preferences in favor of greener products. With the automobile industry contributing significantly to employment and 7.1 percent of India's GDP, it is a major engine of the country's economy. According to the Economic Survey 2023, the domestic electric vehicle industry in India is expected to develop at a compound annual growth rate (CAGR) of 49% between 2022 and 2030, with 10 million units sold annually by that time. Source: https://www.investindia.gov.in/team-india-blogs/indias-ev-economy-future-automotive-transportation. Increasing Renewable Energy Sector to Propel Market Growth Advanced batteries that use potassium hexafluorophosphate are among the energy storage options that are needed to keep up with the growing amount of renewable energy sources like wind and solar power. For example, the world's ability to produce renewable energy is increasing more quickly than it has in the previous three decades, which means there is a good likelihood that the capacity will triple globally by 2030. According to Renewables 2023, the most recent edition of the IEA's annual market report on the sector, the amount of renewable energy capacity added to energy systems worldwide increased by 50% in 2023, reaching nearly 510 gigawatts (GW), with solar PV accounting for three-quarters of additions worldwide. Thus, the growing renewable energy sector drives the market growth during the projected period. Source: https://www.iea.org/news/massive-expansion-of-renewable-power-opens-door-to-achieving-global-tripling-goal-set-at-cop28. Restraint Factor for the Potassium hexafluorophosphate CAS 17084 13 8 Market High Cost and Regulatory & Safety Concerns to Limit the Sales Potassium hexafluorophosphate must be produced using certain procedures and raw ingredients, which can lead to expensive manufacturing costs. These expenses can prevent it from being adopted in some areas or applications. Furthermore, potassium hexafluorophosphate is a chemical that may be hazardous to the environment and poisonous. Its market may be impacted by legal restrictions and safety requirements, especially about handling, storing, and shipping. Impact of Covid-19 on the Potassium hexafluorophosphate CAS 17084 13 8 Market The COVID-19 pandemic has affected the potassium hexafluorophosphate (CAS 17084-13-8) market in a number of ways. The pandemic affected supply chains, demand, and general market dynamics, posing both possibilities and challenges. The pandemic seriously disrupted international supply chains, which had an impact on raw material availability and potassium hexafluorop...
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India recorded a Government Debt to GDP of 81.59 percent of the country's Gross Domestic Product in 2023. This dataset provides - India Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The Gross Domestic Product (GDP) in China expanded 5.20 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Inflation Rate in India decreased to 2.10 percent in June from 2.82 percent in May of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Government Spending in India increased to 5084.19 INR Billion in the first quarter of 2025 from 3773.74 INR Billion in the fourth quarter of 2024. This dataset provides - India Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Industrial Production in India increased 1.50 percent in June of 2025 over the same month in the previous year. This dataset provides - India Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Unemployment Rate in India remained unchanged at 5.60 percent in June. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The benchmark interest rate in India was last recorded at 5.50 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Consumer Spending in India decreased to 27200.39 INR Billion in the first quarter of 2025 from 28433.68 INR Billion in the fourth quarter of 2024. This dataset provides - India Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Gross Domestic Product (GDP) in India expanded 2 percent in the first quarter of 2025 over the previous quarter. This dataset provides - India GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.