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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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Graph and download economic data for Cotton Stocks at Mills for United States (M05005USM596NNBR) from Sep 1912 to Jan 1956 about cotton, mills, inventories, and USA.
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Cotton rose to 66.17 USd/Lbs on August 12, 2025, up 1.32% from the previous day. Over the past month, Cotton's price has fallen 0.23%, and is down 1.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cotton - values, historical data, forecasts and news - updated on August of 2025.
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Graph and download economic data for Cotton Stocks in Public Storage and at Compresses for United States (M05004USM596NNBR) from Sep 1912 to Jan 1956 about cotton, public, stocks, and USA.
This statistic shows the global cotton stocks-to-use ratio from 1990 to 2019. In 2017, the cotton stocks-to-use ratio worldwide stood at 66 percent. The global production of cotton amounted to some 114.73 million 480-pound bales in that year.
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Norway Exports of cotton waste (including yarn waste and garnetted stock) to Bermuda was US$139 during 2024, according to the United Nations COMTRADE database on international trade. Norway Exports of cotton waste (including yarn waste and garnetted stock) to Bermuda - data, historical chart and statistics - was last updated on August of 2025.
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The Cotton Market Report is Segmented by Geography (North America, Europe, Asia-Pacific, South America, Middle East, and Africa). The Report Includes Production Analysis (Volume), Consumption Analysis (Value and Volume), Export Analysis (Value and Volume), Import Analysis (Value and Volume), and Price Trend Analysis. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Metric Tons).
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Italy Exports of cotton waste (including yarn waste and garnetted stock) to Latvia was US$509 during 2017, according to the United Nations COMTRADE database on international trade. Italy Exports of cotton waste (including yarn waste and garnetted stock) to Latvia - data, historical chart and statistics - was last updated on July of 2025.
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After stagnating during the pandemic, the textile industry has begun to strongly recover and the demand for cotton has risen. It is expected that cotton consumption in 2021 will grow faster than the supply. This will lead to a reduction in global cotton stocks and higher prices. The issues of sustainability and ethical background become increasingly important in the transformation of cotton supply chains.
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United States Long Term Projections: Upland Cotton: Stocks-To-Use Ratio data was reported at 27.942 % in 2034. This records an increase from the previous number of 27.061 % for 2033. United States Long Term Projections: Upland Cotton: Stocks-To-Use Ratio data is updated yearly, averaging 28.100 % from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 30.415 % in 2026 and a record low of 22.640 % in 2023. United States Long Term Projections: Upland Cotton: Stocks-To-Use Ratio data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI012: Agricultural Projections: Upland Cotton.
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Explore the recent gains in cotton futures amid external market pressures and understand the factors driving this bullish trend.
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Sweden Imports of cotton waste (including yarn waste and garnetted stock) from Canada was US$376 during 2023, according to the United Nations COMTRADE database on international trade. Sweden Imports of cotton waste (including yarn waste and garnetted stock) from Canada - data, historical chart and statistics - was last updated on July of 2025.
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Lithuania Exports of cotton waste (including yarn waste and garnetted stock) to Russia was US$138.77 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Lithuania Exports of cotton waste (including yarn waste and garnetted stock) to Russia - data, historical chart and statistics - was last updated on August of 2025.
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Norway Exports of cotton waste (including yarn waste and garnetted stock) to United States was US$742 during 2024, according to the United Nations COMTRADE database on international trade. Norway Exports of cotton waste (including yarn waste and garnetted stock) to United States - data, historical chart and statistics - was last updated on August of 2025.
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United States Exports of cotton waste (including yarn waste and garnetted stock) to Dominican Republic was US$62.59 Thousand during 2024, according to the United Nations COMTRADE database on international trade.
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Sweden Imports of cotton waste (including yarn waste and garnetted stock) from Mauritius was US$52.87 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Sweden Imports of cotton waste (including yarn waste and garnetted stock) from Mauritius - data, historical chart and statistics - was last updated on July of 2025.
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United Kingdom Exports of cotton waste (including yarn waste and garnetted stock) to Slovakia was US$83 during 2020, according to the United Nations COMTRADE database on international trade. United Kingdom Exports of cotton waste (including yarn waste and garnetted stock) to Slovakia - data, historical chart and statistics - was last updated on July of 2025.
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Uruguay Imports of cotton waste (including yarn waste and garnetted stock) from Mexico was US$1.71 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Uruguay Imports of cotton waste (including yarn waste and garnetted stock) from Mexico - data, historical chart and statistics - was last updated on July of 2025.
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Liberia Imports of cotton waste (including yarn waste and garnetted stock) from Turkey was US$222 during 2020, according to the United Nations COMTRADE database on international trade. Liberia Imports of cotton waste (including yarn waste and garnetted stock) from Turkey - data, historical chart and statistics - was last updated on July of 2025.
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Brazil Imports of cotton waste (including yarn waste and garnetted stock) from El Salvador was US$57.27 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Brazil Imports of cotton waste (including yarn waste and garnetted stock) from El Salvador - data, historical chart and statistics - was last updated on July of 2025.
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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