The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name.
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Detailed information about the Organisation SVW-11.
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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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License information was derived automatically
Seven Group Holdings stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Seven Group Holdings reported 37.58 in PE Price to Earnings for its fiscal semester ending in June of 2024. Data for Seven Group Holdings | SVW - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last June in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan data was reported at 17,672.000 Unit in Mar 2025. This records an increase from the previous number of 12,974.000 Unit for Feb 2025. China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan data is updated monthly, averaging 17,672.000 Unit from Jan 2015 (Median) to Mar 2025, with 123 observations. The data reached an all-time high of 33,460.000 Unit in Jul 2018 and a record low of 0.000 Unit in Feb 2020. China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan data remains active status in CEIC and is reported by China Association of Automobile Manufacturers. The data is categorized under China Premium Database’s Automobile Sector – Table CN.RAA: Automobile Production: Passenger Car: SUV by Brand Models.
300 Videos in the Wild (300-VW) is a dataset for evaluating facial landmark tracking algorithms in the wild. The dataset authors collected a large number of long facial videos recorded in the wild. Each video has duration of ~1 minute (at 25-30 fps). All frames have been annotated with regards to the same mark-up (i.e. set of facial landmarks) used in the 300 W competition as well (a total of 68 landmarks). The dataset includes 114 videos (circa 1 min each).
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Explore the historical Whois records related to svw.cc (Domain). Get insights into ownership history and changes over time.
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AI-powered price forecasts for SVW.AX stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Seven Group Holdings reported AUD1.99B in Stock for its fiscal semester ending in June of 2024. Data for Seven Group Holdings | SVW - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Seven Group Holdings reported AUD1.1B in EBITDA for its fiscal semester ending in June of 2024. Data for Seven Group Holdings | SVW - Ebitda including historical, tables and charts were last updated by Trading Economics this last June in 2025.
The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data was reported at 0.000 Unit in Dec 2018. This stayed constant from the previous number of 0.000 Unit for Nov 2018. China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data is updated monthly, averaging 17.000 Unit from Jan 2015 (Median) to Dec 2018, with 48 observations. The data reached an all-time high of 2,015.000 Unit in Mar 2015 and a record low of 0.000 Unit in Dec 2018. China Automobile: Production: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data remains active status in CEIC and is reported by China Association of Automobile Manufacturers. The data is categorized under China Premium Database’s Automobile Sector – Table CN.RAA: Automobile Production: Passenger Car: SUV by Brand Models.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Seven Group Holdings - 当前值,历史数据,预测,统计,图表和经济日历 - Jul 2025.Data for Seven Group Holdings including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Automobile: Sales: YoY: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data was reported at -100.000 % in Dec 2019. This stayed constant from the previous number of -100.000 % for Jan 2019. China Automobile: Sales: YoY: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data is updated monthly, averaging -76.802 % from Jan 2015 (Median) to Dec 2019, with 45 observations. The data reached an all-time high of 148.660 % in Sep 2016 and a record low of -100.000 % in Dec 2019. China Automobile: Sales: YoY: PC: SUV: by Brand: SVW: VW Tiguan: 4WD 2.0 data remains active status in CEIC and is reported by China Association of Automobile Manufacturers. The data is categorized under China Premium Database’s Automobile Sector – Table CN.RAB: Automobile Sales: Year on Year Change: Passenger Car: SUV by Brand Models.
Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Seven Group Holdings reported AUD1.24 in EPS Earnings Per Share for its fiscal semester ending in December of 2024. Data for Seven Group Holdings | SVW - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.
The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name.