Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

As of the second quarter of 2019, the price for *** Gigabyte amounted to approximately *** U.S. dollars, a decrease of approximately *** U.S. dollars compared to 2017. Compared to its neighboring countries like Singapore and Malaysia, the data price in Indonesia was the lowest.

Affordable price versus broadband infrastructure
As smartphone users tend to communicate through mobile apps such as Whatsapp or Messenger more than via text message or phone call, the affordability of mobile internet is crucial. Good broadband infrastructure and economic growth in the country determine whether the internet providers can fulfill the demand while maintaining affordable prices. In late 2019 Indonesia’s government completed the Palapa Ring Project, an infrastructure project that aimed to provide access to ** internet services across the country. With this, Indonesia’s digital economy is expected to grow faster.

PT Telkomsel, the largest mobile internet provider

Other than communication related apps, shopping and social media apps had the highest reach levels among Indonesian smartphone users. On average, a smartphone user in Indonesia spent about **** minutes per day for communication. In 2018, PT Telkom Indonesia Group had a share of **** percent of the fixed broadband market in Indonesia. Besides being the largest telecommunications and network provider in Indonesia, Telkomsel is also the most popular mobile internet provider to browse the internet, followed by Indosat and XL.

Price prediction data for Measurable Data on 2025-07-16

View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

Our extensive historical database captures every significant market movement, from the earliest Bitcoin trades through today's crypto ecosystem, across 350+ global exchanges.

This rich historical dataset serves multiple critical functions: from enabling sophisticated strategy backtesting and long-term trend analysis to supporting academic research and trading pattern identification. Whether analyzing market volatility, studying price correlations, or conducting deep market research, our historical data provides the reliable foundation needed for meaningful cryptocurrency market analysis.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for cryptocurrency market data needs.

Price prediction data for Data Ownership Protocol on 2025-08-10

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 214 companies listed on the Panama Stock Exchange (XPTY) in Panama. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Panama:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Panama:

Panamanian Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Panamanian Stock Exchange (Bolsa de Valores de Panamá). This index provides an overview of the overall market performance in Panama.

Panamanian Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Panamanian Stock Exchange. This index reflects the performance of international companies operating in Panama.

Company A: A prominent Panamanian company with diversified operations across various sectors, such as shipping, logistics, or finance. This company's stock is widely traded on the Panamanian Stock Exchange.

Company B: A leading financial institution in Panama, offering banking, insurance, or investment services. This company's stock is actively traded on the Panamanian Stock Exchange.

Company C: A major player in the Panamanian energy or real estate sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Panamanian Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Panama, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Panama ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Panama?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Panama exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direc...

United States Median Home Sale Price: sa: Single Family: Charleston, SC data was reported at 326.000 USD th in Jul 2020. This records an increase from the previous number of 298.000 USD th for Jun 2020. United States Median Home Sale Price: sa: Single Family: Charleston, SC data is updated monthly, averaging 256.500 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 326.000 USD th in Jul 2020 and a record low of 191.000 USD th in Feb 2012. United States Median Home Sale Price: sa: Single Family: Charleston, SC data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB057: Median Home Sale Price: by Metropolitan Areas: Seasonally Adjusted.

China Imports Price Index: Commodity data was reported at 1.949 Index, 2015 in 2025. This records an increase from the previous number of 1.941 Index, 2015 for 2024. China Imports Price Index: Commodity data is updated yearly, averaging 1.041 Index, 2015 from Dec 1988 (Median) to 2025, with 38 observations. The data reached an all-time high of 2.007 Index, 2015 in 2022 and a record low of 0.258 Index, 2015 in 1988. China Imports Price Index: Commodity data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.EO: Exports and Imports Price Index: Forecast: Non OECD Member: Annual. PMNW - Price of commodity importsIndex, OECD reference year OECD calculation, see OECD Economic Outlook database documentation

Kalimati Tarkari Dataset Price of Fruits and Vegetables scrapped from the website of Kalimati Fruits and Vegetable Market Development Board https://kalimatimarket.gov.np/

Polypropylene fell to 7,066 CNY/T on July 11, 2025, down 0.42% from the previous day. Over the past month, Polypropylene's price has risen 0.57%, but it is still 8.28% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Polypropylene.

China Retail Price: 36 City Avg: Brown Sugar: Bag data was reported at 7.580 RMB/Bag in Mar 2025. This records an increase from the previous number of 7.570 RMB/Bag for Feb 2025. China Retail Price: 36 City Avg: Brown Sugar: Bag data is updated monthly, averaging 7.320 RMB/Bag from Dec 2013 (Median) to Mar 2025, with 136 observations. The data reached an all-time high of 7.580 RMB/Bag in Mar 2025 and a record low of 6.630 RMB/Bag in May 2014. China Retail Price: 36 City Avg: Brown Sugar: Bag data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Retail Price: Food.

United States Listings w/ Price Drops: Single Units Only data was reported at 13.409 % in Jul 2020. This records an increase from the previous number of 12.889 % for Jun 2020. United States Listings w/ Price Drops: Single Units Only data is updated monthly, averaging 11.286 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 21.070 % in Sep 2019 and a record low of 4.452 % in Dec 2012. United States Listings w/ Price Drops: Single Units Only data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB039: Listings with Price Drops.

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

United States Listings w/ Price Drops: sa: Single Family: Coshocton, OH data was reported at 19.347 % in Jul 2020. This records an increase from the previous number of 15.974 % for Jun 2020. United States Listings w/ Price Drops: sa: Single Family: Coshocton, OH data is updated monthly, averaging 15.144 % from Nov 2013 (Median) to Jul 2020, with 81 observations. The data reached an all-time high of 27.299 % in May 2020 and a record low of 2.253 % in Nov 2013. United States Listings w/ Price Drops: sa: Single Family: Coshocton, OH data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB042: Listings with Price Drops: by Metropolitan Areas: Seasonally Adjusted.

Description

This dataset, titled "Cryptocurrency Market Sentiment & Prediction," is a synthetic collection of real-time crypto market data designed for advanced analysis and predictive modeling. It captures a comprehensive range of features including price movements, social sentiment, news impact, and trading patterns for 10 major cryptocurrencies. Tailored for data scientists and analysts, this dataset is ideal for exploring market volatility, sentiment analysis, and price prediction, particularly in the context of significant events like the Bitcoin halving in 2024 and increasing institutional adoption.

Key Features Overview: - Price Movements: Tracks current prices and 24-hour price change percentages to reflect market dynamics. - Social Sentiment: Measures sentiment scores from social media platforms, ranging from -1 (negative) to 1 (positive), to gauge public perception. - News Sentiment and Impact: Evaluates sentiment from news sources and quantifies their potential impact on market behavior. - Trading Patterns: Includes data on 24-hour trading volumes and market capitalization, crucial for understanding market activity. - Technical Indicators: Features metrics like the Relative Strength Index (RSI), volatility index, and fear/greed index for in-depth technical analysis. - Prediction Confidence: Provides a confidence score for predictive models, aiding in assessing forecast reliability.

Purpose and Applications: - Perfect for machine learning tasks such as price prediction, sentiment-price correlation studies, and volatility classification. - Supports time series analysis for forecasting price movements and identifying volatility clusters. - Valuable for research into the influence of social media and news on cryptocurrency markets, especially during high-impact events.

Dataset Scope: - Covers a simulated 30-day period, offering a snapshot of market behavior under varying conditions. - Focuses on major cryptocurrencies including Bitcoin, Ethereum, Cardano, Solana, and others, ensuring relevance to current market trends.

Dataset Structure Table:

Dataset Statistics Table:

This dataset is a powerful resource for machine learning projects, sentiment analysis, and crypto market research, providing a robust foundation for AI/ML model development and testing.

HRC Steel fell to 876.95 USD/T on July 11, 2025, down 0.57% from the previous day. Over the past month, HRC Steel's price has risen 1.73%, and is up 31.87% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for HRC Steel.

Price prediction data for Juris Protocol on 2025-08-05

Comprehensive aluminum futures price dataset from LME exchange including real-time contract pricing, daily settlement changes, and percentage fluctuations for aluminum futures trading with detailed market analysis and trend indicators

Price prediction data for DeepBook on 2025-07-21