Context

Gold is a highly liquid asset, which is no one’s liability, carries no credit risk, and is scarce, historically preserving its value over time. It also benefits from diverse sources of demand: as an investment, a reserve asset, jewellery, and a technology component. Since 1971, gold’s return has been similar to equities and outperformed bonds. In the last 20 years, gold outperformed most major asset classes and it’s global investment demand increased by an average of 15% per year. Through its dual nature as a consumer good and investment, gold has historically preserved its value. Unlike fiat currencies, gold can’t be printed, only mined — this explains in good part why it has consistently outperformed all major fiat currencies.

Content

1. Date: The date of the trading day.
2. Open: The opening price of the gold share on that day.
3. High: The highest price the gold share reached during the trading day.
4. Low: The lowest price the gold share reached during the trading day.
5. Close: The closing price of the gold share on that day.
6. WAP: Weighted Average Price, which is the average price at which all trades of the stock or asset were executed during the trading day.
   WAP = (Total Cost of Purchases / Total Quantity Purchased)
7. No. of Shares: The total number of shares traded on that day.
8. No. of Trades: The total number of trades executed on that day.
9. Total Turnover: The total value of all trades executed on that day.
10. Deliverable Quantity: The total number of shares that were actually delivered to buyers on that day.
11. % Deli. Qty to Traded Qty: The percentage of the total traded quantity of shares that were actually delivered to buyers on that day.
12. Spread H-L: The difference between the highest and lowest prices of the gold share on that day.
13. Spread C-O: The difference between the closing and opening prices of the gold share on that day.

These rates are the daily secondary market quotation on the most recently auctioned Treasury Bills for each maturity tranche (4-week, 13-week, 26-week, and 52-week) that Treasury currently issues new Bills. Market quotations are obtained at approximately 3:30 PM each business day by the Federal Reserve Bank of New York. The Bank Discount rate is the rate at which a Bill is quoted in the secondary market and is based on the par value, amount of the discount and a 360-day year. The Coupon Equivalent, also called the Bond Equivalent, or the Investment Yield, is the bill's yield based on the purchase price, discount, and a 365- or 366-day year. The Coupon Equivalent can be used to compare the yield on a discount bill to the yield on a nominal coupon bond that pays semiannual interest.

Silver Price - Historical chart and current data through 2025.

View values of the average interest rate at which Treasury bills with a 3-month maturity are sold on the secondary market.

Amazon (AMZN) Stock Price Time-Series Dataset: May 2012 - November 2012

Dataset Overview

This dataset provides a detailed, intraday view of Amazon's stock (AMZN) price movements from May 21, 2012, to November 14, 2012. Meticulously compiled, it offers a granular perspective on market dynamics, enabling robust quantitative analysis and modeling.

Content

The dataset encompasses the following key financial metrics for each trading day:

• Date: The specific date of the trading session.
• Open: The initial price at the commencement of trading.
• High: The maximum price attained during the trading day.
• Low: The minimum price recorded during the trading day.
• Close: The final trading price at the market's close.
• Adj Close: The closing price adjusted for corporate actions like dividends and stock splits, providing a true return on investment.
• Volume: The number of shares exchanged throughout the trading day, indicating market activity and liquidity.

Intended Use Cases

This dataset is tailored for sophisticated financial analysis, model development, and academic research. Potential applications include:

• Algorithmic Trading Strategy Development: Design and back-test trading algorithms using historical price movements and volume data.
• Volatility Modeling: Analyze and forecast stock price volatility using time-series analysis techniques (e.g., GARCH models).
• Financial Forecasting: Implement machine learning models to predict future stock prices based on historical patterns.
• Event Study Analysis: Examine the impact of specific events or news announcements on Amazon's stock price.
• Risk Management: Evaluate potential risks associated with investing in Amazon stock during this period.
• Academic Research: Conduct studies on market efficiency, price discovery, and the impact of market microstructure on stock behavior.

Data Considerations

• Time Zone: Data is timestamped with Eastern Time (ET).
• Data Cleaning: The dataset has been verified for accuracy, but users are encouraged to perform their own data quality checks.

Contect info:

You can contect me for more data sets if you want any type of data to scrape

-E_mail

-Linkdin

-Kaggle

-X

-Github

Content

Historical daily prices of gold and silver since 1962 to now. Price per ounce in USD.

Acknowledgements

Data obtained from LBMA

Inspiration

You try different things on this dataset:

• predict the future price of gold and silver
• study the correlation between gold and silver
• combine with other datasets such as stocks and crypto currencies datasets to get insightsLBMA

Graph and download economic data for Interest Rates: 3-Month or 90-Day Rates and Yields: Interbank Rates: Total for Euro Area (19 Countries) (IR3TIB01EZM156N) from Jan 1994 to Sep 2025 about interbank, Euro Area, 3-month, Europe, yield, interest rate, interest, and rate.

The Demand Deposit Rate table provides daily rates for demand deposit securities. The Demand Deposit rate covers all Demand Deposit securities issued, regardless of the redemption date.

Adult day health care services in the U.S. cost a national median of 100 U.S. dollars per day in 2024. This is an increase of * percent from ** U.S. dollars in 2023. Long-term health care can be provided in various environments. Adult day health care (ADC) provides social support in a community setting through socialization, supervision, and structured activities. Personal care, transportation, meals, and other related services may also be provided.

This table contains 44 series, with data for years 1950 - 2017 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Type of currency (44 items: United States dollar, noon spot rate; United States dollar, 90-day forward noon rate; Belgian franc, noon spot rate; Danish krone, noon spot rate; ...).

The dataset shows Year-wise and Daily Weighted Average of Call Money Rates

The Time Deposit Rate table provides daily rates for time deposit securities based on security life.

CN: Spot Exchange Rate: CFETC: Avg: EURO data was reported at 8.002 EUR/RMB in 13 May 2025. This records a decrease from the previous number of 8.107 EUR/RMB for 12 May 2025. CN: Spot Exchange Rate: CFETC: Avg: EURO data is updated daily, averaging 7.779 EUR/RMB from Apr 2002 (Median) to 13 May 2025, with 5647 observations. The data reached an all-time high of 9.645 EUR/RMB in 28 Apr 2011 and a record low of 6.485 EUR/RMB in 16 Mar 2015. CN: Spot Exchange Rate: CFETC: Avg: EURO data remains active status in CEIC and is reported by China Foreign Exchange Trading Center. The data is categorized under High Frequency Database’s Foreign Exchange Rates – Table CN.MD: Exchange Rate: Daily.

Day-to-day rates for euro area countries - annual data

Graph and download economic data for ECB Main Refinancing Operations Rate: Fixed Rate Tenders for Euro Area (ECBMRRFR) from 1999-01-01 to 2025-12-02 about operating, liquidity, Euro Area, fixed, Europe, and rate.

This dataset contains detailed daily price information for Bitcoin (BTC) and Ethereum (ETH) against USD, covering the period from 2014 to 2024. It includes key financial metrics such as Open, High, Low, Close prices, Volume, and Adjusted Close values for both cryptocurrencies. This dataset is ideal for cryptocurrency enthusiasts, financial analysts, and data scientists looking to explore trends, analyze market movements, and develop predictive models for Bitcoin’s and Ethereum’s performance over the last decade.

The data provides insights into Bitcoin and Ethereum’s price fluctuations, from Bitcoin’s early adoption phase to Ethereum's rise as a dominant platform for decentralized applications and smart contracts. Whether you're interested in historical patterns, volatility analysis, or future price predictions, this comprehensive dataset serves as a valuable resource for your cryptocurrency research and analysis.

Dataset Information

This dataset includes daily price data for various currencies.

  Instruments Included

AEDUSD: United Arab Emirates Dirham to US Dollar AFNUSD: Afghan Afghani to US Dollar ALLUSD: Albanian Lek to US Dollar AMDUSD: Armenian Dram to US Dollar ANGUSD: Netherlands Antillean Guilder to US Dollar AOAUSD: Angolan Kwanza to US Dollar ARSUSD: Argentine Peso to US Dollar AUDUSD: Australian Dollar to US Dollar AWGUSD: Aruban Florin to US Dollar AZNUSD: Azerbaijani… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Forex-Daily-Price.

Available since 28/11/1984, this data set shows administered rates until March, 1990 and free rates from then on (Resolution 1690/1990). Administered rates are those set by the Central Bank of Brazil; in March, 1992, this rate started being called Ptax rate (close). Until 30/6/2011, this rate was calculated as the average rate, weighed by volume, of all interbank operations traded on that day. Starting on 1/7/2011 (Circular 3506/2010), the Ptax rate calculation corresponds to the arithmetic average of four daily quotes provided by Central Bank of Brazil’s foreign exchange dealers; the quotes must reflect market conditions at that time. 0fef7ab0-10d0-441f-963b-65e3fc1a5238 american-dollar-bid-and-offer-daily-rates

Graph and download economic data for Federal Funds Effective Rate (RIFSPFFNB) from 1954-07-01 to 2025-11-06 about funds, federal, interest rate, interest, rate, and USA.

As a result of the coronavirus (COVID-19) pandemic the hotel industry has taken a hit in 2020. In May 2020, the average daily rate (ADR) of hotels in Europe was ***** U.S. dollars. Daily hotel prices were lowest in the Asia Pacific region during the same month.

Hotel rate changes worldwide

In each region, corporate average daily hotel rates are forecast to increase by 2020. Asia’s rates are predicted to be higher than the global average, increasing by about ***** percent. Latin America should see a smaller rise of about *** percent, due to the more modest growth in demand within this region. However, these rates were forecast prior to the coronavirus (COVID-19) pandemic therefore will be subject to change.

Hotel occupancy rate

Average daily rates in the hotel industry tend to change throughout the year as they are closely linked to hotel occupancy rates. Specific regions are visited more frequently during certain times of year. For instance, hotel rooms in the Americas were rented more frequently during the summer months, compared to the colder winter months in 2019.