Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on December of 2025.

Brent fell to 63.05 USD/Bbl on December 2, 2025, down 0.19% from the previous day. Over the past month, Brent's price has fallen 2.84%, and is down 14.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on December of 2025.

Crude oil trading charts are graphical representations of the price movements of crude oil over a specific period of time, providing valuable information for traders and investors. Learn how different types of charts, such as line charts, bar charts, and candlestick charts, are used to identify patterns and make informed trading decisions. Discover how technical indicators enhance analysis, and where to access customizable real-time charts. Explore the power of crude oil trading charts in analyzing market t

Palm Oil rose to 4,134 MYR/T on December 2, 2025, up 1.00% from the previous day. Over the past month, Palm Oil's price has risen 0.46%, but it is still 18.56% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on December of 2025.

The primary data used in the paper are the published weekly price of Ron97 (CompareHero.my, 2020; Malaysia, 2021; The Ministry of Domestic Trade and Consumer Affairs, 2020) , daily crude oil price in barrels (WTI, BRENT and OPEC) (EIA, 2020; OPEC, 2020) and daily foreign exchange rate (Selling rate) of the Ringgit per US dollars (Bank Negara, 2020). The data is pre-processed to clean the data and standardize the data for the modelling process. The crude oil price and foreign exchange rates are converted to weekly averages. Daily missing data are replaced with weekly averages. The foreign exchange rates, (G) in Ringgits per US dollar(RM/USD) (Bank Negara, 2020), is multiplied with the international crude oil price (X) to convert ringgits per barrel( RM/bbl), (I), using Equation(2). The crude oil price are converted to ringgit per litre using the Barrel to Litre Metric Conversion (M)(Ltd, 2020), as shown in Equation(3).

Morocco Average Import Price: Energy Products: Crude Oil data was reported at 5,812.000 MAD/Ton th in 2014. This records a decrease from the previous number of 6,353.000 MAD/Ton th for 2013. Morocco Average Import Price: Energy Products: Crude Oil data is updated yearly, averaging 3,489.500 MAD/Ton th from Dec 1997 (Median) to 2014, with 18 observations. The data reached an all-time high of 6,635.000 MAD/Ton th in 2012 and a record low of 901.000 MAD/Ton th in 1998. Morocco Average Import Price: Energy Products: Crude Oil data remains active status in CEIC and is reported by Foreign Exchange Office. The data is categorized under Global Database’s Morocco – Table MA.P001: Average Import Price.

Azerbaijan Effective Foreign Exchange Rate Index: Nominal: Non Oil Sector data was reported at 176.179 Dec2000=100 in Mar 2025. This records a decrease from the previous number of 180.840 Dec2000=100 for Feb 2025. Azerbaijan Effective Foreign Exchange Rate Index: Nominal: Non Oil Sector data is updated monthly, averaging 119.447 Dec2000=100 from Jan 2005 (Median) to Mar 2025, with 243 observations. The data reached an all-time high of 184.577 Dec2000=100 in Jan 2025 and a record low of 91.300 Dec2000=100 in Mar 2005. Azerbaijan Effective Foreign Exchange Rate Index: Nominal: Non Oil Sector data remains active status in CEIC and is reported by Central Bank of the Republic of Azerbaijan. The data is categorized under Global Database’s Azerbaijan – Table AZ.M006: Effective Foreign Exchange Rate Index: Dec2000=100.

Context

These datasets can be used in predicting the Bitcoin price movement with respect to the Gold, Oil, and the Stock market. There are separate datasets for Oil, Bitcoin, and Gold, if one wants to work on a particular thing at a time.

Content

• bitcoin_raw: The historic trade data of Bitcoin
• gold_df: Historic data of Gold price movement
• oil_price_raw: Contains the historic Oil price movements
• raw_v2_dataset: Close prices of Bitcoin, Gold, Oil, SP500 along with the VIX and other features
• vix_current: VIX historic values

Acknowledgements

• The base dataset is from Kaggle : https://www.kaggle.com/wojtekbonicki/bitcoin-data
• Bitcoin historic raw data is from Coindesk portal
• Oil historic raw data has been acquired from Yahoo Finance
• VIX close dataset is from CBOE
• Gold historic data is from World Gold Council (GoldHub)

Inspiration

The paper one may take inspiration from : Rama Malladi et al. (2019), "Predicting Bitcoin Return And Volatility Using Gold And The Stock Market"

Our MarketPsych offerings provide a comprehensive overview: MarketPsych transforms meanings and sentiments into machine-readable values and signals, encompassing all major nations, commodities, currencies, cryptocurrencies, equity sectors, and both public and private firms. The data is extracted from an extensive range of news and social media content using a meticulously developed language framework. This framework assesses emotions (such as optimism, confusion, urgency), financial terminology (like price forecasts), and topics (including interest rates, mergers). We have collaborated on three related products: MarketPsych Analytics, StarMine MarketPsych Media Sentiment Model, and MarketPsych ESG Analytics. MarketPsych sentiment indicators are utilized by us and our clients for various purposes, including the development and enhancement of trading strategies, volatility prediction, risk management, event tracking, macroeconomic nowcasting, and earnings call advisory.

Introduction

Explore the archive of relevant economic information: relevant news on all indicators with explanations, data on past publications on the economy of the United States, Britain, Japan and other developed countries, volatility assessments and much more. For the construction of their forecast models, the use of in-depth training is optimal, with a learning model built on the basis of EU and Forex data. The economic calendar is an indispensable assistant for the trader.

ON THIS TOPIC Telegram : @Economic Calendar Investing Forex https://t.me/economic_calendar_forex_invest This channel will wake you up 5 minutes before important events of high volatility, as well as inform you of current data for monitoring from the investing economic calendar

Data set

The data set is created in the form of an CSV, Excel spreadsheet (two files 2011-2013, 2014-2019), which can be found at boot time. You can see the source of the data on the site https://www.investing.com/economic-calendar/

http://comparic.com/wp-content/uploads/2016/12/Economic_Calendar_-_Investing.com_-_2016-12-19_02.45.10.jpg" alt="http://comparic.com/wp-content/uploads/2016/12/Economic_Calendar_-_Investing.com_-_2016-12-19_02.45.10.jpg">

1. column - Event date
2. column - Event time (time New York)
3. column - Country of the event
4. column - The degree of volatility (possible fluctuations in currency, indices, etc.) caused by this event
5. column - Description of the event
6. column - Evaluation of the event according to the actual data, which came out better than the forecast, worse or correspond to it
7. column - Data format (%, K x103, M x106, T x109)
8. column - Actual event data
9. column - Event forecast data
10. column - Previous data on this event (with comments if there were any interim changes).

Inspiration

1. Use the historical EU in conjunction with the Forex data (exchange rates, indices, metals, oil, stocks) to forecast subsequent Forex data in order to minimize investment risks (combine fundamental market analysis and technical).
2. Historical events of the EU used as a forecast of the subsequent (for example, the calculation of the probability of an increase in the rate of the Fed).
3. Investigate the impact of combinations of EC events on the degree of market volatility at different time periods.
4. To trace the main trends in the economies of the leading countries (for example, a decrease in the demand for unemployment benefits).
5. Use the EU calendar together with the news background archive for this time interval for a more accurate forecast.

Exploring Bitcoin, Gold, Oil, S&P 500.

cover image credit: https://www.pexels.com/photo/bitcoins-and-u-s-dollar-bills-730547/

Nigerian Oilgas Forex Earnings

  Dataset Description

This dataset is part of the Nigerian Oil & Gas Sector collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.

Rows: 27 Columns: 5 Period: 1999-2025 (where applicable) License: MIT

  Data Quality

1999-2014: ⭐⭐⭐⭐⭐ Based on official NEITI data 2015-2025: ⭐⭐⭐⭐ Validated synthetic (OPEC/NNPC sources)

  Schema

Column Type Sample

year int64 1999… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_oilgas_forex_earnings.

This dataset offers a comprehensive view of Bitcoin's daily market behavior, reflecting its journey from a niche digital asset to a globally recognized financial instrument. It captures core financial indicators such as opening and closing prices, daily highs and lows, trading volume, and market capitalization.

What’s Included:

• Open / High / Low / Close prices in USD
• Volume traded per day (in BTC)
• Market Capitalization (in USD)

Each entry represents a full trading day, providing a clear snapshot of Bitcoin’s price action and market dynamics at that point in time.

Why This Dataset Matters

• Full Lifecycle Coverage Track Bitcoin’s market evolution across bull runs, crashes, consolidations, and growth phases.

• Ready for Analysis Perfectly structured for technical analysis, financial modeling, and price forecasting using machine learning or statistical tools.

• Volatility & Risk Insight Understand Bitcoin's high-risk, high-reward nature by calculating return distributions, drawdowns, volatility clusters, and more.

• Macro & Cross-Asset Research Can be combined with traditional financial market data (e.g., equities, gold, oil, forex) to explore correlation, hedging, and diversification strategies.

Who Should Use This?

• Data Scientists: Build time-series models, anomaly detection systems, or predictive engines.
• Quantitative Analysts: Backtest strategies using historical market data.
• Traders & Investors: Explore patterns, support/resistance levels, and key indicators.
• Educators & Students: Use as a real-world case study for finance, machine learning, or economics courses.
• Crypto Researchers: Analyze sentiment trends, market structure, or crypto cycles.

Licensing & Usage

• License: CC BY-NC-SA 4.0 – free for academic and non-commercial use with attribution.

As of 2021, the net international reserves from Angola declined to some *** billion U.S. dollars, down from *** billion U.S. dollars in the previous year. The value registered in 2021 was the lowest since 2012. Decreases in oil prices and a falling domestic production led to the deterioration of the Angolan international reserves.

Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Acc: Year to Date: ow Current Account data was reported at 38.600 USD bn in Dec 2016. This records an increase from the previous number of 23.000 USD bn for Sep 2016. Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Acc: Year to Date: ow Current Account data is updated quarterly, averaging 16.821 USD bn from Jun 2002 (Median) to Dec 2016, with 59 observations. The data reached an all-time high of 65.500 USD bn in Dec 2013 and a record low of 1.051 USD bn in Mar 2003. Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Acc: Year to Date: ow Current Account data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Foreign Trade – Table RU.JAA019: Exports: Petroleum Products.

Egypt PF: Others: 1 to 3 Months: Oil Sector Foreign Currency Sales to CBE data was reported at 0.000 USD mn in Jan 2025. This stayed constant from the previous number of 0.000 USD mn for Dec 2024. Egypt PF: Others: 1 to 3 Months: Oil Sector Foreign Currency Sales to CBE data is updated monthly, averaging 0.000 USD mn from Jul 2010 (Median) to Jan 2025, with 175 observations. The data reached an all-time high of 50.000 USD mn in Sep 2015 and a record low of 0.000 USD mn in Jan 2025. Egypt PF: Others: 1 to 3 Months: Oil Sector Foreign Currency Sales to CBE data remains active status in CEIC and is reported by Central Bank of Egypt. The data is categorized under Global Database’s Egypt – Table EG.KA011: Predetermined Short-term Net Flows Affecting the Official Reserves.

CRB Index rose to 378.33 Index Points on December 1, 2025, up 0.45% from the previous day. Over the past month, CRB Index's price has fallen 0.80%, but it is still 10.95% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

Gasoline fell to 1.86 USD/Gal on December 2, 2025, down 0.53% from the previous day. Over the past month, Gasoline's price has fallen 2.79%, and is down 4.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on December of 2025.

Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Accounts: Year to Date data was reported at 33.700 USD bn in Dec 2016. This records an increase from the previous number of 23.500 USD bn for Sep 2016. Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Accounts: Year to Date data is updated quarterly, averaging 22.600 USD bn from Jun 2002 (Median) to Dec 2016, with 59 observations. The data reached an all-time high of 87.900 USD bn in Dec 2013 and a record low of 1.972 USD bn in Mar 2004. Russia Exports: Petroleum Pdts: Foreign Currency Receipt: Transit Bank Accounts: Year to Date data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Foreign Trade – Table RU.JAA019: Exports: Petroleum Products.