Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on December of 2025.

Russia Stock Symbols & Company Metadata

This dataset contains stock symbols and basic company metadata for all listed companies in Russia.It is updated weekly if new changes are there.

  📊 Dataset Contents

The dataset is provided as a CSV file with the following columns:

Column Description

name Full company name

ticker Stock ticker symbol (e.g., AAPL, MSFT)

market The exchange/market where the stock is listed

sector The primary business sector of the… See the full description on the dataset page: https://huggingface.co/datasets/ThunderDrag/Russia-Stock-Symbols-and-Metadata.

Super Candles - 5 minute super candles, 50+ parameters. History since 2020 DESCRIPTION OF THE DATASET Class|Metrics|Des (all metrics are calculated over a period of 5 minutes) | --- | --- | --- | reference|secid|at the instrument reference|ts|date and time trades|pr_open|opening price trades|pr_high|maximum price for the period trades|pr_low|minimum price for the period trades|pr_close|last price for the period trades|pr_vwap|weighted average price trades|pr_change|price change over the period, % trades|trades|number of transactions trades|vol|volume in lots trades|val|volume in rubles trades|disb|ratio of purchases and sales trades|pr_std|standard deviation of price trades|pr_vwap_b|weighted average purchase price trades|pr_vwap_s|weighted average selling price trades|trades_b|number of purchase transactions trades|trades_s|number of transactions for sale trades|vol_b|volume of purchases in lots trades|vol_s|sales volume in lots trades|val_b|volume of purchases in rubles trades|false|sales volume in rubles orders|put_orders|number of placed orders per glass orders|cancel_orders|number of canceled applications orders|put_vol|volume of wafers placed in a glass orders|put_val|volume of wafers placed in a glass (rub) orders|cancel_vol|volume of withdrawn orders orders|cancel_val|volume of withdrawn orders (RUB) orders|put_orders_b|number of submitted orders (purchase) orders|put_orders_s|number of submitted orders (sale) orders|cancel_orders_b|number of canceled orders (purchase) orders|cancel_orders_s|number of canceled orders (sale) orders|put_vol_b|volume of wafers placed in a glass (purchase) orders|put_vol_s|volume of drinks placed in a glass (sale) orders|cancel_vol_b|volume of withdrawn orders (purchase) orders|cancel_vol_s|volume of withdrawn orders (sale) orders|put_val_b|volume of wafers placed in a glass (purchase, rub) orders|put_val_s|volume of wafers placed in a glass (sale, rubles) orders|cancel_val_b|volume of withdrawn orders (purchase, rub) orders|cancel_val_s|volume of withdrawn orders (sale, rub) orders|cancel_vwap_b|Weighted average price of canceled orders (purchase) orders|cancel_vwap_s|Weighted average price of canceled orders (sale) orders|put_vwap_b|Weighted average bid price (purchase) orders|put_vwap_s|Weighted average bid price (sale) orderbook|spread_bbo|spread between best bid and ask price orderbook|spread_lvl10|spread between the 10th level of bid and ask prices orderbook|spread_1mio|spread of 1 million rubles orderbook|levels_b|number of price levels in the order book (purchase) orderbook|levels_s|number of price levels in the order book (selling) orderbook|vol_b|total volume of orders in the order book at all levels (buy) orderbook|vol_s|total volume of orders in the order book at all levels (sale) orderbook|val_b|total volume of orders in the order book at all levels (buy), RUB orderbook|false|total volume of orders in the order book at all levels (sale), rub orderbook|imbalance_vol_bbo|volume imbalance at best prices orderbook|imbalance_val_bbo|volume imbalance (RUB) at the best prices orderbook|imbalance_vol|volume imbalance on the entire glass (all levels) orderbook|imbalance_val|volume imbalance (rub) on the entire glass (all levels) orderbook|vwap_b|weighted average purchase price in glass orderbook|vwap_s|weighted average selling price in glass orderbook|vwap_b_1mio|purchase price of an asset for 1 million rubles orderbook|vwap_s_1mio|asset sale price for 1 million rubles

The USD/RUB exchange rate fell to 77.1688 on December 2, 2025, down 0.72% from the previous session. Over the past month, the Russian Ruble has strengthened 4.39%, and is up by 26.50% over the last 12 months. Russian Ruble - values, historical data, forecasts and news - updated on December of 2025.

Techsalerator’s Business Funding Data for Russia

Techsalerator’s Business Funding Data for Russia offers a comprehensive and insightful collection of information crucial for businesses, investors, and financial analysts. This dataset provides a detailed examination of funding activities across various sectors in Russia, capturing and categorizing data related to funding rounds, investment sources, and financial milestones.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact.

Techsalerator’s Business Funding Data for Russia

Techsalerator’s Business Funding Data for Russia delivers an in-depth and insightful overview of essential information for businesses, investors, and financial analysts. This dataset provides a thorough examination of funding activities across diverse sectors in Russia, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

1. Company Name: Identifies the company receiving funding. This information helps investors spot potential opportunities and enables analysts to track funding trends within specific industries.

2. Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts offers insights into the financial health and growth potential of businesses and the scale of investment activities.

3. Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

4. Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

5. Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Russia

1. Technology and Innovation: Significant investments are being made in technology startups, including IT, fintech, and AI. These investments are essential for fostering innovation and driving digital transformation in Russia.

2. Energy and Resources: With Russia's rich natural resources, funding is directed towards energy projects, including oil, gas, and renewable energy sources, aiming to enhance energy efficiency and sustainability.

3. Healthcare and Biotechnology: Increased funding is flowing into healthcare infrastructure, biotechnology, and health tech to address the healthcare needs of the population and support medical research and innovation.

4. Agriculture and Food Technology: Funding is being allocated to modernize agricultural practices, enhance food security, and support agritech solutions that improve productivity and sustainability in the sector.

5. Education and Research: Investments are directed towards educational initiatives and research programs aimed at improving literacy rates, advancing scientific research, and fostering technological development.

Top 5 Companies with Notable Funding Data in Russia

1. Yandex: A major tech company providing a range of services including search engines, e-commerce, and digital advertising, Yandex has received substantial funding to enhance its technology and expand its offerings.

2. Sberbank: Russia’s largest bank, Sberbank, has secured significant investment to support its digital transformation, expand its financial services, and enhance its technological capabilities.

3. Mail.ru Group: A prominent internet company in Russia, Mail.ru Group has garnered notable funding to expand its digital services, including social networking and online gaming.

4. Tinkoff Bank: An innovative online bank, Tinkoff Bank has attracted substantial investment to support its growth, enhance its digital services, and strengthen its position in the Russian financial market.

5. Kaspersky Lab: A global cybersecurity company based in Russia, Kaspersky Lab has received significant funding to advance its cybersecurity solutions and support research and development in the field.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Russia, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Company Name
• Funding Amount
• Funding Round
• Investor Name
• Investment Date
• Funding Type (Equity, Debt, Grants, etc.)
• Sector Focus
• Deal Structure
• Investment Stage
• Contact Information

For detailed insights into funding activities and fi...

This study conducts a comparative analysis of how geopolitical risk (GPR) and innovation impact stock returns in the defense industry based on data from 75 defense companies across 17 countries and 4 continents. With daily datasets spanning from January 1, 2014 to March 29, 2024, wavelet coherence and wavelet phase differences were used to conduct the analysis. The results revealed that innovation had a greater and more pronounced impact during the entire analysis period compared with the influence of GPR events. GPRs exerted an uneven and heterogeneous impact on global defense stocks and had a concentrated impact during events that generated uncertainty. Overall, we found significant time-varying dependence across a large number of companies at different time frequencies. The COVID-19 pandemic did not have a major impact on companies in the defense industry. Further, GPR events led to increased volatility during the Russia–Ukraine war, leading to increased uncertainty. In addition to the dominant role they play in the world defense market, US companies served as a robust hedge, especially from 2021 to 2022. Defense companies in the UK are more sensitive to both GPR events and innovation, followed by companies in Germany and France. Comparative analysis of the scalograms of China reveals a greater influence of innovation compared with GPR events. Thus, diversification opportunities have been extended from the defense industry in China, offering investors a promising way to capitalize on refuge opportunities during periods of disruption. To mitigate the global rearmament trend, we suggest alternative investment opportunities for different time horizons.

Real estate ads in Russia are published on the websites avito.ru, realty.yandex.ru, cian.ru, sob.ru, youla.ru, n1.ru, moyareklama.ru. The ads-api.ru service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended them after some time. Also in the Russian market there are a lot of outbids (bad realtors) who steal ads and publish them on their own behalf. Before publishing this dataset, my task was to select the original ad from a bunch of ads. Russian real estate services allow ad authors to manually write data about an apartment or house. Therefore, it often happens that a user can publish an ad with errors or typos. Also, the user may not know, for example, the type of walls near his house. The user also specifies the address of the object being sold. He may make a mistake and simply indicate the address, for example, "Moscow". Which street? Which house? We will never know.

Dataset

The real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building. I found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there is a number of the region of Russia. For example, the number of the Chuvash region is 21. Additionally, there is a house number that is synchronized through the federal public database of the Federal Tax Service "FIAS". Since the data is obtained through a paid third party service, I cannot publish the results, however, I can anonymize them and publish parameters such as Street ID and House ID. Basically, all houses are built from blocks such as brick, wood, panel and others. I marked them with numbers: building type - 0 - Don't know. 1 - Other. 2 - panel. 3 - Monolithic. 4 - Brick. 5 - blocky. 6- Wooden

The number of rooms can also be as 1, 2 or more. However, there is a type of apartment that is called a studio apartment. I've labeled them "-1".

Ideas

I hope that the publication of this dataset will improve developments in the field of global real estate. You can create apartment price forecasts. You can analyze real estate markets. You can understand that there is a need to publish free real estate datasets. And much more

Others

The license for this dataset is public, you can use it in your scientific research, design work and other works. The only condition is the publication of a link to this dataset. You can send suggestions (or complaints) on the dataset by mail daniilakk@gmail.com

This is a comprehensive data sets of almost all the largest stock market indices of the world. I am confident that this data set would make a significant contribution in financial data analytics. These indices include: 1. S&P 500 (^GSPC) 2. Dow 30 (^DJI) 3. Nasdaq (^IXIC) 4. NYSE COMPOSITE DJ (^NYA) 5. NYSE AMEX COMPOSITE INDEX (^XAX) 6. Cboe UK 100 (^BUK100P) 7. Russell 2000 (^RUT) 8. CBOE Volatility Index (^VIX) 9. DAX PERFORMANCE-INDEX (^GDAXI) 10. CAC 40 (^FCHI) 11. ESTX 50 PR.EUR (^STOXX50E) 12. Euronext 100 Index (^N100) 13. BEL 20 (^BFX) 14. MOEX Russia Index (IMOEX.ME) 15. Nikkei 225 (^N225) 16. HANG SENG INDEX (^HSI) 17. SSE Composite Index (000001.SS) 18. Shenzhen Index (399001.SZ) 19. S&P/ASX 200 (^AXJO) 20. ALL ORDINARIES (^AORD) 21. S&P BSE SENSEX (^BSESN) 22. Jakarta Composite Index (^JKSE) 23. S&P/NZX 50 INDEX GROSS (^NZ50) 24. KOSPI Composite Index (^KS11) 25. TSEC weighted index (^TWII) 26. S&P/TSX Composite index (^GSPTSE) 27. IBOVESPA (^BVSP) 28. IPC MEXICO (^MXX) 29. S&P/CLX IPSA (^IPSA) 30. MERVAL (^MERV) 31. TA-125 (^TA125.TA) 32. EGX 30 Price Return Index (^CASE30) 33. Top 40 USD Net TRI Index (^JN0U.JO)

O índice principal da bolsa de valores da Rússia, o MOEX, subiu para 2521 pontos em 29 de outubro de 2025, ganhando 1,05% em relação à sessão anterior. No último mês, o índice caiu 6,08% e está 3,59% abaixo do mesmo período do ano passado, de acordo com a negociação em um contrato por diferença (CFD) que acompanha este índice de referência da Rússia. Valores atuais, dados históricos, previsões, estatísticas, gráficos e calendário econômico - Rússia - Mercado de ações.

Urals Oil fell to 54.22 USD/Bbl on December 1, 2025, down 0.37% from the previous day. Over the past month, Urals Oil's price has fallen 7.52%, and is down 17.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urals Crude.