52 datasets found
  1. Number of active clients on the stock market in Russia 2017-2022

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Number of active clients on the stock market in Russia 2017-2022 [Dataset]. https://www.statista.com/statistics/1278599/russia-active-clients-on-the-stock-market/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2017 - Dec 2022
    Area covered
    Russia
    Description

    The number of active clients on the stock market, or those who made at least one deal over the past month, in Russia reached around *** million in December 2022. Thus, the figure saw a decrease from the corresponding month of the previous year, when it exceeded *** million. Between December 2017 and December 2021, the number of active clients steadily increased.

  2. R

    Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: Investment Fund...

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units [Dataset]. https://www.ceicdata.com/en/russia/micex-stock-exchange-turnover-by-securities/turnover-micex-stock-exchange-ms-secondary-market-investment-fund-units
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Jan 1, 2019
    Area covered
    Russia
    Variables measured
    Turnover
    Description

    Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data was reported at 318,714,216.470 RUB in Jan 2019. This records a decrease from the previous number of 875,552,731.320 RUB for Dec 2018. Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data is updated monthly, averaging 567,067,177.750 RUB from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 6,905,224,094.500 RUB in Sep 2016 and a record low of 154,284,993.500 RUB in Mar 2017. Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Global Database’s Russian Federation – Table RU.ZB003: MICEX Stock Exchange: Turnover: by Securities.

  3. Fin. multiples of Russian companies (MOEX)

    • kaggle.com
    zip
    Updated Feb 5, 2022
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    Redeugene (2022). Fin. multiples of Russian companies (MOEX) [Dataset]. https://www.kaggle.com/redeugene/rus-stocks-funds
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    zip(25178 bytes)Available download formats
    Dataset updated
    Feb 5, 2022
    Authors
    Redeugene
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    Russia
    Description

    This dataset is a segment of the financial market, which is represented by multiples of Russian companies traded on the Moscow Stock Exchange. Multiples are collected and calculated based on the financial statements of companies for the period from 2014 to 2021 (it is also possible to split into quartiles in the last 2 years). Stocks are obtained by averaging its price for the period under review. This may be useful for fundamental analysis of the Russian stock market. One of the goals of this study is to build a model to predict the change in the price of a stock based on changes in the company's multiples. I would be interested to see your ideas for solving this problem.

  4. R

    Russia No of Trades: MICEX Stock Exchange: MS: Secondary Market: Investment...

    • ceicdata.com
    Updated Feb 3, 2018
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    CEICdata.com (2018). Russia No of Trades: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units [Dataset]. https://www.ceicdata.com/en/russia/micex-stock-exchange-no-of-trades-by-securities/no-of-trades-micex-stock-exchange-ms-secondary-market-investment-fund-units
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    Dataset updated
    Feb 3, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Jan 1, 2019
    Area covered
    Russia
    Variables measured
    Number of Trades
    Description

    Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data was reported at 6,721.000 Unit in Jan 2019. This records an increase from the previous number of 6,603.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data is updated monthly, averaging 648.000 Unit from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 6,721.000 Unit in Jan 2019 and a record low of 147.000 Unit in Feb 2017. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Investment Fund Units data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Global Database’s Russian Federation – Table RU.ZB001: MICEX Stock Exchange: No of Trades: by Securities.

  5. ALGOPACK Extra Market Data

    • kaggle.com
    zip
    Updated Jan 2, 2024
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    Oleg Shpagin (2024). ALGOPACK Extra Market Data [Dataset]. https://www.kaggle.com/datasets/olegshpagin/algopack-extra-market-data/data
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    zip(3141573633 bytes)Available download formats
    Dataset updated
    Jan 2, 2024
    Authors
    Oleg Shpagin
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    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

  6. Investment deals in VC market in Russia 2022, by funding stage & type of...

    • statista.com
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    Statista, Investment deals in VC market in Russia 2022, by funding stage & type of investor [Dataset]. https://www.statista.com/statistics/1199646/russia-number-of-vc-deals-in-startups-by-funding-stage/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    During the first half of 2022, business angels most actively investing in the startups at a seed stage in Russia. Moreover, the number of VC deals at a seed stage was the largest if compared to other funding stages. Investments at the early stage were usually raised from private funds.

  7. h

    Investments_shares_stock_exchange_dataset

    • huggingface.co
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    Scoutie.ru - a service for collecting and labeling data for machine learning, Investments_shares_stock_exchange_dataset [Dataset]. https://huggingface.co/datasets/ScoutieAutoML/Investments_shares_stock_exchange_dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset authored and provided by
    Scoutie.ru - a service for collecting and labeling data for machine learning
    Description

    Description in English:

    Dataset collected from 30 Russian-language Telegram channels on the topic of Investments, shares, this dataset contains information about shares, securities, bonds, their value, as well as news about investments and stock exchange analysis The dataset was collected and marked automatically using the Scoutie data collection and marking service.Try Scoutie and collect the same or another dataset using the link.

      Dataset fields:
    

    taskId - task… See the full description on the dataset page: https://huggingface.co/datasets/ScoutieAutoML/Investments_shares_stock_exchange_dataset.

  8. Largest investment deals in Russia H1 2022, by value

    • statista.com
    Updated Feb 18, 2021
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    Statista (2021). Largest investment deals in Russia H1 2022, by value [Dataset]. https://www.statista.com/statistics/1199681/russia-major-vc-deals-by-value/
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    Dataset updated
    Feb 18, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    In the first half of 2022, with the value of ** million U.S. dollars, investment in the online hypermarket Vseinstrumenti.ru by Russian Direct Investment Fund (RDIF) and Elbrus Capital was the largest deal in the Russian venture capital market. Investment in the data labeling platform Heartex followed, acoounting for ** million U.S. dollars of deals worth.

  9. R

    Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Non...

    • ceicdata.com
    Updated Dec 13, 2019
    + more versions
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    CEICdata.com (2019). Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Non Residents: Investment Fund Units [Dataset]. https://www.ceicdata.com/en/russia/micex-stock-exchange-turnover-buy-and-sell-deals-for-non-residents/turnover-micex-stock-exchange-ms-buy--sell-deals-for-non-residents-investment-fund-units
    Explore at:
    Dataset updated
    Dec 13, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Jan 1, 2019
    Area covered
    Russia
    Variables measured
    Turnover
    Description

    Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Non Residents: Investment Fund Units data was reported at 107,300.000 RUB in Jan 2019. This records a decrease from the previous number of 1,802,953.200 RUB for Dec 2018. Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Non Residents: Investment Fund Units data is updated monthly, averaging 107,356,291.250 RUB from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 2,137,080,477.500 RUB in Jan 2017 and a record low of 107,300.000 RUB in Jan 2019. Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Non Residents: Investment Fund Units data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Russia Premium Database’s Financial Market – Table RU.ZB006: MICEX Stock Exchange: Turnover: Buy and Sell: Deals for Non Residents.

  10. Venture capital investment in Russia 2022, by funding stage and investor

    • statista.com
    Updated Dec 21, 2023
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    R. Hirschmann (2023). Venture capital investment in Russia 2022, by funding stage and investor [Dataset]. https://www.statista.com/topics/7574/startups-in-russia/
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    Dataset updated
    Dec 21, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    R. Hirschmann
    Area covered
    Russia
    Description

    Even though VC deals volume was the largest at the seed stage, the investment value was reported the highest for the maturity phase over the given period. Namely, startups at that stage of development gathered approximately 50 million U.S. dollars from state funds and corporations in the first half of 2022.

    Russian venture capital market
    Investments in the venture capital market of Russia are primarily of domestic origin. Although local startups also present themselves as rather attractive for foreign investors. Companies with operations in the IT sector have been consistently receiving the largest share of investments. However, in recent years, biotechnology and medicine fields experienced growing funding flows - decreasing thus, the financing gap between the industries. During the first half of 2020, a total worth of venture capital investments in Russia amounted to approximately 240 million U.S. dollars, being equivalent to nearly 60 percent of total investments value raised the year before.

    Venture capital market outlook in Europe
    The value of venture capital investments in Europe has been fluctuating throughout 2021, reaching over 31 billion U.S. dollars in the last quarter of the year. Companies from the United Kingdom attracted the highest investment value that year measuring at nearly 35 billion euros. This was more than double the amount raised by German startups, which listed second in the European ranking. Unicorns from Europe operated primarily in the finance, insurance, and transportation sectors.

  11. Results of textual processing using a neural network and machine learning...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova (2023). Results of textual processing using a neural network and machine learning techniques. [Dataset]. http://doi.org/10.1371/journal.pone.0276924.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Results of textual processing using a neural network and machine learning techniques.

  12. R

    Russia Turnover: Money Market: Direct REPO with the Bank of Russia: Stocks...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Turnover: Money Market: Direct REPO with the Bank of Russia: Stocks and DRs [Dataset]. https://www.ceicdata.com/en/russia/moscow-exchange-all-markets-turnover/turnover-money-market-direct-repo-with-the-bank-of-russia-stocks-and-drs
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2016 - Nov 1, 2017
    Area covered
    Russia
    Variables measured
    Turnover
    Description

    Turnover: Money Market: Direct REPO with the Bank of Russia: Stocks and DRs data was reported at 0.000 RUB bn in Nov 2017. This stayed constant from the previous number of 0.000 RUB bn for Oct 2017. Turnover: Money Market: Direct REPO with the Bank of Russia: Stocks and DRs data is updated monthly, averaging 0.000 RUB bn from Aug 2015 (Median) to Nov 2017, with 28 observations. The data reached an all-time high of 494.200 RUB bn in Jan 2016 and a record low of 0.000 RUB bn in Nov 2017. Turnover: Money Market: Direct REPO with the Bank of Russia: Stocks and DRs data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Global Database’s Russian Federation – Table RU.ZA007: Moscow Exchange: All Markets: Turnover.

  13. Stock Comments (Twits) - Tinkoff Pulse

    • kaggle.com
    zip
    Updated Oct 26, 2024
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    Alexander Nikitin (2024). Stock Comments (Twits) - Tinkoff Pulse [Dataset]. https://www.kaggle.com/datasets/ilovebeer228/stock-comments-twits-tinkoff-pulse
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    zip(255828852 bytes)Available download formats
    Dataset updated
    Oct 26, 2024
    Authors
    Alexander Nikitin
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Hello there!

    This is my data, which I've used for my bachelor diploma research in 2024 at HSE University. I have parsed all comments (or you can call them stock twits) from T-pulse threads from 01 JAN 2019 (launch of the platform) to 30 MARCH 2024. A total of 10 tickers were taken: SBER, GAZP, YNDX, TCSG, SGZH, PIKK, RTKM, MVID, KMAZ, BANE. During the chosen period, there were changes in the CCP of the Bank of Russia, the introduction of sanctions by Western countries against the Russian Federation.

    Language: Russian (mostly) and English

    Columns - inserted - date of posting of a comment (or post); - likesCount - amount of likes under comment (or post); - commentsCount - amount of comments under comment (or post); - text - raw text of a parsed comment (you should probably clean it from emoji etc); - reactions_counters - list of dicts with type and amount of reactions under comment. There are emoji-like reactions like "rocket", "like", "dislike", "not-convinced", "buy-up".

    Additionally I have added df_labelled_llm.csv dataset with labelled posts. Around 1000 from each ticker mentioned above, so total is around 10K posts. Labelling was done 90% with LLM and 10% manually for slang posts. You can use this as a starting point of your research.

    Areas of application - Sentiment analysis of stock twits; - Fine-tuning BERT-based models; - Testing algotrading strategies based on sentiment analysis; - Research.

    This data was gathered for educational purposes only. No exact names, phone numbers or addresses of the authors of posts/comments were included into the dataset.

  14. m

    The underpricing of initial public offerings of Russian companies

    • data.mendeley.com
    Updated Apr 21, 2025
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    Daria Melnova (2025). The underpricing of initial public offerings of Russian companies [Dataset]. http://doi.org/10.17632/ydf46hwjyy.2
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    Dataset updated
    Apr 21, 2025
    Authors
    Daria Melnova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Russia
    Description

    The paper examines the underpricing of initial public offerings of ordinary shares of Russian companies. It is based on the data of 102 IPOs of Russian issuers for 2002-2024. The econometric study using multiple regression models has shown that factors such as the sale of own shares by initial shareholders, high-tech nature of the company's activities, the period of a “hot” market, and the deviation of the actual share placement price from the expected one, increase the underpricing of the IPO. At the same time, it was found that the amount of capital raised, the prestige of the investment bank-underwriter and the auditor have a significant negative effect on IPO underpricing. The results of the study may be useful to investors when making decisions about investing in IPOs, to regulators when developing regulations, and to issuing companies when forming an IPO strategy.

  15. Key filters for portfolio designs.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova (2023). Key filters for portfolio designs. [Dataset]. http://doi.org/10.1371/journal.pone.0276924.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Key filters for portfolio designs.

  16. The performance of the nine portfolios over a short period (1 month).

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova (2023). The performance of the nine portfolios over a short period (1 month). [Dataset]. http://doi.org/10.1371/journal.pone.0276924.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The performance of the nine portfolios over a short period (1 month).

  17. The descriptive statistics on our sample.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    + more versions
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    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova (2023). The descriptive statistics on our sample. [Dataset]. http://doi.org/10.1371/journal.pone.0276924.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tamara Teplova; Aleksandr Tomtosov; Tatiana Sokolova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The descriptive statistics on our sample.

  18. Average value of VC investments in Russia 2022, by category

    • statista.com
    Updated Sep 26, 2025
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    Statista (2025). Average value of VC investments in Russia 2022, by category [Dataset]. https://www.statista.com/statistics/1198467/russia-vc-investments-value-by-category/
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    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The highest average value of venture capital (VC) investments in Russian startups in the first half of 2022 was coming from abroad, with approximately *** million U.S. dollars per deal. State funds an corporations followed, with investments averaging at nearly *** million U.S. dollars.

  19. R

    Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Residents:...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Residents: Legal Entities: Investment Fund Units [Dataset]. https://www.ceicdata.com/en/russia/micex-stock-exchange-turnover-buy-and-sell-deals-for-residents/turnover-micex-stock-exchange-ms-buy--sell-deals-for-residents-legal-entities-investment-fund-units
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2018 - Jan 1, 2019
    Area covered
    Russia
    Description

    Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Residents: Legal Entities: Investment Fund Units data was reported at 217,150,838.940 RUB in Jan 2019. This records a decrease from the previous number of 760,795,267.190 RUB for Dec 2018. Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Residents: Legal Entities: Investment Fund Units data is updated monthly, averaging 672,815,533.500 RUB from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 10,931,631,805.000 RUB in Dec 2015 and a record low of 19,320,506.800 RUB in Sep 2018. Russia Turnover: MICEX Stock Exchange: MS: Buy & Sell: Deals for Residents: Legal Entities: Investment Fund Units data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Russia Premium Database’s Financial Market – Table RU.ZB005: MICEX Stock Exchange: Turnover: Buy and Sell: Deals for Residents.

  20. 33 World-Wide Stock Market Indices Data

    • kaggle.com
    Updated Nov 8, 2022
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    mukhazar ahmad (2022). 33 World-Wide Stock Market Indices Data [Dataset]. https://www.kaggle.com/datasets/mukhazarahmad/worldwide-stock-market-indices-data/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 8, 2022
    Dataset provided by
    Kaggle
    Authors
    mukhazar ahmad
    Area covered
    World
    Description

    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)

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Statista (2025). Number of active clients on the stock market in Russia 2017-2022 [Dataset]. https://www.statista.com/statistics/1278599/russia-active-clients-on-the-stock-market/
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Number of active clients on the stock market in Russia 2017-2022

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Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 2017 - Dec 2022
Area covered
Russia
Description

The number of active clients on the stock market, or those who made at least one deal over the past month, in Russia reached around *** million in December 2022. Thus, the figure saw a decrease from the corresponding month of the previous year, when it exceeded *** million. Between December 2017 and December 2021, the number of active clients steadily increased.

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