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.

The data as simple as a TimeSeries could be: - Data is structured by Japanese candles method - Filename stands for ticker of an asset - Timeperiod for most of assets is between 2021 and 2024

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.

انخفض مؤشر سوق الأسهم الرئيسي في روسيا، moex، إلى 2524 نقطة في 31 أكتوبر 2025، بانخفاض قدره 1.31٪ عن الجلسة السابقة. خلال الشهر الماضي، انخفض المؤشر بنسبة 4.66٪ وهو منخفض بنسبة 1.97٪ مقارنة بنفس الوقت من العام الماضي، وفقًا للتداول على عقد الفروقات (cfd) الذي يتتبع هذا المؤشر الأساسي من روسيا.

Russia Turnover: MICEX Stock Exchange: Main Sector (MS) data was reported at 69,974,429,170,939.102 RUB in Nov 2025. This records a decrease from the previous number of 81,363,857,685,134.703 RUB for Oct 2025. Russia Turnover: MICEX Stock Exchange: Main Sector (MS) data is updated monthly, averaging 15,453,752,297,640.400 RUB from Dec 2011 (Median) to Nov 2025, with 168 observations. The data reached an all-time high of 81,363,857,685,134.703 RUB in Oct 2025 and a record low of 5,740,722,570,000.000 RUB in Jan 2012. Russia Turnover: MICEX Stock Exchange: Main Sector (MS) data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Global Database’s Russian Federation – Table RU.ZB: MICEX Stock Exchange: Turnover: by Securities.

Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: ETF (Exchange Traded Funds) data was reported at 65,983.000 Unit in Jan 2019. This records a decrease from the previous number of 76,878.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: ETF (Exchange Traded Funds) data is updated monthly, averaging 8,948.500 Unit from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 76,878.000 Unit in Dec 2018 and a record low of 2,165.000 Unit in Nov 2015. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: ETF (Exchange Traded Funds) 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.

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

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.

Russia Number of Trades: MICEX Stock Exchange: Main Sector (MS) data was reported at 114,174,256.000 Unit in Apr 2025. This records an increase from the previous number of 105,740,225.000 Unit for Mar 2025. Russia Number of Trades: MICEX Stock Exchange: Main Sector (MS) data is updated monthly, averaging 10,667,614.000 Unit from Dec 2011 (Median) to Apr 2025, with 161 observations. The data reached an all-time high of 115,097,571.000 Unit in Feb 2025 and a record low of 5,827,314.000 Unit in Dec 2012. Russia Number of Trades: MICEX Stock Exchange: Main Sector (MS) 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.

Research database of Russian female stock market investors who started their activities from 2006 to 2019. The main characteristics of modern women investors in the Russian stock market are given: age, education, marital status, place of residence, profession, monthly income per family member, attitude to the Russian privatization of the 90s, investment strategies of women investors.

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.

Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Clearing Certificates of Participation data was reported at 7,301.000 Unit in Jan 2019. This records a decrease from the previous number of 8,947.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Clearing Certificates of Participation data is updated monthly, averaging 2,514.000 Unit from Feb 2016 (Median) to Jan 2019, with 36 observations. The data reached an all-time high of 12,356.000 Unit in Sep 2018 and a record low of 24.000 Unit in Feb 2016. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Clearing Certificates of Participation 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.

Comprehensive dataset containing 76 verified Stock exchange building businesses in Russia with complete contact information, ratings, reviews, and location data.

Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Shares data was reported at 8,713,838.000 Unit in Jan 2019. This records an increase from the previous number of 8,568,703.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Shares data is updated monthly, averaging 8,891,183.500 Unit from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 14,136,551.000 Unit in Apr 2018 and a record low of 7,395,091.000 Unit in May 2016. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Shares 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.

Foreign Exchange Reserves in Russia increased to 725841 USD Million in October from 713301 USD Million in September of 2025. This dataset provides - Russia Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Russia Number of Trades: MICEX Stock Exchange: MS: Primary Market: Shares data was reported at 0.000 Unit in Jan 2019. This stayed constant from the previous number of 0.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Primary Market: Shares data is updated monthly, averaging 0.000 Unit from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 2,235.000 Unit in Nov 2016 and a record low of 0.000 Unit in Jan 2019. Russia Number of Trades: MICEX Stock Exchange: MS: Primary Market: Shares 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.

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

Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Mortgage Certificates data was reported at 0.000 Unit in Jan 2019. This records a decrease from the previous number of 6.000 Unit for Dec 2018. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Mortgage Certificates data is updated monthly, averaging 86.000 Unit from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 1,482.000 Unit in Nov 2017 and a record low of 0.000 Unit in Jan 2019. Russia Number of Trades: MICEX Stock Exchange: MS: Secondary Market: Mortgage Certificates 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.

The descriptive statistics on our sample.

{"The file dataset.xlsx contains structured financial time series data prepared for an event study analysis (ESA) examining market reactions to the onset of the Russia–Ukraine war. The dataset encompasses observations from a diversified selection of asset classes, including: (i) safe-haven assets (gold, silver, platinum, Bitcoin), (ii) energy commodities (Brent crude oil, WTI crude oil, natural gas, coal, EU Emissions Trading System (ETS) allowances), (iii) energy equities (68 stocks from the S&P 1500 classified under the Energy sector), (iv) the S&P 500 index, and (v) energy-related cryptocurrencies (Electrify.Asia, Energy Web Token, Grid+, Power Ledger, SunContract, Efforce, and WePower). For abnormal return estimation, each asset group is matched with an appropriate benchmark index in accordance with ESA methodology: the Dow Jones Precious Metals Index (for gold, silver, and platinum), the CMC Crypto 200 Index (for Bitcoin and energy-related cryptocurrencies), the S&P GSCI Index (for energy commodities), the S&P 500 Index (for energy equities), and the MSCI All Country World Index (ACWI) for the general market. Event date is set to February 24, 2022, marking the outbreak of the full-scale military invasion of Ukraine by the Russian Federation. The estimation window comprises 252 daily price observations ending on December 31, 2021 (inclusive). The event window extends from t = –30 to t = +30 relative to the event date. The dataset is formatted to facilitate empirical testing of market efficiency, price sensitivity to geopolitical shocks, and asset class-specific abnormal return dynamics."}