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.

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 Turnover: MICEX Stock Exchange: Main Sector (MS): Buy & Sell: Deals for Non Residents data was reported at 2,405,781,114,561.550 RUB in Jan 2019. This records a decrease from the previous number of 2,550,495,591,922.550 RUB for Dec 2018. Russia Turnover: MICEX Stock Exchange: Main Sector (MS): Buy & Sell: Deals for Non Residents data is updated monthly, averaging 5,408,663,910,000.000 RUB from Dec 2011 (Median) to Jan 2019, with 86 observations. The data reached an all-time high of 8,885,688,222,913.020 RUB in Jun 2017 and a record low of 2,405,781,114,561.550 RUB in Jan 2019. Russia Turnover: MICEX Stock Exchange: Main Sector (MS): Buy & Sell: Deals for Non Residents 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.

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.

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.