Russia's main stock market index, the MOEX, fell to 2642 points on July 11, 2025, losing 3.31% from the previous session. Over the past month, the index has declined 3.94% and is down 11.21% 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 July of 2025.

Key information about Russia RTS

• Russia RTS closed at 1,142.4 points in Feb 2025, compared with 949.5 points at the previous month end
• Russia Equity Market Index: Month End: RTS data is updated monthly, available from Sep 1995 to Feb 2025, with an average number of 1,055.6 points
• The data reached an all-time high of 2,459.9 points in May 2008 and a record low of 43.8 points in Sep 1998

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What is MOEX Russia Index stock prediction?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Russia Turnover: MICEX Stock Exchange: Main Sector (MS) data was reported at 74,243,836,149,145.797 RUB in Apr 2025. This records a decrease from the previous number of 77,829,212,958,898.500 RUB for Mar 2025. Russia Turnover: MICEX Stock Exchange: Main Sector (MS) data is updated monthly, averaging 21,835,560,017,953.398 RUB from Dec 2011 (Median) to Apr 2025, with 161 observations. The data reached an all-time high of 77,829,212,958,898.500 RUB in Mar 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.ZB003: MICEX Stock Exchange: Turnover: by Securities.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is MOEX Russia Index a Buy?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Stock market turnover ratio (%) in Russia was reported at 39.81 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Stock market turnover ratio - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

How do you predict if a stock will go up or down? (MOEX Russia Index Stock Prediction)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Russia Turnover: Derivatives Market: Futures: Stocks data was reported at 269.466 RUB bn in Jan 2019. This records a decrease from the previous number of 328.078 RUB bn for Dec 2018. Russia Turnover: Derivatives Market: Futures: Stocks data is updated monthly, averaging 272.380 RUB bn from Jan 2009 (Median) to Jan 2019, with 121 observations. The data reached an all-time high of 536.193 RUB bn in Aug 2011 and a record low of 48.441 RUB bn in Jan 2009. Russia Turnover: Derivatives Market: Futures: Stocks 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.ZA008: Moscow Exchange: All Markets: Turnover Detailed.

Stock market capitalization to GDP (%) in Russia was reported at 46.68 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The Russia Defense Market is Segmented by Armed Forces (Army, Navy, and Air Force) and Type (Fixed-wing Aircraft, Rotorcraft, Ground Vehicles, Naval Vessels, C4ISR, Weapons and Ammunition, Protection and Training Equipment, and Unmanned Systems). The report offers market size and forecast for all the above segments in terms of value (USD Billion).

The Russian market for toilet paper, napkins, towels and tissue stock expanded modestly to $6.2B in 2024, with an increase of 4.3% against the previous year. The market value increased at an average annual rate of +3.1% from 2012 to 2024; however, the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. As a result, consumption reached the peak level of $6.4B. From 2023 to 2024, the growth of the market remained at a lower figure.

Russia Equity Market Index: USD data was reported at 25.554 2010=100 in Apr 2025. This records a decrease from the previous number of 26.532 2010=100 for Mar 2025. Russia Equity Market Index: USD data is updated monthly, averaging 38.826 2010=100 from Sep 1995 (Median) to Apr 2025, with 356 observations. The data reached an all-time high of 196.583 2010=100 in May 2008 and a record low of 4.863 2010=100 in Jan 1999. Russia Equity Market Index: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.GEM: Equity Market Index. Local equity market index valued in US$ terms

Stock market return (%, year-on-year) in Russia was reported at 0 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: ETF (Exchange Traded Funds) data was reported at 2,312,104,862.350 RUB in Jan 2019. This records a decrease from the previous number of 3,451,934,520.220 RUB for Dec 2018. Russia Turnover: MICEX Stock Exchange: MS: Secondary Market: ETF (Exchange Traded Funds) data is updated monthly, averaging 1,051,030,349.150 RUB from Aug 2015 (Median) to Jan 2019, with 42 observations. The data reached an all-time high of 34,611,309,269.980 RUB in May 2017 and a record low of 190,410,499.000 RUB in Oct 2015. Russia Turnover: 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.ZB003: MICEX Stock Exchange: Turnover: by Securities.

Comprehensive dataset of 94 Stock exchange buildings in Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Russia Federation Oil and Gas Market is Segmented by Sector (Upstream, Midstream, and Downstream) and Location of Deployment (Onshore and Offshore). The report offers crude oil production and consumption forecast (thousand barrels per day), natural gas production and consumption forecast (billion cubic feet per day), refining capacity forecast (thousand barrels per day, and LNG terminal installed capacity forecast (MTPA).

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.

The Russian tissue paper market was estimated at $2.8B in 2024, rising by 12% against the previous year. Overall, consumption, however, recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $3B. From 2023 to 2024, the growth of the market remained at a lower figure.

Stock price volatility in Russia was reported at 12.32 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Russia - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Comprehensive dataset of 2 Stock exchange buildings in Republic of Bashkortostan, Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.