Brazil's main stock market index, the IBOVESPA, fell to 136187 points on July 11, 2025, losing 0.41% from the previous session. Over the past month, the index has declined 1.17%, though it remains 5.66% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Brazil. Brazil Stock Market (BOVESPA) - values, historical data, forecasts and news - updated on July of 2025.

The main stock market in Brazil is located in the city of São Paulo, which was also the Brazilian region with the majority of coronavirus infections. Right after the COVID-19 pandemic reached Brazil with the first confirmed case on February 25, 2020, the IBOVESPA stock market index sank to 102,984 Brazilian reals on February 27. On March 23, 2020, this index reached the lowest value since the beginning of the year, at 63,570 Brazilian reals. In August 2020, the stock market was starting to stabilize, at an average value of 95,000 Brazilian reals. By the beginning of 2021, the index achieved values comparable to those observed before the outbreak.

Key information about Brazil Month End

• Brazil Month End closed at 122,799.1 points in Feb 2025, compared with 126,134.9 points at the previous month end
• Brazil Index: B3: IBOV: Month End data is updated monthly, available from Jan 1983 to Feb 2025, with an average number of 20,666.4 points
• The data reached an all-time high of 136,004.0 points in Aug 2024 and a record low of 0.0 points in Jan 1983

Stock market index in Brazil, March, 2025 The most recent value is 257.7 points as of March 2025, an increase compared to the previous value of 253.11 points. Historically, the average for Brazil from January 1980 to March 2025 is 70.87 points. The minimum of 0 points was recorded in January 1980, while the maximum of 268.71 points was reached in September 2024. | TheGlobalEconomy.com

The statistic shows the annual development of the Brazil Bovespa stock index from 1993 to 2024. The Brazil Bovespa index reflects the performance of approximately fifty leading stocks traded on the Sao Paolo Stock, Mercantile and Futures exchange (Bolsa de Valores do Estado de Sao Paulo). The year end value of the Bovespa index amounted to ******* points in 2024.

Interactive daily chart of Brazil's BOVESPA stock market index back to 1993. Each data point represents the closing value for that trading day. The current price is updated on an hourly basis with today's latest value.

Brazil Index: Sao Paulo Stock Exchange: IBrX data was reported at 56,969.370 28Dec1995=1000 in Apr 2025. This records an increase from the previous number of 55,131.410 28Dec1995=1000 for Mar 2025. Brazil Index: Sao Paulo Stock Exchange: IBrX data is updated monthly, averaging 20,334.785 28Dec1995=1000 from Mar 1997 (Median) to Apr 2025, with 338 observations. The data reached an all-time high of 57,461.680 28Dec1995=1000 in Aug 2024 and a record low of 1,229.510 28Dec1995=1000 in Sep 1998. Brazil Index: Sao Paulo Stock Exchange: IBrX data remains active status in CEIC and is reported by B3 S.A. - Brasil, Bolsa, Balcão. The data is categorized under Global Database’s Brazil – Table BR.ZA002: B3 S.A. – Brasil, Bolsa, Balcao: Index: Monthly.

Graph and download economic data for CBOE Brazil ETF Volatility Index (VXEWZCLS) from 2011-03-16 to 2025-07-10 about ETF, VIX, volatility, Brazil, stock market, and USA.

Stock market return (%, year-on-year) in Brazil was reported at 18.17 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Graph and download economic data for Financial Market: Share Prices for Brazil (SPASTT01BRA661N) from 1980 to 2024 about Brazil and stock market.

Brazil Index: B3: USD: Special Tag Along Stock: ITAG data was reported at 5,646.000 30Dec2002=1000 in Jun 2019. This records an increase from the previous number of 5,263.000 30Dec2002=1000 for May 2019. Brazil Index: B3: USD: Special Tag Along Stock: ITAG data is updated monthly, averaging 4,477.500 30Dec2002=1000 from Jul 2005 (Median) to Jun 2019, with 168 observations. The data reached an all-time high of 6,031.000 30Dec2002=1000 in Apr 2011 and a record low of 1,416.000 30Dec2002=1000 in Jul 2005. Brazil Index: B3: USD: Special Tag Along Stock: ITAG data remains active status in CEIC and is reported by B3 S.A.. The data is categorized under Brazil Premium Database’s Financial Market – Table BR.ZA003: B3: Index: USD.

Shortly after the first COVID-19 cases were confirmed in the largest Latin American economies, some of the most important stock market indexes in the region plummeted. Compared to its closing quote on ***********, the Brazilian stock exchange index IBOVESPA showed the largest decrease among the stock indexes shown in this graph, surpassing a ** percent fall both in March and in April. On *******, 2020 the IBOVESPA decreased **** percent in value, and gradually recovered to *** percent on **********. Throughout the indicated period, Mexico's IPC index was the one maintaining most of its value, not having decreased more than ** percent since ***********.

Brazil Index: Sao Paulo Stock Exchange: BOVESPA US$ data was reported at 23,860.000 02Jan1968=100 in Apr 2025. This records an increase from the previous number of 22,685.000 02Jan1968=100 for Mar 2025. Brazil Index: Sao Paulo Stock Exchange: BOVESPA US$ data is updated monthly, averaging 4,539.525 02Jan1968=100 from Jan 1968 (Median) to Apr 2025, with 688 observations. The data reached an all-time high of 44,551.680 02Jan1968=100 in May 2008 and a record low of 91.380 02Jan1968=100 in Jan 1968. Brazil Index: Sao Paulo Stock Exchange: BOVESPA US$ data remains active status in CEIC and is reported by B3 S.A. - Brasil, Bolsa, Balcão. The data is categorized under Global Database’s Brazil – Table BR.ZA003: B3 S.A. – Brasil, Bolsa, Balcao: Index: USD.

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.

Bovespa Index: A Reflection of Brazil's Economic Pulse?

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

This package contains the datasets and source codes used in the PhD thesis entitled Predicting the Brazilian stock market using sentiment analysis, technical indicators and stock prices. The following files are included: File Labeled.zip - financial news labeled in two classes (Positive and Negative), organized to train Sentiment Analysis models. Part of these news were initially presented in [1]. Besides the news in this file, in the related PhD thesis the training dataset was complemented with the labeled news presented in [2]. File Unlabeled.zip - general unlabeled financial news collected during the period 2010-2020 from the following online sources: G1, Folha de São Paulo and Estadão. This file contains news from the Bovespa index and from the following companies: Banco do Brasil, Itau, Gerdau and Ambev. File Stocks.zip - stock prices from the companies Banco do Brasil, Itau, Gerdau, Ambev, and the Bovespa index. The considered period ranges from 2010 to 2020. File Models.zip - contains the source codes of the models used in the PhD thesis (i.e., Multilayer Perceptron, Long Short-Term Memory, Bidirectional Long Short-Term Memory, Convolutional Neural Network, and Support Vector Machines). File Utils.zip - contains the source codes of the preprocessing step designed for the methodology of this work (i.e., load data and generate the word embeddings), alongside with stocks manipulation, and investment evaluation. [1] Carosia, A. E. D. O., Januário, B. A., da Silva, A. E. A., & Coelho, G. P. (2021). Sentiment Analysis Applied to News from the Brazilian Stock Market. IEEE Latin America Transactions, 100. DOI: 10.1109/TLA.2022.9667151 [2] MARTINS, R. F.; PEREIRA, A.; BENEVENUTO, F. An approach to sentiment analysis of web applications in portuguese. Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, ACM, p. 105–112, 2015. DOI: 10.1145/2820426.2820446

Brazil Index: B3: Special Tag Along Stock: ITAG data was reported at 21,634.820 30Dec2002=1000 in Jun 2019. This records an increase from the previous number of 20,739.870 30Dec2002=1000 for May 2019. Brazil Index: B3: Special Tag Along Stock: ITAG data is updated monthly, averaging 9,162.880 30Dec2002=1000 from Jan 2003 (Median) to Jun 2019, with 198 observations. The data reached an all-time high of 21,634.820 30Dec2002=1000 in Jun 2019 and a record low of 943.860 30Dec2002=1000 in Feb 2003. Brazil Index: B3: Special Tag Along Stock: ITAG data remains active status in CEIC and is reported by B3 S.A.. The data is categorized under Brazil Premium Database’s Financial Market – Table BR.ZA002: B3: Index: Monthly.

ABSTRACT The study sought to apply the model developed by Gokhale et al. (2015) to identify the existence of overreaction and behavioral biases in the Brazilian stock market and analyze its performance as an investment strategy on the São Paulo Stock, Commodities, and Futures Exchange (BM&FBOVESPA) in the short term and long term, as well as test its robustness with time window simulations. The impacts of behavioral finance on capital markets can affect economic decisions, perpetuate or increase asset pricing anomalies, and in more extreme and persistent situations contribute to the formation of bubbles that can compromise the entire financial system of a country. The study pioneers an innovative methodology in the Brazilian stock market for identifying behavioral biases and obtaining abnormal returns and higher returns than the Ibovespa. The research uses the model developed by Gokhale, Tremblay, and Tremblay (2015) in three samples with quotations data for Brazilian publicly-traded companies that compose the Ibovespa and IBrA in the period from 2005 to 2016. With the R statistical software, the Fundamental Valuation Index (FVI) was calculated for each sample share and each year. From the FVI index, the undervalued shares were identified, indicating that the sales price does not reflect their economic fundamentals, and portfolio simulations were carried out for investment over three months or the next year. The results indicate the possible existence of overreaction and behavioral biases in the Brazilian stock market, which lead to the possibility of higher abnormal returns than those of the Ibovespa. Similar to the US market, at the end of the 2006-2016 period simulated portfolios yielded more than 274%, while the Ibovespa yielded approximately 80%. The robustness tests attest to the effectiveness of the model. The various investment portfolios, simulated over different time horizons, yielded more than the Ibovespa on average. The study also confirmed the assumptions of Gokhale, Tremblay, and Tremblay (2015) regarding the model's inadequacy for short-term strategies.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

Brazil Index: Sao Paulo Stock Exchange: Electric Power Index data was reported at 96,101.000 29Dec1994=1000 in Apr 2025. This records an increase from the previous number of 85,279.930 29Dec1994=1000 for Mar 2025. Brazil Index: Sao Paulo Stock Exchange: Electric Power Index data is updated monthly, averaging 24,854.495 29Dec1994=1000 from Sep 1996 (Median) to Apr 2025, with 344 observations. The data reached an all-time high of 96,101.000 29Dec1994=1000 in Apr 2025 and a record low of 1,356.640 29Dec1994=1000 in Jan 1999. Brazil Index: Sao Paulo Stock Exchange: Electric Power Index data remains active status in CEIC and is reported by B3 S.A. - Brasil, Bolsa, Balcão. The data is categorized under Global Database’s Brazil – Table BR.ZA002: B3 S.A. – Brasil, Bolsa, Balcao: Index: Monthly.

Content

This dataset presents future contracts dataset from the Brazilian stock index IBOVESPA ("e-mini" and "full"), collected from different sources.

Important: - Date column format may change among the files (it's easy to spot, but I'll fix it asap)

It's a work in progress... I intend to improve and maintain this dataset from now on...