Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

Context

Time series modelling for the prediction of stocks prices is a challenging task. Political events, market expectations and economic factors are just a few known factors that can impact financial market behaviour. The financial market is a complex, noisy, evolutionary and chaotic field of study that attracts many enthusiasts and researches — the first, usually driven by the economic benefit of it, the latter, inspired by the challenge of handling such complex data.

This project aims to predict Facebook (FB) next day stock price direction with machine learning algorithms. Technical indicators and global market indexes are used, and their influence on the forecast accuracy is analysed.

Content

Daily values were retrieved (volume, open, close, low and high prices) from Yahoo! Finance website. For Facebook (FB), July 2012 was the earliest data available. The date range is July 2012 to November 2018.

The closing price of current day C(t) and closing price from the previous day C(t-1) are compared to build the initial dataset. The objective is to define if the price trend is going up or down by analysing these two values. For each instance, a comparison was made and recorded. If the price is going up, C(t) > C(t-1), class “1” is assigned. Class “0” is assigned for the opposite case.

• ID: Sample ID
• Close: Closing value of previous day
• Low: Lowest value of previous day
• High: Highest value of previous day
• Volume: Volume value of previous day

Research was initiated to understand which features could help the model to forecast the stock direction. Three main routes were found: Lag features, Technical Indicators and Global Market Indexes. Below is an explanation of each group of features.

Lag features are features that contain the closing price and direction of previous days and it is a common strategy for Time Series models. The following features were added:

• C(t-5): Closing price of 5 days before
• C(t-4): Closing price of 4 days before
• C(t-3): Closing price of 3 days before
• C(t-2): Closing price of 2 days before
• C_up_4: Output 1 if closing price went up 4 days ago
• C_up_3: Output 1 if closing price went up 3 days ago
• C_up_2: Output 1 if closing price went up 2 days ago
• C_up_1: Output 1 if closing price went up 1 day ago

Technical indicators are used by researches and financial market analysts to support stock market trend forecasting. Common indicators retrieved from the literature were selected and calculated for Facebook stock. Techical Indicators added:

• MA-10: Moving Average considering previous 10 days
• MA-5: Moving Average considering previous 5 days
• WMA-10: Weighted Moving Average considering previous 10 days
• SO: Stochastic Oscillator
• M: Momentum as the difference in closing price in a 10 days interval
• SSO: Slow Stochastic Oscillator
• EMA: Exponential Moving Average for a 10 day period
• MACD_Sline_9: MACD Signal Line for a 9 day period
• RSI: Relative Strength Index
• CCI: Commodity Channel Index
• ADO: Accumulation Distribution Oscillator

Technical indicators provide a suggestion of the stock price movement. Additional features were created for each technical indicator by analysing its daily value and assigning a class according to their meaning. Class “1” is given if the indicator numerical value suggests upper trend, class “0” for a downtrend. In other words, financial market analysis is performed at a simplistic level, in the attempt to translate what the continuous value means.

• MA-10>C: If MA-10 is higher than Closing price output 1
• MA-5>C: If MA-5 is higher than Closing price output 1
• WMA-10>C: If WMA-10 is higher than Closing price output 1
• SO>SOt-1: Output is 1 if SO current value is higher than previous day
• M>0: A positive momentum outputs 1
• SSO>SSOt-1: SSO current value is higher than previous day
• EMA>C: If EMA is higher than Closing price output 1
• MACD>MACDt-1: If MACD current value is higher than previous day output 1
• RSI70-30: If RSI is above 70, output 0. Values below 30 output is one. For values within this range it compares to previous day and outputs 1 if value has increased
• CCI200-200: Similar to RSI, but if threshold set for 200 and -200.
• ADO>ADOt-1: Output is 1 if ADO current value is higher than previous day

For a given country or region, the stock market index characterises the performance of its financial market and the overall local economy. For this reason, the same day performance of these markets could contribute to the machine learning model predictions. Six global indexes were added as features, with their closing direction as up or down, class “1” or “0”, respectively. Data for these indexes (Nikkei, Hang Seng, All Ordinaries, Euronext 100, SSE and DAX) were also retrieved from Yahoo! Finance.

Yahoo Finance dataset provides information on top traded companies. It contains financial information on each company including stock ticker and risk scores and general company information such as company location and industry. Each record in the dataset is a unique stock, where multiple stocks can be related to the same company. Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

Turkey Silver Market: IGE: USD: Last Trade Day: Close Price data was reported at 0.000 USD/oz in Jul 2018. This records a decrease from the previous number of 16.000 USD/oz for Jun 2018. Turkey Silver Market: IGE: USD: Last Trade Day: Close Price data is updated monthly, averaging 6.675 USD/oz from Aug 1999 (Median) to Jul 2018, with 212 observations. The data reached an all-time high of 49.000 USD/oz in Apr 2011 and a record low of 0.000 USD/oz in Jul 2018. Turkey Silver Market: IGE: USD: Last Trade Day: Close Price data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z021: Istanbul Gold Exchange: Silver Market.

The dataset contains Walmart Inc historical stock price data for last 10 years. I obtained this data from the official Yahoo Website. It can found in the following link - https://finance.yahoo.com/quote/WMT/history?p=WMT. The purpose of this dataset is to understand and implement different forecasting models.

This dataset contains a total of 2516 observations and 6 features.

Each feature is described below: * Date - Date of the trading day * Close - Price of the stock at the end of the trading day * Volume - Total number of stocks sold on a given trading day * Open - Price of the stock at the beginning of the trading day * High - Highest stock price during the trading day * Low - Lowest stock price during the trading * Adj Close - Adjusted close is the closing price after adjustments for all applicable splits and dividend distributions.

This dataset is inspired by another dataset on Kaggle which can be found here

The latest closing stock price for Alphabet as of June 18, 2025 is 173.86. An investor who bought $1,000 worth of Alphabet stock at the IPO in 2004 would have $68,661 today, roughly 69 times their original investment - a 22.39% compound annual growth rate over 21 years. The all-time high Alphabet stock closing price was 205.89 on February 04, 2025. The Alphabet 52-week high stock price is 207.05, which is 19.1% above the current share price. The Alphabet 52-week low stock price is 140.53, which is 19.2% below the current share price. The average Alphabet stock price for the last 52 weeks is 172.15. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

France's main stock market index, the FR40, fell to 7766 points on July 15, 2025, losing 0.54% from the previous session. Over the past month, the index has climbed 0.31% and is up 2.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

Stocks of U.S.-headquartered movie theatre operator AMC Entertainment Holdings started to rise sharply on January 26, 2021, rising fourfold compared to the previous day. Their stock price then fell by over 50 percent by the close of trading on January 17, only to climb another 50 percent to reach 13.26 U.S. dollars per share at the close of trading on January 29, 2020. As professional investors moved away from AMC the stock price began to fall again, stabilizing in mid-February. Since then stock prices rose again in late May with the reopening of cinemas in many parts of the U.S, reaching a peak of 62.55 U.S. dollars per share at the close of trade on June 2, 2021. Since then stock prices have fallen back, sitting at 3.21 U.S. dollars at the close of trade on January 29, 2025.The primary cause of this dramatic fluctuation is a concerted social media campaign, notably on Reddit, for individual investors to purchase the company's stock. This campaign was partly motivated by the nostalgic value of the struggling cinema operator to many people, and partly to cause losses for professional investors intending to 'short sell' AMC stock. In this sense the situation is similar to the dramatic rise in the price of GameStop shares which occurred at the same time.

Meta stock price for past 10 years. Following technical indicators added.

1. Date: This column represents the date for which the data is recorded.
2. Open: The opening price of a stock on a particular trading day.
3. High: The highest price at which a stock traded during the trading day.
4. Low: The lowest price at which a stock traded during the trading day.
5. Close: The closing price of a stock on a particular trading day. This is the final price at which the stock is valued for the day.
6. Volume: The number of shares or contracts traded in a security or an entire market during a given period, usually one trading day.
7. RSI_7: 7-day Relative Strength Index. It's a momentum indicator measuring the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock.
8. RSI_14: 14-day Relative Strength Index. Similar to RSI_7 but calculated over 14 days.
9. CCI_7: 7-day Commodity Channel Index. It’s a technical indicator that measures the difference between the current price and the historical average price. When calculated over 7 days, it gives short-term trends.
10. CCI_14: 14-day Commodity Channel Index. Like CCI_7, but over 14 days for more medium-term trends.
11. SMA_50: 50-day Simple Moving Average. It averages the closing prices of a stock over the past 50 days.
12. EMA_50: 50-day Exponential Moving Average. Similar to SMA_50, but gives more weight to recent prices, making it more responsive to new information.
13. SMA_100: 100-day Simple Moving Average. It averages the closing prices over the past 100 days.
14. EMA_100: 100-day Exponential Moving Average. Like SMA_100, but more responsive to recent price changes.
15. MACD: Moving Average Convergence Divergence. This indicator shows the relationship between two moving averages of a stock’s price.
16. Bollinger: Bollinger Bands. A type of price envelope developed by John Bollinger.
17. TrueRange: Typically used in calculating the Average True Range (ATR), it is a measure of volatility that considers the range between the high, low, and previous close of a stock.
18. ATR_7: 7-day Average True Range. It measures market volatility by decomposing the entire range of a stock for that period.
19. ATR_14: 14-day Average True Range. Similar to ATR_7, but calculated over 14 days.

Target

Next_Day_Close: Represents the closing price of the stock for the next day. It is useful for predictive models trying to forecast future prices.

Canada's main stock market index, the TSX, rose to 27199 points on July 14, 2025, gaining 0.65% from the previous session. Over the past month, the index has climbed 2.37% and is up 19.55% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

Interactive chart of the S&P 500 stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.

Turkey Gold Market: IGE: TRY: Last Trade Day: Close Price data was reported at 203,700.000 TRY/kg in Nov 2018. This records a decrease from the previous number of 214,800.000 TRY/kg for Oct 2018. Turkey Gold Market: IGE: TRY: Last Trade Day: Close Price data is updated monthly, averaging 18,645.000 TRY/kg from Jul 1995 (Median) to Nov 2018, with 281 observations. The data reached an all-time high of 252,200.000 TRY/kg in Aug 2018 and a record low of 0.000 TRY/kg in Aug 2013. Turkey Gold Market: IGE: TRY: Last Trade Day: Close Price data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z020: Istanbul Gold Exchange: Gold Market.

Interactive chart of the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

Hong Kong's main stock market index, the HK50, rose to 24621 points on July 16, 2025, gaining 0.13% from the previous session. Over the past month, the index has climbed 2.67% and is up 38.79% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.

Turkey Gold Market: IGE: USD: Last Trade Day: Close Price data was reported at 1,223.000 USD/oz in Jul 2018. This records a decrease from the previous number of 1,247.000 USD/oz for Jun 2018. Turkey Gold Market: IGE: USD: Last Trade Day: Close Price data is updated monthly, averaging 633.100 USD/oz from Jul 1995 (Median) to Jul 2018, with 277 observations. The data reached an all-time high of 1,779.000 USD/oz in Feb 2012 and a record low of 0.000 USD/oz in Aug 2013. Turkey Gold Market: IGE: USD: Last Trade Day: Close Price data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z020: Istanbul Gold Exchange: Gold Market.