The "Stock Market Dataset for AI-Driven Prediction and Trading Strategy Optimization" is designed to simulate real-world stock market data for training and evaluating machine learning models. This dataset includes a combination of technical indicators, market metrics, sentiment scores, and macroeconomic factors, providing a comprehensive foundation for developing and testing AI models for stock price prediction and trading strategy optimization.

Key Features Market Metrics:

Open, High, Low, Close Prices: Daily stock price movement. Volume: Represents the trading activity during the day. Technical Indicators:

RSI (Relative Strength Index): A momentum oscillator to measure the speed and change of price movements. MACD (Moving Average Convergence Divergence): An indicator to reveal changes in strength, direction, momentum, and duration of a trend. Bollinger Bands: Upper and lower bands around a stock price to measure volatility. Sentiment Analysis:

Sentiment Score: Simulated sentiment derived from financial news and social media, ranging from -1 (negative) to 1 (positive). Macroeconomic Factors:

GDP Growth: Indicates the overall health and growth of the economy. Inflation Rate: Reflects changes in purchasing power and economic stability. Target Variable:

Buy/Sell Signal: Binary classification (1 = Buy, 0 = Sell) based on price movement thresholds, simulating actionable trading decisions. Use Cases AI Model Training: Ideal for building stock prediction models using LSTM, Gradient Boosting, Random Forest, etc. Trading Strategy Optimization: Enables testing of trading algorithms and strategies in a simulated environment. Sentiment Analysis Research: Useful for understanding how sentiment influences stock movements. Feature Engineering and Selection: Provides a diverse set of features for experimentation with advanced techniques like PCA and LDA. Dataset Highlights Synthetic Yet Realistic: Carefully designed to mimic real-world financial data trends and relationships. Comprehensive Coverage: Includes key indicators and metrics used by traders and analysts. Scalable: Suitable for use in both small-scale academic projects and larger AI-driven trading platforms. Accessible for All Levels: The intuitive structure ensures that even beginners can utilize this dataset for financial machine learning applications. File Format The dataset is provided in CSV format, where:

Rows represent individual trading days. Columns represent features (technical indicators, market metrics, etc.) and the target variable. Acknowledgments This dataset is synthetically generated and is intended for research and educational purposes. It is not based on real market data and should not be used for actual trading.

This dataset contains the predicted prices of the asset Interconnected Markets over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Detailed Price metrics and analytics for Swarm Markets, including historical data and trends.

This table presents prices of several global markets as published daily in the Dutch Financieel Dagblad. On the basis of daily prices, Statistics Netherlands calculates average monthly prices, quarterly averages and annual averages. The table is divided into the following product groups: Agricultural products, Tropical products, Precious metals, Metals and Energy. Exchange rates of the US dollar, the British pound and the Japanese yen against the Euro and vice versa are also given in this table.

Data available from: 2006

Status of the figures. All figures presented in this table are final.

When will more recent figures be published? Approximately 14 days after the reporting month, more recent figures will be available for publication.

Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

This dataset contains the predicted prices of the asset Pure Market over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

France's main stock market index, the FR40, rose to 8121 points on December 2, 2025, gaining 0.29% from the previous session. Over the past month, the index has climbed 0.13% and is up 11.93% 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 December of 2025.

Actual value and historical data chart for China Annual Percentage Growth Rate Of GDP At Market Prices Based On Constant 2010 Us Dollars

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data was reported at 572.000 RMB/Ton in Feb 2019. This records a decrease from the previous number of 577.000 RMB/Ton for Jan 2019. China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data is updated monthly, averaging 573.000 RMB/Ton from Apr 2014 (Median) to Feb 2019, with 59 observations. The data reached an all-time high of 690.000 RMB/Ton in Dec 2018 and a record low of 437.000 RMB/Ton in Dec 2015. China Market Price: Power Coal: 5500-6000 Calorie: Price at Railway Station data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: Market and Contract Price: Coal.

The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.

The dataset includes the following columns:

Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.

This dataset contains the predicted prices of the asset Socialized Creators Union & Markets over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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.

Mango Markets price data for 2025-11-06 including currency, value, high, low, open, close, and percentage difference.

Average prices in 2020 for hacked log-ins for online accounts for sale on darknet markets. The dataset is focused on online accounts for brands most affected by lockdowns and social distancing. It’s ordered by type of credential, in descending order by average sale value.

Learn about the current market price for oats, factors influencing prices, demand drivers, impact of COVID-19, and the positive outlook for the oat market. Stay informed about market trends to make informed decisions in buying and selling oats.

Zomato is a leading global food delivery and restaurant discovery platform, founded in 2008 by Deepinder Goyal and Pankaj Chaddah. Initially launched as Foodiebay, the platform rebranded to Zomato in 2010 and rapidly expanded its services beyond restaurant discovery to include online ordering, food delivery, and restaurant reservations. Today, Zomato operates in numerous countries and serves millions of users, playing a crucial role in the food tech industry.

This dataset provides an extensive record of Zomato's stock price changes since May 2021. It includes essential columns such as the date, opening price, highest price of the day, lowest price of the day, closing price, adjusted closing price, and trading volume.

This comprehensive data is ideal for conducting historical stock performance analysis, predicting future trends, and understanding the market behavior related to Zomato's stock.

Historic market price from bbdc4 on B3 from Brazil. Period from 01/06/1996 to 04/20/2021 Contain date, total transactions, total titles, financial volumn, close price, open price, low price, high price and mean price.

Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on December of 2025.

Fish market price survey contains data on market prices for different fish species, both fresh and live. The information is obtained from 28 wholesale and retail markets in the Rangpur and Rajshahi divisions of Bangladesh. The system contains updated fish price information from October, 2019 to October,2022.