This dataset contains historical stock price data for Tesla, Inc. (TSLA) starting from its IPO date, June 29, 2010, to January 1, 2025. The dataset includes daily records of Tesla's stock performance on the NASDAQ stock exchange. It is ideal for time-series analysis, stock price prediction, and understanding the long-term performance of Tesla in the stock market.

The dataset consists of the following columns:

1. Date: The trading date.
2. Open: Opening stock price on the given date.
3. High: The highest stock price during the trading day.
4. Low: The lowest stock price during the trading day.
5. Close: The closing stock price for the day.
6. Adj Close: Adjusted closing price (corrected for dividends and stock splits).
7. Volume: The number of shares traded during the day.

Use Cases of Tesla Stock Historical Data

1. Time-Series Analysis

   • Analyze trends in Tesla's stock prices over time.
   • Identify seasonality, volatility, and long-term patterns in Tesla’s performance.

2. Stock Price Prediction

   • Develop predictive models to forecast future stock prices using techniques such as ARIMA, LSTMs, or regression.

3. Investment Strategy Evaluation

   • Backtest trading strategies by simulating trades based on historical price movements.
   • Analyze returns of investment strategies such as moving averages, RSI, or Bollinger Bands.

4. Market Sentiment Analysis

   • Correlate Tesla’s stock performance with news sentiment, earnings reports, and market events.

5. Portfolio Diversification

   • Evaluate Tesla’s performance compared to other stocks or indices to assess its role in a diversified portfolio.

6. Risk Management

   • Calculate volatility, beta, and other risk metrics to assess the risk associated with investing in Tesla stock.

7. Economic and Market Studies

   • Study how macroeconomic indicators (like inflation, interest rates) influence Tesla’s stock price.
   • Analyze Tesla’s performance during major economic events such as the COVID-19 pandemic or policy changes.

8. Stock Splits and Adjustments Analysis

   • Examine the impact of Tesla’s stock splits on price and trading volume.

9. Educational Purposes

   • Serve as a dataset for academic projects, coursework, or tutorials on financial data analysis.

10. Correlation with Sector Trends

    • Compare Tesla’s stock performance with other automotive or renewable energy companies.

11. Data Visualization and Dashboarding

    • Create dashboards using tools like Tableau, Power BI, or Python libraries to visualize Tesla’s stock performance metrics.

12. A/B Testing for Financial Applications

    • Use historical stock data for controlled experiments in finance-related applications to improve decision-making tools.

Crude oil and the stock market are closely interrelated due to various factors. This article explores the impact of oil prices on inflation, consumer spending, energy companies, and overall market sentiment, highlighting the complex relationship between crude oil and the stock market.

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Technical testing and analysis companies provide crucial services to companies in all sectors of the economy. The construction, industrial production and energy sectors are the major markets for these services. These sectors rely on broader economic conditions, which often dictate their demand for testing and analysis services. The COVID-19 outbreak at the beginning of the previous five-year period, along with the subsequent inflationary environment, has significantly impacted construction and manufacturing output, reducing demand for testing and analysis services. However, the energy and IT sectors have increased their levels of demand in recent years, propping up revenue. Revenue is projected to grow at a compound annual rate of 2.7% to €79.7 billion over the five years through 2025, including an estimated rise of 2.8% in 2025. The reduced level of industrial production and construction activity limited spending on testing services in 2020. As conditions improved and activity in the manufacturing and construction sectors rebounded, the need for materials and products to be tested surged. However, soaring inflation and heightened economic uncertainty have weakened spending on technical testing and analysis services as output in downstream markets has suffered. However, as interest rates have been falling across Europe over the past two years through 2025, cheaper borrowing costs will support demand from the construction and industrial sectors, as more projects become financially feasible. Rising costs in 2025, driven by the introduction of tariffs from the US, have led to higher input expenses, including chemicals, which have hindered profit growth for the industry in 2025. Improving economic conditions and lower European inflation rates will stimulate greater investment and business spending, with demand for technical testing and analysis following suit. Government funding and initiatives supporting the manufacturing, nuclear energy and construction sectors will further bolster demand. Environmental efforts, driven by the EU and UK's sustainability targets, will also generate an uptick for testing services as businesses strive to achieve accreditations and comply with regulations. Investments in advanced technology like AI, drones and telecommunication infrastructure will boost the need for comprehensive testing, especially in cybersecurity due to increasing threats. A growing number of testing and analysis companies will consequently expand their capabilities to capitalise on these opportunities. Revenue is forecast to expand at a compound annual rate of 7.1% to €112.5 billion over the five years through 2030.

Electricity prices for businesses amounted to *** cents per kilowatt-hour on the U.S. dollar in China in June 2024. Business electricity prices decreased in the country from over **** cents per kilowatt-hour in June 2020. Household electricity in China was cheaper, amounting to *** cents per kilowatt-hour in March 2024. Overhauling price calculation Since its liberalization of the state electricity market, the National Development and Reform Commission introduced an overhaul of the electricity pricing model in mid-2023. Based on the premise of “cost plus reasonable profit” the reforms were aimed at introducing fairer and more transparent rates while also promoting more efficient utilization of the electricity grid. In the new system, businesses enjoy lower electricity rates if they use higher voltages, reflecting a more accurate distribution of grid utilization costs. Competition in industrial policy For many years, the Chinese government has been accused of using subsidized electricity prices to give domestic companies an advantage on the world market. In the EV race, they come up again. To accelerate the industrialization of the country, policymakers have set up ambitious development goals and created the necessary framework to achieve them. For instance, electric battery manufacturers could utilize significant government support. However, often, subsidies like preferential electricity prices are difficult to prove, and in response to European and American accusations, Beijing points to the Inflation Reduction Act in the U.S. and similar subsidy programs in the European Union.

Canada's main stock market index, the TSX, fell to 30943 points on December 2, 2025, losing 0.51% from the previous session. Over the past month, the index has climbed 2.21% and is up 20.70% 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 December of 2025.