Near Intelligence Price History

Near Intelligence Stock Price History Chart

Near Stock Price History Data

The price series of Near Intelligence for the period between Mon, Sep 2, 2024 and Sun, Dec 1, 2024 has a statistical range of 2.27 with a coefficient of variation of 25.34. The daily prices for the period are spread out with arithmetic mean of 2.03. The median price for the last 90 days is 1.89.

Near Intelligence investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Near is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Near Intelligence will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Near Intelligence stock prices may prove useful in developing a viable investing in Near Intelligence

Near Intelligence technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, delisted stock market cycles, or different charting patterns.

Predictive indicators are helping investors to find signals for Near Intelligence's price direction in advance. Along with the technical and fundamental analysis of Near Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Near to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

If you are still planning to invest in Near Intelligence check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Near Intelligence's history and understand the potential risks before investing.