Near Intelligence Stock Technical Analysis
| NIRDelisted Stock | 1.49 0.10 6.29% |
As of the 5th of January, Near Intelligence secures the Standard Deviation of 9.06, mean deviation of 5.46, and Risk Adjusted Performance of (0.07). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Near Intelligence, as well as the relationship between them. Please verify Near Intelligence market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and skewness to decide if Near Intelligence is priced some-what accurately, providing market reflects its recent price of 1.49 per share. Please also check out Near Intelligence jensen alpha, which is currently at (0.82) to check the company can sustain itself at a future point.
Near Intelligence Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Near, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to NearNear |
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.
Near Intelligence Technical Analysis
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Near Intelligence Trend Analysis
Use this graph to draw trend lines for Near Intelligence. You can use it to identify possible trend reversals for Near Intelligence as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Near Intelligence price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Near Intelligence Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Near Intelligence applied against its price change over selected period. The best fit line has a slop of 0.02 , which may imply that the returns on investment in Near Intelligence will continue to fail. It has 122 observation points and a regression sum of squares at 8.77, which is the sum of squared deviations for the predicted Near Intelligence price change compared to its average price change.About Near Intelligence Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Near Intelligence on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Near Intelligence based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Near Intelligence price pattern first instead of the macroeconomic environment surrounding Near Intelligence. By analyzing Near Intelligence's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Near Intelligence's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Near Intelligence specific price patterns or momentum indicators. Please read more on our technical analysis page.
Near Intelligence January 5, 2025 Technical Indicators
Most technical analysis of Near help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Near from various momentum indicators to cycle indicators. When you analyze Near charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | 0.3127 | |||
| Mean Deviation | 5.46 | |||
| Coefficient Of Variation | (1,079) | |||
| Standard Deviation | 9.06 | |||
| Variance | 82.15 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.82) | |||
| Total Risk Alpha | (0.99) | |||
| Treynor Ratio | 0.3027 | |||
| Maximum Drawdown | 59.55 | |||
| Value At Risk | (11.28) | |||
| Potential Upside | 9.09 | |||
| Skewness | 3.23 | |||
| Kurtosis | 18.07 |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Consideration for investing in Near Stock
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.
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