Near Technical Analysis
| NEAR Crypto | USD 6.49 0.29 4.68% |
As of the 25th of November, Near secures the Risk Adjusted Performance of 0.0729, mean deviation of 4.2, and Downside Deviation of 4.97. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Near, as well as the relationship between them.
Near 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 technical crypto coin 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, crypto market cycles, or different charting patterns.
Near Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Near volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Near Trend Analysis
Use this graph to draw trend lines for Near. You can use it to identify possible trend reversals for Near 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 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Near Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Near applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Near will continue generating value for investors. It has 122 observation points and a regression sum of squares at 17.7, which is the sum of squared deviations for the predicted Near price change compared to its average price change.About Near 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 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 based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Near price pattern first instead of the macroeconomic environment surrounding Near. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Near's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Near specific price patterns or momentum indicators.
Near November 25, 2024 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 | 0.0729 | |||
| Market Risk Adjusted Performance | 0.8364 | |||
| Mean Deviation | 4.2 | |||
| Semi Deviation | 4.7 | |||
| Downside Deviation | 4.97 | |||
| Coefficient Of Variation | 1192.93 | |||
| Standard Deviation | 5.43 | |||
| Variance | 29.51 | |||
| Information Ratio | 0.0598 | |||
| Jensen Alpha | 0.3803 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | 0.0652 | |||
| Treynor Ratio | 0.8264 | |||
| Maximum Drawdown | 27.3 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 9.81 | |||
| Downside Variance | 24.75 | |||
| Semi Variance | 22.1 | |||
| Expected Short fall | (4.78) | |||
| Skewness | 0.2474 | |||
| Kurtosis | 0.7008 |
Near November 25, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Near stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,215 | ||
| Daily Balance Of Power | 3.62 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 6.45 | ||
| Day Typical Price | 6.46 | ||
| Price Action Indicator | 0.19 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Near. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.