Near Technical Analysis
| NEAR Crypto | USD 1.06 0.01 0.95% |
As of the 21st of February, Near secures the Risk Adjusted Performance of (0.10), mean deviation of 3.58, and Standard Deviation of 5.01. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Near's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Near.
| 11/23/2025 |
| 02/21/2026 |
If you would invest 0.00 in Near on November 23, 2025 and sell it all today you would earn a total of 0.00 from holding Near or generate 0.0% return on investment in Near over 90 days. Near is related to or competes with Staked Ether, Wrapped Bitcoin, Monero, Tether, Chainlink, USD Coin, and FTX Token. Near is peer-to-peer digital currency powered by the Blockchain technology.
Near Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Near's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Near upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 26.44 | |||
| Value At Risk | (8.05) | |||
| Potential Upside | 7.69 |
Near Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Near's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Near's standard deviation. In reality, there are many statistical measures that can use Near historical prices to predict the future Near's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.69) | |||
| Total Risk Alpha | (1.21) | |||
| Treynor Ratio | 0.8936 |
Near February 21, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.10) | |||
| Market Risk Adjusted Performance | 0.9036 | |||
| Mean Deviation | 3.58 | |||
| Coefficient Of Variation | (679.42) | |||
| Standard Deviation | 5.01 | |||
| Variance | 25.07 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.69) | |||
| Total Risk Alpha | (1.21) | |||
| Treynor Ratio | 0.8936 | |||
| Maximum Drawdown | 26.44 | |||
| Value At Risk | (8.05) | |||
| Potential Upside | 7.69 | |||
| Skewness | (0.17) | |||
| Kurtosis | 1.52 |
Near Backtested Returns
Near has Sharpe Ratio of -0.16, which conveys that digital coin had a -0.16 % return per unit of risk over the last 3 months. Near exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Near's Risk Adjusted Performance of (0.10), standard deviation of 5.01, and Mean Deviation of 3.58 to check out the risk estimate we provide. The crypto secures a Beta (Market Risk) of -0.84, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Near are expected to decrease at a much lower rate. During the bear market, Near is likely to outperform the market.
Auto-correlation | 0.73 |
Good predictability
Near has good predictability. Overlapping area represents the amount of predictability between Near time series from 23rd of November 2025 to 7th of January 2026 and 7th of January 2026 to 21st of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Near price movement. The serial correlation of 0.73 indicates that around 73.0% of current Near price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
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 ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Near across different markets.
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 February 21, 2026 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 | (0.10) | |||
| Market Risk Adjusted Performance | 0.9036 | |||
| Mean Deviation | 3.58 | |||
| Coefficient Of Variation | (679.42) | |||
| Standard Deviation | 5.01 | |||
| Variance | 25.07 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.69) | |||
| Total Risk Alpha | (1.21) | |||
| Treynor Ratio | 0.8936 | |||
| Maximum Drawdown | 26.44 | |||
| Value At Risk | (8.05) | |||
| Potential Upside | 7.69 | |||
| Skewness | (0.17) | |||
| Kurtosis | 1.52 |
Near February 21, 2026 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 | 10,853 | ||
| Daily Balance Of Power | 0.14 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.08 | ||
| Day Typical Price | 1.07 | ||
| Price Action Indicator | (0.01) |
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 inflation. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.