Near Market Value
| NEAR Crypto | USD 2.54 0.04 1.55% |
| Symbol | Near |
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.
| 12/13/2024 |
| 03/13/2025 |
If you would invest 0.00 in Near on December 13, 2024 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 | (0.18) | |||
| Maximum Drawdown | 31.82 | |||
| Value At Risk | (13.26) | |||
| Potential Upside | 9.81 |
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 | (0.16) | |||
| Jensen Alpha | (1.26) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (4.00) |
Near Backtested Returns
Near has Sharpe Ratio of -0.2, which conveys that digital coin had a -0.2 % 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 Mean Deviation of 4.86, standard deviation of 6.38, and Risk Adjusted Performance of (0.16) to check out the risk estimate we provide. The crypto secures a Beta (Market Risk) of 0.32, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Near's returns are expected to increase less than the market. However, during the bear market, the loss of holding Near is expected to be smaller as well.
Auto-correlation | 0.60 |
Good predictability
Near has good predictability. Overlapping area represents the amount of predictability between Near time series from 13th of December 2024 to 27th of January 2025 and 27th of January 2025 to 13th of March 2025. 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 0.6 indicates that roughly 60.0% of current Near price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Near lagged returns against current returns
Autocorrelation, which is Near crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Near's crypto coin expected returns. We can calculate the autocorrelation of Near returns to help us make a trade decision. For example, suppose you find that Near has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Near regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Near crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Near crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Near crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Near Lagged Returns
When evaluating Near's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Near crypto coin have on its future price. Near autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Near autocorrelation shows the relationship between Near crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Near.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Near offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Near's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Near Crypto.Check out Near Correlation, Near Volatility and Investing Opportunities module to complement your research on Near. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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.