NMC Market Value
| NMC Crypto | USD 0.91 0.04 4.21% |
| Symbol | NMC |
NMC '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 NMC'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 NMC.
| 01/20/2023 |
| 01/09/2025 |
If you would invest 0.00 in NMC on January 20, 2023 and sell it all today you would earn a total of 0.00 from holding NMC or generate 0.0% return on investment in NMC over 720 days. NMC is related to or competes with Bitcoin, Dogecoin, Bitcoin Cash, Litecoin, Ethereum Classic, Monero, and Arweave. NMC is peer-to-peer digital currency powered by the Blockchain technology.
NMC 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 NMC'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 NMC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.22 | |||
| Information Ratio | 0.1719 | |||
| Maximum Drawdown | 29.87 | |||
| Value At Risk | (9.23) | |||
| Potential Upside | 9.23 |
NMC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NMC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NMC's standard deviation. In reality, there are many statistical measures that can use NMC historical prices to predict the future NMC's volatility.| Risk Adjusted Performance | 0.1483 | |||
| Jensen Alpha | 0.9229 | |||
| Total Risk Alpha | 0.9259 | |||
| Sortino Ratio | 0.1769 | |||
| Treynor Ratio | 0.6991 |
NMC Backtested Returns
NMC appears to be extremely risky, given 3 months investment horizon. NMC retains Efficiency (Sharpe Ratio) of 0.18, which conveys that digital coin had a 0.18% return per unit of risk over the last 3 months. By examining NMC's technical indicators, you can evaluate if the expected return of 0.98% is justified by implied risk. Please exercise NMC's Mean Deviation of 3.8, semi deviation of 4.02, and Market Risk Adjusted Performance of 0.7091 to check out if our risk estimates are consistent with your expectations. The crypto owns a Beta (Systematic Risk) of 1.32, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, NMC will likely underperform.
Auto-correlation | 0.36 |
Below average predictability
NMC has below average predictability. Overlapping area represents the amount of predictability between NMC time series from 20th of January 2023 to 15th of January 2024 and 15th of January 2024 to 9th of January 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 NMC price movement. The serial correlation of 0.36 indicates that just about 36.0% of current NMC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
NMC lagged returns against current returns
Autocorrelation, which is NMC 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 NMC's crypto coin expected returns. We can calculate the autocorrelation of NMC returns to help us make a trade decision. For example, suppose you find that NMC 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 |
NMC 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 NMC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NMC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NMC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
NMC Lagged Returns
When evaluating NMC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NMC crypto coin have on its future price. NMC 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, NMC autocorrelation shows the relationship between NMC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in NMC.
Regressed Prices |
| Timeline |
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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.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Check out NMC Correlation, NMC Volatility and Investing Opportunities module to complement your research on NMC. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
NMC 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.