NEO Market Value
| NEO Crypto | USD 17.72 0.58 3.17% |
| Symbol | NEO |
NEO '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 NEO'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 NEO.
| 03/28/2024 |
| 04/27/2024 |
If you would invest 0.00 in NEO on March 28, 2024 and sell it all today you would earn a total of 0.00 from holding NEO or generate 0.0% return on investment in NEO over 30 days. NEO is related to or competes with Staked Ether, Open Network, Chainlink, Ethena, Sui, Celestia, and Arbitrum. NEO is peer-to-peer digital currency powered by the Blockchain technology.
NEO 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 NEO'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 NEO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.75 | |||
| Information Ratio | 0.1337 | |||
| Maximum Drawdown | 36.93 | |||
| Value At Risk | (10.09) | |||
| Potential Upside | 11.1 |
NEO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NEO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NEO's standard deviation. In reality, there are many statistical measures that can use NEO historical prices to predict the future NEO's volatility.| Risk Adjusted Performance | 0.1014 | |||
| Jensen Alpha | 0.8688 | |||
| Total Risk Alpha | 0.1206 | |||
| Sortino Ratio | 0.1431 | |||
| Treynor Ratio | 2.15 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NEO's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
NEO Backtested Returns
NEO appears to be unusually volatile, given 3 months investment horizon. NEO has Sharpe Ratio of 0.15, which conveys that digital coin had a 0.15% return per unit of volatility over the last 3 months. By inspecting NEO's technical indicators, you can evaluate if the expected return of 0.91% is justified by implied risk. Please exercise NEO's mean deviation of 4.17, and Risk Adjusted Performance of 0.1014 to check out if our risk estimates are consistent with your expectations. The crypto secures a Beta (Market Risk) of 0.42, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, NEO's returns are expected to increase less than the market. However, during the bear market, the loss of holding NEO is expected to be smaller as well.
Auto-correlation | -0.26 |
Weak reverse predictability
NEO has weak reverse predictability. Overlapping area represents the amount of predictability between NEO time series from 28th of March 2024 to 12th of April 2024 and 12th of April 2024 to 27th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of NEO price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current NEO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
NEO lagged returns against current returns
Autocorrelation, which is NEO 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 NEO's crypto coin expected returns. We can calculate the autocorrelation of NEO returns to help us make a trade decision. For example, suppose you find that NEO 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 |
NEO 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 NEO crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NEO crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NEO crypto coin over time.
Current vs Lagged Prices |
| Timeline |
NEO Lagged Returns
When evaluating NEO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NEO crypto coin have on its future price. NEO 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, NEO autocorrelation shows the relationship between NEO crypto coin current value and its past values and can show if there is a momentum factor associated with investing in NEO.
Regressed Prices |
| Timeline |
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NEO 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.