KAN Market Value
| KAN Crypto | USD 0.0007 0.000005 0.76% |
| Symbol | KAN |
KAN '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 KAN'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 KAN.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in KAN on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding KAN or generate 0.0% return on investment in KAN over 90 days. KAN is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. KAN is peer-to-peer digital currency powered by the Blockchain technology.
KAN 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 KAN'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 KAN upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 21.86 | |||
| Value At Risk | (3.87) | |||
| Potential Upside | 3.04 |
KAN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KAN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KAN's standard deviation. In reality, there are many statistical measures that can use KAN historical prices to predict the future KAN's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | 0.1078 | |||
| Treynor Ratio | (0.29) |
KAN Backtested Returns
KAN has Sharpe Ratio of -0.0917, which conveys that digital coin had a -0.0917 % return per unit of volatility over the last 3 months. KAN exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify KAN's Market Risk Adjusted Performance of (0.28), standard deviation of 2.88, and Mean Deviation of 1.38 to check out the risk estimate we provide. The entity secures a Beta (Market Risk) of 0.88, which conveys possible diversification benefits within a given portfolio. KAN returns are very sensitive to returns on the market. As the market goes up or down, KAN is expected to follow.
Auto-correlation | 0.53 |
Modest predictability
KAN has modest predictability. Overlapping area represents the amount of predictability between KAN time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 KAN price movement. The serial correlation of 0.53 indicates that about 53.0% of current KAN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
KAN lagged returns against current returns
Autocorrelation, which is KAN 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 KAN's crypto coin expected returns. We can calculate the autocorrelation of KAN returns to help us make a trade decision. For example, suppose you find that KAN 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 |
KAN 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 KAN crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KAN crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KAN crypto coin over time.
Current vs Lagged Prices |
| Timeline |
KAN Lagged Returns
When evaluating KAN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KAN crypto coin have on its future price. KAN 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, KAN autocorrelation shows the relationship between KAN crypto coin current value and its past values and can show if there is a momentum factor associated with investing in KAN.
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 KAN offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of KAN'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 Kan Crypto.Check out KAN Correlation, KAN Volatility and Investing Opportunities module to complement your research on KAN. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
KAN 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.