Polygon Ecosystem Market Value
| POL Crypto | USD 0.57 0.07 14.00% |
| Symbol | Polygon |
Polygon Ecosystem '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 Polygon Ecosystem'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 Polygon Ecosystem.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Polygon Ecosystem on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Polygon Ecosystem Token or generate 0.0% return on investment in Polygon Ecosystem over 30 days. Polygon Ecosystem is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and Avalanche. Polygon Ecosystem Token is peer-to-peer digital currency powered by the Blockchain technology.
Polygon Ecosystem 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 Polygon Ecosystem'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 Polygon Ecosystem Token upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.48 | |||
| Information Ratio | 0.0024 | |||
| Maximum Drawdown | 19.01 | |||
| Value At Risk | (7.32) | |||
| Potential Upside | 11.11 |
Polygon Ecosystem Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Polygon Ecosystem's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Polygon Ecosystem's standard deviation. In reality, there are many statistical measures that can use Polygon Ecosystem historical prices to predict the future Polygon Ecosystem's volatility.| Risk Adjusted Performance | 0.029 | |||
| Jensen Alpha | 0.0063 | |||
| Total Risk Alpha | (0.72) | |||
| Sortino Ratio | 0.002 | |||
| Treynor Ratio | 0.1268 |
Polygon Ecosystem Token Backtested Returns
Polygon Ecosystem appears to be very risky, given 3 months investment horizon. Polygon Ecosystem Token maintains Sharpe Ratio (i.e., Efficiency) of 0.1, which implies digital coin had a 0.1% return per unit of risk over the last 3 months. By analyzing Polygon Ecosystem's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please evaluate Polygon Ecosystem's Risk Adjusted Performance of 0.029, semi deviation of 4.3, and Coefficient Of Variation of 3765.01 to confirm if our risk estimates are consistent with your expectations. The crypto holds a Beta of 1.05, which implies a somewhat significant risk relative to the market. Polygon Ecosystem returns are very sensitive to returns on the market. As the market goes up or down, Polygon Ecosystem is expected to follow.
Auto-correlation | 0.85 |
Very good predictability
Polygon Ecosystem Token has very good predictability. Overlapping area represents the amount of predictability between Polygon Ecosystem time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 Polygon Ecosystem Token price movement. The serial correlation of 0.85 indicates that around 85.0% of current Polygon Ecosystem price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Polygon Ecosystem Token lagged returns against current returns
Autocorrelation, which is Polygon Ecosystem 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 Polygon Ecosystem's crypto coin expected returns. We can calculate the autocorrelation of Polygon Ecosystem returns to help us make a trade decision. For example, suppose you find that Polygon Ecosystem 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 |
Polygon Ecosystem 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 Polygon Ecosystem crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Polygon Ecosystem crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Polygon Ecosystem crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Polygon Ecosystem Lagged Returns
When evaluating Polygon Ecosystem's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Polygon Ecosystem crypto coin have on its future price. Polygon Ecosystem 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, Polygon Ecosystem autocorrelation shows the relationship between Polygon Ecosystem crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Polygon Ecosystem Token.
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 Polygon Ecosystem Token offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Polygon Ecosystem'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 Polygon Ecosystem Token Crypto.Check out Polygon Ecosystem Correlation, Polygon Ecosystem Volatility and Investing Opportunities module to complement your research on Polygon Ecosystem. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Polygon Ecosystem 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.