AWE Network Market Value
| AWE Crypto | USD 0.06 0 2.22% |
| Symbol | AWE |
AWE Network '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 AWE Network'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 AWE Network.
| 12/03/2025 |
| 01/02/2026 |
If you would invest 0.00 in AWE Network on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding AWE Network or generate 0.0% return on investment in AWE Network over 30 days. AWE Network is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. AWE Network is peer-to-peer digital currency powered by the Blockchain technology.
AWE Network 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 AWE Network'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 AWE Network upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 22.61 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 8.9 |
AWE Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AWE Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AWE Network's standard deviation. In reality, there are many statistical measures that can use AWE Network historical prices to predict the future AWE Network's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (1.28) | |||
| Treynor Ratio | (1.05) |
AWE Network Backtested Returns
AWE Network secures Sharpe Ratio (or Efficiency) of -0.16, which signifies that digital coin had a -0.16 % return per unit of risk over the last 3 months. AWE Network exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AWE Network's Standard Deviation of 5.05, mean deviation of 3.72, and Risk Adjusted Performance of (0.12) to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 0.9, which signifies possible diversification benefits within a given portfolio. AWE Network returns are very sensitive to returns on the market. As the market goes up or down, AWE Network is expected to follow.
Auto-correlation | 0.18 |
Very weak predictability
AWE Network has very weak predictability. Overlapping area represents the amount of predictability between AWE Network time series from 3rd of December 2025 to 18th of December 2025 and 18th of December 2025 to 2nd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AWE Network price movement. The serial correlation of 0.18 indicates that over 18.0% of current AWE Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AWE Network lagged returns against current returns
Autocorrelation, which is AWE Network 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 AWE Network's crypto coin expected returns. We can calculate the autocorrelation of AWE Network returns to help us make a trade decision. For example, suppose you find that AWE Network 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 |
AWE Network 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 AWE Network crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AWE Network crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AWE Network crypto coin over time.
Current vs Lagged Prices |
| Timeline |
AWE Network Lagged Returns
When evaluating AWE Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AWE Network crypto coin have on its future price. AWE Network 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, AWE Network autocorrelation shows the relationship between AWE Network crypto coin current value and its past values and can show if there is a momentum factor associated with investing in AWE Network.
Regressed Prices |
| Timeline |
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Check out AWE Network Correlation, AWE Network Volatility and Investing Opportunities module to complement your research on AWE Network. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
AWE Network 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.