API3 Market Value
| API3 Crypto | USD 1.18 0.04 3.28% |
| Symbol | API3 |
API3 '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 API3'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 API3.
| 12/28/2024 |
| 03/28/2025 |
If you would invest 0.00 in API3 on December 28, 2024 and sell it all today you would earn a total of 0.00 from holding API3 or generate 0.0% return on investment in API3 over 90 days. API3 is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. API3 is peer-to-peer digital currency powered by the Blockchain technology.
API3 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 API3'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 API3 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 54.34 | |||
| Value At Risk | (12.31) | |||
| Potential Upside | 9.76 |
API3 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for API3's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as API3's standard deviation. In reality, there are many statistical measures that can use API3 historical prices to predict the future API3's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | 0.0622 | |||
| Treynor Ratio | (0.09) |
API3 Backtested Returns
API3 secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that digital coin had a close to zero % return per unit of return volatility over the last 3 months. API3 exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm API3's Risk Adjusted Performance of (0.01), coefficient of variation of (4,247), and Mean Deviation of 5.66 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 2.6, which signifies 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, API3 will likely underperform.
Auto-correlation | -0.24 |
Weak reverse predictability
API3 has weak reverse predictability. Overlapping area represents the amount of predictability between API3 time series from 28th of December 2024 to 11th of February 2025 and 11th of February 2025 to 28th 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 API3 price movement. The serial correlation of -0.24 indicates that over 24.0% of current API3 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
API3 lagged returns against current returns
Autocorrelation, which is API3 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 API3's crypto coin expected returns. We can calculate the autocorrelation of API3 returns to help us make a trade decision. For example, suppose you find that API3 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 |
API3 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 API3 crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if API3 crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in API3 crypto coin over time.
Current vs Lagged Prices |
| Timeline |
API3 Lagged Returns
When evaluating API3's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of API3 crypto coin have on its future price. API3 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, API3 autocorrelation shows the relationship between API3 crypto coin current value and its past values and can show if there is a momentum factor associated with investing in API3.
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.| ZLAB | Zai Lab | |
| ASLE | AerSale Corp | |
| ATS | AT S Austria |
Check out API3 Correlation, API3 Volatility and Investing Opportunities module to complement your research on API3. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
API3 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.