APL Market Value
| APL Crypto | USD 0.000054 0.000016 22.86% |
| Symbol | APL |
APL '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 APL'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 APL.
| 02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in APL on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding APL or generate 0.0% return on investment in APL over 270 days. APL is related to or competes with Ethereum, Solana, XRP, Cardano, Sui, Staked Ether, and Toncoin. APL is peer-to-peer digital currency powered by the Blockchain technology.
APL 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 APL'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 APL upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 37.5 | |||
| Value At Risk | (1.43) | |||
| Potential Upside | 1.45 |
APL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for APL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as APL's standard deviation. In reality, there are many statistical measures that can use APL historical prices to predict the future APL's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (1.10) | |||
| Total Risk Alpha | (2.15) | |||
| Treynor Ratio | 1.12 |
APL Backtested Returns
APL secures Sharpe Ratio (or Efficiency) of -0.21, which signifies that digital coin had a -0.21% return per unit of return volatility over the last 3 months. APL exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm APL's Coefficient Of Variation of (477.01), risk adjusted performance of (0.15), and Mean Deviation of 2.31 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.1, which signifies a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning APL are expected to decrease slowly. On the other hand, during market turmoil, APL is expected to outperform it slightly.
Auto-correlation | 0.40 |
Average predictability
APL has average predictability. Overlapping area represents the amount of predictability between APL time series from 29th of February 2024 to 13th of July 2024 and 13th of July 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 APL price movement. The serial correlation of 0.4 indicates that just about 40.0% of current APL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
APL lagged returns against current returns
Autocorrelation, which is APL 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 APL's crypto coin expected returns. We can calculate the autocorrelation of APL returns to help us make a trade decision. For example, suppose you find that APL 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 |
APL 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 APL crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if APL crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in APL crypto coin over time.
Current vs Lagged Prices |
| Timeline |
APL Lagged Returns
When evaluating APL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of APL crypto coin have on its future price. APL 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, APL autocorrelation shows the relationship between APL crypto coin current value and its past values and can show if there is a momentum factor associated with investing in APL.
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 APL offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of APL'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 Apl Crypto.Check out APL Correlation, APL Volatility and Investing Opportunities module to complement your research on APL. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
APL 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.