APPC Market Value
| APPC Crypto | USD 0.0009 0.00001 1.14% |
| Symbol | APPC |
APPC '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 APPC'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 APPC.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in APPC on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding APPC or generate 0.0% return on investment in APPC over 90 days. APPC is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. APPC is peer-to-peer digital currency powered by the Blockchain technology.
APPC 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 APPC'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 APPC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.67 | |||
| Information Ratio | 0.1075 | |||
| Maximum Drawdown | 35.12 | |||
| Value At Risk | (6.02) | |||
| Potential Upside | 8.62 |
APPC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for APPC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as APPC's standard deviation. In reality, there are many statistical measures that can use APPC historical prices to predict the future APPC's volatility.| Risk Adjusted Performance | 0.1094 | |||
| Jensen Alpha | 0.5924 | |||
| Total Risk Alpha | (0.21) | |||
| Sortino Ratio | 0.1075 | |||
| Treynor Ratio | 0.6494 |
APPC Backtested Returns
APPC appears to be unusually risky, given 3 months investment horizon. APPC secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that digital coin had a 0.14% return per unit of risk over the last 3 months. By analyzing APPC's technical indicators, you can evaluate if the expected return of 0.8% is justified by implied risk. Please makes use of APPC's mean deviation of 3.09, and Risk Adjusted Performance of 0.1094 to double-check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 1.14, which signifies a somewhat significant risk relative to the market. APPC returns are very sensitive to returns on the market. As the market goes up or down, APPC is expected to follow.
Auto-correlation | 0.47 |
Average predictability
APPC has average predictability. Overlapping area represents the amount of predictability between APPC time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th 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 APPC price movement. The serial correlation of 0.47 indicates that about 47.0% of current APPC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
APPC lagged returns against current returns
Autocorrelation, which is APPC 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 APPC's crypto coin expected returns. We can calculate the autocorrelation of APPC returns to help us make a trade decision. For example, suppose you find that APPC 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 |
APPC 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 APPC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if APPC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in APPC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
APPC Lagged Returns
When evaluating APPC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of APPC crypto coin have on its future price. APPC 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, APPC autocorrelation shows the relationship between APPC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in APPC.
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 APPC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of APPC'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 Appc Crypto.Check out APPC Correlation, APPC Volatility and Investing Opportunities module to complement your research on APPC. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
APPC 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.