DOCK Market Value
| DOCK Crypto | USD 0 0.0009 48.41% |
| Symbol | DOCK |
DOCK '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 DOCK'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 DOCK.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in DOCK on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding DOCK or generate 0.0% return on investment in DOCK over 180 days. DOCK is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. DOCK is peer-to-peer digital currency powered by the Blockchain technology.
DOCK 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 DOCK'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 DOCK upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 10.1 | |||
| Information Ratio | 0.0303 | |||
| Maximum Drawdown | 60.82 | |||
| Value At Risk | (13.47) | |||
| Potential Upside | 30.44 |
DOCK Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DOCK's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DOCK's standard deviation. In reality, there are many statistical measures that can use DOCK historical prices to predict the future DOCK's volatility.| Risk Adjusted Performance | 0.0409 | |||
| Jensen Alpha | 0.7853 | |||
| Total Risk Alpha | (1.59) | |||
| Sortino Ratio | 0.0377 | |||
| Treynor Ratio | (0.23) |
DOCK Backtested Returns
DOCK is abnormally risky given 3 months investment horizon. DOCK retains Efficiency (Sharpe Ratio) of 0.0879, which denotes digital coin had a 0.0879% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.05% are justified by taking the suggested risk. Use DOCK Downside Deviation of 10.1, market risk adjusted performance of (0.22), and Coefficient Of Variation of 2427.01 to evaluate coin specific risk that cannot be diversified away. The crypto owns a Beta (Systematic Risk) of -2.17, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning DOCK are expected to decrease by larger amounts. On the other hand, during market turmoil, DOCK is expected to outperform it.
Auto-correlation | -0.3 |
Weak reverse predictability
DOCK has weak reverse predictability. Overlapping area represents the amount of predictability between DOCK time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 DOCK price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current DOCK price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DOCK lagged returns against current returns
Autocorrelation, which is DOCK 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 DOCK's crypto coin expected returns. We can calculate the autocorrelation of DOCK returns to help us make a trade decision. For example, suppose you find that DOCK 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 |
DOCK 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 DOCK crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DOCK crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DOCK crypto coin over time.
Current vs Lagged Prices |
| Timeline |
DOCK Lagged Returns
When evaluating DOCK's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DOCK crypto coin have on its future price. DOCK 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, DOCK autocorrelation shows the relationship between DOCK crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DOCK.
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 DOCK offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DOCK'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 Dock Crypto.Check out DOCK Correlation, DOCK Volatility and Investing Opportunities module to complement your research on DOCK. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
DOCK 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.