CHP Market Value
| CHP Crypto | USD 0.000037 0.000004 12.12% |
| Symbol | CHP |
CHP '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 CHP'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 CHP.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in CHP on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding CHP or generate 0.0% return on investment in CHP over 30 days. CHP is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. CHP is peer-to-peer digital currency powered by the Blockchain technology.
CHP 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 CHP'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 CHP upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 92.03 | |||
| Value At Risk | (5.82) | |||
| Potential Upside | 7.41 |
CHP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CHP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CHP's standard deviation. In reality, there are many statistical measures that can use CHP historical prices to predict the future CHP's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (2.49) | |||
| Treynor Ratio | (0.56) |
CHP Backtested Returns
CHP secures Sharpe Ratio (or Efficiency) of -0.0626, which signifies that digital coin had a -0.0626% return per unit of risk over the last 3 months. CHP exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CHP's mean deviation of 4.31, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 1.33, 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, CHP will likely underperform.
Auto-correlation | 0.87 |
Very good predictability
CHP has very good predictability. Overlapping area represents the amount of predictability between CHP time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 CHP price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current CHP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CHP lagged returns against current returns
Autocorrelation, which is CHP 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 CHP's crypto coin expected returns. We can calculate the autocorrelation of CHP returns to help us make a trade decision. For example, suppose you find that CHP 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 |
CHP 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 CHP crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CHP crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CHP crypto coin over time.
Current vs Lagged Prices |
| Timeline |
CHP Lagged Returns
When evaluating CHP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CHP crypto coin have on its future price. CHP 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, CHP autocorrelation shows the relationship between CHP crypto coin current value and its past values and can show if there is a momentum factor associated with investing in CHP.
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 CHP offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of CHP'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 Chp Crypto.Check out CHP Correlation, CHP Volatility and Investing Opportunities module to complement your research on CHP. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
CHP 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.