CHESS Market Value
| CHESS Crypto | USD 0.23 0.01 4.55% |
| Symbol | CHESS |
CHESS '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 CHESS'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 CHESS.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in CHESS on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding CHESS or generate 0.0% return on investment in CHESS over 30 days. CHESS is related to or competes with XRP, Solana, Staked Ether, Toncoin, Worldcoin, Sui, and Stellar. CHESS is peer-to-peer digital currency powered by the Blockchain technology.
CHESS 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 CHESS'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 CHESS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.57 | |||
| Information Ratio | 0.0981 | |||
| Maximum Drawdown | 36.86 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 10.0 |
CHESS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CHESS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CHESS's standard deviation. In reality, there are many statistical measures that can use CHESS historical prices to predict the future CHESS's volatility.| Risk Adjusted Performance | 0.0982 | |||
| Jensen Alpha | 0.7526 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | 0.0678 | |||
| Treynor Ratio | 8.0 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CHESS's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
CHESS Backtested Returns
CHESS appears to be unusually volatile, given 3 months investment horizon. CHESS secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that digital coin had a 0.13% return per unit of risk over the last 3 months. By examining CHESS's technical indicators, you can evaluate if the expected return of 0.88% is justified by implied risk. Please makes use of CHESS's Mean Deviation of 4.95, risk adjusted performance of 0.0982, and Downside Deviation of 9.57 to double-check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 0.0954, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CHESS's returns are expected to increase less than the market. However, during the bear market, the loss of holding CHESS is expected to be smaller as well.
Auto-correlation | 0.64 |
Good predictability
CHESS has good predictability. Overlapping area represents the amount of predictability between CHESS time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 CHESS price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current CHESS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CHESS lagged returns against current returns
Autocorrelation, which is CHESS 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 CHESS's crypto coin expected returns. We can calculate the autocorrelation of CHESS returns to help us make a trade decision. For example, suppose you find that CHESS 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 |
CHESS 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 CHESS crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CHESS crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CHESS crypto coin over time.
Current vs Lagged Prices |
| Timeline |
CHESS Lagged Returns
When evaluating CHESS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CHESS crypto coin have on its future price. CHESS 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, CHESS autocorrelation shows the relationship between CHESS crypto coin current value and its past values and can show if there is a momentum factor associated with investing in CHESS.
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 CHESS offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of CHESS'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 Chess Crypto.Check out CHESS Correlation, CHESS Volatility and Investing Opportunities module to complement your research on CHESS. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
CHESS 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.