Graph Market Value
GRT Crypto | USD 0.29 0.02 7.41% |
Symbol | Graph |
Graph '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 Graph'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 Graph.
10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Graph on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding The Graph or generate 0.0% return on investment in Graph over 30 days. Graph is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. The Graph is peer-to-peer digital currency powered by the Blockchain technology.
Graph 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 Graph'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 The Graph upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 7.19 | |||
Information Ratio | 0.1677 | |||
Maximum Drawdown | 27.55 | |||
Value At Risk | (6.67) | |||
Potential Upside | 9.52 |
Graph Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Graph's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Graph's standard deviation. In reality, there are many statistical measures that can use Graph historical prices to predict the future Graph's volatility.Risk Adjusted Performance | 0.1549 | |||
Jensen Alpha | 1.02 | |||
Total Risk Alpha | 0.132 | |||
Sortino Ratio | 0.1361 | |||
Treynor Ratio | 1.55 |
Graph Backtested Returns
Graph is unusually risky given 3 months investment horizon. Graph holds Efficiency (Sharpe) Ratio of 0.22, which attests that digital coin had a 0.22% return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.29% are justified by taking the suggested risk. Use The Graph Market Risk Adjusted Performance of 1.56, risk adjusted performance of 0.1549, and Downside Deviation of 7.19 to evaluate coin specific risk that cannot be diversified away. The crypto retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Graph's returns are expected to increase less than the market. However, during the bear market, the loss of holding Graph is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
The Graph has good predictability. Overlapping area represents the amount of predictability between Graph time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 Graph price movement. The serial correlation of 0.78 indicates that around 78.0% of current Graph price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.78 | |
Spearman Rank Test | 0.87 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Graph lagged returns against current returns
Autocorrelation, which is Graph 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 Graph's crypto coin expected returns. We can calculate the autocorrelation of Graph returns to help us make a trade decision. For example, suppose you find that Graph 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 |
Graph 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 Graph crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Graph crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Graph crypto coin over time.
Current vs Lagged Prices |
Timeline |
Graph Lagged Returns
When evaluating Graph's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Graph crypto coin have on its future price. Graph 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, Graph autocorrelation shows the relationship between Graph crypto coin current value and its past values and can show if there is a momentum factor associated with investing in The Graph.
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 Graph offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Graph'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 The Graph Crypto.Check out Graph Correlation, Graph Volatility and Investing Opportunities module to complement your research on Graph. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Graph 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.