Starknet Market Value
| STRK Crypto | USD 0.51 0.06 13.33% |
| Symbol | Starknet |
Starknet '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 Starknet'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 Starknet.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in Starknet on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Starknet or generate 0.0% return on investment in Starknet over 30 days. Starknet is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and TRON. Starknet is peer-to-peer digital currency powered by the Blockchain technology.
Starknet 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 Starknet'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 Starknet upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.94 | |||
| Information Ratio | 0.0635 | |||
| Maximum Drawdown | 26.33 | |||
| Value At Risk | (8.51) | |||
| Potential Upside | 10.81 |
Starknet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Starknet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Starknet's standard deviation. In reality, there are many statistical measures that can use Starknet historical prices to predict the future Starknet's volatility.| Risk Adjusted Performance | 0.0689 | |||
| Jensen Alpha | 0.4584 | |||
| Total Risk Alpha | (0.21) | |||
| Sortino Ratio | 0.0532 | |||
| Treynor Ratio | (11.07) |
Starknet Backtested Returns
Starknet appears to be unusually risky, given 3 months investment horizon. Starknet owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0797, which indicates digital coin had a 0.0797% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Starknet, which you can use to evaluate the volatility of coin. Please review Starknet's Semi Deviation of 5.33, risk adjusted performance of 0.0689, and Coefficient Of Variation of 1252.5 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of -0.0411, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Starknet are expected to decrease at a much lower rate. During the bear market, Starknet is likely to outperform the market.
Auto-correlation | -0.01 |
Very weak reverse predictability
Starknet has very weak reverse predictability. Overlapping area represents the amount of predictability between Starknet time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st 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 Starknet price movement. The serial correlation of -0.01 indicates that just 1.0% of current Starknet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Starknet lagged returns against current returns
Autocorrelation, which is Starknet 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 Starknet's crypto coin expected returns. We can calculate the autocorrelation of Starknet returns to help us make a trade decision. For example, suppose you find that Starknet 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 |
Starknet 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 Starknet crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Starknet crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Starknet crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Starknet Lagged Returns
When evaluating Starknet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Starknet crypto coin have on its future price. Starknet 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, Starknet autocorrelation shows the relationship between Starknet crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Starknet.
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 Starknet offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Starknet'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 Starknet Crypto.Check out Starknet Correlation, Starknet Volatility and Investing Opportunities module to complement your research on Starknet. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Starknet 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.