Highstreet Market Value
HIGH Crypto | USD 1.55 0.10 6.90% |
Symbol | Highstreet |
Highstreet '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 Highstreet'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 Highstreet.
02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in Highstreet on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding Highstreet or generate 0.0% return on investment in Highstreet over 270 days. Highstreet is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and Avalanche. Highstreet is peer-to-peer digital currency powered by the Blockchain technology.
Highstreet 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 Highstreet'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 Highstreet upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 5.67 | |||
Information Ratio | (0.02) | |||
Maximum Drawdown | 20.01 | |||
Value At Risk | (6.77) | |||
Potential Upside | 6.9 |
Highstreet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Highstreet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Highstreet's standard deviation. In reality, there are many statistical measures that can use Highstreet historical prices to predict the future Highstreet's volatility.Risk Adjusted Performance | 0.016 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.71) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.0664 |
Highstreet Backtested Returns
Highstreet appears to be very risky, given 3 months investment horizon. Highstreet holds Efficiency (Sharpe) Ratio of 0.0795, which attests that digital coin had a 0.0795% return per unit of risk over the last 3 months. We have found thirty technical indicators for Highstreet, which you can use to evaluate the volatility of coin. Please utilize Highstreet's Downside Deviation of 5.67, risk adjusted performance of 0.016, and Market Risk Adjusted Performance of 0.0764 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 0.56, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Highstreet's returns are expected to increase less than the market. However, during the bear market, the loss of holding Highstreet is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
Highstreet has good predictability. Overlapping area represents the amount of predictability between Highstreet time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 Highstreet price movement. The serial correlation of 0.78 indicates that around 78.0% of current Highstreet price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.78 | |
Spearman Rank Test | 0.64 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
Highstreet lagged returns against current returns
Autocorrelation, which is Highstreet 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 Highstreet's crypto coin expected returns. We can calculate the autocorrelation of Highstreet returns to help us make a trade decision. For example, suppose you find that Highstreet 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 |
Highstreet 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 Highstreet crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Highstreet crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Highstreet crypto coin over time.
Current vs Lagged Prices |
Timeline |
Highstreet Lagged Returns
When evaluating Highstreet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Highstreet crypto coin have on its future price. Highstreet 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, Highstreet autocorrelation shows the relationship between Highstreet crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Highstreet.
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 Highstreet offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Highstreet'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 Highstreet Crypto.Check out Highstreet Correlation, Highstreet Volatility and Investing Opportunities module to complement your research on Highstreet. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Highstreet 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.