HT Market Value
| HT Crypto | USD 0.64 0.02 3.23% |
| Symbol | HT |
HT '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 HT'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 HT.
| 09/26/2022 |
| 04/18/2024 |
If you would invest 0.00 in HT on September 26, 2022 and sell it all today you would earn a total of 0.00 from holding HT or generate 0.0% return on investment in HT over 570 days. HT is related to or competes with Solana, XRP, Open Network, Staked Ether, Avalanche, Chainlink, and Ethena. HT is peer-to-peer digital currency powered by the Blockchain technology.
HT 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 HT'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 HT upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 64.35 | |||
| Value At Risk | (14.89) | |||
| Potential Upside | 10.0 |
HT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HT's standard deviation. In reality, there are many statistical measures that can use HT historical prices to predict the future HT's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.46) | |||
| Total Risk Alpha | (2.04) | |||
| Treynor Ratio | (0.81) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HT'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.
HT Backtested Returns
HT holds Efficiency (Sharpe) Ratio of -0.12, which attests that digital coin had a -0.12% return per unit of risk over the last 3 months. HT exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HT's Risk Adjusted Performance of (0.09), market risk adjusted performance of (0.80), and Standard Deviation of 9.09 to validate the risk estimate we provide. The crypto retains a Market Volatility (i.e., Beta) of 1.7, which attests to 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, HT will likely underperform.
Auto-correlation | 0.63 |
Good predictability
HT has good predictability. Overlapping area represents the amount of predictability between HT time series from 26th of September 2022 to 8th of July 2023 and 8th of July 2023 to 18th of April 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 HT price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current HT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
HT lagged returns against current returns
Autocorrelation, which is HT 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 HT's crypto coin expected returns. We can calculate the autocorrelation of HT returns to help us make a trade decision. For example, suppose you find that HT 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 |
HT 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 HT crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HT crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HT crypto coin over time.
Current vs Lagged Prices |
| Timeline |
HT Lagged Returns
When evaluating HT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HT crypto coin have on its future price. HT 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, HT autocorrelation shows the relationship between HT crypto coin current value and its past values and can show if there is a momentum factor associated with investing in HT.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out HT Correlation, HT Volatility and Investing Opportunities module to complement your research on HT. Note that the HT information on this page should be used as a complementary analysis to other HT's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
HT 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.