STRAX Market Value
| STRAX Crypto | USD 0.07 0.0009 1.33% |
| Symbol | STRAX |
STRAX '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 STRAX'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 STRAX.
| 12/18/2023 |
| 12/12/2024 |
If you would invest 0.00 in STRAX on December 18, 2023 and sell it all today you would earn a total of 0.00 from holding STRAX or generate 0.0% return on investment in STRAX over 360 days. STRAX is related to or competes with Ethereum, Cardano, Avalanche, Hedera Hashgraph, Near, Internet Computer, and Cronos. STRAX is peer-to-peer digital currency powered by the Blockchain technology.
STRAX 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 STRAX'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 STRAX upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.43 | |||
| Information Ratio | 0.1159 | |||
| Maximum Drawdown | 42.22 | |||
| Value At Risk | (6.52) | |||
| Potential Upside | 7.11 |
STRAX Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for STRAX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as STRAX's standard deviation. In reality, there are many statistical measures that can use STRAX historical prices to predict the future STRAX's volatility.| Risk Adjusted Performance | 0.1089 | |||
| Jensen Alpha | 0.5988 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.1165 | |||
| Treynor Ratio | 0.5775 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of STRAX'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.
STRAX Backtested Returns
STRAX appears to be unusually risky, given 3 months investment horizon. STRAX owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates digital coin had a 0.14% return per unit of standard deviation over the last 3 months. By evaluating STRAX's technical indicators, you can evaluate if the expected return of 0.77% is justified by implied risk. Please review STRAX's risk adjusted performance of 0.1089, and Coefficient Of Variation of 720.69 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.29, which indicates 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, STRAX will likely underperform.
Auto-correlation | 0.60 |
Good predictability
STRAX has good predictability. Overlapping area represents the amount of predictability between STRAX time series from 18th of December 2023 to 15th of June 2024 and 15th of June 2024 to 12th 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 STRAX price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current STRAX price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
STRAX lagged returns against current returns
Autocorrelation, which is STRAX 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 STRAX's crypto coin expected returns. We can calculate the autocorrelation of STRAX returns to help us make a trade decision. For example, suppose you find that STRAX 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 |
STRAX 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 STRAX crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if STRAX crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in STRAX crypto coin over time.
Current vs Lagged Prices |
| Timeline |
STRAX Lagged Returns
When evaluating STRAX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of STRAX crypto coin have on its future price. STRAX 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, STRAX autocorrelation shows the relationship between STRAX crypto coin current value and its past values and can show if there is a momentum factor associated with investing in STRAX.
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 STRAX offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of STRAX'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 Strax Crypto.Check out STRAX Correlation, STRAX Volatility and Investing Opportunities module to complement your research on STRAX. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
STRAX 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.