Tensor Market Value
| TNSR Crypto | USD 0.25 0.02 7.41% |
| Symbol | Tensor |
Tensor '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 Tensor'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 Tensor.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Tensor on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Tensor or generate 0.0% return on investment in Tensor over 90 days. Tensor is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. Tensor is peer-to-peer digital currency powered by the Blockchain technology.
Tensor 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 Tensor'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 Tensor upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 51.36 | |||
| Value At Risk | (10.20) | |||
| Potential Upside | 11.36 |
Tensor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tensor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tensor's standard deviation. In reality, there are many statistical measures that can use Tensor historical prices to predict the future Tensor's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.92) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | (0.77) |
Tensor Backtested Returns
Tensor owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates digital coin had a -0.1 % return per unit of risk over the last 3 months. Tensor exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tensor's Risk Adjusted Performance of (0.10), variance of 70.94, and Coefficient Of Variation of (788.73) to confirm the risk estimate we provide. The entity has a beta of 1.4, 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, Tensor will likely underperform.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Tensor has insignificant reverse predictability. Overlapping area represents the amount of predictability between Tensor time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Tensor price movement. The serial correlation of -0.16 indicates that over 16.0% of current Tensor price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Tensor lagged returns against current returns
Autocorrelation, which is Tensor 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 Tensor's crypto coin expected returns. We can calculate the autocorrelation of Tensor returns to help us make a trade decision. For example, suppose you find that Tensor 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 |
Tensor 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 Tensor crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tensor crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tensor crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Tensor Lagged Returns
When evaluating Tensor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tensor crypto coin have on its future price. Tensor 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, Tensor autocorrelation shows the relationship between Tensor crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Tensor.
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 Tensor offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tensor'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 Tensor Crypto.Check out Tensor Correlation, Tensor Volatility and Investing Opportunities module to complement your research on Tensor. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Tensor 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.