TCT Market Value
| TCT Crypto | USD 0.0002 0.000003 1.35% |
| Symbol | TCT |
TCT '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 TCT'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 TCT.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in TCT on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding TCT or generate 0.0% return on investment in TCT over 90 days. TCT is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. TCT is peer-to-peer digital currency powered by the Blockchain technology.
TCT 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 TCT'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 TCT upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 58.85 | |||
| Value At Risk | (11.33) | |||
| Potential Upside | 7.71 |
TCT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TCT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TCT's standard deviation. In reality, there are many statistical measures that can use TCT historical prices to predict the future TCT's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.96) | |||
| Total Risk Alpha | 0.2138 | |||
| Treynor Ratio | 0.5661 |
TCT Backtested Returns
TCT owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0991, which indicates digital coin had a -0.0991 % return per unit of standard deviation over the last 3 months. TCT exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TCT's Standard Deviation of 8.16, market risk adjusted performance of 0.5761, and Risk Adjusted Performance of (0.08) to confirm the risk estimate we provide. The entity has a beta of -1.43, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning TCT are expected to decrease by larger amounts. On the other hand, during market turmoil, TCT is expected to outperform it.
Auto-correlation | 0.46 |
Average predictability
TCT has average predictability. Overlapping area represents the amount of predictability between TCT 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 TCT price movement. The serial correlation of 0.46 indicates that about 46.0% of current TCT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
TCT lagged returns against current returns
Autocorrelation, which is TCT 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 TCT's crypto coin expected returns. We can calculate the autocorrelation of TCT returns to help us make a trade decision. For example, suppose you find that TCT 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 |
TCT 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 TCT crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TCT crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TCT crypto coin over time.
Current vs Lagged Prices |
| Timeline |
TCT Lagged Returns
When evaluating TCT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TCT crypto coin have on its future price. TCT 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, TCT autocorrelation shows the relationship between TCT crypto coin current value and its past values and can show if there is a momentum factor associated with investing in TCT.
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 TCT offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of TCT'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 Tct Crypto.Check out TCT Correlation, TCT Volatility and Investing Opportunities module to complement your research on TCT. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
TCT 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.