Token Communities Stock Market Value
| TKCM Stock | USD 0.02 0.01 49.67% |
| Symbol | Token |
Token Communities '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 Token Communities' pink sheet 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 Token Communities.
| 11/04/2025 |
| 12/04/2025 |
If you would invest 0.00 in Token Communities on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Token Communities or generate 0.0% return on investment in Token Communities over 30 days. Token Communities is related to or competes with X-FAB Silicon, Eastman Chemical, Kestra Medical, Silicon Motion, and Westlake Chemical. Token Communities Ltd., through its subsidiary, TokenCommunities PLC, operates as a Fintech advisory firm More
Token Communities 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 Token Communities' pink sheet 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 Token Communities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 41.2 | |||
| Information Ratio | 0.038 | |||
| Maximum Drawdown | 211.8 | |||
| Value At Risk | (53.57) | |||
| Potential Upside | 91.25 |
Token Communities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Token Communities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Token Communities' standard deviation. In reality, there are many statistical measures that can use Token Communities historical prices to predict the future Token Communities' volatility.| Risk Adjusted Performance | 0.0377 | |||
| Jensen Alpha | 1.99 | |||
| Total Risk Alpha | (2.82) | |||
| Sortino Ratio | 0.037 | |||
| Treynor Ratio | (0.31) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Token Communities' 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.
Token Communities Backtested Returns
Token Communities is out of control given 3 months investment horizon. Token Communities owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0838, which indicates the firm had a 0.0838 % return per unit of risk over the last 3 months. We were able to break down twenty-seven different technical indicators, which can help you to evaluate if expected returns of 3.3% are justified by taking the suggested risk. Use Token Communities Semi Deviation of 25.62, risk adjusted performance of 0.0377, and Coefficient Of Variation of 2491.62 to evaluate company specific risk that cannot be diversified away. Token Communities holds a performance score of 6 on a scale of zero to a hundred. The entity has a beta of -5.13, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Token Communities are expected to decrease by larger amounts. On the other hand, during market turmoil, Token Communities is expected to outperform it. Use Token Communities maximum drawdown, as well as the relationship between the expected short fall and day median price , to analyze future returns on Token Communities.
Auto-correlation | -0.57 |
Good reverse predictability
Token Communities has good reverse predictability. Overlapping area represents the amount of predictability between Token Communities time series from 4th of November 2025 to 19th of November 2025 and 19th of November 2025 to 4th of December 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 Token Communities price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current Token Communities price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Token Communities lagged returns against current returns
Autocorrelation, which is Token Communities pink sheet'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 Token Communities' pink sheet expected returns. We can calculate the autocorrelation of Token Communities returns to help us make a trade decision. For example, suppose you find that Token Communities has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Token Communities 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 Token Communities pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Token Communities pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Token Communities pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Token Communities Lagged Returns
When evaluating Token Communities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Token Communities pink sheet have on its future price. Token Communities 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, Token Communities autocorrelation shows the relationship between Token Communities pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Token Communities.
Regressed Prices |
| Timeline |
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Token Communities financial ratios help investors to determine whether Token Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Token with respect to the benefits of owning Token Communities security.