Thermal Energy International Stock Market Value
| TMGEF Stock | USD 0.11 0.01 12.24% |
| Symbol | Thermal |
Thermal Energy '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 Thermal Energy's otc stock 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 Thermal Energy.
| 12/08/2025 |
| 01/07/2026 |
If you would invest 0.00 in Thermal Energy on December 8, 2025 and sell it all today you would earn a total of 0.00 from holding Thermal Energy International or generate 0.0% return on investment in Thermal Energy over 30 days. Thermal Energy is related to or competes with Orbit International, Opt Sciences, China TMK, Questor Technology, and Next10. Thermal Energy International Inc. engages in the development, engineering, and supply of pollution control products, hea... More
Thermal Energy 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 Thermal Energy's otc stock 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 Thermal Energy International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.29 | |||
| Information Ratio | 0.0554 | |||
| Maximum Drawdown | 19.49 | |||
| Value At Risk | (4.26) | |||
| Potential Upside | 5.88 |
Thermal Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thermal Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thermal Energy's standard deviation. In reality, there are many statistical measures that can use Thermal Energy historical prices to predict the future Thermal Energy's volatility.| Risk Adjusted Performance | 0.0676 | |||
| Jensen Alpha | 0.2522 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0618 | |||
| Treynor Ratio | 0.6699 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thermal Energy'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.
Thermal Energy Inter Backtested Returns
Thermal Energy appears to be out of control, given 3 months investment horizon. Thermal Energy Inter owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0688, which indicates the firm had a 0.0688 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Thermal Energy International, which you can use to evaluate the volatility of the company. Please review Thermal Energy's Coefficient Of Variation of 1228.67, semi deviation of 2.26, and Risk Adjusted Performance of 0.0676 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Thermal Energy holds a performance score of 5. The entity has a beta of 0.43, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Thermal Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Thermal Energy is expected to be smaller as well. Please check Thermal Energy's information ratio, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to make a quick decision on whether Thermal Energy's existing price patterns will revert.
Auto-correlation | 0.76 |
Good predictability
Thermal Energy International has good predictability. Overlapping area represents the amount of predictability between Thermal Energy time series from 8th of December 2025 to 23rd of December 2025 and 23rd of December 2025 to 7th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Thermal Energy Inter price movement. The serial correlation of 0.76 indicates that around 76.0% of current Thermal Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Thermal Energy Inter lagged returns against current returns
Autocorrelation, which is Thermal Energy otc stock'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 Thermal Energy's otc stock expected returns. We can calculate the autocorrelation of Thermal Energy returns to help us make a trade decision. For example, suppose you find that Thermal Energy has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Thermal Energy 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 Thermal Energy otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thermal Energy otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thermal Energy otc stock over time.
Current vs Lagged Prices |
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Thermal Energy Lagged Returns
When evaluating Thermal Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thermal Energy otc stock have on its future price. Thermal Energy 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, Thermal Energy autocorrelation shows the relationship between Thermal Energy otc stock current value and its past values and can show if there is a momentum factor associated with investing in Thermal Energy International.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Thermal OTC Stock
Thermal Energy financial ratios help investors to determine whether Thermal OTC Stock 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 Thermal with respect to the benefits of owning Thermal Energy security.