Tron Inc Stock Market Value
| TRON Stock | USD 1.50 0.05 3.45% |
| Symbol | Tron |
Tron Inc Price To Book Ratio
Is Leisure Products space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Tron. If investors know Tron will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Tron listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.24) | Revenue Per Share | Quarterly Revenue Growth 0.083 | Return On Assets | Return On Equity |
The market value of Tron Inc is measured differently than its book value, which is the value of Tron that is recorded on the company's balance sheet. Investors also form their own opinion of Tron's value that differs from its market value or its book value, called intrinsic value, which is Tron's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Tron's market value can be influenced by many factors that don't directly affect Tron's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Tron's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tron is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tron's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Tron '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 Tron's 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 Tron.
| 11/25/2025 |
| 12/25/2025 |
If you would invest 0.00 in Tron on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding Tron Inc or generate 0.0% return on investment in Tron over 30 days. Tron is related to or competes with American Outdoor, Aureus Greenway, Intergroup, Unifi, Chanson International, Red Robin, and QVC. The company was incorporated in 2021 and is based in Palo Alto, California More
Tron 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 Tron's 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 Tron Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 47.02 | |||
| Value At Risk | (10.51) | |||
| Potential Upside | 11.44 |
Tron Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tron's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tron's standard deviation. In reality, there are many statistical measures that can use Tron historical prices to predict the future Tron's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.81) | |||
| Total Risk Alpha | (1.32) | |||
| Treynor Ratio | (0.21) |
Tron Inc Backtested Returns
Tron Inc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0311, which indicates the firm had a -0.0311 % return per unit of risk over the last 3 months. Tron Inc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tron's Risk Adjusted Performance of (0.04), coefficient of variation of (1,341), and Variance of 69.04 to confirm the risk estimate we provide. The entity has a beta of 3.02, 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, Tron will likely underperform. At this point, Tron Inc has a negative expected return of -0.26%. Please make sure to validate Tron's total risk alpha, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Tron Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Tron Inc has insignificant reverse predictability. Overlapping area represents the amount of predictability between Tron time series from 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th 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 Tron Inc price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Tron price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Tron Inc lagged returns against current returns
Autocorrelation, which is Tron 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 Tron's stock expected returns. We can calculate the autocorrelation of Tron returns to help us make a trade decision. For example, suppose you find that Tron has exhibited high autocorrelation historically, and you observe that the 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 |
Tron 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 Tron stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tron stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tron stock over time.
Current vs Lagged Prices |
| Timeline |
Tron Lagged Returns
When evaluating Tron's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tron stock have on its future price. Tron 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, Tron autocorrelation shows the relationship between Tron stock current value and its past values and can show if there is a momentum factor associated with investing in Tron Inc.
Regressed Prices |
| Timeline |
Pair Trading with Tron
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Tron position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Tron will appreciate offsetting losses from the drop in the long position's value.Moving together with Tron Stock
Moving against Tron Stock
| 0.75 | HAS | Hasbro Inc | PairCorr |
| 0.71 | ESCA | Escalade Incorporated | PairCorr |
| 0.58 | MAT | Mattel Inc | PairCorr |
| 0.52 | BC | Brunswick | PairCorr |
| 0.5 | 000017 | China Bicycle | PairCorr |
The ability to find closely correlated positions to Tron could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tron when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Tron - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Tron Inc to buy it.
The correlation of Tron is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Tron moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tron Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Tron can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Tron Correlation, Tron Volatility and Tron Alpha and Beta module to complement your research on Tron. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Tron technical stock 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, stock market cycles, or different charting patterns.