T Rowe Price Etf Market Value
| TNXT Etf | 23.40 0.37 1.56% |
| Symbol | TNXT |
T Rowe '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 T Rowe's etf 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 T Rowe.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in T Rowe on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding T Rowe Price or generate 0.0% return on investment in T Rowe over 90 days.
T Rowe 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 T Rowe's etf 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 T Rowe Price upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.48) | |||
| Maximum Drawdown | 1.37 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 0.9792 |
T Rowe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for T Rowe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as T Rowe's standard deviation. In reality, there are many statistical measures that can use T Rowe historical prices to predict the future T Rowe's volatility.| Risk Adjusted Performance | (0.34) | |||
| Jensen Alpha | (0.64) | |||
| Total Risk Alpha | (0.70) | |||
| Treynor Ratio | (6.98) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of T Rowe'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.
T Rowe February 6, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.34) | |||
| Market Risk Adjusted Performance | (6.97) | |||
| Mean Deviation | 1.11 | |||
| Coefficient Of Variation | (221.33) | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.9 | |||
| Information Ratio | (0.48) | |||
| Jensen Alpha | (0.64) | |||
| Total Risk Alpha | (0.70) | |||
| Treynor Ratio | (6.98) | |||
| Maximum Drawdown | 1.37 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 0.9792 | |||
| Skewness | 0.1794 | |||
| Kurtosis | (2.57) |
T Rowe Price Backtested Returns
T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.82, which indicates the etf had a -0.82 % return per unit of standard deviation over the last 3 months. T Rowe Price exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate T Rowe's Market Risk Adjusted Performance of (6.97), risk adjusted performance of (0.34), and Standard Deviation of 1.38 to confirm the risk estimate we provide. The entity has a beta of 0.0906, which indicates not very significant fluctuations relative to the market. As returns on the market increase, T Rowe's returns are expected to increase less than the market. However, during the bear market, the loss of holding T Rowe is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
T Rowe Price has no correlation between past and present. Overlapping area represents the amount of predictability between T Rowe time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 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 T Rowe Price price movement. The serial correlation of 0.0 indicates that just 0.0% of current T Rowe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |