The 3d Printing Etf Market Value
| PRNT Etf | USD 23.38 0.50 2.09% |
| Symbol | PRNT |
The market value of 3D Printing is measured differently than its book value, which is the value of PRNT that is recorded on the company's balance sheet. Investors also form their own opinion of 3D Printing's value that differs from its market value or its book value, called intrinsic value, which is 3D Printing'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 3D Printing's market value can be influenced by many factors that don't directly affect 3D Printing'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 3D Printing's value and its price as these two are different measures arrived at by different means. Investors typically determine if 3D Printing is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 3D Printing'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.
3D Printing '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 3D Printing'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 3D Printing.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in 3D Printing on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding The 3D Printing or generate 0.0% return on investment in 3D Printing over 90 days. 3D Printing is related to or competes with ProShares, Goldman Sachs, Innovator ETFs, Allianzim Large, IShares MSCI, AIM ETF, and Nicholas Global. The fund normally invests at least 80 percent of its total assets in securities that are included in the funds benchmark... More
3D Printing 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 3D Printing'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 The 3D Printing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.43 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 2.05 |
3D Printing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 3D Printing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3D Printing's standard deviation. In reality, there are many statistical measures that can use 3D Printing historical prices to predict the future 3D Printing's volatility.| Risk Adjusted Performance | (0.0006) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.02) |
3D Printing January 24, 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 | (0.0006) | |||
| Market Risk Adjusted Performance | (0.01) | |||
| Mean Deviation | 0.8845 | |||
| Coefficient Of Variation | (16,046) | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.45 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.02) | |||
| Maximum Drawdown | 4.43 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 2.05 | |||
| Skewness | (0.31) | |||
| Kurtosis | 0.6452 |
3D Printing Backtested Returns
3D Printing secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the etf had a close to zero % return per unit of volatility over the last 3 months. The 3D Printing exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 3D Printing's risk adjusted performance of (0.0006), and Coefficient Of Variation of (16,046) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.16, which signifies 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, 3D Printing will likely underperform.
Auto-correlation | -0.55 |
Good reverse predictability
The 3D Printing has good reverse predictability. Overlapping area represents the amount of predictability between 3D Printing time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th 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 3D Printing price movement. The serial correlation of -0.55 indicates that about 55.0% of current 3D Printing price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Thematic Opportunities
Explore Investment Opportunities
Check out 3D Printing Correlation, 3D Printing Volatility and 3D Printing Alpha and Beta module to complement your research on 3D Printing. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
3D Printing technical etf 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, etf market cycles, or different charting patterns.