Db Base Metals Etf Market Value
| BDDXF Etf | USD 4.06 0.00 0.00% |
| Symbol | BDDXF |
DB Base '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 DB Base's 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 DB Base.
| 11/19/2025 |
| 01/18/2026 |
If you would invest 0.00 in DB Base on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding DB Base Metals or generate 0.0% return on investment in DB Base over 60 days. DB Base is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, and Diamond Hill. The fund allows investors to take a leveraged view on the performance of the industrial metals sector More
DB Base 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 DB Base's 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 DB Base Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0378 | |||
| Maximum Drawdown | 249.34 |
DB Base Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DB Base's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DB Base's standard deviation. In reality, there are many statistical measures that can use DB Base historical prices to predict the future DB Base's volatility.| Risk Adjusted Performance | 0.0387 | |||
| Jensen Alpha | 0.7163 | |||
| Total Risk Alpha | (2.22) | |||
| Treynor Ratio | 0.2939 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DB Base'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.
DB Base Metals Backtested Returns
DB Base is extremely dangerous given 3 months investment horizon. DB Base Metals retains Efficiency (Sharpe Ratio) of 0.0425, which denotes the etf had a 0.0425 % return per unit of price deviation over the last 3 months. We have analyzed and interpolated seventeen different technical indicators, which can help you to evaluate if expected returns of 1.08% are justified by taking the suggested risk. Use DB Base Metals Market Risk Adjusted Performance of 0.3039, standard deviation of 24.95, and Information Ratio of 0.0378 to evaluate company specific risk that cannot be diversified away. The entity owns a Beta (Systematic Risk) of 3.52, which means 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, DB Base will likely underperform.
Auto-correlation | 0.00 |
No correlation between past and present
DB Base Metals has no correlation between past and present. Overlapping area represents the amount of predictability between DB Base time series from 19th of November 2025 to 19th of December 2025 and 19th of December 2025 to 18th 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 DB Base Metals price movement. The serial correlation of 0.0 indicates that just 0.0% of current DB Base price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DB Base Metals lagged returns against current returns
Autocorrelation, which is DB Base 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 DB Base's pink sheet expected returns. We can calculate the autocorrelation of DB Base returns to help us make a trade decision. For example, suppose you find that DB Base 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 |
DB Base 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 DB Base pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DB Base pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DB Base pink sheet over time.
Current vs Lagged Prices |
| Timeline |
DB Base Lagged Returns
When evaluating DB Base's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DB Base pink sheet have on its future price. DB Base 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, DB Base autocorrelation shows the relationship between DB Base pink sheet current value and its past values and can show if there is a momentum factor associated with investing in DB Base Metals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in BDDXF Pink Sheet
DB Base financial ratios help investors to determine whether BDDXF 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 BDDXF with respect to the benefits of owning DB Base security.