D Box Technologies Stock Technical Analysis
| DBOXF Stock | USD 0.65 0.02 3.17% |
As of the 10th of February, D-BOX Technologies owns the Coefficient Of Variation of 405.5, market risk adjusted performance of (5.97), and Downside Deviation of 4.46. D BOX Technologies technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm D BOX Technologies coefficient of variation, as well as the relationship between the treynor ratio and semi variance to decide if D BOX Technologies is priced fairly, providing market reflects its prevailing price of 0.65 per share. As D BOX Technologies is a penny stock we also recommend to verify its total risk alpha numbers.
D-BOX Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as D-BOX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to D-BOXD-BOX |
D-BOX Technologies '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 D-BOX Technologies' 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 D-BOX Technologies.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in D-BOX Technologies on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding D BOX Technologies or generate 0.0% return on investment in D-BOX Technologies over 90 days. D-BOX Technologies is related to or competes with McDonalds, PAX Global, Singapore Post, MKDWELL Tech, Singapore Post, Capricor Therapeutics, and LivePerson. D-BOX Technologies Inc. designs, manufactures, and commercializes motion systems intended for the entertainment and simu... More
D-BOX Technologies 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 D-BOX Technologies' 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 D BOX Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.46 | |||
| Information Ratio | 0.2281 | |||
| Maximum Drawdown | 30.19 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 10.0 |
D-BOX Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for D-BOX Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as D-BOX Technologies' standard deviation. In reality, there are many statistical measures that can use D-BOX Technologies historical prices to predict the future D-BOX Technologies' volatility.| Risk Adjusted Performance | 0.2063 | |||
| Jensen Alpha | 1.32 | |||
| Total Risk Alpha | 0.7161 | |||
| Sortino Ratio | 0.2723 | |||
| Treynor Ratio | (5.98) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of D-BOX Technologies' 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.
D-BOX Technologies February 10, 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 | 0.2063 | |||
| Market Risk Adjusted Performance | (5.97) | |||
| Mean Deviation | 3.77 | |||
| Semi Deviation | 3.21 | |||
| Downside Deviation | 4.46 | |||
| Coefficient Of Variation | 405.5 | |||
| Standard Deviation | 5.32 | |||
| Variance | 28.3 | |||
| Information Ratio | 0.2281 | |||
| Jensen Alpha | 1.32 | |||
| Total Risk Alpha | 0.7161 | |||
| Sortino Ratio | 0.2723 | |||
| Treynor Ratio | (5.98) | |||
| Maximum Drawdown | 30.19 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 10.0 | |||
| Downside Variance | 19.86 | |||
| Semi Variance | 10.33 | |||
| Expected Short fall | (5.32) | |||
| Skewness | 1.01 | |||
| Kurtosis | 1.98 |
D BOX Technologies Backtested Returns
D-BOX Technologies is out of control given 3 months investment horizon. D BOX Technologies retains Efficiency (Sharpe Ratio) of 0.19, which denotes the company had a 0.19 % return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.03% are justified by taking the suggested risk. Use D BOX Technologies Market Risk Adjusted Performance of (5.97), coefficient of variation of 405.5, and Downside Deviation of 4.46 to evaluate company specific risk that cannot be diversified away. D-BOX Technologies holds a performance score of 15 on a scale of zero to a hundred. The firm owns a Beta (Systematic Risk) of -0.22, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning D-BOX Technologies are expected to decrease at a much lower rate. During the bear market, D-BOX Technologies is likely to outperform the market. Use D BOX Technologies coefficient of variation, semi variance, period momentum indicator, as well as the relationship between the treynor ratio and daily balance of power , to analyze future returns on D BOX Technologies.
Auto-correlation | -0.04 |
Very weak reverse predictability
D BOX Technologies has very weak reverse predictability. Overlapping area represents the amount of predictability between D-BOX Technologies time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 D BOX Technologies price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current D-BOX Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
D-BOX Technologies technical pink sheet 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, pink sheet market cycles, or different charting patterns.
D BOX Technologies Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for D BOX Technologies across different markets.
About D-BOX Technologies Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of D BOX Technologies on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of D BOX Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on D BOX Technologies price pattern first instead of the macroeconomic environment surrounding D BOX Technologies. By analyzing D-BOX Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of D-BOX Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to D-BOX Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
D-BOX Technologies February 10, 2026 Technical Indicators
Most technical analysis of D-BOX help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for D-BOX from various momentum indicators to cycle indicators. When you analyze D-BOX charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2063 | |||
| Market Risk Adjusted Performance | (5.97) | |||
| Mean Deviation | 3.77 | |||
| Semi Deviation | 3.21 | |||
| Downside Deviation | 4.46 | |||
| Coefficient Of Variation | 405.5 | |||
| Standard Deviation | 5.32 | |||
| Variance | 28.3 | |||
| Information Ratio | 0.2281 | |||
| Jensen Alpha | 1.32 | |||
| Total Risk Alpha | 0.7161 | |||
| Sortino Ratio | 0.2723 | |||
| Treynor Ratio | (5.98) | |||
| Maximum Drawdown | 30.19 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 10.0 | |||
| Downside Variance | 19.86 | |||
| Semi Variance | 10.33 | |||
| Expected Short fall | (5.32) | |||
| Skewness | 1.01 | |||
| Kurtosis | 1.98 |
D-BOX Technologies February 10, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as D-BOX stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 3,164 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 0.64 | ||
| Day Typical Price | 0.64 | ||
| Price Action Indicator | 0.02 |
Complementary Tools for D-BOX Pink Sheet analysis
When running D-BOX Technologies' price analysis, check to measure D-BOX Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy D-BOX Technologies is operating at the current time. Most of D-BOX Technologies' value examination focuses on studying past and present price action to predict the probability of D-BOX Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move D-BOX Technologies' price. Additionally, you may evaluate how the addition of D-BOX Technologies to your portfolios can decrease your overall portfolio volatility.
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