Media Technologies Stock Technical Analysis
| MDTC Stock | USD 0.14 0.07 111.16% |
As of the 26th of January, Media Technologies secures the Risk Adjusted Performance of 0.1384, downside deviation of 33.1, and Mean Deviation of 17.73. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Media Technologies, as well as the relationship between them.
Media 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 Media, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MediaMedia |
Media 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 Media 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 Media Technologies.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Media Technologies on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Media Technologies or generate 0.0% return on investment in Media Technologies over 90 days. Media Technologies is related to or competes with Xy Labs. Media Technologies, Inc., a full service paper converting company, manufactures and sells custom folding cartons primari... More
Media 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 Media 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 Media Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 33.1 | |||
| Information Ratio | 0.1733 | |||
| Maximum Drawdown | 217.91 | |||
| Value At Risk | (31.71) | |||
| Potential Upside | 84.91 |
Media Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Media Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Media Technologies' standard deviation. In reality, there are many statistical measures that can use Media Technologies historical prices to predict the future Media Technologies' volatility.| Risk Adjusted Performance | 0.1384 | |||
| Jensen Alpha | 6.4 | |||
| Total Risk Alpha | 2.84 | |||
| Sortino Ratio | 0.1811 | |||
| Treynor Ratio | (1.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Media 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.
Media Technologies January 26, 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 | 0.1384 | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 17.73 | |||
| Semi Deviation | 12.26 | |||
| Downside Deviation | 33.1 | |||
| Coefficient Of Variation | 569.43 | |||
| Standard Deviation | 34.59 | |||
| Variance | 1196.22 | |||
| Information Ratio | 0.1733 | |||
| Jensen Alpha | 6.4 | |||
| Total Risk Alpha | 2.84 | |||
| Sortino Ratio | 0.1811 | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 217.91 | |||
| Value At Risk | (31.71) | |||
| Potential Upside | 84.91 | |||
| Downside Variance | 1095.79 | |||
| Semi Variance | 150.36 | |||
| Expected Short fall | (71.07) | |||
| Skewness | 2.87 | |||
| Kurtosis | 10.0 |
Media Technologies Backtested Returns
Media Technologies is out of control given 3 months investment horizon. Media Technologies has Sharpe Ratio of 0.18, which conveys that the firm had a 0.18 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 6.47% are justified by taking the suggested risk. Use Media Technologies Mean Deviation of 17.73, risk adjusted performance of 0.1384, and Downside Deviation of 33.1 to evaluate company specific risk that cannot be diversified away. Media Technologies holds a performance score of 14 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -4.89, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Media Technologies are expected to decrease by larger amounts. On the other hand, during market turmoil, Media Technologies is expected to outperform it. Use Media Technologies information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to analyze future returns on Media Technologies.
Auto-correlation | 0.09 |
Virtually no predictability
Media Technologies has virtually no predictability. Overlapping area represents the amount of predictability between Media Technologies time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Media Technologies price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Media Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Media 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.
Media Technologies Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Media Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Media 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 Media 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 Media Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Media Technologies price pattern first instead of the macroeconomic environment surrounding Media Technologies. By analyzing Media 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 Media 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 Media Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Media Technologies January 26, 2026 Technical Indicators
Most technical analysis of Media 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 Media from various momentum indicators to cycle indicators. When you analyze Media 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 | 0.1384 | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 17.73 | |||
| Semi Deviation | 12.26 | |||
| Downside Deviation | 33.1 | |||
| Coefficient Of Variation | 569.43 | |||
| Standard Deviation | 34.59 | |||
| Variance | 1196.22 | |||
| Information Ratio | 0.1733 | |||
| Jensen Alpha | 6.4 | |||
| Total Risk Alpha | 2.84 | |||
| Sortino Ratio | 0.1811 | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 217.91 | |||
| Value At Risk | (31.71) | |||
| Potential Upside | 84.91 | |||
| Downside Variance | 1095.79 | |||
| Semi Variance | 150.36 | |||
| Expected Short fall | (71.07) | |||
| Skewness | 2.87 | |||
| Kurtosis | 10.0 |
Media Technologies January 26, 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 Media 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 2.11 | ||
| Day Median Price | 0.14 | ||
| Day Typical Price | 0.14 | ||
| Price Action Indicator | 0.04 |
Complementary Tools for Media Pink Sheet analysis
When running Media Technologies' price analysis, check to measure Media 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 Media Technologies is operating at the current time. Most of Media Technologies' value examination focuses on studying past and present price action to predict the probability of Media Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Media Technologies' price. Additionally, you may evaluate how the addition of Media Technologies to your portfolios can decrease your overall portfolio volatility.
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