The Hash Stock Technical Analysis
| REZNF Stock | USD 0.0003 0.00 0.00% |
As of the 26th of December, Hash retains the Market Risk Adjusted Performance of (1.99), standard deviation of 13.49, and Risk Adjusted Performance of (0.12). Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of The Hash, as well as the relationship between them. Please check out Hash coefficient of variation and maximum drawdown to decide if Hash is priced fairly, providing market reflects its last-minute price of 3.0E-4 per share. As Hash appears to be a penny stock we also urge to confirm its information ratio numbers.
Hash Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hash, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HashHash |
Hash 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.
Hash Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. The Normalized Average True Range is used to analyze tradable apportunities for Hash across different markets.
Hash Trend Analysis
Use this graph to draw trend lines for The Hash. You can use it to identify possible trend reversals for Hash as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Hash price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hash Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Hash applied against its price change over selected period. The best fit line has a slop of 0.0001 , which may suggest that The Hash market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Hash price change compared to its average price change.About Hash 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 The Hash 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 The Hash based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hash price pattern first instead of the macroeconomic environment surrounding Hash. By analyzing Hash'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 Hash'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 Hash specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hash December 26, 2025 Technical Indicators
Most technical analysis of Hash 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 Hash from various momentum indicators to cycle indicators. When you analyze Hash 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 | (0.12) | |||
| Market Risk Adjusted Performance | (1.99) | |||
| Mean Deviation | 4.65 | |||
| Coefficient Of Variation | (561.67) | |||
| Standard Deviation | 13.49 | |||
| Variance | 181.91 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (2.50) | |||
| Total Risk Alpha | (3.76) | |||
| Treynor Ratio | (2.00) | |||
| Maximum Drawdown | 80.0 | |||
| Skewness | (5.53) | |||
| Kurtosis | 29.61 |
Hash December 26, 2025 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 Hash 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Hash Pink Sheet analysis
When running Hash's price analysis, check to measure Hash's 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 Hash is operating at the current time. Most of Hash's value examination focuses on studying past and present price action to predict the probability of Hash's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hash's price. Additionally, you may evaluate how the addition of Hash to your portfolios can decrease your overall portfolio volatility.
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