1933 Industries Stock Technical Analysis
TGIFF Stock | USD 0 0 26.92% |
As of the 24th of November, 1933 Industries owns the Market Risk Adjusted Performance of (0.66), variance of 209.8, and Information Ratio of (0.02). In connection with fundamental indicators, the technical analysis model gives you tools to check timely technical drivers of 1933 Industries, as well as the relationship between them. Strictly speaking, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We were able to analyze and collect data for thirteen technical drivers for 1933 Industries, which can be compared to its peers in the sector. Please confirm 1933 Industries standard deviation, as well as the relationship between the treynor ratio and potential upside to decide if 1933 Industries is priced fairly, providing market reflects its prevailing price of 0.0038 per share. As 1933 Industries appears to be a penny stock we also recommend to validate its jensen alpha numbers.
1933 Industries Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 1933, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 19331933 |
1933 Industries technical otc stock 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, otc market cycles, or different charting patterns.
1933 Industries Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 1933 Industries volatility. High ATR values indicate high volatility, and low values indicate low volatility.
1933 Industries Trend Analysis
Use this graph to draw trend lines for 1933 Industries. You can use it to identify possible trend reversals for 1933 Industries 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 1933 Industries price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.1933 Industries Best Fit Change Line
The following chart estimates an ordinary least squares regression model for 1933 Industries applied against its price change over selected period. The best fit line has a slop of 0.0001 , which may suggest that 1933 Industries 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 1933 Industries price change compared to its average price change.About 1933 Industries 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 1933 Industries 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 1933 Industries based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on 1933 Industries price pattern first instead of the macroeconomic environment surrounding 1933 Industries. By analyzing 1933 Industries'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 1933 Industries'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 1933 Industries specific price patterns or momentum indicators. Please read more on our technical analysis page.
1933 Industries November 24, 2024 Technical Indicators
Most technical analysis of 1933 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 1933 from various momentum indicators to cycle indicators. When you analyze 1933 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 | 0.0039 | |||
Market Risk Adjusted Performance | (0.66) | |||
Mean Deviation | 9.46 | |||
Coefficient Of Variation | (13,817) | |||
Standard Deviation | 14.48 | |||
Variance | 209.8 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (2.40) | |||
Treynor Ratio | (0.67) | |||
Maximum Drawdown | 73.27 | |||
Value At Risk | (20.00) | |||
Potential Upside | 22.67 | |||
Skewness | 0.9888 | |||
Kurtosis | 4.93 |
Complementary Tools for 1933 OTC Stock analysis
When running 1933 Industries' price analysis, check to measure 1933 Industries' 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 1933 Industries is operating at the current time. Most of 1933 Industries' value examination focuses on studying past and present price action to predict the probability of 1933 Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 1933 Industries' price. Additionally, you may evaluate how the addition of 1933 Industries to your portfolios can decrease your overall portfolio volatility.
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