Ingen Technologies Stock Market Value
Ingen Technologies' market value is the price at which a share of Ingen Technologies trades on a public exchange. It measures the collective expectations of Ingen Technologies investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Ingen Technologies and determine expected loss or profit from investing in Ingen Technologies over a given investment horizon. Check out Ingen Technologies Correlation, Ingen Technologies Volatility and Ingen Technologies Alpha and Beta module to complement your research on Ingen Technologies.
| Symbol | Ingen |
Ingen 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 Ingen 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 Ingen Technologies.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Ingen Technologies on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Ingen Technologies or generate 0.0% return on investment in Ingen Technologies over 30 days. Ingen Technologies is related to or competes with InspireMD, and Thermogenesis Holdings. Ingen Technologies, Inc., a medical device manufacturing company, manufactures medical products for the respiratory indu... More
Ingen 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 Ingen 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 Ingen Technologies upside and downside potential and time the market with a certain degree of confidence.
Ingen Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ingen Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ingen Technologies' standard deviation. In reality, there are many statistical measures that can use Ingen Technologies historical prices to predict the future Ingen Technologies' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ingen 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.
Ingen Technologies Backtested Returns
We have found zero technical indicators for Ingen Technologies, which you can use to evaluate the volatility of the firm. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Ingen Technologies are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Ingen Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between Ingen Technologies time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ingen Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current Ingen Technologies 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 |
Ingen Technologies lagged returns against current returns
Autocorrelation, which is Ingen Technologies 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 Ingen Technologies' pink sheet expected returns. We can calculate the autocorrelation of Ingen Technologies returns to help us make a trade decision. For example, suppose you find that Ingen Technologies 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 |
Ingen Technologies 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 Ingen Technologies pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ingen Technologies pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ingen Technologies pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Ingen Technologies Lagged Returns
When evaluating Ingen Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ingen Technologies pink sheet have on its future price. Ingen Technologies 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, Ingen Technologies autocorrelation shows the relationship between Ingen Technologies pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Ingen Technologies.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ingen Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ingen Technologies' short interest history, or implied volatility extrapolated from Ingen Technologies options trading.
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Try AI Portfolio ArchitectCheck out Ingen Technologies Correlation, Ingen Technologies Volatility and Ingen Technologies Alpha and Beta module to complement your research on Ingen Technologies. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for Ingen Pink Sheet analysis
When running Ingen Technologies' price analysis, check to measure Ingen 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 Ingen Technologies is operating at the current time. Most of Ingen Technologies' value examination focuses on studying past and present price action to predict the probability of Ingen Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ingen Technologies' price. Additionally, you may evaluate how the addition of Ingen Technologies to your portfolios can decrease your overall portfolio volatility.
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Ingen 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.