Seeing Machines Limited Stock Market Value
| SEEMF Stock | USD 0.06 0.01 17.96% |
| Symbol | Seeing |
Seeing Machines '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 Seeing Machines' 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 Seeing Machines.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in Seeing Machines on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Seeing Machines Limited or generate 0.0% return on investment in Seeing Machines over 30 days. Seeing Machines is related to or competes with Glimpse, Repay Holdings, NetScout Systems, SPS Commerce, International Money, OneSpan, and EverCommerce. Seeing Machines Limited, together with its subsidiaries, provides driver monitoring technologies in Australia, North Ame... More
Seeing Machines 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 Seeing Machines' 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 Seeing Machines Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.81 | |||
| Information Ratio | 0.0012 | |||
| Maximum Drawdown | 27.98 | |||
| Value At Risk | (8.66) | |||
| Potential Upside | 13.12 |
Seeing Machines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Seeing Machines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Seeing Machines' standard deviation. In reality, there are many statistical measures that can use Seeing Machines historical prices to predict the future Seeing Machines' volatility.| Risk Adjusted Performance | 0.0139 | |||
| Jensen Alpha | 0.0198 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.001 | |||
| Treynor Ratio | 0.0668 |
Seeing Machines Backtested Returns
At this point, Seeing Machines is out of control. Seeing Machines owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0062, which indicates the firm had a 0.0062% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Seeing Machines Limited, which you can use to evaluate the volatility of the company. Please validate Seeing Machines' Semi Deviation of 4.6, risk adjusted performance of 0.0139, and Coefficient Of Variation of 15374.2 to confirm if the risk estimate we provide is consistent with the expected return of 0.0386%. The entity has a beta of 0.44, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Seeing Machines' returns are expected to increase less than the market. However, during the bear market, the loss of holding Seeing Machines is expected to be smaller as well. Seeing Machines right now has a risk of 6.19%. Please validate Seeing Machines jensen alpha, semi variance, price action indicator, as well as the relationship between the maximum drawdown and daily balance of power , to decide if Seeing Machines will be following its existing price patterns.
Auto-correlation | 0.61 |
Good predictability
Seeing Machines Limited has good predictability. Overlapping area represents the amount of predictability between Seeing Machines time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st of December 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 Seeing Machines price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Seeing Machines price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Seeing Machines lagged returns against current returns
Autocorrelation, which is Seeing Machines 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 Seeing Machines' pink sheet expected returns. We can calculate the autocorrelation of Seeing Machines returns to help us make a trade decision. For example, suppose you find that Seeing Machines 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 |
Seeing Machines 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 Seeing Machines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Seeing Machines pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Seeing Machines pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Seeing Machines Lagged Returns
When evaluating Seeing Machines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Seeing Machines pink sheet have on its future price. Seeing Machines 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, Seeing Machines autocorrelation shows the relationship between Seeing Machines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Seeing Machines Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Seeing Pink Sheet
Seeing Machines financial ratios help investors to determine whether Seeing Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Seeing with respect to the benefits of owning Seeing Machines security.