Symbotic Stock Market Value
| SYM Stock | USD 39.02 2.75 7.58% |
| Symbol | Symbotic |
Symbotic Price To Book Ratio
Is Industrial Machinery & Supplies & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Symbotic. If investors know Symbotic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Symbotic listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.08) | Revenue Per Share 18.861 | Quarterly Revenue Growth 0.577 | Return On Assets (0.05) | Return On Equity (0.57) |
The market value of Symbotic is measured differently than its book value, which is the value of Symbotic that is recorded on the company's balance sheet. Investors also form their own opinion of Symbotic's value that differs from its market value or its book value, called intrinsic value, which is Symbotic's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Symbotic's market value can be influenced by many factors that don't directly affect Symbotic's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Symbotic's value and its price as these two are different measures arrived at by different means. Investors typically determine if Symbotic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Symbotic's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Symbotic '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 Symbotic's stock 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 Symbotic.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Symbotic on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Symbotic or generate 0.0% return on investment in Symbotic over 30 days. Symbotic Inc., an automation technology company, provides robotics and technology to improve efficiency for retailers an... More
Symbotic 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 Symbotic's stock 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 Symbotic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.65 | |||
| Information Ratio | 0.1053 | |||
| Maximum Drawdown | 34.63 | |||
| Value At Risk | (6.95) | |||
| Potential Upside | 8.8 |
Symbotic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Symbotic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Symbotic's standard deviation. In reality, there are many statistical measures that can use Symbotic historical prices to predict the future Symbotic's volatility.| Risk Adjusted Performance | 0.103 | |||
| Jensen Alpha | 0.4951 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1352 | |||
| Treynor Ratio | 0.3106 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Symbotic's 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.
Symbotic Backtested Returns
Symbotic appears to be not too volatile, given 3 months investment horizon. Symbotic owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15% return per unit of risk over the last 3 months. By inspecting Symbotic's technical indicators, you can evaluate if the expected return of 0.89% is justified by implied risk. Please review Symbotic's Coefficient Of Variation of 809.03, semi deviation of 3.96, and Risk Adjusted Performance of 0.103 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Symbotic holds a performance score of 11. The entity has a beta of 2.34, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Symbotic will likely underperform. Please check Symbotic's value at risk, as well as the relationship between the kurtosis and market facilitation index , to make a quick decision on whether Symbotic's existing price patterns will revert.
Auto-correlation | 0.43 |
Average predictability
Symbotic has average predictability. Overlapping area represents the amount of predictability between Symbotic time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 Symbotic price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Symbotic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 9.91 |
Symbotic lagged returns against current returns
Autocorrelation, which is Symbotic stock'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 Symbotic's stock expected returns. We can calculate the autocorrelation of Symbotic returns to help us make a trade decision. For example, suppose you find that Symbotic has exhibited high autocorrelation historically, and you observe that the stock 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 |
Symbotic 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 Symbotic stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Symbotic stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Symbotic stock over time.
Current vs Lagged Prices |
| Timeline |
Symbotic Lagged Returns
When evaluating Symbotic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Symbotic stock have on its future price. Symbotic 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, Symbotic autocorrelation shows the relationship between Symbotic stock current value and its past values and can show if there is a momentum factor associated with investing in Symbotic.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Symbotic Correlation, Symbotic Volatility and Symbotic Alpha and Beta module to complement your research on Symbotic. To learn how to invest in Symbotic Stock, please use our How to Invest in Symbotic guide.You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Symbotic technical 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, stock market cycles, or different charting patterns.