Alpha Teknova Stock Market Value
| TKNO Stock | USD 7.76 0.23 2.88% |
| Symbol | Alpha |
Alpha Teknova Price To Book Ratio
Is Biotechnology 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 Alpha Teknova. If investors know Alpha 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 Alpha Teknova listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.92) | Revenue Per Share 0.917 | Quarterly Revenue Growth (0.17) | Return On Assets (0.15) | Return On Equity (0.42) |
The market value of Alpha Teknova is measured differently than its book value, which is the value of Alpha that is recorded on the company's balance sheet. Investors also form their own opinion of Alpha Teknova's value that differs from its market value or its book value, called intrinsic value, which is Alpha Teknova'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 Alpha Teknova's market value can be influenced by many factors that don't directly affect Alpha Teknova'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 Alpha Teknova's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alpha Teknova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alpha Teknova'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.
Alpha Teknova '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 Alpha Teknova'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 Alpha Teknova.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Alpha Teknova on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Alpha Teknova or generate 0.0% return on investment in Alpha Teknova over 30 days. Alpha Teknova is related to or competes with Collegium Pharmaceutical, Phibro Animal, ANI Pharmaceuticals, Procaps Group, Regencell Bioscience, Lifecore Biomedical, and Organogenesis Holdings. Alpha Teknova, Inc. provides critical reagents for life sciences market in the United States and internationally More
Alpha Teknova 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 Alpha Teknova'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 Alpha Teknova upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.0 | |||
| Information Ratio | 0.1457 | |||
| Maximum Drawdown | 32.06 | |||
| Value At Risk | (7.43) | |||
| Potential Upside | 12.84 |
Alpha Teknova Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Teknova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Teknova's standard deviation. In reality, there are many statistical measures that can use Alpha Teknova historical prices to predict the future Alpha Teknova's volatility.| Risk Adjusted Performance | 0.1284 | |||
| Jensen Alpha | 0.8344 | |||
| Total Risk Alpha | 0.0338 | |||
| Sortino Ratio | 0.1832 | |||
| Treynor Ratio | 0.6005 |
Alpha Teknova Backtested Returns
Alpha Teknova is unstable given 3 months investment horizon. Alpha Teknova secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of risk over the last 3 months. We were able to interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.1% are justified by taking the suggested risk. Use Alpha Teknova Mean Deviation of 4.63, risk adjusted performance of 0.1284, and Downside Deviation of 5.0 to evaluate company specific risk that cannot be diversified away. Alpha Teknova holds a performance score of 13 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.72, which signifies 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, Alpha Teknova will likely underperform. Use Alpha Teknova potential upside, as well as the relationship between the kurtosis and day typical price , to analyze future returns on Alpha Teknova.
Auto-correlation | 0.27 |
Poor predictability
Alpha Teknova has poor predictability. Overlapping area represents the amount of predictability between Alpha Teknova time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Alpha Teknova price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Alpha Teknova price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Alpha Teknova lagged returns against current returns
Autocorrelation, which is Alpha Teknova 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 Alpha Teknova's stock expected returns. We can calculate the autocorrelation of Alpha Teknova returns to help us make a trade decision. For example, suppose you find that Alpha Teknova 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 |
Alpha Teknova 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 Alpha Teknova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Teknova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Teknova stock over time.
Current vs Lagged Prices |
| Timeline |
Alpha Teknova Lagged Returns
When evaluating Alpha Teknova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Teknova stock have on its future price. Alpha Teknova 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, Alpha Teknova autocorrelation shows the relationship between Alpha Teknova stock current value and its past values and can show if there is a momentum factor associated with investing in Alpha Teknova.
Regressed Prices |
| Timeline |
Pair Trading with Alpha Teknova
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Alpha Teknova position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alpha Teknova will appreciate offsetting losses from the drop in the long position's value.Moving together with Alpha Stock
Moving against Alpha Stock
| 0.78 | MRK | Merck Company Fiscal Year End 6th of February 2025 | PairCorr |
| 0.76 | ERNA | Eterna Therapeutics | PairCorr |
| 0.74 | VALN | Valneva SE ADR | PairCorr |
| 0.72 | PFE | Pfizer Inc Fiscal Year End 4th of February 2025 | PairCorr |
| 0.69 | JNJ | Johnson Johnson Fiscal Year End 28th of January 2025 | PairCorr |
The ability to find closely correlated positions to Alpha Teknova could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alpha Teknova when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Alpha Teknova - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Alpha Teknova to buy it.
The correlation of Alpha Teknova is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Alpha Teknova moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alpha Teknova moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Alpha Teknova can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Alpha Teknova Correlation, Alpha Teknova Volatility and Alpha Teknova Alpha and Beta module to complement your research on Alpha Teknova. To learn how to invest in Alpha Stock, please use our How to Invest in Alpha Teknova guide.You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Alpha Teknova 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.