Q32 Bio Stock Market Value

QTTB Stock   24.55  2.49  9.21%   
Q32 Bio's market value is the price at which a share of Q32 Bio trades on a public exchange. It measures the collective expectations of Q32 Bio investors about its performance. Q32 Bio is trading at 24.55 as of the 25th of November 2024, a 9.21 percent decrease since the beginning of the trading day. The stock's open price was 27.04.
With this module, you can estimate the performance of a buy and hold strategy of Q32 Bio and determine expected loss or profit from investing in Q32 Bio over a given investment horizon. Check out Q32 Bio Correlation, Q32 Bio Volatility and Q32 Bio Alpha and Beta module to complement your research on Q32 Bio.
For information on how to trade Q32 Stock refer to our How to Trade Q32 Stock guide.
Symbol

Q32 Bio 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 Q32 Bio. If investors know Q32 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 Q32 Bio listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(4.50)
Revenue Per Share
(1.24)
The market value of Q32 Bio is measured differently than its book value, which is the value of Q32 that is recorded on the company's balance sheet. Investors also form their own opinion of Q32 Bio's value that differs from its market value or its book value, called intrinsic value, which is Q32 Bio'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 Q32 Bio's market value can be influenced by many factors that don't directly affect Q32 Bio'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 Q32 Bio's value and its price as these two are different measures arrived at by different means. Investors typically determine if Q32 Bio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Q32 Bio'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.

Q32 Bio '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 Q32 Bio'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 Q32 Bio.
0.00
02/29/2024
No Change 0.00  0.0 
In 8 months and 28 days
11/25/2024
0.00
If you would invest  0.00  in Q32 Bio on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding Q32 Bio or generate 0.0% return on investment in Q32 Bio over 270 days. Q32 Bio is related to or competes with Olympic Steel, Duluth Holdings, Citi Trends, ArcelorMittal, Vince Holding, Kaiser Aluminum, and Huadi International. Q32 Bio is entity of United States. It is traded as Stock on NASDAQ exchange. More

Q32 Bio 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 Q32 Bio'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 Q32 Bio upside and downside potential and time the market with a certain degree of confidence.

Q32 Bio Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Q32 Bio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Q32 Bio's standard deviation. In reality, there are many statistical measures that can use Q32 Bio historical prices to predict the future Q32 Bio's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Q32 Bio'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.
Hype
Prediction
LowEstimatedHigh
19.9624.8529.74
Details
Intrinsic
Valuation
LowRealHigh
22.1037.6242.51
Details
Naive
Forecast
LowNextHigh
14.7819.6824.57
Details
6 Analysts
Consensus
LowTargetHigh
70.8077.8086.36
Details

Q32 Bio Backtested Returns

Q32 Bio retains Efficiency (Sharpe Ratio) of -0.11, which implies the company had a -0.11% return per unit of risk over the last 3 months. Q32 Bio exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Q32 Bio's variance of 23.45, and Market Risk Adjusted Performance of (0.57) to confirm the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 1.0, which implies a somewhat significant risk relative to the market. Q32 Bio returns are very sensitive to returns on the market. As the market goes up or down, Q32 Bio is expected to follow. At this point, Q32 Bio has a negative expected return of -0.55%. Please make sure to check Q32 Bio's standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if Q32 Bio performance from the past will be repeated sooner or later.

Auto-correlation

    
  0.37  

Below average predictability

Q32 Bio has below average predictability. Overlapping area represents the amount of predictability between Q32 Bio time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 Q32 Bio price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Q32 Bio price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test-0.04
Residual Average0.0
Price Variance43.92

Q32 Bio lagged returns against current returns

Autocorrelation, which is Q32 Bio 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 Q32 Bio's stock expected returns. We can calculate the autocorrelation of Q32 Bio returns to help us make a trade decision. For example, suppose you find that Q32 Bio 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  

Q32 Bio 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 Q32 Bio stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Q32 Bio stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Q32 Bio stock over time.
   Current vs Lagged Prices   
       Timeline  

Q32 Bio Lagged Returns

When evaluating Q32 Bio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Q32 Bio stock have on its future price. Q32 Bio 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, Q32 Bio autocorrelation shows the relationship between Q32 Bio stock current value and its past values and can show if there is a momentum factor associated with investing in Q32 Bio.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Q32 Bio offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Q32 Bio's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Q32 Bio Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Q32 Bio Stock:
Check out Q32 Bio Correlation, Q32 Bio Volatility and Q32 Bio Alpha and Beta module to complement your research on Q32 Bio.
For information on how to trade Q32 Stock refer to our How to Trade Q32 Stock guide.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Q32 Bio 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.
A focus of Q32 Bio technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Q32 Bio trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...