Big Tree Cloud Stock Market Value

DSYWW Stock   0.04  0  14.92%   
Big Tree's market value is the price at which a share of Big Tree trades on a public exchange. It measures the collective expectations of Big Tree Cloud investors about its performance. Big Tree is selling for under 0.0362 as of the 22nd of November 2024; that is 14.92 percent up since the beginning of the trading day. The stock's lowest day price was 0.0303.
With this module, you can estimate the performance of a buy and hold strategy of Big Tree Cloud and determine expected loss or profit from investing in Big Tree over a given investment horizon. Check out Big Tree Correlation, Big Tree Volatility and Big Tree Alpha and Beta module to complement your research on Big Tree.
Symbol

Big Tree Cloud Price To Book Ratio

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

Big Tree '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 Big Tree'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 Big Tree.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in Big Tree on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Big Tree Cloud or generate 0.0% return on investment in Big Tree over 30 days. Big Tree is related to or competes with Emerson Radio, Joint Stock, Bill, Q2 Holdings, Cadence Design, and VirnetX Holding. Big Tree is entity of United States. It is traded as Stock on NASDAQ exchange. More

Big Tree 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 Big Tree'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 Big Tree Cloud upside and downside potential and time the market with a certain degree of confidence.

Big Tree Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Tree's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Tree's standard deviation. In reality, there are many statistical measures that can use Big Tree historical prices to predict the future Big Tree's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Big Tree'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
0.000.0412.75
Details
Intrinsic
Valuation
LowRealHigh
0.000.0312.74
Details
Naive
Forecast
LowNextHigh
0.00070.0412.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.030.040.05
Details

Big Tree Cloud Backtested Returns

Big Tree appears to be out of control, given 3 months investment horizon. Big Tree Cloud secures Sharpe Ratio (or Efficiency) of 0.0309, which signifies that the company had a 0.0309% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Big Tree Cloud, which you can use to evaluate the volatility of the firm. Please makes use of Big Tree's risk adjusted performance of 0.0599, and Mean Deviation of 10.66 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Big Tree holds a performance score of 2. The firm shows a Beta (market volatility) of -1.3, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Big Tree are expected to decrease by larger amounts. On the other hand, during market turmoil, Big Tree is expected to outperform it. Please check Big Tree's maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to make a quick decision on whether Big Tree's price patterns will revert.

Auto-correlation

    
  -0.11  

Insignificant reverse predictability

Big Tree Cloud has insignificant reverse predictability. Overlapping area represents the amount of predictability between Big Tree 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 Big Tree Cloud price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Big Tree price fluctuation can be explain by its past prices.
Correlation Coefficient-0.11
Spearman Rank Test-0.37
Residual Average0.0
Price Variance0.0

Big Tree Cloud lagged returns against current returns

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

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

Big Tree Lagged Returns

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

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Additional Tools for Big Stock Analysis

When running Big Tree's price analysis, check to measure Big Tree's 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 Big Tree is operating at the current time. Most of Big Tree's value examination focuses on studying past and present price action to predict the probability of Big Tree's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Tree's price. Additionally, you may evaluate how the addition of Big Tree to your portfolios can decrease your overall portfolio volatility.