Big Tree Stock Forecast - Simple Regression
| DSY Stock | 0.28 0.01 3.70% |
Big Stock outlook is based on your current time horizon.
The relative strength index (RSI) of Big Tree's share price is below 30 at this time suggesting that the stock is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Big Tree Cloud, making its price go up or down. Momentum 29
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 2.121 | Quarterly Revenue Growth (0.17) |
Using Big Tree hype-based prediction, you can estimate the value of Big Tree Cloud from the perspective of Big Tree response to recently generated media hype and the effects of current headlines on its competitors.
Big Relative Strength Index
The Simple Regression forecasted value of Big Tree Cloud on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.01.Big Tree Cloud Hype to Price Pattern
Investor biases related to Big Tree's public news can be used to forecast risks associated with an investment in Big. The trend in average sentiment can be used to explain how an investor holding Big can time the market purely based on public headlines and social activities around Big Tree Cloud. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Big Tree's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Big Tree.
The Simple Regression forecasted value of Big Tree Cloud on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.01. Big Tree after-hype prediction price | USD 0.28 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Big Tree to cross-verify your projections. Big Tree Additional Predictive Modules
Most predictive techniques to examine Big price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Big using various technical indicators. When you analyze Big charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Big Tree Simple Regression Price Forecast For the 27th of January
Given 90 days horizon, the Simple Regression forecasted value of Big Tree Cloud on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.01.Please note that although there have been many attempts to predict Big Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Big Tree's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Big Tree Stock Forecast Pattern
| Backtest Big Tree | Big Tree Price Prediction | Buy or Sell Advice |
Big Tree Forecasted Value
In the context of forecasting Big Tree's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Big Tree's downside and upside margins for the forecasting period are 0 and 4.82, respectively. We have considered Big Tree's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Big Tree stock data series using in forecasting. Note that when a statistical model is used to represent Big Tree stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.6597 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0329 |
| MAPE | Mean absolute percentage error | 0.0933 |
| SAE | Sum of the absolute errors | 2.0057 |
Predictive Modules for Big Tree
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Tree Cloud. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Big Tree After-Hype Price Density Analysis
As far as predicting the price of Big Tree at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Big Tree or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Big Tree, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Big Tree Estimiated After-Hype Price Volatility
In the context of predicting Big Tree's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Big Tree's historical news coverage. Big Tree's after-hype downside and upside margins for the prediction period are 0.01 and 4.86, respectively. We have considered Big Tree's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Big Tree is out of control at this time. Analysis and calculation of next after-hype price of Big Tree Cloud is based on 3 months time horizon.
Big Tree Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Big Tree is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Big Tree backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Big Tree, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
1.41 | 4.62 | 0.01 | 0.19 | 4 Events / Month | 5 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.28 | 0.28 | 0.00 |
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Big Tree Hype Timeline
On the 26th of January Big Tree Cloud is traded for 0.28. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.19. Big is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -1.41%. %. The volatility of related hype on Big Tree is about 3422.22%, with the expected price after the next announcement by competition of 0.09. About 74.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.4. Big Tree Cloud had not issued any dividends in recent years. The entity had 1:1 split on the 7th of June 2024. Considering the 90-day investment horizon the next projected press release will be in about 4 days. Check out Historical Fundamental Analysis of Big Tree to cross-verify your projections.Big Tree Related Hype Analysis
Having access to credible news sources related to Big Tree's direct competition is more important than ever and may enhance your ability to predict Big Tree's future price movements. Getting to know how Big Tree's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Big Tree may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| COOT | Australian Oilseeds Holdings | (0.22) | 19 per month | 0.00 | (0.17) | 8.40 | (10.53) | 30.34 | |
| UG | United Guardian | 0.50 | 19 per month | 0.00 | (0.15) | 2.59 | (3.49) | 10.23 | |
| JZ | Jianzhi Education Technology | (0.01) | 1 per month | 0.00 | (0.25) | 2.08 | (8.04) | 19.43 | |
| BNKK | Bonk Inc | 0.11 | 9 per month | 10.34 | 0.01 | 21.61 | (19.06) | 54.36 | |
| FARM | Farmer Bros Co | (0.17) | 14 per month | 0.00 | (0.08) | 3.97 | (3.90) | 18.04 | |
| BOF | BranchOut Food Common | (0.19) | 6 per month | 3.83 | 0.10 | 9.35 | (7.32) | 41.94 | |
| GROV | Virgin Group Acquisition | 0.20 | 5 per month | 0.00 | (0.03) | 5.26 | (6.02) | 21.04 | |
| RYET | Ruanyun Edai Technology | (0.03) | 7 per month | 5.14 | (0.01) | 13.48 | (10.28) | 35.05 | |
| MTEX | Mannatech Incorporated | 0.34 | 4 per month | 0.00 | (0.05) | 5.11 | (6.51) | 36.78 | |
| IH | Ihuman Inc | (1.88) | 6 per month | 0.00 | (0.23) | 5.19 | (5.26) | 13.22 |
Other Forecasting Options for Big Tree
For every potential investor in Big, whether a beginner or expert, Big Tree's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Big Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Big. Basic forecasting techniques help filter out the noise by identifying Big Tree's price trends.Big Tree Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Big Tree stock to make a market-neutral strategy. Peer analysis of Big Tree could also be used in its relative valuation, which is a method of valuing Big Tree by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Big Tree Market Strength Events
Market strength indicators help investors to evaluate how Big Tree stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Big Tree shares will generate the highest return on investment. By undertsting and applying Big Tree stock market strength indicators, traders can identify Big Tree Cloud entry and exit signals to maximize returns.
Big Tree Risk Indicators
The analysis of Big Tree's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Big Tree's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting big stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 3.52 | |||
| Standard Deviation | 4.72 | |||
| Variance | 22.25 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Big Tree
The number of cover stories for Big Tree depends on current market conditions and Big Tree's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Big Tree is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Big Tree's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Big Tree Short Properties
Big Tree's future price predictability will typically decrease when Big Tree's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Big Tree Cloud often depends not only on the future outlook of the potential Big Tree's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Big Tree's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 81.3 M | |
| Cash And Short Term Investments | 1.7 M |
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.