Blue Jet Stock Forecast - Polynomial Regression
| BLUEJET Stock | 519.40 3.65 0.70% |
The Polynomial Regression forecasted value of Blue Jet Healthcare on the next trading day is expected to be 549.81 with a mean absolute deviation of 16.43 and the sum of the absolute errors of 1,019. Blue Stock Forecast is based on your current time horizon.
Blue |
Blue Jet Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Blue Jet Healthcare on the next trading day is expected to be 549.81 with a mean absolute deviation of 16.43, mean absolute percentage error of 373.82, and the sum of the absolute errors of 1,019.Please note that although there have been many attempts to predict Blue 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 Blue Jet's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Blue Jet Stock Forecast Pattern
| Backtest Blue Jet | Blue Jet Price Prediction | Buy or Sell Advice |
Blue Jet Forecasted Value
In the context of forecasting Blue Jet'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. Blue Jet's downside and upside margins for the forecasting period are 547.19 and 552.44, respectively. We have considered Blue Jet'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Blue Jet stock data series using in forecasting. Note that when a statistical model is used to represent Blue Jet 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 | 125.8721 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 16.4333 |
| MAPE | Mean absolute percentage error | 0.0323 |
| SAE | Sum of the absolute errors | 1018.8621 |
Predictive Modules for Blue Jet
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Jet Healthcare. 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.Other Forecasting Options for Blue Jet
For every potential investor in Blue, whether a beginner or expert, Blue Jet's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Blue Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Blue. Basic forecasting techniques help filter out the noise by identifying Blue Jet's price trends.Blue Jet 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 Blue Jet stock to make a market-neutral strategy. Peer analysis of Blue Jet could also be used in its relative valuation, which is a method of valuing Blue Jet by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Blue Jet Healthcare Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Blue Jet's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Blue Jet's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Blue Jet Market Strength Events
Market strength indicators help investors to evaluate how Blue Jet stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Blue Jet shares will generate the highest return on investment. By undertsting and applying Blue Jet stock market strength indicators, traders can identify Blue Jet Healthcare entry and exit signals to maximize returns.
| Accumulation Distribution | 2656.72 | |||
| Daily Balance Of Power | (0.27) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 522.85 | |||
| Day Typical Price | 521.7 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (5.28) | |||
| Period Momentum Indicator | (3.65) | |||
| Relative Strength Index | 67.5 |
Blue Jet Risk Indicators
The analysis of Blue Jet'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 Blue Jet's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue 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 | 1.99 | |||
| Semi Deviation | 2.24 | |||
| Standard Deviation | 2.64 | |||
| Variance | 6.97 | |||
| Downside Variance | 5.8 | |||
| Semi Variance | 5.0 | |||
| Expected Short fall | (2.32) |
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.
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.Additional Tools for Blue Stock Analysis
When running Blue Jet's price analysis, check to measure Blue Jet'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 Blue Jet is operating at the current time. Most of Blue Jet's value examination focuses on studying past and present price action to predict the probability of Blue Jet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Blue Jet's price. Additionally, you may evaluate how the addition of Blue Jet to your portfolios can decrease your overall portfolio volatility.