Ghandhara Automobile Stock Forecast - Polynomial Regression
GAL Stock | 226.44 23.72 9.48% |
Ghandhara |
Ghandhara Automobile Polynomial Regression Price Forecast For the 27th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Ghandhara Automobile on the next trading day is expected to be 266.43 with a mean absolute deviation of 11.74, mean absolute percentage error of 209.56, and the sum of the absolute errors of 715.94.Please note that although there have been many attempts to predict Ghandhara 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 Ghandhara Automobile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ghandhara Automobile Stock Forecast Pattern
Ghandhara Automobile Forecasted Value
In the context of forecasting Ghandhara Automobile'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. Ghandhara Automobile's downside and upside margins for the forecasting period are 262.75 and 270.12, respectively. We have considered Ghandhara Automobile'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 Ghandhara Automobile stock data series using in forecasting. Note that when a statistical model is used to represent Ghandhara Automobile 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 | 123.4555 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 11.7367 |
MAPE | Mean absolute percentage error | 0.0534 |
SAE | Sum of the absolute errors | 715.9395 |
Predictive Modules for Ghandhara Automobile
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ghandhara Automobile. 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 Ghandhara Automobile
For every potential investor in Ghandhara, whether a beginner or expert, Ghandhara Automobile's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ghandhara Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ghandhara. Basic forecasting techniques help filter out the noise by identifying Ghandhara Automobile's price trends.Ghandhara Automobile 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 Ghandhara Automobile stock to make a market-neutral strategy. Peer analysis of Ghandhara Automobile could also be used in its relative valuation, which is a method of valuing Ghandhara Automobile by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Ghandhara Automobile 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 Ghandhara Automobile'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 Ghandhara Automobile's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Ghandhara Automobile Market Strength Events
Market strength indicators help investors to evaluate how Ghandhara Automobile stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ghandhara Automobile shares will generate the highest return on investment. By undertsting and applying Ghandhara Automobile stock market strength indicators, traders can identify Ghandhara Automobile entry and exit signals to maximize returns.
Accumulation Distribution | 160117.0 | |||
Daily Balance Of Power | (0.93) | |||
Rate Of Daily Change | 0.91 | |||
Day Median Price | 238.2 | |||
Day Typical Price | 234.28 | |||
Price Action Indicator | (23.61) | |||
Period Momentum Indicator | (23.72) |
Ghandhara Automobile Risk Indicators
The analysis of Ghandhara Automobile'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 Ghandhara Automobile's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ghandhara 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 | 3.0 | |||
Standard Deviation | 3.84 | |||
Variance | 14.72 |
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.
Pair Trading with Ghandhara Automobile
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 Ghandhara Automobile 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 Ghandhara Automobile will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Ghandhara Automobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ghandhara Automobile 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 Ghandhara Automobile - 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 Ghandhara Automobile to buy it.
The correlation of Ghandhara Automobile 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 Ghandhara Automobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ghandhara Automobile 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 Ghandhara Automobile 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.Additional Tools for Ghandhara Stock Analysis
When running Ghandhara Automobile's price analysis, check to measure Ghandhara Automobile'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 Ghandhara Automobile is operating at the current time. Most of Ghandhara Automobile's value examination focuses on studying past and present price action to predict the probability of Ghandhara Automobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ghandhara Automobile's price. Additionally, you may evaluate how the addition of Ghandhara Automobile to your portfolios can decrease your overall portfolio volatility.