Qomolangma Acquisition Stock Forecast - Polynomial Regression
| QOMOU Stock | USD 11.31 0.00 0.00% |
The Polynomial Regression forecasted value of Qomolangma Acquisition Corp on the next trading day is expected to be 11.19 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.84. Qomolangma Stock Forecast is based on your current time horizon.
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Qomolangma Acquisition Polynomial Regression Price Forecast For the 26th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Qomolangma Acquisition Corp on the next trading day is expected to be 11.19 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.84.Please note that although there have been many attempts to predict Qomolangma 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 Qomolangma Acquisition's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Qomolangma Acquisition Stock Forecast Pattern
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Qomolangma Acquisition Forecasted Value
In the context of forecasting Qomolangma Acquisition'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. Qomolangma Acquisition's downside and upside margins for the forecasting period are 10.24 and 12.15, respectively. We have considered Qomolangma Acquisition'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 Qomolangma Acquisition stock data series using in forecasting. Note that when a statistical model is used to represent Qomolangma Acquisition 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 | 113.9384 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0958 |
| MAPE | Mean absolute percentage error | 0.0081 |
| SAE | Sum of the absolute errors | 5.8424 |
Predictive Modules for Qomolangma Acquisition
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Qomolangma Acquisition. 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 Qomolangma Acquisition
For every potential investor in Qomolangma, whether a beginner or expert, Qomolangma Acquisition's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Qomolangma Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Qomolangma. Basic forecasting techniques help filter out the noise by identifying Qomolangma Acquisition's price trends.Qomolangma Acquisition 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 Qomolangma Acquisition stock to make a market-neutral strategy. Peer analysis of Qomolangma Acquisition could also be used in its relative valuation, which is a method of valuing Qomolangma Acquisition by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Qomolangma Acquisition 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 Qomolangma Acquisition'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 Qomolangma Acquisition's current price.| Cycle Indicators | ||
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Qomolangma Acquisition Market Strength Events
Market strength indicators help investors to evaluate how Qomolangma Acquisition stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Qomolangma Acquisition shares will generate the highest return on investment. By undertsting and applying Qomolangma Acquisition stock market strength indicators, traders can identify Qomolangma Acquisition Corp entry and exit signals to maximize returns.
Qomolangma Acquisition Risk Indicators
The analysis of Qomolangma Acquisition'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 Qomolangma Acquisition's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qomolangma 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 | 0.4727 | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.75 |
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.
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Additional Tools for Qomolangma Stock Analysis
When running Qomolangma Acquisition's price analysis, check to measure Qomolangma Acquisition'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 Qomolangma Acquisition is operating at the current time. Most of Qomolangma Acquisition's value examination focuses on studying past and present price action to predict the probability of Qomolangma Acquisition's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qomolangma Acquisition's price. Additionally, you may evaluate how the addition of Qomolangma Acquisition to your portfolios can decrease your overall portfolio volatility.