FIREWEED METALS Stock Forecast - Polynomial Regression
| M0G Stock | 0.88 0.02 2.22% |
The Polynomial Regression forecasted value of FIREWEED METALS P on the next trading day is expected to be 0.87 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.75. FIREWEED Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of FIREWEED METALS's historical fundamentals, such as revenue growth or operating cash flow patterns.
FIREWEED |
FIREWEED METALS Polynomial Regression Price Forecast For the 3rd of December
Given 90 days horizon, the Polynomial Regression forecasted value of FIREWEED METALS P on the next trading day is expected to be 0.87 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.75.Please note that although there have been many attempts to predict FIREWEED 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 FIREWEED METALS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FIREWEED METALS Stock Forecast Pattern
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FIREWEED METALS Forecasted Value
In the context of forecasting FIREWEED METALS'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. FIREWEED METALS's downside and upside margins for the forecasting period are 0.01 and 3.55, respectively. We have considered FIREWEED METALS'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 FIREWEED METALS stock data series using in forecasting. Note that when a statistical model is used to represent FIREWEED METALS 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 | 111.3145 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0286 |
| MAPE | Mean absolute percentage error | 0.0316 |
| SAE | Sum of the absolute errors | 1.7466 |
Predictive Modules for FIREWEED METALS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FIREWEED METALS P. 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 FIREWEED METALS
For every potential investor in FIREWEED, whether a beginner or expert, FIREWEED METALS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FIREWEED Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FIREWEED. Basic forecasting techniques help filter out the noise by identifying FIREWEED METALS's price trends.FIREWEED METALS 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 FIREWEED METALS stock to make a market-neutral strategy. Peer analysis of FIREWEED METALS could also be used in its relative valuation, which is a method of valuing FIREWEED METALS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FIREWEED METALS P 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 FIREWEED METALS'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 FIREWEED METALS's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FIREWEED METALS Market Strength Events
Market strength indicators help investors to evaluate how FIREWEED METALS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FIREWEED METALS shares will generate the highest return on investment. By undertsting and applying FIREWEED METALS stock market strength indicators, traders can identify FIREWEED METALS P entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 0.88 | |||
| Day Typical Price | 0.88 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.02) |
FIREWEED METALS Risk Indicators
The analysis of FIREWEED METALS'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 FIREWEED METALS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fireweed 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 | 2.16 | |||
| Semi Deviation | 2.3 | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.84 | |||
| Downside Variance | 6.65 | |||
| Semi Variance | 5.3 | |||
| Expected Short fall | (2.64) |
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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Other Information on Investing in FIREWEED Stock
FIREWEED METALS financial ratios help investors to determine whether FIREWEED Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in FIREWEED with respect to the benefits of owning FIREWEED METALS security.