USARW New Stock Forecast - Polynomial Regression
| USARW Stock | 1.10 0.84 43.30% |
The Polynomial Regression forecasted value of USARW New on the next trading day is expected to be -1.73 with a mean absolute deviation of 2.76 and the sum of the absolute errors of 168.10. USARW Stock Forecast is based on your current time horizon.
At this time the value of rsi of USARW New's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using USARW New hype-based prediction, you can estimate the value of USARW New from the perspective of USARW New response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of USARW New on the next trading day is expected to be -1.73 with a mean absolute deviation of 2.76 and the sum of the absolute errors of 168.10. USARW New after-hype prediction price | $ 1.28 |
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 World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real. USARW New Additional Predictive Modules
Most predictive techniques to examine USARW price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for USARW using various technical indicators. When you analyze USARW 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
USARW New Polynomial Regression Price Forecast For the 17th of January 2026
Given 90 days horizon, the Polynomial Regression forecasted value of USARW New on the next trading day is expected to be -1.73 with a mean absolute deviation of 2.76, mean absolute percentage error of 14.40, and the sum of the absolute errors of 168.10.Please note that although there have been many attempts to predict USARW 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 USARW New's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
USARW New Stock Forecast Pattern
| Backtest USARW New | USARW New Price Prediction | Buy or Sell Advice |
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 USARW New stock data series using in forecasting. Note that when a statistical model is used to represent USARW New 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 | 120.7774 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.7558 |
| MAPE | Mean absolute percentage error | 0.4392 |
| SAE | Sum of the absolute errors | 168.1024 |
Predictive Modules for USARW New
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as USARW New. 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.USARW New 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 USARW New stock to make a market-neutral strategy. Peer analysis of USARW New could also be used in its relative valuation, which is a method of valuing USARW New by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
USARW New Market Strength Events
Market strength indicators help investors to evaluate how USARW New stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading USARW New shares will generate the highest return on investment. By undertsting and applying USARW New stock market strength indicators, traders can identify USARW New entry and exit signals to maximize returns.
USARW New Risk Indicators
The analysis of USARW New'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 USARW New's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting usarw 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 | 15.34 | |||
| Semi Deviation | 18.06 | |||
| Standard Deviation | 23.14 | |||
| Variance | 535.54 | |||
| Downside Variance | 334.65 | |||
| Semi Variance | 326.18 | |||
| Expected Short fall | (20.35) |
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 USARW Stock Analysis
When running USARW New's price analysis, check to measure USARW New'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 USARW New is operating at the current time. Most of USARW New's value examination focuses on studying past and present price action to predict the probability of USARW New's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move USARW New's price. Additionally, you may evaluate how the addition of USARW New to your portfolios can decrease your overall portfolio volatility.