Vicor Stock Forecast - Polynomial Regression
| VICR Stock | USD 136.11 3.36 2.41% |
The Polynomial Regression forecasted value of Vicor on the next trading day is expected to be 150.05 with a mean absolute deviation of 4.77 and the sum of the absolute errors of 291.10. Vicor Stock Forecast is based on your current time horizon. Although Vicor's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Vicor's systematic risk associated with finding meaningful patterns of Vicor fundamentals over time.
As of today the relative strength index (rsi) of Vicor's share price is below 20 . This entails 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 |
Quarterly Earnings Growth 1.461 | EPS Estimate Next Quarter 0.245 | EPS Estimate Current Year 2.2467 | EPS Estimate Next Year 2.1567 | Wall Street Target Price 93.75 |
Using Vicor hype-based prediction, you can estimate the value of Vicor from the perspective of Vicor response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Vicor using Vicor's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Vicor using crowd psychology based on the activity and movement of Vicor's stock price.
Vicor Short Interest
An investor who is long Vicor may also wish to track short interest. As short interest increases, investors should be becoming more worried about Vicor and may potentially protect profits, hedge Vicor with its derivative instruments, or be ready for some potential downside.
200 Day MA 61.2391 | Short Percent 0.0826 | Short Ratio 4 | Shares Short Prior Month 1.1 M | 50 Day MA 98.8682 |
Vicor Hype to Price Pattern
Investor biases related to Vicor's public news can be used to forecast risks associated with an investment in Vicor. The trend in average sentiment can be used to explain how an investor holding Vicor can time the market purely based on public headlines and social activities around Vicor. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Vicor's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Vicor.
Vicor Implied Volatility | 0.96 |
Vicor's implied volatility exposes the market's sentiment of Vicor stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Vicor's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Vicor stock will not fluctuate a lot when Vicor's options are near their expiration.
The Polynomial Regression forecasted value of Vicor on the next trading day is expected to be 150.05 with a mean absolute deviation of 4.77 and the sum of the absolute errors of 291.10. Vicor after-hype prediction price | USD 134.43 |
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 Historical Fundamental Analysis of Vicor to cross-verify your projections. Open Interest Against 2026-04-17 Vicor Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Vicor's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Vicor's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Vicor stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Vicor's open interest, investors have to compare it to Vicor's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Vicor is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Vicor. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Vicor Additional Predictive Modules
Most predictive techniques to examine Vicor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Vicor using various technical indicators. When you analyze Vicor 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vicor Polynomial Regression Price Forecast For the 11th of January 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Vicor on the next trading day is expected to be 150.05 with a mean absolute deviation of 4.77, mean absolute percentage error of 32.99, and the sum of the absolute errors of 291.10.Please note that although there have been many attempts to predict Vicor 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 Vicor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Vicor Stock Forecast Pattern
| Backtest Vicor | Vicor Price Prediction | Buy or Sell Advice |
Vicor Forecasted Value
In the context of forecasting Vicor'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. Vicor's downside and upside margins for the forecasting period are 144.63 and 155.48, respectively. We have considered Vicor'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 Vicor stock data series using in forecasting. Note that when a statistical model is used to represent Vicor 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 | 121.6066 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 4.7722 |
| MAPE | Mean absolute percentage error | 0.0533 |
| SAE | Sum of the absolute errors | 291.1036 |
Predictive Modules for Vicor
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vicor. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vicor's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Vicor
For every potential investor in Vicor, whether a beginner or expert, Vicor's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vicor Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vicor. Basic forecasting techniques help filter out the noise by identifying Vicor's price trends.Vicor 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 Vicor stock to make a market-neutral strategy. Peer analysis of Vicor could also be used in its relative valuation, which is a method of valuing Vicor by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Vicor 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 Vicor'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 Vicor's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vicor Market Strength Events
Market strength indicators help investors to evaluate how Vicor stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vicor shares will generate the highest return on investment. By undertsting and applying Vicor stock market strength indicators, traders can identify Vicor entry and exit signals to maximize returns.
| Accumulation Distribution | 0.071 | |||
| Daily Balance Of Power | (0.34) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 135.86 | |||
| Day Typical Price | 135.94 | |||
| Market Facilitation Index | 10.0 | |||
| Price Action Indicator | (1.43) | |||
| Period Momentum Indicator | (3.36) |
Vicor Risk Indicators
The analysis of Vicor'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 Vicor's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vicor 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 | 3.48 | |||
| Semi Deviation | 2.36 | |||
| Standard Deviation | 5.47 | |||
| Variance | 29.93 | |||
| Downside Variance | 12.71 | |||
| Semi Variance | 5.55 | |||
| Expected Short fall | (4.01) |
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 Vicor
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 Vicor 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 Vicor will appreciate offsetting losses from the drop in the long position's value.Moving together with Vicor Stock
Moving against Vicor Stock
| 0.74 | FLUX | Flux Power Holdings | PairCorr |
| 0.73 | WATT | Energous Tech Boost | PairCorr |
| 0.7 | EGY | Energy Technologies | PairCorr |
| 0.69 | 002670 | Guosheng Financial | PairCorr |
| 0.65 | EFOI | Energy Focu | PairCorr |
The ability to find closely correlated positions to Vicor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vicor 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 Vicor - 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 Vicor to buy it.
The correlation of Vicor 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 Vicor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vicor 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 Vicor 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 Vicor Stock Analysis
When running Vicor's price analysis, check to measure Vicor'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 Vicor is operating at the current time. Most of Vicor's value examination focuses on studying past and present price action to predict the probability of Vicor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vicor's price. Additionally, you may evaluate how the addition of Vicor to your portfolios can decrease your overall portfolio volatility.