Cuprum Stock Forward View - Simple Moving Average
| CUPRUM Stock | CLP 155.02 8.38 5.13% |
Cuprum Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Cuprum stock prices and determine the direction of Cuprum's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Cuprum's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of today the value of rsi of Cuprum's share price is below 20 suggesting 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 Cuprum hype-based prediction, you can estimate the value of Cuprum from the perspective of Cuprum response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Cuprum on the next trading day is expected to be 155.02 with a mean absolute deviation of 6.09 and the sum of the absolute errors of 359.51. Cuprum after-hype prediction price | CLP 155.02 |
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.
Cuprum |
Cuprum Additional Predictive Modules
Most predictive techniques to examine Cuprum price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Cuprum using various technical indicators. When you analyze Cuprum 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 |
Cuprum Simple Moving Average Price Forecast For the 15th of February 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Cuprum on the next trading day is expected to be 155.02 with a mean absolute deviation of 6.09, mean absolute percentage error of 92.83, and the sum of the absolute errors of 359.51.Please note that although there have been many attempts to predict Cuprum Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Cuprum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Cuprum Stock Forecast Pattern
| Backtest Cuprum | Cuprum Price Prediction | Research Analysis |
Cuprum Forecasted Value
In the context of forecasting Cuprum'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. Cuprum's downside and upside margins for the forecasting period are 150.59 and 159.45, respectively. We have considered Cuprum'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Cuprum stock data series using in forecasting. Note that when a statistical model is used to represent Cuprum 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 | 118.9655 |
| Bias | Arithmetic mean of the errors | 0.5329 |
| MAD | Mean absolute deviation | 6.0934 |
| MAPE | Mean absolute percentage error | 0.038 |
| SAE | Sum of the absolute errors | 359.51 |
Predictive Modules for Cuprum
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cuprum. 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 Cuprum'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.
Cuprum After-Hype Price Density Analysis
As far as predicting the price of Cuprum at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Cuprum or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Cuprum, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Cuprum Estimiated After-Hype Price Volatility
In the context of predicting Cuprum's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Cuprum's historical news coverage. Cuprum's after-hype downside and upside margins for the prediction period are 150.59 and 159.45, respectively. We have considered Cuprum's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Cuprum is very steady at this time. Analysis and calculation of next after-hype price of Cuprum is based on 3 months time horizon.
Cuprum Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Cuprum is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Cuprum backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Cuprum, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.08 | 4.43 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
155.02 | 155.02 | 0.00 |
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Cuprum Hype Timeline
Cuprum is currently traded for 155.02on Chilean Stock Exchange of Chile. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Cuprum is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.08%. %. The volatility of related hype on Cuprum is about 0.0%, with the expected price after the next announcement by competition of 155.02. About 98.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.75. Some equities with similar Price to Book (P/B) outperform the market in the long run. Cuprum recorded earning per share (EPS) of 5.02. The entity last dividend was issued on the 15th of December 2022. The firm had 34868:49 split on the 6th of January 2015. Assuming the 90 days trading horizon the next projected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Cuprum to cross-verify your projections.Cuprum Related Hype Analysis
Having access to credible news sources related to Cuprum's direct competition is more important than ever and may enhance your ability to predict Cuprum's future price movements. Getting to know how Cuprum's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Cuprum may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BESALCO | Besalco Sa | 0.00 | 0 per month | 1.61 | 0.05 | 2.38 | (2.83) | 7.10 | |
| ANDINA-A | Embotelladora Andina SA | 0.00 | 0 per month | 1.30 | (0.02) | 2.61 | (2.78) | 8.08 | |
| VENTANAS | Puerto Ventana | 0.00 | 0 per month | 0.00 | 0.25 | 4.17 | (0.28) | 5.67 | |
| ENAEX | Enaex SA | 0.00 | 0 per month | 0.00 | 0.24 | 2.20 | 0.00 | 5.24 | |
| BLUMAR | Blumar | 0.00 | 0 per month | 0.00 | 0.32 | 3.56 | (0.09) | 10.28 | |
| MOLLER | Moller Y Perez | 0.00 | 0 per month | 1.10 | 0.19 | 3.18 | (1.79) | 12.31 | |
| CEMARGOSCL | Cementos Argos SA | 0.00 | 0 per month | 0.00 | (0.38) | 0.00 | 0.00 | 1.12 |
Other Forecasting Options for Cuprum
For every potential investor in Cuprum, whether a beginner or expert, Cuprum's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cuprum Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cuprum. Basic forecasting techniques help filter out the noise by identifying Cuprum's price trends.Cuprum 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 Cuprum stock to make a market-neutral strategy. Peer analysis of Cuprum could also be used in its relative valuation, which is a method of valuing Cuprum by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Cuprum Market Strength Events
Market strength indicators help investors to evaluate how Cuprum stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cuprum shares will generate the highest return on investment. By undertsting and applying Cuprum stock market strength indicators, traders can identify Cuprum entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0058 | |||
| Daily Balance Of Power | (9.31) | |||
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 154.57 | |||
| Day Typical Price | 154.72 | |||
| Market Facilitation Index | 0.9 | |||
| Price Action Indicator | (3.74) | |||
| Period Momentum Indicator | (8.38) |
Cuprum Risk Indicators
The analysis of Cuprum'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 Cuprum's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cuprum 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 | 3.04 | |||
| Semi Deviation | 3.83 | |||
| Standard Deviation | 4.53 | |||
| Variance | 20.54 | |||
| Downside Variance | 25.51 | |||
| Semi Variance | 14.71 | |||
| Expected Short fall | (4.02) |
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.
Story Coverage note for Cuprum
The number of cover stories for Cuprum depends on current market conditions and Cuprum's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Cuprum is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Cuprum's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Cuprum Stock
Cuprum financial ratios help investors to determine whether Cuprum 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 Cuprum with respect to the benefits of owning Cuprum security.