PT Sigma Stock Forward View - Polynomial Regression
| SICO Stock | 128.00 3.00 2.29% |
SICO Stock outlook is based on your current time horizon.
As of now, the value of RSI of PT Sigma's share price is approaching 41. This usually implies that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling PT Sigma, making its price go up or down. Momentum 41
Sell Extended
Oversold | Overbought |
Using PT Sigma hype-based prediction, you can estimate the value of PT Sigma Energy from the perspective of PT Sigma response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of PT Sigma Energy on the next trading day is expected to be 124.76 with a mean absolute deviation of 4.15 and the sum of the absolute errors of 257.06. PT Sigma after-hype prediction price | IDR 128.0 |
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.
SICO |
PT Sigma Additional Predictive Modules
Most predictive techniques to examine SICO price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SICO using various technical indicators. When you analyze SICO 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 |
PT Sigma Polynomial Regression Price Forecast For the 28th of February
Given 90 days horizon, the Polynomial Regression forecasted value of PT Sigma Energy on the next trading day is expected to be 124.76 with a mean absolute deviation of 4.15, mean absolute percentage error of 21.01, and the sum of the absolute errors of 257.06.Please note that although there have been many attempts to predict SICO 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 PT Sigma's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PT Sigma Stock Forecast Pattern
| Backtest PT Sigma | PT Sigma Price Prediction | Research Analysis |
PT Sigma Forecasted Value
In the context of forecasting PT Sigma'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. PT Sigma's downside and upside margins for the forecasting period are 122.80 and 126.73, respectively. We have considered PT Sigma'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 PT Sigma stock data series using in forecasting. Note that when a statistical model is used to represent PT Sigma 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 | 122.9932 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 4.1461 |
| MAPE | Mean absolute percentage error | 0.0323 |
| SAE | Sum of the absolute errors | 257.0566 |
Predictive Modules for PT Sigma
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PT Sigma Energy. 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.PT Sigma After-Hype Price Density Analysis
As far as predicting the price of PT Sigma 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 PT Sigma 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 PT Sigma, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PT Sigma Estimiated After-Hype Price Volatility
In the context of predicting PT Sigma's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PT Sigma's historical news coverage. PT Sigma's after-hype downside and upside margins for the prediction period are 126.04 and 129.96, respectively. We have considered PT Sigma'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
PT Sigma is very steady at this time. Analysis and calculation of next after-hype price of PT Sigma Energy is based on 3 months time horizon.
PT Sigma Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as PT Sigma is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PT Sigma 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 PT Sigma, 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 |
0.06 | 1.96 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
128.00 | 128.00 | 0.00 |
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PT Sigma Hype Timeline
PT Sigma Energy is at this time traded for 128.00on Jakarta Exchange of Indonesia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SICO is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at -0.06%. %. The volatility of related hype on PT Sigma is about 0.0%, with the expected price after the next announcement by competition of 128.00. About 70.0% of the company outstanding shares are owned by corporate insiders. The company recorded earning per share (EPS) of 9.49. PT Sigma Energy last dividend was issued on the 7th of December 2022. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of PT Sigma to cross-verify your projections.PT Sigma Related Hype Analysis
Having access to credible news sources related to PT Sigma's direct competition is more important than ever and may enhance your ability to predict PT Sigma's future price movements. Getting to know how PT Sigma'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 PT Sigma may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MBAP | Mitrabara Adiperdana PT | 0.00 | 0 per month | 1.16 | (0.06) | 1.89 | (1.55) | 12.96 | |
| KKGI | Resource Alam Indonesia | 0.00 | 0 per month | 1.44 | (0.03) | 3.43 | (2.27) | 14.49 | |
| MKAP | PT Multikarya Asia | 0.00 | 0 per month | 2.44 | 0.23 | 16.10 | (6.49) | 34.63 | |
| RUIS | Radiant Utama Interinsco | 0.00 | 0 per month | 3.72 | 0.06 | 9.62 | (5.49) | 34.65 | |
| DOID | PT Buma Internasional | 0.00 | 0 per month | 0.00 | (0.07) | 4.79 | (3.57) | 17.91 | |
| UNIQ | Ulima Nitra PT | 0.00 | 0 per month | 0.00 | (0.29) | 3.37 | (14.69) | 18.71 | |
| ARII | Atlas Resources Tbk | 0.00 | 0 per month | 2.78 | 0 | 5.19 | (4.76) | 24.21 | |
| ELSA | Elnusa Tbk | 0.00 | 0 per month | 1.58 | 0.18 | 7.69 | (3.25) | 30.86 |
Other Forecasting Options for PT Sigma
For every potential investor in SICO, whether a beginner or expert, PT Sigma's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SICO Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SICO. Basic forecasting techniques help filter out the noise by identifying PT Sigma's price trends.PT Sigma 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 PT Sigma stock to make a market-neutral strategy. Peer analysis of PT Sigma could also be used in its relative valuation, which is a method of valuing PT Sigma by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PT Sigma Market Strength Events
Market strength indicators help investors to evaluate how PT Sigma stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PT Sigma shares will generate the highest return on investment. By undertsting and applying PT Sigma stock market strength indicators, traders can identify PT Sigma Energy entry and exit signals to maximize returns.
| Accumulation Distribution | 37110.0 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 128.5 | |||
| Day Typical Price | 128.33 | |||
| Price Action Indicator | (2.00) | |||
| Period Momentum Indicator | (3.00) | |||
| Relative Strength Index | 41.15 |
PT Sigma Risk Indicators
The analysis of PT Sigma'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 PT Sigma's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sico 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 | 1.29 | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.58 |
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 PT Sigma
The number of cover stories for PT Sigma depends on current market conditions and PT Sigma's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PT Sigma 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 PT Sigma's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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PT Sigma Short Properties
PT Sigma's future price predictability will typically decrease when PT Sigma's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PT Sigma Energy often depends not only on the future outlook of the potential PT Sigma's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. PT Sigma's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 910 M | |
| Cash And Short Term Investments | 8.9 B | |
| Forward Annual Dividend Rate | 2 |
Other Information on Investing in SICO Stock
PT Sigma financial ratios help investors to determine whether SICO 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 SICO with respect to the benefits of owning PT Sigma security.