Power Line Stock Forecast - Simple Moving Average
| PLE Stock | THB 0.17 0.01 6.25% |
The Simple Moving Average forecasted value of Power Line Engineering on the next trading day is expected to be 0.17 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.30. Power Stock Forecast is based on your current time horizon.
As of now the value of rsi of Power Line's share price is below 20 indicating 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 Power Line hype-based prediction, you can estimate the value of Power Line Engineering from the perspective of Power Line response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Power Line Engineering on the next trading day is expected to be 0.17 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.30. Power Line after-hype prediction price | THB 0.17 |
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.
Power |
Power Line Additional Predictive Modules
Most predictive techniques to examine Power price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Power using various technical indicators. When you analyze Power 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 |
Power Line Simple Moving Average Price Forecast For the 25th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Power Line Engineering on the next trading day is expected to be 0.17 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000043, and the sum of the absolute errors of 0.30.Please note that although there have been many attempts to predict Power 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 Power Line's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Power Line Stock Forecast Pattern
| Backtest Power Line | Power Line Price Prediction | Buy or Sell Advice |
Power Line Forecasted Value
In the context of forecasting Power Line'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. Power Line's downside and upside margins for the forecasting period are 0 and 4.22, respectively. We have considered Power Line'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 Power Line stock data series using in forecasting. Note that when a statistical model is used to represent Power Line 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 | 106.2066 |
| Bias | Arithmetic mean of the errors | 7.0E-4 |
| MAD | Mean absolute deviation | 0.005 |
| MAPE | Mean absolute percentage error | 0.0292 |
| SAE | Sum of the absolute errors | 0.3 |
Predictive Modules for Power Line
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Power Line Engineering. 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.Power Line After-Hype Price Prediction Density Analysis
As far as predicting the price of Power Line 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 Power Line 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 Power Line, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Power Line Estimiated After-Hype Price Volatility
In the context of predicting Power Line's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Power Line's historical news coverage. Power Line's after-hype downside and upside margins for the prediction period are 0.01 and 4.22, respectively. We have considered Power Line'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Power Line is out of control at this time. Analysis and calculation of next after-hype price of Power Line Engineering is based on 3 months time horizon.
Power Line Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Power Line is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Power Line 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 Power Line, 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 |
0.19 | 4.05 | 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 | ||
0.17 | 0.17 | 0.00 |
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Power Line Hype Timeline
Power Line Engineering is at this time traded for 0.17on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Power 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 -0.19%. %. The volatility of related hype on Power Line is about 0.0%, with the expected price after the next announcement by competition of 0.17. About 29.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.37. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Power Line Engineering last dividend was issued on the 5th of May 2022. The entity had 64:57 split on the 11th of January 2010. Assuming the 90 days trading horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Power Line to cross-verify your projections.Power Line Related Hype Analysis
Having access to credible news sources related to Power Line's direct competition is more important than ever and may enhance your ability to predict Power Line's future price movements. Getting to know how Power Line'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 Power Line may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TAKUNI | Takuni Group Public | 0.00 | 0 per month | 0.00 | (0.09) | 5.71 | (5.41) | 28.15 | |
| TTCL | TTCL Public | 0.00 | 0 per month | 0.00 | (0.13) | 14.29 | (30.16) | 51.96 | |
| AMR | AMR Asia Public | 0.00 | 0 per month | 0.00 | (0.11) | 2.56 | (6.67) | 26.38 | |
| IND | Index International Group | 0.00 | 0 per month | 1.29 | 0.17 | 5.71 | (2.56) | 27.02 | |
| RT | Right Tunnelling Public | 0.00 | 0 per month | 0.00 | (0.03) | 4.17 | (4.00) | 15.41 | |
| TPOLY | Thai Polycons Public | 0.00 | 0 per month | 0.00 | (0.11) | 7.41 | (7.89) | 44.72 | |
| PPP | Premier Products Public | 0.00 | 0 per month | 0.00 | (0.25) | 4.44 | (6.19) | 12.69 | |
| EMC | EMC Public | 0.00 | 0 per month | 13.24 | 0.05 | 50.00 | (33.33) | 83.33 | |
| PROS | Prosper Engineering Public | 0.00 | 0 per month | 3.80 | 0.0009 | 7.50 | (5.88) | 44.85 | |
| TMC | TMC Industrial Public | 0.00 | 0 per month | 0.00 | (0.12) | 1.43 | (2.70) | 9.69 |
Other Forecasting Options for Power Line
For every potential investor in Power, whether a beginner or expert, Power Line's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Power Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Power. Basic forecasting techniques help filter out the noise by identifying Power Line's price trends.Power Line 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 Power Line stock to make a market-neutral strategy. Peer analysis of Power Line could also be used in its relative valuation, which is a method of valuing Power Line by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Power Line Market Strength Events
Market strength indicators help investors to evaluate how Power Line stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Power Line shares will generate the highest return on investment. By undertsting and applying Power Line stock market strength indicators, traders can identify Power Line Engineering entry and exit signals to maximize returns.
| Accumulation Distribution | 101729.0 | |||
| Daily Balance Of Power | 1.0 | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 0.17 | |||
| Day Typical Price | 0.17 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.01 |
Power Line Risk Indicators
The analysis of Power Line'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 Power Line's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting power 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 | 2.71 | |||
| Standard Deviation | 4.05 | |||
| Variance | 16.42 |
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 Power Line
The number of cover stories for Power Line depends on current market conditions and Power Line's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Power Line 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 Power Line'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 Power Stock
Power Line financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Line security.