Shanghai Electric Pink Sheet Forecast - 20 Period Moving Average
| SIELY Stock | USD 7.63 0.22 2.97% |
The 20 Period Moving Average forecasted value of Shanghai Electric Group on the next trading day is expected to be 7.67 with a mean absolute deviation of 1.05 and the sum of the absolute errors of 43.13. Shanghai Pink Sheet Forecast is based on your current time horizon.
Shanghai |
Shanghai Electric 20 Period Moving Average Price Forecast For the 28th of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of Shanghai Electric Group on the next trading day is expected to be 7.67 with a mean absolute deviation of 1.05, mean absolute percentage error of 2.05, and the sum of the absolute errors of 43.13.Please note that although there have been many attempts to predict Shanghai Pink Sheet 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 Shanghai Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Shanghai Electric Pink Sheet Forecast Pattern
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Shanghai Electric Forecasted Value
In the context of forecasting Shanghai Electric's Pink Sheet 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. Shanghai Electric's downside and upside margins for the forecasting period are 0.08 and 18.82, respectively. We have considered Shanghai Electric'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Shanghai Electric pink sheet data series using in forecasting. Note that when a statistical model is used to represent Shanghai Electric pink sheet, 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 | 82.0697 |
| Bias | Arithmetic mean of the errors | -1.0441 |
| MAD | Mean absolute deviation | 1.0519 |
| MAPE | Mean absolute percentage error | 0.1525 |
| SAE | Sum of the absolute errors | 43.1285 |
Predictive Modules for Shanghai Electric
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shanghai Electric. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Other Forecasting Options for Shanghai Electric
For every potential investor in Shanghai, whether a beginner or expert, Shanghai Electric's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Shanghai Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Shanghai. Basic forecasting techniques help filter out the noise by identifying Shanghai Electric's price trends.Shanghai Electric 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 Shanghai Electric pink sheet to make a market-neutral strategy. Peer analysis of Shanghai Electric could also be used in its relative valuation, which is a method of valuing Shanghai Electric by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Shanghai Electric Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Shanghai Electric'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 Shanghai Electric's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Shanghai Electric Market Strength Events
Market strength indicators help investors to evaluate how Shanghai Electric pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Shanghai Electric shares will generate the highest return on investment. By undertsting and applying Shanghai Electric pink sheet market strength indicators, traders can identify Shanghai Electric Group entry and exit signals to maximize returns.
Shanghai Electric Risk Indicators
The analysis of Shanghai Electric'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 Shanghai Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shanghai pink sheet 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 | 4.98 | |||
| Semi Deviation | 3.56 | |||
| Standard Deviation | 10.98 | |||
| Variance | 120.61 | |||
| Downside Variance | 76.97 | |||
| Semi Variance | 12.65 | |||
| Expected Short fall | (15.18) |
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 Shanghai Pink Sheet Analysis
When running Shanghai Electric's price analysis, check to measure Shanghai Electric'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 Shanghai Electric is operating at the current time. Most of Shanghai Electric's value examination focuses on studying past and present price action to predict the probability of Shanghai Electric's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shanghai Electric's price. Additionally, you may evaluate how the addition of Shanghai Electric to your portfolios can decrease your overall portfolio volatility.