City Bank Pink Sheet Forecast - Simple Exponential Smoothing
| CTBK Stock | USD 0.0001 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of City Bank on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. City Pink Sheet Forecast is based on your current time horizon.
As of now the relative strength index (rsi) of City Bank's share price is below 20 suggesting that the pink sheet 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 City Bank hype-based prediction, you can estimate the value of City Bank from the perspective of City Bank response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of City Bank on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. City Bank after-hype prediction price | USD 1.0E-4 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
City |
City Bank Additional Predictive Modules
Most predictive techniques to examine City price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for City using various technical indicators. When you analyze City 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 |
City Bank Simple Exponential Smoothing Price Forecast For the 25th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of City Bank on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict City 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 City Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
City Bank Pink Sheet Forecast Pattern
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City Bank Forecasted Value
In the context of forecasting City Bank'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. City Bank's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered City Bank'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of City Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent City Bank 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for City Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as City Bank. 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.City Bank After-Hype Price Prediction Density Analysis
As far as predicting the price of City Bank 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 City Bank 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 Pink Sheet prices, such as prices of City Bank, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
City Bank Estimiated After-Hype Price Volatility
In the context of predicting City Bank's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on City Bank's historical news coverage. City Bank's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered City Bank'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
City Bank is very steady at this time. Analysis and calculation of next after-hype price of City Bank is based on 3 months time horizon.
City Bank Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as City Bank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading City Bank 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 Pink Sheet 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 City Bank, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 3 Events / Month | 0 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0001 | 0.0001 | 0.00 |
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City Bank Hype Timeline
City Bank is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. City 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 currently at 0.0%. %. The volatility of related hype on City Bank is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company has price-to-book (P/B) ratio of 0.04. Some equities with similar Price to Book (P/B) outperform the market in the long run. City Bank recorded a loss per share of 7.58. The entity last dividend was issued on the 30th of December 2008. The firm had 3:2 split on the 26th of December 2006. Given the investment horizon of 90 days the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of City Bank to cross-verify your projections.City Bank Related Hype Analysis
Having access to credible news sources related to City Bank's direct competition is more important than ever and may enhance your ability to predict City Bank's future price movements. Getting to know how City Bank'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 City Bank may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| JPPYY | Jupai Holdings Limited | 0.00 | 0 per month | 0.00 | 0.21 | 33.33 | 0.00 | 4,548 | |
| NLSC | Namliong SkyCosmos | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DKGH | DKG Capital | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GAFL | Great American Financial | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GOOI | Gooi Global | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TMCV | Temecula Valley Bancorp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ITUP | Interups | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SDON | Sandston Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MEIL | Methes Energies International | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 278.57 | |
| YSGG | 1399 Internet Technology | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for City Bank
For every potential investor in City, whether a beginner or expert, City Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. City Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in City. Basic forecasting techniques help filter out the noise by identifying City Bank's price trends.City Bank 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 City Bank pink sheet to make a market-neutral strategy. Peer analysis of City Bank could also be used in its relative valuation, which is a method of valuing City Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
City Bank Market Strength Events
Market strength indicators help investors to evaluate how City Bank 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 City Bank shares will generate the highest return on investment. By undertsting and applying City Bank pink sheet market strength indicators, traders can identify City Bank entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Story Coverage note for City Bank
The number of cover stories for City Bank depends on current market conditions and City Bank's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that City Bank 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 City Bank'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 City Pink Sheet
City Bank financial ratios help investors to determine whether City Pink Sheet 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 City with respect to the benefits of owning City Bank security.