Bank of San Francisco OTC Stock Forecast - Simple Exponential Smoothing
| BSFO Stock | USD 34.11 0.01 0.03% |
Bank OTC Stock outlook is based on your current time horizon.
The value of RSI of Bank of San Francisco's otc stock price is about 60 suggesting that the otc stock is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Bank, making its price go up or down. Momentum 60
Buy Extended
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Bank of San Francisco based on different types of headlines from major news networks to social media. Using Bank of San Francisco hype-based prediction, you can estimate the value of Bank of San from the perspective of Bank of San Francisco response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Bank of San on the next trading day is expected to be 34.12 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.42. Bank of San Francisco after-hype prediction price | USD 34.11 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Bank |
Bank of San Francisco Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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 |
Bank of San Francisco Simple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Bank of San on the next trading day is expected to be 34.12 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.44, and the sum of the absolute errors of 21.42.Please note that although there have been many attempts to predict Bank OTC 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 Bank of San Francisco's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bank of San Francisco OTC Stock Forecast Pattern
| Backtest Bank of San Francisco | Bank of San Francisco Price Prediction | Buy or Sell Advice |
Bank of San Francisco Forecasted Value
In the context of forecasting Bank of San Francisco's OTC 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. Bank of San Francisco's downside and upside margins for the forecasting period are 31.93 and 36.30, respectively. We have considered Bank of San Francisco'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 Bank of San Francisco otc stock data series using in forecasting. Note that when a statistical model is used to represent Bank of San Francisco otc 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 | 115.4563 |
| Bias | Arithmetic mean of the errors | -0.1818 |
| MAD | Mean absolute deviation | 0.357 |
| MAPE | Mean absolute percentage error | 0.011 |
| SAE | Sum of the absolute errors | 21.4224 |
Predictive Modules for Bank of San Francisco
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of San Francisco. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Bank of San Francisco After-Hype Price Density Analysis
As far as predicting the price of Bank of San Francisco 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 Bank of San Francisco 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 OTC Stock prices, such as prices of Bank of San Francisco, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of San Francisco Estimiated After-Hype Price Volatility
In the context of predicting Bank of San Francisco's otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of San Francisco's historical news coverage. Bank of San Francisco's after-hype downside and upside margins for the prediction period are 31.93 and 36.29, respectively. We have considered Bank of San Francisco'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
Bank of San Francisco is very steady at this time. Analysis and calculation of next after-hype price of Bank of San Francisco is based on 3 months time horizon.
Bank of San Francisco OTC Stock Price Outlook Analysis
Have you ever been surprised when a price of a OTC Stock such as Bank of San Francisco is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of San Francisco 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 OTC 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 Bank of San Francisco, 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 |
0.34 | 2.18 | 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 | |
34.11 | 34.11 | 0.00 |
|
Bank of San Francisco Hype Timeline
Bank of San Francisco is currently traded for 34.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Bank 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 0.34%. %. The volatility of related hype on Bank of San Francisco is about 0.0%, with the expected price after the next announcement by competition of 34.11. The company has price-to-book (P/B) ratio of 0.93. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bank of San Francisco had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Bank of San Francisco to cross-verify your projections.Bank of San Francisco Related Hype Analysis
Having access to credible news sources related to Bank of San Francisco's direct competition is more important than ever and may enhance your ability to predict Bank of San Francisco's future price movements. Getting to know how Bank of San Francisco'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 Bank of San Francisco may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KEFI | Keweenaw Financial | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FRSB | First Resource Bank | 0.00 | 0 per month | 0.00 | 0.15 | 2.51 | (0.54) | 5.49 | |
| SVBT | SVB T Corp | 0.00 | 0 per month | 0.00 | 0.17 | 2.42 | (0.42) | 6.00 | |
| FBTT | First Bankers Trustshares | 0.00 | 0 per month | 0.00 | 0.28 | 2.59 | (0.92) | 8.38 | |
| GSBX | Golden State Bancorp | 0.00 | 0 per month | 0.00 | 0.06 | 1.19 | (0.48) | 7.08 | |
| SLRK | Solera National Bancorp | 0.00 | 0 per month | 1.49 | 0.08 | 4.62 | (3.07) | 16.42 | |
| MNMB | Merchants Marine Bancorp | 0.00 | 0 per month | 0.00 | (0.11) | 1.61 | (1.91) | 11.11 | |
| CIWV | Citizens Financial Corp | 0.00 | 0 per month | 1.01 | 0.03 | 1.60 | (1.03) | 5.74 | |
| KSBI | KS Bancorp | 0.00 | 0 per month | 0.06 | 0.11 | 1.31 | (0.88) | 5.19 | |
| BSPA | Ballston Spa Bancorp | 0.00 | 0 per month | 0.00 | (0.10) | 0.46 | (0.46) | 14.71 |
Other Forecasting Options for Bank of San Francisco
For every potential investor in Bank, whether a beginner or expert, Bank of San Francisco's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank of San Francisco's price trends.Bank of San Francisco 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 Bank of San Francisco otc stock to make a market-neutral strategy. Peer analysis of Bank of San Francisco could also be used in its relative valuation, which is a method of valuing Bank of San Francisco by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank of San Francisco Market Strength Events
Market strength indicators help investors to evaluate how Bank of San Francisco otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of San Francisco shares will generate the highest return on investment. By undertsting and applying Bank of San Francisco otc stock market strength indicators, traders can identify Bank of San entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 34.11 | |||
| Day Typical Price | 34.11 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 60.99 |
Bank of San Francisco Risk Indicators
The analysis of Bank of San Francisco'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 Bank of San Francisco's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank otc 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 | 1.15 | |||
| Semi Deviation | 1.26 | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.77 | |||
| Downside Variance | 14.81 | |||
| Semi Variance | 1.59 | |||
| Expected Short fall | (2.46) |
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 Bank of San Francisco
The number of cover stories for Bank of San Francisco depends on current market conditions and Bank of San Francisco's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bank of San Francisco 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 Bank of San Francisco's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in Bank OTC Stock
Bank of San Francisco financial ratios help investors to determine whether Bank OTC 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 Bank with respect to the benefits of owning Bank of San Francisco security.