Siebert Financial Stock Forecast - Triple Exponential Smoothing
| SIEB Stock | USD 2.06 0.02 0.96% |
The Triple Exponential Smoothing forecasted value of Siebert Financial Corp on the next trading day is expected to be 2.05 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.57. Siebert Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Siebert Financial stock prices and determine the direction of Siebert Financial Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Siebert Financial's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Siebert Financial's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Siebert Financial's systematic risk associated with finding meaningful patterns of Siebert Financial fundamentals over time.
Check out Historical Fundamental Analysis of Siebert Financial to cross-verify your projections. Siebert |
Open Interest Against 2024-05-17 Siebert Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Siebert Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Siebert Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Siebert Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Siebert Financial's open interest, investors have to compare it to Siebert Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Siebert Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Siebert. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Siebert Financial cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Siebert Financial's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Siebert Financial's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Siebert Financial - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Siebert Financial prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Siebert Financial price movement. However, neither of these exponential smoothing models address any seasonality of Siebert Financial Corp. Siebert Financial Triple Exponential Smoothing Price Forecast For the 25th of April
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Siebert Financial Corp on the next trading day is expected to be 2.05 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.57.Please note that although there have been many attempts to predict Siebert 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 Siebert Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Siebert Financial Stock Forecast Pattern
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Siebert Financial Forecasted Value
In the context of forecasting Siebert Financial'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. Siebert Financial's downside and upside margins for the forecasting period are 0.02 and 4.77, respectively. We have considered Siebert Financial'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Siebert Financial stock data series using in forecasting. Note that when a statistical model is used to represent Siebert Financial 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0072 |
| MAD | Mean absolute deviation | 0.0436 |
| MAPE | Mean absolute percentage error | 0.0234 |
| SAE | Sum of the absolute errors | 2.5738 |
Predictive Modules for Siebert Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siebert Financial Corp. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Siebert Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Siebert Financial
For every potential investor in Siebert, whether a beginner or expert, Siebert Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Siebert Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Siebert. Basic forecasting techniques help filter out the noise by identifying Siebert Financial's price trends.Siebert Financial 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 Siebert Financial stock to make a market-neutral strategy. Peer analysis of Siebert Financial could also be used in its relative valuation, which is a method of valuing Siebert Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Siebert Financial Corp Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Siebert Financial'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 Siebert Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Siebert Financial Market Strength Events
Market strength indicators help investors to evaluate how Siebert Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Siebert Financial shares will generate the highest return on investment. By undertsting and applying Siebert Financial stock market strength indicators, traders can identify Siebert Financial Corp entry and exit signals to maximize returns.
Siebert Financial Risk Indicators
The analysis of Siebert Financial'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 Siebert Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting siebert 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 | 2.08 | |||
| Semi Deviation | 2.32 | |||
| Standard Deviation | 2.71 | |||
| Variance | 7.32 | |||
| Downside Variance | 7.55 | |||
| Semi Variance | 5.37 | |||
| Expected Short fall | (2.51) |
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.
Currently Active Assets on Macroaxis
When determining whether Siebert Financial Corp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Siebert Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Siebert Financial Corp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Siebert Financial Corp Stock:Check out Historical Fundamental Analysis of Siebert Financial to cross-verify your projections. Note that the Siebert Financial Corp information on this page should be used as a complementary analysis to other Siebert Financial's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for Siebert Stock analysis
When running Siebert Financial's price analysis, check to measure Siebert Financial'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 Siebert Financial is operating at the current time. Most of Siebert Financial's value examination focuses on studying past and present price action to predict the probability of Siebert Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siebert Financial's price. Additionally, you may evaluate how the addition of Siebert Financial to your portfolios can decrease your overall portfolio volatility.
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Is Siebert Financial's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Siebert Financial. If investors know Siebert will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Siebert Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.143 | Earnings Share 0.16 | Revenue Per Share 1.85 | Quarterly Revenue Growth 0.266 | Return On Assets 0.0059 |
The market value of Siebert Financial Corp is measured differently than its book value, which is the value of Siebert that is recorded on the company's balance sheet. Investors also form their own opinion of Siebert Financial's value that differs from its market value or its book value, called intrinsic value, which is Siebert Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Siebert Financial's market value can be influenced by many factors that don't directly affect Siebert Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Siebert Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Siebert Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Siebert Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.