SEB SA Pink Sheet Forecast - 20 Period Moving Average

SEBYF Stock  USD 120.68  0.00  0.00%   
The 20 Period Moving Average forecasted value of SEB SA on the next trading day is expected to be 120.68 with a mean absolute deviation of  4.72  and the sum of the absolute errors of 198.40. SEB Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SEB SA stock prices and determine the direction of SEB SA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SEB SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of SEB SA to cross-verify your projections.
  
Most investors in SEB SA 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 SEB SA's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SEB SA's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for SEB SA is based on a synthetically constructed SEB SAdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

SEB SA 20 Period Moving Average Price Forecast For the 30th of March

Given 90 days horizon, the 20 Period Moving Average forecasted value of SEB SA on the next trading day is expected to be 120.68 with a mean absolute deviation of 4.72, mean absolute percentage error of 33.50, and the sum of the absolute errors of 198.40.
Please note that although there have been many attempts to predict SEB 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 SEB SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SEB SA Pink Sheet Forecast Pattern

Backtest SEB SASEB SA Price PredictionBuy or Sell Advice 

SEB SA Forecasted Value

In the context of forecasting SEB SA'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. SEB SA's downside and upside margins for the forecasting period are 118.61 and 122.75, respectively. We have considered SEB SA'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.
Market Value
120.68
118.61
Downside
120.68
Expected Value
122.75
Upside

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 SEB SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent SEB SA 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.
AICAkaike Information Criteria86.7025
BiasArithmetic mean of the errors -2.9049
MADMean absolute deviation4.7238
MAPEMean absolute percentage error0.0395
SAESum of the absolute errors198.4
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. SEB SA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for SEB SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEB SA. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SEB SA'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.
Hype
Prediction
LowEstimatedHigh
118.61120.68122.75
Details
Intrinsic
Valuation
LowRealHigh
113.27115.34132.75
Details
Bollinger
Band Projection (param)
LowMiddleHigh
113.91119.44124.97
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SEB SA. Your research has to be compared to or analyzed against SEB SA's peers to derive any actionable benefits. When done correctly, SEB SA's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SEB SA.

Other Forecasting Options for SEB SA

For every potential investor in SEB, whether a beginner or expert, SEB SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SEB Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SEB. Basic forecasting techniques help filter out the noise by identifying SEB SA's price trends.

SEB SA 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 SEB SA pink sheet to make a market-neutral strategy. Peer analysis of SEB SA could also be used in its relative valuation, which is a method of valuing SEB SA by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SEB SA 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 SEB SA'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 SEB SA's current price.

SEB SA Market Strength Events

Market strength indicators help investors to evaluate how SEB SA 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 SEB SA shares will generate the highest return on investment. By undertsting and applying SEB SA pink sheet market strength indicators, traders can identify SEB SA entry and exit signals to maximize returns.

SEB SA Risk Indicators

The analysis of SEB SA'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 SEB SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seb 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.
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SEB SA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SEB SA's short interest history, or implied volatility extrapolated from SEB SA options trading.

Currently Active Assets on Macroaxis

Check out Historical Fundamental Analysis of SEB SA to cross-verify your projections.
You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

Complementary Tools for SEB Pink Sheet analysis

When running SEB SA's price analysis, check to measure SEB SA'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 SEB SA is operating at the current time. Most of SEB SA's value examination focuses on studying past and present price action to predict the probability of SEB SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SEB SA's price. Additionally, you may evaluate how the addition of SEB SA to your portfolios can decrease your overall portfolio volatility.
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Please note, there is a significant difference between SEB SA's value and its price as these two are different measures arrived at by different means. Investors typically determine if SEB SA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SEB SA'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.