Solvay Bank Pink Sheet Forecast - Simple Exponential Smoothing

SOBS Stock  USD 28.14  0.44  1.54%   
The Simple Exponential Smoothing forecasted value of Solvay Bank Corp on the next trading day is expected to be 28.14 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.92. Solvay Pink Sheet Forecast is based on your current time horizon.
  
Solvay Bank simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Solvay Bank Corp are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Solvay Bank Corp prices get older.

Solvay Bank Simple Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Solvay Bank Corp on the next trading day is expected to be 28.14 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.29, and the sum of the absolute errors of 13.92.
Please note that although there have been many attempts to predict Solvay 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 Solvay Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Solvay Bank Pink Sheet Forecast Pattern

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Solvay Bank Forecasted Value

In the context of forecasting Solvay 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. Solvay Bank's downside and upside margins for the forecasting period are 26.43 and 29.85, respectively. We have considered Solvay 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.
Market Value
28.14
28.14
Expected Value
29.85
Upside

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 Solvay Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent Solvay 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.
AICAkaike Information Criteria115.0182
BiasArithmetic mean of the errors -0.009
MADMean absolute deviation0.232
MAPEMean absolute percentage error0.0078
SAESum of the absolute errors13.92
This simple exponential smoothing model begins by setting Solvay Bank Corp forecast for the second period equal to the observation of the first period. In other words, recent Solvay Bank observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Solvay 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 Solvay Bank Corp. 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.
Hype
Prediction
LowEstimatedHigh
26.4328.1429.85
Details
Intrinsic
Valuation
LowRealHigh
27.4429.1430.86
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.1428.1428.14
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Solvay Bank. Your research has to be compared to or analyzed against Solvay Bank's peers to derive any actionable benefits. When done correctly, Solvay Bank'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 Solvay Bank Corp.

Other Forecasting Options for Solvay Bank

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

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

Solvay Bank Corp 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 Solvay Bank'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 Solvay Bank's current price.

Solvay Bank Market Strength Events

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

Solvay Bank Risk Indicators

The analysis of Solvay Bank'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 Solvay Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting solvay 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Solvay Pink Sheet Analysis

When running Solvay Bank's price analysis, check to measure Solvay Bank'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 Solvay Bank is operating at the current time. Most of Solvay Bank's value examination focuses on studying past and present price action to predict the probability of Solvay Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solvay Bank's price. Additionally, you may evaluate how the addition of Solvay Bank to your portfolios can decrease your overall portfolio volatility.