USS Co Pink Sheet Forecast - 20 Period Moving Average

USSJY Stock  USD 19.40  0.00  0.00%   
The 20 Period Moving Average forecasted value of USS Co Ltd on the next trading day is expected to be 17.95 with a mean absolute deviation of 0.80 and the sum of the absolute errors of 32.66. USS Pink Sheet Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for USS Co Ltd is based on a synthetically constructed USS Codaily 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.

USS Co 20 Period Moving Average Price Forecast For the 3rd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of USS Co Ltd on the next trading day is expected to be 17.95 with a mean absolute deviation of 0.80, mean absolute percentage error of 1.23, and the sum of the absolute errors of 32.66.
Please note that although there have been many attempts to predict USS 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 USS Co's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

USS Co Pink Sheet Forecast Pattern

Backtest USS CoUSS Co Price PredictionBuy or Sell Advice 

USS Co Forecasted Value

In the context of forecasting USS Co'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. USS Co's downside and upside margins for the forecasting period are 15.89 and 20.01, respectively. We have considered USS Co'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
19.40
17.95
Expected Value
20.01
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 USS Co pink sheet data series using in forecasting. Note that when a statistical model is used to represent USS Co 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 Criteria81.5625
BiasArithmetic mean of the errors 0.0763
MADMean absolute deviation0.7965
MAPEMean absolute percentage error0.0445
SAESum of the absolute errors32.657
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. USS Co 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for USS Co

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as USS Co. 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
15.5517.6119.67
Details
Intrinsic
Valuation
LowRealHigh
15.7917.8519.91
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.7817.8119.83
Details

Other Forecasting Options for USS Co

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

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

USS Co 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 USS Co'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 USS Co's current price.

USS Co Market Strength Events

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

USS Co Risk Indicators

The analysis of USS Co'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 USS Co's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uss 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for USS Pink Sheet Analysis

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