Clean Seed Pink Sheet Forecast - Simple Moving Average

CLGPF Stock  USD 0.09  0.04  70.00%   
The Simple Moving Average forecasted value of Clean Seed Capital on the next trading day is expected to be 0.09 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.13. Clean Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Clean Seed's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Clean Seed is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Clean Seed Simple Moving Average Price Forecast For the 28th of July

Given 90 days horizon, the Simple Moving Average forecasted value of Clean Seed Capital on the next trading day is expected to be 0.09 with a mean absolute deviation of 0, mean absolute percentage error of 0.000079, and the sum of the absolute errors of 0.13.
Please note that although there have been many attempts to predict Clean 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 Clean Seed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Clean Seed Pink Sheet Forecast Pattern

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Clean Seed Forecasted Value

In the context of forecasting Clean Seed'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. Clean Seed's downside and upside margins for the forecasting period are 0.0008 and 126.24, respectively. We have considered Clean Seed'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
0.09
0.0008
Downside
0.09
Expected Value
126.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Clean Seed pink sheet data series using in forecasting. Note that when a statistical model is used to represent Clean Seed 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 Criteria104.985
BiasArithmetic mean of the errors -0.0022
MADMean absolute deviation0.0022
MAPEMean absolute percentage error0.0358
SAESum of the absolute errors0.1274
The simple moving average model is conceptually a linear regression of the current value of Clean Seed Capital price series against current and previous (unobserved) value of Clean Seed. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Clean Seed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Clean Seed Capital. 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
0.000.0954.34
Details
Intrinsic
Valuation
LowRealHigh
0.000.0554.30
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.030.030.09
Details

Other Forecasting Options for Clean Seed

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

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

Clean Seed Capital 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 Clean Seed'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 Clean Seed's current price.

Clean Seed Market Strength Events

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

Clean Seed Risk Indicators

The analysis of Clean Seed'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 Clean Seed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting clean 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.
Mean Deviation1489.18
Standard Deviation6142.14
Variance3.772587005E7
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

Other Information on Investing in Clean Pink Sheet

Clean Seed financial ratios help investors to determine whether Clean Pink Sheet 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 Clean with respect to the benefits of owning Clean Seed security.