Quantum Capital Pink Sheet Forecast - Simple Regression

QTCI Stock  USD 0.01  0.00  0.00%   
The Simple Regression forecasted value of Quantum Capital on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.54. Quantum Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Quantum Capital's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Quantum Capital price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Quantum Capital Simple Regression Price Forecast For the 26th of December

Given 90 days horizon, the Simple Regression forecasted value of Quantum Capital on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.54.
Please note that although there have been many attempts to predict Quantum 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 Quantum Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Quantum Capital Pink Sheet Forecast Pattern

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Quantum Capital Forecasted Value

In the context of forecasting Quantum Capital'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. Quantum Capital's downside and upside margins for the forecasting period are 0.000051 and 39.12, respectively. We have considered Quantum Capital'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
0.01
0.000051
Downside
0.01
Expected Value
39.12
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Quantum Capital pink sheet data series using in forecasting. Note that when a statistical model is used to represent Quantum Capital 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 Criteria110.2815
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0089
MAPEMean absolute percentage error0.5728
SAESum of the absolute errors0.5399
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Quantum Capital historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Quantum Capital

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quantum 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantum Capital'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
0.000.0139.12
Details
Intrinsic
Valuation
LowRealHigh
0.00039.11
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.020.020.07
Details

Other Forecasting Options for Quantum Capital

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

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

Quantum 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 Quantum Capital'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 Quantum Capital's current price.

Quantum Capital Market Strength Events

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

Quantum Capital Risk Indicators

The analysis of Quantum Capital'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 Quantum Capital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting quantum 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Quantum Pink Sheet

Quantum Capital financial ratios help investors to determine whether Quantum 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 Quantum with respect to the benefits of owning Quantum Capital security.