Friendable Pink Sheet Forecast - Simple Regression

FDBL Stock  USD 0.0001  0.00  0.00%   
The Simple Regression forecasted value of Friendable on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000913 and the sum of the absolute errors of 0.0006. Friendable Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Friendable 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.

Friendable Simple Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Friendable on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000913, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0006.
Please note that although there have been many attempts to predict Friendable 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 Friendable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Friendable Pink Sheet Forecast Pattern

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Friendable Forecasted Value

In the context of forecasting Friendable'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. Friendable's downside and upside margins for the forecasting period are 0.000001 and 14.18, respectively. We have considered Friendable'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
0.0001
0.000001
Downside
0.0001
Expected Value
14.18
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 Friendable pink sheet data series using in forecasting. Note that when a statistical model is used to represent Friendable 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 Criteria98.4406
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0685
SAESum of the absolute errors6.0E-4
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 Friendable 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 Friendable

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Friendable. 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
0.000.000114.18
Details
Intrinsic
Valuation
LowRealHigh
0.000.00009614.18
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Friendable. Your research has to be compared to or analyzed against Friendable's peers to derive any actionable benefits. When done correctly, Friendable'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 Friendable.

Other Forecasting Options for Friendable

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

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 Risk & Return  Correlation

Friendable 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 Friendable'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 Friendable's current price.

Friendable Market Strength Events

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

Friendable Risk Indicators

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

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Other Information on Investing in Friendable Pink Sheet

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