First Gen Pink Sheet Forecast - Simple Regression

FSGCY Stock  USD 4.32  0.00  0.00%   
The Simple Regression forecasted value of First Gen Corp on the next trading day is expected to be 4.14 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.95. First 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 First Gen 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.

First Gen Simple Regression Price Forecast For the 27th of December

Given 90 days horizon, the Simple Regression forecasted value of First Gen Corp on the next trading day is expected to be 4.14 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.30, and the sum of the absolute errors of 12.95.
Please note that although there have been many attempts to predict First 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 First Gen's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Gen Pink Sheet Forecast Pattern

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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 First Gen pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Gen 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 Criteria116.913
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2123
MAPEMean absolute percentage error0.0409
SAESum of the absolute errors12.9517
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 First Gen Corp 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 First Gen

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Gen 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Gen'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
4.324.324.32
Details
Intrinsic
Valuation
LowRealHigh
3.895.425.42
Details

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

First Gen Market Strength Events

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

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 First Pink Sheet Analysis

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