Forge Innovation OTC Stock Forecast - Naive Prediction
| FGNV Stock | USD 0.01 0.00 0.00% |
The Naive Prediction forecasted value of Forge Innovation Development on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0001 and the sum of the absolute errors of 0.01. Forge OTC Stock Forecast is based on your current time horizon.
At this time the value of rsi of Forge Innovation's share price is below 20 . This usually indicates that the otc stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Forge Innovation based on different types of headlines from major news networks to social media. Using Forge Innovation hype-based prediction, you can estimate the value of Forge Innovation Development from the perspective of Forge Innovation response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Forge Innovation Development on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0001 and the sum of the absolute errors of 0.01. Forge Innovation after-hype prediction price | USD 0.01 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Forge |
Forge Innovation Additional Predictive Modules
Most predictive techniques to examine Forge price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Forge using various technical indicators. When you analyze Forge charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Forge Innovation Naive Prediction Price Forecast For the 18th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of Forge Innovation Development on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0001, mean absolute percentage error of 0.00000003, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict Forge OTC Stock 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 Forge Innovation's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Forge Innovation OTC Stock Forecast Pattern
| Backtest Forge Innovation | Forge Innovation Price Prediction | Buy or Sell Advice |
Forge Innovation Forecasted Value
In the context of forecasting Forge Innovation's OTC Stock 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. Forge Innovation's downside and upside margins for the forecasting period are 0.0001 and 10.13, respectively. We have considered Forge Innovation'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Forge Innovation otc stock data series using in forecasting. Note that when a statistical model is used to represent Forge Innovation otc stock, 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.| AIC | Akaike Information Criteria | 102.7256 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0E-4 |
| MAPE | Mean absolute percentage error | 0.012 |
| SAE | Sum of the absolute errors | 0.0079 |
Predictive Modules for Forge Innovation
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Forge Innovation Dev. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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.Other Forecasting Options for Forge Innovation
For every potential investor in Forge, whether a beginner or expert, Forge Innovation's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Forge OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Forge. Basic forecasting techniques help filter out the noise by identifying Forge Innovation's price trends.Forge Innovation 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 Forge Innovation otc stock to make a market-neutral strategy. Peer analysis of Forge Innovation could also be used in its relative valuation, which is a method of valuing Forge Innovation by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Forge Innovation Dev Technical and Predictive Analytics
The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Forge Innovation'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 Forge Innovation's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Forge Innovation Market Strength Events
Market strength indicators help investors to evaluate how Forge Innovation otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Forge Innovation shares will generate the highest return on investment. By undertsting and applying Forge Innovation otc stock market strength indicators, traders can identify Forge Innovation Development entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0111 | |||
| Day Typical Price | 0.0111 |
Forge Innovation Risk Indicators
The analysis of Forge Innovation'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 Forge Innovation's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting forge otc stock 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 Deviation | 2.39 | |||
| Standard Deviation | 9.98 | |||
| Variance | 99.61 |
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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Additional Tools for Forge OTC Stock Analysis
When running Forge Innovation's price analysis, check to measure Forge Innovation'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 Forge Innovation is operating at the current time. Most of Forge Innovation's value examination focuses on studying past and present price action to predict the probability of Forge Innovation's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forge Innovation's price. Additionally, you may evaluate how the addition of Forge Innovation to your portfolios can decrease your overall portfolio volatility.