FEC Resources Pink Sheet Forecast - Naive Prediction
| FECOF Stock | USD 0 0.0005 22.73% |
The Naive Prediction forecasted value of FEC Resources on the next trading day is expected to be 0.0008 with a mean absolute deviation of 0.0002 and the sum of the absolute errors of 0.01. FEC Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast FEC Resources stock prices and determine the direction of FEC Resources's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of FEC Resources' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of FEC Resources to cross-verify your projections. FEC |
Most investors in FEC Resources cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the FEC Resources' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets FEC Resources' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for FEC Resources is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of FEC Resources value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period. FEC Resources Naive Prediction Price Forecast For the 17th of April 2024
Given 90 days horizon, the Naive Prediction forecasted value of FEC Resources on the next trading day is expected to be 0.0008 with a mean absolute deviation of 0.0002, mean absolute percentage error of 0.00000008, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict FEC 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 FEC Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FEC Resources Pink Sheet Forecast Pattern
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FEC Resources Forecasted Value
In the context of forecasting FEC Resources' 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. FEC Resources' downside and upside margins for the forecasting period are 0.000017 and 15.57, respectively. We have considered FEC Resources' 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 FEC Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent FEC Resources 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.| AIC | Akaike Information Criteria | 101.7195 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.0E-4 |
| MAPE | Mean absolute percentage error | 0.1123 |
| SAE | Sum of the absolute errors | 0.0116 |
Predictive Modules for FEC Resources
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FEC Resources. 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 FEC Resources' 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.
Other Forecasting Options for FEC Resources
For every potential investor in FEC, whether a beginner or expert, FEC Resources' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FEC Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FEC. Basic forecasting techniques help filter out the noise by identifying FEC Resources' price trends.FEC Resources 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 FEC Resources pink sheet to make a market-neutral strategy. Peer analysis of FEC Resources could also be used in its relative valuation, which is a method of valuing FEC Resources by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FEC Resources 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 FEC Resources' 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 FEC Resources' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FEC Resources Market Strength Events
Market strength indicators help investors to evaluate how FEC Resources 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 FEC Resources shares will generate the highest return on investment. By undertsting and applying FEC Resources pink sheet market strength indicators, traders can identify FEC Resources entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.77 | |||
| Day Median Price | 0.0017 | |||
| Day Typical Price | 0.0017 | |||
| Price Action Indicator | (0.0003) | |||
| Period Momentum Indicator | (0.0005) |
FEC Resources Risk Indicators
The analysis of FEC Resources' 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 FEC Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fec 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 Deviation | 6.25 | |||
| Standard Deviation | 15.08 | |||
| Variance | 227.55 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards FEC Resources in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, FEC Resources' short interest history, or implied volatility extrapolated from FEC Resources options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of FEC Resources to cross-verify your projections. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for FEC Pink Sheet analysis
When running FEC Resources' price analysis, check to measure FEC Resources' 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 FEC Resources is operating at the current time. Most of FEC Resources' value examination focuses on studying past and present price action to predict the probability of FEC Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FEC Resources' price. Additionally, you may evaluate how the addition of FEC Resources to your portfolios can decrease your overall portfolio volatility.
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