Fortran Corp Pink Sheet Forecast - Double Exponential Smoothing
FRTN Stock | USD 0.02 0.01 33.33% |
The Double Exponential Smoothing forecasted value of Fortran Corp on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.11. Fortran Pink Sheet Forecast is based on your current time horizon.
Fortran |
Fortran Corp Double Exponential Smoothing Price Forecast For the 1st of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Fortran Corp on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0.000015, and the sum of the absolute errors of 0.11.Please note that although there have been many attempts to predict Fortran 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 Fortran Corp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fortran Corp Pink Sheet Forecast Pattern
Backtest Fortran Corp | Fortran Corp Price Prediction | Buy or Sell Advice |
Fortran Corp Forecasted Value
In the context of forecasting Fortran Corp'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. Fortran Corp's downside and upside margins for the forecasting period are 0.0002 and 28.48, respectively. We have considered Fortran Corp'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Fortran Corp pink sheet data series using in forecasting. Note that when a statistical model is used to represent Fortran Corp 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 | Huge |
Bias | Arithmetic mean of the errors | -2.0E-4 |
MAD | Mean absolute deviation | 0.0018 |
MAPE | Mean absolute percentage error | 0.1204 |
SAE | Sum of the absolute errors | 0.1073 |
Predictive Modules for Fortran Corp
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fortran 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 Fortran Corp'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.
Other Forecasting Options for Fortran Corp
For every potential investor in Fortran, whether a beginner or expert, Fortran Corp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fortran Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fortran. Basic forecasting techniques help filter out the noise by identifying Fortran Corp's price trends.Fortran Corp 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 Fortran Corp pink sheet to make a market-neutral strategy. Peer analysis of Fortran Corp could also be used in its relative valuation, which is a method of valuing Fortran Corp by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Fortran Corp 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 Fortran Corp'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 Fortran Corp's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Fortran Corp Market Strength Events
Market strength indicators help investors to evaluate how Fortran Corp 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 Fortran Corp shares will generate the highest return on investment. By undertsting and applying Fortran Corp pink sheet market strength indicators, traders can identify Fortran Corp entry and exit signals to maximize returns.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.67 | |||
Day Median Price | 0.02 | |||
Day Typical Price | 0.02 | |||
Price Action Indicator | (0.01) | |||
Period Momentum Indicator | (0.01) | |||
Relative Strength Index | 36.68 |
Fortran Corp Risk Indicators
The analysis of Fortran Corp'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 Fortran Corp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fortran 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 | 13.63 | |||
Standard Deviation | 28.02 | |||
Variance | 785.36 |
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.
Pair Trading with Fortran Corp
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fortran Corp position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fortran Corp will appreciate offsetting losses from the drop in the long position's value.Moving against Fortran Pink Sheet
0.44 | BKRKF | PT Bank Rakyat | PairCorr |
0.36 | BKRKY | Bank Rakyat | PairCorr |
0.36 | PPERY | Bank Mandiri Persero | PairCorr |
0.36 | EC | Ecopetrol SA ADR Sell-off Trend | PairCorr |
0.33 | PPERF | Bank Mandiri Persero | PairCorr |
The ability to find closely correlated positions to Fortran Corp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortran Corp when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fortran Corp - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fortran Corp to buy it.
The correlation of Fortran Corp is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fortran Corp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortran Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fortran Corp can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Fortran Pink Sheet
Fortran Corp financial ratios help investors to determine whether Fortran 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 Fortran with respect to the benefits of owning Fortran Corp security.