Firefly Neuroscience, Stock Forecast - 20 Period Moving Average
AIFF Stock | 3.58 0.32 9.82% |
The 20 Period Moving Average forecasted value of Firefly Neuroscience, on the next trading day is expected to be 3.37 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 16.03. Firefly Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Firefly Neuroscience,'s historical fundamentals, such as revenue growth or operating cash flow patterns.
Firefly |
Firefly Neuroscience, 20 Period Moving Average Price Forecast For the 14th of November 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of Firefly Neuroscience, on the next trading day is expected to be 3.37 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.21, and the sum of the absolute errors of 16.03.Please note that although there have been many attempts to predict Firefly 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 Firefly Neuroscience,'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Firefly Neuroscience, Stock Forecast Pattern
Backtest Firefly Neuroscience, | Firefly Neuroscience, Price Prediction | Buy or Sell Advice |
Firefly Neuroscience, Forecasted Value
In the context of forecasting Firefly Neuroscience,'s 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. Firefly Neuroscience,'s downside and upside margins for the forecasting period are 0.04 and 13.37, respectively. We have considered Firefly Neuroscience,'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Firefly Neuroscience, stock data series using in forecasting. Note that when a statistical model is used to represent Firefly Neuroscience, 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 | 81.6173 |
Bias | Arithmetic mean of the errors | 0.1601 |
MAD | Mean absolute deviation | 0.3817 |
MAPE | Mean absolute percentage error | 0.1152 |
SAE | Sum of the absolute errors | 16.0315 |
Predictive Modules for Firefly Neuroscience,
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Firefly Neuroscience,. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 Firefly Neuroscience,
For every potential investor in Firefly, whether a beginner or expert, Firefly Neuroscience,'s price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Firefly Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Firefly. Basic forecasting techniques help filter out the noise by identifying Firefly Neuroscience,'s price trends.Firefly Neuroscience, 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 Firefly Neuroscience, stock to make a market-neutral strategy. Peer analysis of Firefly Neuroscience, could also be used in its relative valuation, which is a method of valuing Firefly Neuroscience, by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Firefly Neuroscience, Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Firefly Neuroscience,'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 Firefly Neuroscience,'s current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Firefly Neuroscience, Market Strength Events
Market strength indicators help investors to evaluate how Firefly Neuroscience, stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Firefly Neuroscience, shares will generate the highest return on investment. By undertsting and applying Firefly Neuroscience, stock market strength indicators, traders can identify Firefly Neuroscience, entry and exit signals to maximize returns.
Firefly Neuroscience, Risk Indicators
The analysis of Firefly Neuroscience,'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 Firefly Neuroscience,'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting firefly 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 | 6.78 | |||
Standard Deviation | 10.3 | |||
Variance | 106.19 |
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.
Currently Active Assets on Macroaxis
When determining whether Firefly Neuroscience, is a strong investment it is important to analyze Firefly Neuroscience,'s competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Firefly Neuroscience,'s future performance. For an informed investment choice regarding Firefly Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Firefly Neuroscience, to cross-verify your projections. For more detail on how to invest in Firefly Stock please use our How to Invest in Firefly Neuroscience, guide.You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Is IT Consulting & Other Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Firefly Neuroscience,. If investors know Firefly will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Firefly Neuroscience, listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.30) | Revenue Per Share 0.001 | Quarterly Revenue Growth (0.98) |
The market value of Firefly Neuroscience, is measured differently than its book value, which is the value of Firefly that is recorded on the company's balance sheet. Investors also form their own opinion of Firefly Neuroscience,'s value that differs from its market value or its book value, called intrinsic value, which is Firefly Neuroscience,'s true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Firefly Neuroscience,'s market value can be influenced by many factors that don't directly affect Firefly Neuroscience,'s underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Firefly Neuroscience,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if Firefly Neuroscience, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Firefly Neuroscience,'s price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.