Firefly Neuroscience Stock Forecast - Simple Regression

AIFF Stock   1.03  0.02  1.90%   
The Simple Regression forecasted value of Firefly Neuroscience on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.45. 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.
As of 24th of January 2026 the relative strength index (rsi) of Firefly Neuroscience's share price is below 20 . This suggests that the 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
The successful prediction of Firefly Neuroscience's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Firefly Neuroscience and does not consider all of the tangible or intangible factors available from Firefly Neuroscience's fundamental data. We analyze noise-free headlines and recent hype associated with Firefly Neuroscience, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Firefly Neuroscience's stock price prediction:
Quarterly Revenue Growth
10.758
Using Firefly Neuroscience hype-based prediction, you can estimate the value of Firefly Neuroscience from the perspective of Firefly Neuroscience response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Firefly Neuroscience on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.45.

Firefly Neuroscience after-hype prediction price

    
  USD 0.8  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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.

Firefly Neuroscience Additional Predictive Modules

Most predictive techniques to examine Firefly price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Firefly using various technical indicators. When you analyze Firefly 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Firefly Neuroscience 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.

Firefly Neuroscience Simple Regression Price Forecast For the 25th of January

Given 90 days horizon, the Simple Regression forecasted value of Firefly Neuroscience on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.45.
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 NeuroscienceFirefly Neuroscience Price PredictionBuy 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 0.01 and 6.24, 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.
Market Value
1.03
0.92
Expected Value
6.24
Upside

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 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.
AICAkaike Information Criteria115.9829
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1041
MAPEMean absolute percentage error0.0779
SAESum of the absolute errors6.4536
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 Firefly Neuroscience 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 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.
Hype
Prediction
LowEstimatedHigh
0.040.806.12
Details
Intrinsic
Valuation
LowRealHigh
0.051.006.32
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Firefly Neuroscience. Your research has to be compared to or analyzed against Firefly Neuroscience's peers to derive any actionable benefits. When done correctly, Firefly Neuroscience's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Firefly Neuroscience.

Firefly Neuroscience After-Hype Price Prediction Density Analysis

As far as predicting the price of Firefly Neuroscience at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Firefly Neuroscience or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Firefly Neuroscience, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Firefly Neuroscience Estimiated After-Hype Price Volatility

In the context of predicting Firefly Neuroscience's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Firefly Neuroscience's historical news coverage. Firefly Neuroscience's after-hype downside and upside margins for the prediction period are 0.04 and 6.12, respectively. We have considered Firefly Neuroscience's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
1.03
0.80
After-hype Price
6.12
Upside
Firefly Neuroscience is extremely dangerous at this time. Analysis and calculation of next after-hype price of Firefly Neuroscience is based on 3 months time horizon.

Firefly Neuroscience Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Firefly Neuroscience is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Firefly Neuroscience backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Firefly Neuroscience, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.97 
5.32
  0.23 
  0.02 
11 Events / Month
5 Events / Month
In about 11 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
1.03
0.80
22.33 
2,217  
Notes

Firefly Neuroscience Hype Timeline

Firefly Neuroscience is presently traded for 1.03. The entity has historical hype elasticity of -0.23, and average elasticity to hype of competition of -0.02. Firefly is forecasted to decline in value after the next headline, with the price expected to drop to 0.8. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -22.33%, whereas the daily expected return is presently at -0.97%. The volatility of related hype on Firefly Neuroscience is about 28000.0%, with the expected price after the next announcement by competition of 1.01. About 28.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.48. Some equities with similar Price to Book (P/B) outperform the market in the long run. Firefly Neuroscience recorded a loss per share of 2.26. The entity had not issued any dividends in recent years. The firm had 1:3 split on the 13th of August 2024. Given the investment horizon of 90 days the next forecasted press release will be in about 11 days.
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.

Firefly Neuroscience Related Hype Analysis

Having access to credible news sources related to Firefly Neuroscience's direct competition is more important than ever and may enhance your ability to predict Firefly Neuroscience's future price movements. Getting to know how Firefly Neuroscience's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Firefly Neuroscience may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
CNTMConnectM Technology Solutions 0.02 2 per month 9.41  0.06  22.73 (15.38) 54.57 
NTCLNETCLASS TECHNOLOGY INC 0.01 7 per month 0.00 (0.07) 12.50 (16.36) 71.43 
NXPLNextplat Corp 0.00 8 per month 4.89  0.01  8.33 (8.16) 28.43 
SAGTSAGTEC GLOBAL LIMITED(0.08)9 per month 4.03  0.03  8.70 (7.50) 29.68 
VEEAVeea Inc 0.02 8 per month 0.00 (0.02) 14.29 (10.96) 34.60 
ANYSphere 3D Corp 0.01 19 per month 0.00 (0.33) 8.51 (9.09) 20.25 
MNDOMIND CTI 0.07 7 per month 1.37  0.08  5.77 (2.83) 14.13 
CXAICXApp Inc(0.04)8 per month 0.00 (0.23) 8.11 (10.87) 36.84 
ARBEArbe Robotics(0.20)13 per month 0.00 (0.03) 9.71 (7.89) 23.36 
RMSGReal Messenger 0.00 8 per month 0.00 (0.13) 10.13 (11.40) 35.33 

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 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.
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.

Story Coverage note for Firefly Neuroscience

The number of cover stories for Firefly Neuroscience depends on current market conditions and Firefly Neuroscience's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Firefly Neuroscience is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Firefly Neuroscience's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Firefly Neuroscience Short Properties

Firefly Neuroscience's future price predictability will typically decrease when Firefly Neuroscience's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Firefly Neuroscience often depends not only on the future outlook of the potential Firefly Neuroscience's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Firefly Neuroscience's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding6.5 M
Cash And Short Term Investments1.8 M
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your 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
(2.26)
Revenue Per Share
0.07
Quarterly Revenue Growth
10.758
Return On Assets
(0.61)
Return On Equity
(3.41)
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.