Full House Stock Forward View - Simple Moving Average
| FLL Stock | USD 2.61 -0.13 -4.74% |
Predicting where Full House's stock will trade is more achievable when sentiment data complements traditional analysis. This module isolates the sentiment-driven component of price to highlight potential mispricings.
At this point in time, the RSI oscillator for Full House is 0, signaling extreme oversold conditions. Historically, RSI levels this depressed have preceded relief bounces, though the magnitude and duration vary widely.Momentum
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.056 | EPS Estimate Next Quarter -0.21 | EPS Estimate Current Year -1.02 | EPS Estimate Next Year -0.83 | Wall Street Target Price 3.75 |
This section provides headline-driven context for Full House Resorts alongside peer activity. The sentiment layer reflects Full House's options activity and short interest context.
Full House Short Interest View
A sudden spike in Full House's short interest may indicate that institutional investors have identified specific risks - such as earnings disappointments or regulatory events - not yet priced into the market.
200 Day MA 3.7141 | Short Percent 0.0268 | Short Ratio 4.54 | Shares Short Prior Month 769.1 K | 50 Day MA 2.934 |
Full RSI Context
The Simple Moving Average forecasted value of Full House Resorts on the next trading day is expected to be 2.61 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.04.Full House Resorts Hype-Price Relationship
Sentiment data for Full House Resorts synthesizes media coverage, analyst tone, and social engagement into a single signal. When Full House's sentiment diverges sharply from price, a mean-reversion trade may be developing.
For Full House, sentiment analysis reveals whether the prevailing narrative matches business reality. A persistent divergence often resolves in the direction of fundamentals once sentiment normalizes.
Full House Implied Volatility | 1.02 |
When Full House's implied volatility is unusually high relative to its historical average, options premiums are inflated. Sophisticated investors may choose to sell options in this environment to collect elevated premium income.
The Simple Moving Average forecasted value of Full House Resorts on the next trading day is expected to be 2.61 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.04.Full House after-hype prediction price | $ 2.6 |
The sentiment panel provides context that can be compared with forecasting models and technical indicators.
Historical Fundamental Analysis of Full House can be used to cross-verify projections for Full House. The historical series provides projection context.Open Interest Context: Full 2026-04-17 Options
Open interest represents the number of active Full House option contracts and offers a participation signal.
Full House Additional Predictive Modules
Most predictive techniques to examine Full price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Full using various technical indicators. When you analyze Full 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 |
Simple Moving Average Price Forecast For the 16th of March 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Full House Resorts on the next trading day is expected to be 2.61 with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 4.04 .Please note that although there have been many attempts to predict Full Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Full House's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Full House | Full House Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Full House Resorts uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Full House stock data series using in forecasting. Note that when a statistical model is used to represent Full House 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 | 109.7827 |
| Bias | Arithmetic mean of the errors | 0.0106 |
| MAD | Mean absolute deviation | 0.0686 |
| MAPE | Mean absolute percentage error | 0.0273 |
| SAE | Sum of the absolute errors | 4.045 |
The mean reversion effect in Full House is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of Full House's price dislocation is essential before acting.
After-Hype Price Density Analysis
The probability distribution for Full House's predicted price encodes the full spectrum of outcomes, weighted by their estimated likelihood. Investors should compare this range against their personal risk tolerance before committing to Full House positions.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The news prediction model for Full House analyzes the correlation between Full House's historical headline events and same-day or next-day price movements. Full House's after-hype downside and upside margins for the prediction period are 0.13 and 6.19, respectively. Predictive accuracy varies significantly across different news categories and market regimes for Full House.
Current Value
The after-hype framework applied to Full House Resorts assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Full House is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Full House 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 Full House, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.10 | 3.59 | 0.01 | 0.00 | 7 Events | 8 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.61 | 2.60 | 0.38 |
|
Hype Timeline
On the 15th of March 2026 Full House Resorts is traded for 2.61. The company has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.0. Full is expected to decline in value after the next headline, with the price expected to drop to 2.6. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.38%, whereas the daily expected return is currently at -0.1%. The volatility of related hype on Full House is about 27615.38%, with the expected price after the next announcement by competition of 2.61. About 44.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 0.66. Full House Resorts recorded a loss per share of 1.11. The company had not issued any dividends in recent years. Considering the 90-day investment horizon the next expected press release will be in 7 days. Historical Fundamental Analysis of Full House can be used to cross-verify projections for Full House. The historical series provides projection context.Related Hype Analysis
Sector-wide news events often affect Full House before the fundamental impact on Full House's own business becomes clear. Peer hype analysis helps investors distinguish between sector-level sentiment shifts and Full House-specific developments.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GRWG | GrowGeneration Corp | -0.02 | 7 per month | 0.00 | -0.04 | 4.46 | -5.82 | 52.12 | |
| THCH | TH International Limited | -0.12 | 5 per month | 0.00 | -0.04 | 7.87 | -7.41 | 17.70 | |
| SPWH | Sportsmans | -0.01 | 6 per month | 0.00 | -0.05 | 4.44 | -4.96 | 32.17 | |
| CPHC | Canterbury Park Holding | 0.11 | 7 per month | 1.56 | 0.06 | 2.87 | -2.59 | 9.57 | |
| PRPL | Purple Innovation | 0.02 | 4 per month | 0.00 | -0.03 | 5.26 | -5.19 | 16.34 | |
| RRGB | Red Robin Gourmet | 0.20 | 6 per month | 0.00 | -0.01 | 5.22 | -6.74 | 41.41 | |
| IRBT | IRobot | -0.18 | 9 per month | 0.00 | -0.11 | 21.78 | -33.87 | 146.53 | |
| QVCGA | QVC Group | 0.17 | 9 per month | 0.00 | -0.08 | 8.80 | -12.69 | 81.12 | |
| LAZR | Luminar Technologies | -0.07 | 7 per month | 0.00 | -0.06 | 17.05 | -45.02 | 236.06 | |
| KNDI | Kandi Technologies Group | 0.03 | 6 per month | 3.23 | 0.03 | 8.16 | -5.88 | 20.13 |
Other Forecasting Options for Full House
For both new and experienced investors in Full, the ability to analyze Full House's price movement is a fundamental investment skill. Price chart noise in Full Stock can create false signals and mislead investment decisions.Full House Related Equities
The following equities are related to Full House within the Consumer Discretionary space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Full House against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Full House Market Strength Events
Tracking market strength indicators for Full House helps investors understand the momentum dynamics of the stock in real time. These signals support informed decisions about when to enter or exit positions in Full House Resorts for maximum return potential.
Full House Risk Indicators
Properly assessing Full House's risk indicators is a prerequisite for building reliable price forecasts. Identifying and quantifying the risks associated with Full House's allows investors to make better-informed decisions about accepting or hedging their exposure.
| Mean Deviation | 2.65 | |||
| Semi Deviation | 2.97 | |||
| Standard Deviation | 3.78 | |||
| Variance | 14.26 | |||
| Downside Variance | 10.49 | |||
| Semi Variance | 8.81 | |||
| Expected Short fall | -3.26 |
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 Full House
Coverage intensity for Full House Resorts matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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More Resources for Full Stock Analysis
A comprehensive view of Full House Resorts starts with financial statements and ratio context. Key ratios help frame profitability, efficiency, and growth context for Full House Resorts Stock. Key reports that frame Full House Resorts Stock are listed below:Historical Fundamental Analysis of Full House can be used to cross-verify projections for Full House. The historical series provides projection context. Analysis related to Full House should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Quarterly Earnings Growth 0.056 | Earnings Share -1.11 | Revenue Per Share | Quarterly Revenue Growth 0.03 | Return On Equity |
Understanding Full House Resorts includes distinguishing between market value and book value, where book value reflects Full's accounting equity. Full House's market capitalization is 88.5 M. With a P/B ratio of 6.67, the market values Full House well above its book equity. Enterprise value stands at 596.1 M. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Valuation methods compare these perspectives to frame context.
It is useful to distinguish Full House's value from its trading price, which are computed with different methods. For Full House, key inputs include a P/B ratio of 6.67, a profit margin of -13.38%, ROE of -101.45%, and revenue of 302.38 M. By contrast, market price reflects the level where buyers and sellers transact.