Homestolife Stock Price Patterns
| HTLM Stock | 2.50 0.15 6.38% |
Momentum 42
Sell Extended
Oversold | Overbought |
Using HomesToLife hype-based prediction, you can estimate the value of HomesToLife from the perspective of HomesToLife response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in HomesToLife to buy its stock at a price that has no basis in reality. In that case, they are not buying HomesToLife because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
HomesToLife after-hype prediction price | USD 2.58 |
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.
HomesToLife | Build AI portfolio with HomesToLife Stock |
HomesToLife After-Hype Price Density Analysis
As far as predicting the price of HomesToLife 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 HomesToLife 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 HomesToLife, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
HomesToLife Estimiated After-Hype Price Volatility
In the context of predicting HomesToLife's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on HomesToLife's historical news coverage. HomesToLife's after-hype downside and upside margins for the prediction period are 0.13 and 9.34, respectively. We have considered HomesToLife'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
HomesToLife is dangerous at this time. Analysis and calculation of next after-hype price of HomesToLife is based on 3 months time horizon.
HomesToLife Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as HomesToLife is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading HomesToLife 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 HomesToLife, 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 |
0.32 | 6.76 | 0.08 | 0.04 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.50 | 2.58 | 3.20 |
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HomesToLife Hype Timeline
HomesToLife is currently traded for 2.50. The entity has historical hype elasticity of 0.08, and average elasticity to hype of competition of 0.04. HomesToLife is expected to increase in value after the next headline, with the price projected to jump to 2.58 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 3.2%, whereas the daily expected return is currently at -0.32%. The volatility of related hype on HomesToLife is about 5728.81%, with the expected price after the next announcement by competition of 2.54. HomesToLife currently holds 3.61 M in liabilities. Given the investment horizon of 90 days the next expected press release will be in about 8 days. Check out HomesToLife Basic Forecasting Models to cross-verify your projections.HomesToLife Related Hype Analysis
Having access to credible news sources related to HomesToLife's direct competition is more important than ever and may enhance your ability to predict HomesToLife's future price movements. Getting to know how HomesToLife'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 HomesToLife may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BRIA | BrilliA | (0.05) | 8 per month | 2.00 | 0.05 | 3.89 | (3.31) | 10.82 | |
| CLIR | ClearSign Combustion | (0.03) | 7 per month | 0.00 | (0.09) | 7.27 | (9.33) | 37.67 | |
| LASE | Laser Photonics | (0.01) | 8 per month | 0.00 | (0.26) | 7.83 | (18.99) | 41.85 | |
| FLUX | Flux Power Holdings | 0.02 | 6 per month | 0.00 | (0.17) | 9.87 | (11.11) | 29.63 | |
| ADSE | Ads Tec Energy | 0.30 | 10 per month | 0.00 | (0.05) | 5.22 | (4.89) | 18.67 | |
| SPCB | Supercom | (0.06) | 9 per month | 0.00 | (0.09) | 6.59 | (6.94) | 17.61 | |
| DPRO | Draganfly | 0.24 | 8 per month | 0.00 | (0.08) | 10.34 | (11.51) | 37.73 | |
| AP | Ampco Pittsburgh | 0.46 | 8 per month | 2.90 | 0.31 | 12.36 | (4.90) | 22.67 | |
| IPWR | Ideal Power | 0.30 | 8 per month | 0.00 | (0.05) | 9.70 | (10.49) | 37.70 | |
| APT | Alpha Pro Tech | 0.01 | 7 per month | 1.95 | 0.07 | 3.58 | (2.61) | 8.80 |
HomesToLife Additional Predictive Modules
Most predictive techniques to examine HomesToLife price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for HomesToLife using various technical indicators. When you analyze HomesToLife 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 |
About HomesToLife Predictive Indicators
The successful prediction of HomesToLife stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as HomesToLife, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of HomesToLife based on analysis of HomesToLife hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to HomesToLife's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to HomesToLife's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Days Sales Outstanding | 168.16 | 128.93 | 116.04 | 85.98 | PTB Ratio | 36.46 | 35.27 | 40.56 | 64.44 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out HomesToLife Basic Forecasting Models to cross-verify your projections. To learn how to invest in HomesToLife Stock, please use our How to Invest in HomesToLife guide.You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Will Homefurnishing Retail sector continue expanding? Could HomesToLife diversify its offerings? Factors like these will boost the valuation of HomesToLife. Market participants price HomesToLife higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every HomesToLife data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Earnings Share (0.46) |
The market value of HomesToLife is measured differently than its book value, which is the value of HomesToLife that is recorded on the company's balance sheet. Investors also form their own opinion of HomesToLife's value that differs from its market value or its book value, called intrinsic value, which is HomesToLife's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because HomesToLife's market value can be influenced by many factors that don't directly affect HomesToLife'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 HomesToLife's value and its price as these two are different measures arrived at by different means. Investors typically determine if HomesToLife is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, HomesToLife's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.