Lyft Inc Stock Price Prediction
| LYFT Stock | USD 16.79 0.50 3.07% |
Oversold Vs Overbought
80
Oversold | Overbought |
EPS Estimate Next Quarter 0.18 | EPS Estimate Current Year (0.1) | EPS Estimate Next Year 0.0947 | Wall Street Target Price 19.1447 | EPS Estimate Current Quarter 0.2 |
Using LYFT hype-based prediction, you can estimate the value of LYFT Inc from the perspective of LYFT response to recently generated media hype and the effects of current headlines on its competitors.
LYFT Inc Hype to Price Pattern
Investor biases related to LYFT's public news can be used to forecast risks associated with an investment in LYFT. The trend in average sentiment can be used to explain how an investor holding LYFT can time the market purely based on public headlines and social activities around LYFT Inc. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of LYFT's market sentiment to its price can help taders to make decisions based on the overall investors consensus about LYFT.
The fear of missing out, i.e., FOMO, can cause potential investors in LYFT to buy its stock at a price that has no basis in reality. In that case, they are not buying LYFT 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.
LYFT after-hype prediction price | USD 16.23 |
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.
LYFT |
LYFT After-Hype Price Prediction Density Analysis
As far as predicting the price of LYFT 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 LYFT 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 LYFT, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
LYFT Estimiated After-Hype Price Volatility
In the context of predicting LYFT's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on LYFT's historical news coverage. LYFT's after-hype downside and upside margins for the prediction period are 12.32 and 20.14, respectively. We have considered LYFT'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
LYFT is somewhat reliable at this time. Analysis and calculation of next after-hype price of LYFT Inc is based on 3 months time horizon.
LYFT Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as LYFT is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading LYFT 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 LYFT, 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 |
0.58 | 3.91 | 0.06 | 0.02 | 7 Events / Month | 8 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.79 | 16.23 | 0.37 |
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LYFT Hype Timeline
LYFT Inc is now traded for 16.79. The entity has historical hype elasticity of -0.06, and average elasticity to hype of competition of -0.02. LYFT is forecasted to decline in value after the next headline, with the price expected to drop to 16.23. 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 -0.37%, whereas the daily expected return is now at 0.58%. The volatility of related hype on LYFT is about 10289.47%, with the expected price after the next announcement by competition of 16.77. About 80.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 1.87. LYFT Inc recorded a loss per share of 0.16. The entity had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 7 days. Check out LYFT Basic Forecasting Models to cross-verify your projections.LYFT Related Hype Analysis
Having access to credible news sources related to LYFT's direct competition is more important than ever and may enhance your ability to predict LYFT's future price movements. Getting to know how LYFT'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 LYFT may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MANH | Manhattan Associates | 3.28 | 12 per month | 1.95 | (0.02) | 2.22 | (2.66) | 10.50 | |
| PAYC | Paycom Soft | (3.51) | 11 per month | 0.80 | 0.15 | 3.35 | (2.24) | 23.48 | |
| CWAN | Clearwater Analytics Holdings | (0.26) | 10 per month | 1.32 | 0.12 | 2.80 | (2.76) | 18.70 | |
| PCOR | Procore Technologies | (0.52) | 8 per month | 1.46 | 0.12 | 4.79 | (2.47) | 9.89 | |
| ALKT | Alkami Technology | 0.01 | 12 per month | 2.07 | 0.09 | 5.15 | (4.11) | 11.93 | |
| APPF | Appfolio | (0.47) | 10 per month | 2.23 | (0.01) | 2.64 | (2.27) | 15.04 | |
| AGYS | Agilysys | 1.42 | 11 per month | 2.95 | 0.08 | 3.43 | (5.24) | 14.47 | |
| ENFN | Enfusion | (0.19) | 11 per month | 1.47 | 0.11 | 3.93 | (2.77) | 10.11 | |
| ETWO | E2open Parent Holdings | (0.11) | 10 per month | 0.00 | (0.16) | 3.87 | (5.33) | 25.44 | |
| ONTF | ON24 Inc | (0.03) | 9 per month | 1.94 | (0.03) | 3.22 | (2.86) | 11.19 |
LYFT Additional Predictive Modules
Most predictive techniques to examine LYFT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for LYFT using various technical indicators. When you analyze LYFT 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 LYFT Predictive Indicators
The successful prediction of LYFT 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 LYFT Inc, 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 LYFT based on analysis of LYFT hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to LYFT's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to LYFT's related companies. | 2023 | 2024 (projected) | Graham Number | 5.28 | 5.02 | Receivables Turnover | 14.43 | 16.36 |
Story Coverage note for LYFT
The number of cover stories for LYFT depends on current market conditions and LYFT's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that LYFT 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 LYFT's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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LYFT Short Properties
LYFT's future price predictability will typically decrease when LYFT's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of LYFT Inc often depends not only on the future outlook of the potential LYFT'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. LYFT's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 385.3 M | |
| Cash And Short Term Investments | 1.9 B |
Additional Tools for LYFT Stock Analysis
When running LYFT's price analysis, check to measure LYFT's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy LYFT is operating at the current time. Most of LYFT's value examination focuses on studying past and present price action to predict the probability of LYFT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LYFT's price. Additionally, you may evaluate how the addition of LYFT to your portfolios can decrease your overall portfolio volatility.