Snap On Stock Price Prediction
| SNA Stock | USD 365.97 4.57 1.26% |
Oversold Vs Overbought
86
Oversold | Overbought |
Quarterly Earnings Growth 0.042 | EPS Estimate Next Quarter 4.72 | EPS Estimate Current Year 19.44 | EPS Estimate Next Year 20.0956 | Wall Street Target Price 324.5 |
Using Snap On hype-based prediction, you can estimate the value of Snap On from the perspective of Snap On response to recently generated media hype and the effects of current headlines on its competitors.
Snap On Hype to Price Pattern
Investor biases related to Snap On's public news can be used to forecast risks associated with an investment in Snap. The trend in average sentiment can be used to explain how an investor holding Snap can time the market purely based on public headlines and social activities around Snap On. 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 Snap On's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Snap On.
The fear of missing out, i.e., FOMO, can cause potential investors in Snap On to buy its stock at a price that has no basis in reality. In that case, they are not buying Snap 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.
Snap On after-hype prediction price | USD 365.72 |
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.
Snap |
Snap On After-Hype Price Prediction Density Analysis
As far as predicting the price of Snap On 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 Snap On 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 Snap On, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Snap On Estimiated After-Hype Price Volatility
In the context of predicting Snap On's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Snap On's historical news coverage. Snap On's after-hype downside and upside margins for the prediction period are 364.04 and 367.40, respectively. We have considered Snap On'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
Snap On is very steady at this time. Analysis and calculation of next after-hype price of Snap On is based on 3 months time horizon.
Snap On Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Snap On is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Snap On 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 Snap On, 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 |
0.43 | 1.68 | 0.25 | 0.24 | 9 Events / Month | 6 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
365.97 | 365.72 | 0.07 |
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Snap On Hype Timeline
On the 25th of November Snap On is traded for 365.97. The entity has historical hype elasticity of -0.25, and average elasticity to hype of competition of -0.24. Snap is estimated to decline in value after the next headline, with the price expected to drop to 365.72. 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 -0.07%, whereas the daily expected return is at this time at 0.43%. The volatility of related hype on Snap On is about 299.47%, with the expected price after the next announcement by competition of 365.73. About 95.0% of the company shares are owned by institutional investors. The book value of Snap On was at this time reported as 104.27. The company has Price/Earnings To Growth (PEG) ratio of 2.52. Snap On recorded earning per share (EPS) of 19.43. The entity last dividend was issued on the 21st of November 2024. The firm had 3:2 split on the 11th of September 1996. Considering the 90-day investment horizon the next estimated press release will be in about 9 days. Check out Snap On Basic Forecasting Models to cross-verify your projections.Snap On Related Hype Analysis
Having access to credible news sources related to Snap On's direct competition is more important than ever and may enhance your ability to predict Snap On's future price movements. Getting to know how Snap On'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 Snap On may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LECO | Lincoln Electric Holdings | (6.32) | 8 per month | 1.46 | 0.01 | 3.09 | (2.12) | 9.04 | |
| TKR | Timken Company | (2.23) | 9 per month | 0.00 | (0.09) | 2.64 | (2.47) | 16.50 | |
| RBCP | RBC Bearings | 0.22 | 8 per month | 0.00 | (0.13) | 2.00 | (3.08) | 7.74 | |
| KMT | Kennametal | 0.14 | 7 per month | 1.50 | 0.05 | 2.76 | (2.06) | 23.53 | |
| TTC | Toro Co | (0.18) | 9 per month | 0.00 | (0.11) | 1.94 | (2.19) | 11.13 | |
| TTNDY | Techtronic Industries Ltd | 0.00 | 0 per month | 1.93 | (0.05) | 3.31 | (2.42) | 11.77 | |
| RBC | RBC Bearings Incorporated | 4.38 | 10 per month | 0.94 | 0.06 | 2.12 | (1.98) | 11.43 | |
| SCX | LS Starrett | 0.00 | 0 per month | 2.93 | 0.05 | 6.74 | (5.00) | 16.39 | |
| EML | Eastern Co | (1.66) | 10 per month | 0.00 | (0.07) | 4.10 | (3.42) | 12.25 | |
| HLMN | Hillman Solutions Corp | 0.04 | 8 per month | 1.15 | 0.11 | 3.36 | (2.18) | 7.63 |
Snap On Additional Predictive Modules
Most predictive techniques to examine Snap price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Snap using various technical indicators. When you analyze Snap 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 Snap On Predictive Indicators
The successful prediction of Snap On 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 Snap On, 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 Snap On based on analysis of Snap On hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Snap On's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Snap On's related companies. | 2016 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0148 | 0.0258 | 0.0296 | 0.0279 | Price To Sales Ratio | 2.9 | 2.71 | 2.44 | 1.3 |
Story Coverage note for Snap On
The number of cover stories for Snap On depends on current market conditions and Snap On's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Snap On 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 Snap On'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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Snap On Short Properties
Snap On's future price predictability will typically decrease when Snap On's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Snap On often depends not only on the future outlook of the potential Snap On'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. Snap On's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53.9 M | |
| Cash And Short Term Investments | 1 B |
Complementary Tools for Snap Stock analysis
When running Snap On's price analysis, check to measure Snap On'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 Snap On is operating at the current time. Most of Snap On's value examination focuses on studying past and present price action to predict the probability of Snap On's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snap On's price. Additionally, you may evaluate how the addition of Snap On to your portfolios can decrease your overall portfolio volatility.
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| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |