Stein Stock Price Prediction

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SMRT -- USA Stock  

USD 0.34  0.03  8.11%

Stein Mart stock price prediction is an act of determining the future value of Stein Mart shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Stein Mart stock future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Stein Mart, which may create opportunities for some arbitrage if properly timed. Additionally, take a look at Stein Mart Basic Forecasting Models to cross-verify your projections.

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It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Stein Mart based on different types of headlines from major news networks to social media. The Stein stock price prediction module provides an analysis of price elasticity to changes in media outlook on Stein Mart over a specific investment horizon. Using Stein Mart hype-based prediction, you can estimate the value of Stein Mart from the perspective of Stein Mart response to recently generated media hype and the effects of current headlines on its competitors. Stein Mart Receivables Turnover is comparatively stable at the moment as compared to the past year. Stein Mart reported Receivables Turnover of 146.52 in 2019. Quick Ratio is likely to grow to 0.37 in 2020, whereas Book Value per Share is likely to drop 7.20 in 2020.
This module is based on analyzing investor sentiment around taking a position in Stein Mart. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Stein Mart to buy its stock at a price that has no basis in reality. In that case, they are not buying Stein 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.

Stein Mart after-hype prediction price

 = 
0.31
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.
Intrinsic
Valuation
LowReal ValueHigh
0.102.0012.22
Details
2 Analysts
Consensus
LowTarget PriceHigh
7.007.007.00
Details

Stein Mart After-Hype Price Prediction Density Analysis

As far as predicting the price of Stein Mart 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 Stein Mart 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 smart people who confused the symmetrical distributions of stock prices, such as prices of Stein Mart, with the unreliable approximations that try to describe financial returns.
 Next price density 
      Expected price to next headline 

Stein Mart Estimiated After-Hype Price Volatility

Current Value
0.34
5th of July 2020
0.31
After-hype Price
10.53
Upside
Stein Mart is extremely dangerous asset. Analysis and calculation of next after-hype price of Stein Mart is based on 3 months time horizon.

Stein Mart Stock Price Prediction Analysis

Daily Expected returnPeriod VolatilityHype elasticityRelated hype elasticityAverage news densityRelated news densityNext Expected Hype
 0.41  10.22  0.01   0.05  8 Events / Month7 Events / MonthIn about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.340.318.82 
34,067  

Stein Mart Hype Timeline

Stein Mart is at this time traded for 0.34. The entity has historical hype elasticity of 0.01 and average elasticity to hype of competition of 0.05. Stein is projected to decline in value after the next headline with price expected to drop to 0.31. The average volatility of media hype impact on the company stock price is over 100%. The price decrease on the next news is expected to be -8.82% whereas the daily expected return is at this time at 0.41%. The volatility of related hype on Stein Mart is about 8047.24% with expected price after next announcement by competition of 0.39. About 48.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.52. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Stein Mart recorded loss per share of 1.69. The entity last dividend was issued on the 29th of March 2017. The firm had 2:1 split on 26th of May 1998. Given the investment horizon of 30 days, the next projected press release will be in about 8 days.
Additionally, take a look at Stein Mart Basic Forecasting Models to cross-verify your projections.

Stein Mart Related Hype Analysis

Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
INDITEX IND DE(0.04) 3 per month 3.99  0.0292  7.09 (7.41)  23.15 
TJX Companies(0.10) 9 per month 2.94 (0.0109)  5.61 (4.83)  17.52 
FAST RETAILING LTD 0.78 7 per month 2.59  0.17  6.49 (4.97)  15.85 
Fast Retailing 0.00 10 per month 1.45  0.14  6.45 (2.31)  20.05 
Ross Stores 2.37 9 per month 3.34 (0.0299)  6.25 (5.86)  23.32 
Next Group Plc 0.32 9 per month 5.80  0.06  7.44 (11.18)  35.56 
Gap Inc 0.83 10 per month 6.56  0.12  15.80 (10.28)  29.91 
L Brands 1.06 9 per month 5.87  0.06  11.72 (10.31)  29.59 
Carters(3.58) 6 per month 3.05  0.0434  7.42 (4.86)  16.69 
American Eagle Outfitters(0.37) 7 per month 5.61  0.07  9.54 (8.01)  40.49 

Stein Mart Additional Predictive Modules

Most predictive techniques to examine Stein stock price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stein using various technical indicators. When you analyze Stein 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
Stochastic
Moving Average Convergence Divergence
Directional Movement Index
Moving Average Convergence Divergence Fix
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page