PancakeSwap Price Prediction Breakdown

CAKE
 Crypto
  

USD 4.41  0.25  6.01%   

PancakeSwap crypto price prediction is an act of determining the future value of PancakeSwap shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of PancakeSwap's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of PancakeSwap and does not consider all of the tangible or intangible factors available from PancakeSwap's fundamental data. We analyze noise-free headlines and recent hype associated with PancakeSwap, which may create opportunities for some arbitrage if properly timed.
Continue to PancakeSwap Basic Forecasting Models to cross-verify your projections.
  
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 PancakeSwap based on different types of headlines from major news networks to social media. The PancakeSwap price prediction module provides an analysis of price elasticity to changes in media outlook on PancakeSwap over a specific investment horizon.Using PancakeSwap hype-based prediction, you can estimate the value of PancakeSwap from the perspective of PancakeSwap response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in PancakeSwap. 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 PancakeSwap to buy its stock at a price that has no basis in reality. In that case, they are not buying PancakeSwap 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.

PancakeSwap after-hype prediction price

    
  .CC 4.39  
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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of PancakeSwap's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of PancakeSwap in the context of predictive analytics.
Intrinsic
Valuation
LowReal ValueHigh
0.173.439.37
Details
Naive
Forecast
LowNext ValueHigh
0.094.6610.60
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2.603.444.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as PancakeSwap. Your research has to be compared to or analyzed against PancakeSwap's peers to derive any actionable benefits. When done correctly, PancakeSwap's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in PancakeSwap.

PancakeSwap After-Hype Price Prediction Density Analysis

As far as predicting the price of PancakeSwap 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 PancakeSwap 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 PancakeSwap, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

PancakeSwap Estimiated After-Hype Price Volatility

In the context of predicting PancakeSwap's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PancakeSwap's historical news coverage. PancakeSwap's after-hype downside and upside margins for the prediction period are 0.22 and 10.33, respectively. We have considered PancakeSwap'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 4.41
4.39
After-hype Price
10.33
Upside
PancakeSwap is unusually risky asset. Analysis and calculation of next after-hype price of PancakeSwap is based on 3 months time horizon.

PancakeSwap Crypto Coin Price Prediction Analysis

Have you ever been surprised when a price of a cryptocurrency such as PancakeSwap is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PancakeSwap 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 PancakeSwap, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.39  5.94   0.02   0.01  2 Events / Month7 Events / MonthIn a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
4.414.390.45 
11,880  

PancakeSwap Hype Timeline

PancakeSwap is currently traded for 4.41. The entity has historical hype elasticity of -0.02 and average elasticity to hype of competition of 0.01. PancakeSwap is estimated to decline in value after the next headline with price expected to drop to 4.39. The average volatility ofmedia hypeimpact on the company stock price is over 100%. The price decline on the next newsis expected to be -0.45% whereas the daily expected return is currently at 0.39%. The volatility of related hype on PancakeSwap is about 27044.7% with expected price after next announcement by competition of 4.42. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next estimatedpress releasewill be in a few days.
Continue to PancakeSwap Basic Forecasting Models to cross-verify your projections.

PancakeSwap Related Hype Analysis

Having access to credible news sources related to PancakeSwap's direct competition is more important than ever and may enhance your ability to predict PancakeSwap's future price movements. Getting to know how PancakeSwap rivals 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 PancakeSwap may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
XRPXRP 0.00 6 per month 0.00 (0.07)  6.45 (9.09)  21.64 
SOLSolana 1.15 10 per month 0.00 (0.05)  11.92 (13.34)  34.00 
AVAXAvalanche(0.33) 9 per month 0.00 (0.0359)  12.99 (15.23)  30.18 
DOTPolkadot(0.32) 8 per month 0.00 (0.0165)  10.09 (13.52)  36.51 
FTTFTX Token 0.00 0 per month 0.00 (0.0018)  6.43 (8.78)  32.05 
MATICPolygon(0.01) 6 per month 9.33  0.0477  18.52 (13.70)  38.15 
UNIUniswap Protocol Token 0.00 0 per month 7.47  0.1  14.73 (12.30)  45.31 
LINKChainlink(0.24) 9 per month 7.75  0.0413  12.31 (13.22)  30.69 
OPOptimism(0.01) 4 per month 3.69  0.21  26.51 (9.94)  50.16 
DAIDai 0.00 4 per month 0.00  0.00  0.00  0.00  0.00 
TRXTRON 0.0016 7 per month 0.00 (0.0084)  6.57 (6.03)  37.50 

PancakeSwap Additional Predictive Modules

Most predictive techniques to examine PancakeSwap price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PancakeSwap using various technical indicators. When you analyze PancakeSwap 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.

About PancakeSwap Predictive Indicators

The successful prediction of PancakeSwap 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 PancakeSwap, 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 PancakeSwap based on analysis of PancakeSwap hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PancakeSwap's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PancakeSwap's related companies.

Story Coverage note for PancakeSwap

The number of cover stories for PancakeSwap depends on current market conditions and PancakeSwap's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PancakeSwap 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 PancakeSwap's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Continue to PancakeSwap Basic Forecasting Models to cross-verify your projections. Note that the PancakeSwap information on this page should be used as a complementary analysis to other PancakeSwap's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Other Tools for PancakeSwap Crypto Coin

When running PancakeSwap price analysis, check to measure PancakeSwap'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 PancakeSwap is operating at the current time. Most of PancakeSwap's value examination focuses on studying past and present price action to predict the probability of PancakeSwap's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move PancakeSwap's price. Additionally, you may evaluate how the addition of PancakeSwap to your portfolios can decrease your overall portfolio volatility.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Go
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Go
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Go
CEO Directory
Screen CEOs from public companies around the world
Go
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Go
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Go
Shere Portfolio
Track or share privately all of your investments from the convenience of any device
Go