Cantor Equity Stock Forecast - Triple Exponential Smoothing

CEP Stock   10.21  0.05  0.49%   
The Triple Exponential Smoothing forecasted value of Cantor Equity Partners, on the next trading day is expected to be 10.19 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.86. Cantor Stock Forecast is based on your current time horizon. Although Cantor Equity's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cantor Equity's systematic risk associated with finding meaningful patterns of Cantor Equity fundamentals over time.
  
As of 11/29/2024, Total Current Liabilities is likely to drop to about 207.4 K. In addition to that, Total Stockholder Equity is likely to grow to about (280.3 K).
Triple exponential smoothing for Cantor Equity - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Cantor Equity prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Cantor Equity price movement. However, neither of these exponential smoothing models address any seasonality of Cantor Equity Partners,.

Cantor Equity Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Cantor Equity Partners, on the next trading day is expected to be 10.19 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.86.
Please note that although there have been many attempts to predict Cantor Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Cantor Equity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cantor Equity Stock Forecast Pattern

Backtest Cantor EquityCantor Equity Price PredictionBuy or Sell Advice 

Cantor Equity Forecasted Value

In the context of forecasting Cantor Equity's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Cantor Equity's downside and upside margins for the forecasting period are 10.00 and 10.38, respectively. We have considered Cantor Equity's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
10.21
10.19
Expected Value
10.38
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Cantor Equity stock data series using in forecasting. Note that when a statistical model is used to represent Cantor Equity stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 7.0E-4
MADMean absolute deviation0.0146
MAPEMean absolute percentage error0.0014
SAESum of the absolute errors0.8603
As with simple exponential smoothing, in triple exponential smoothing models past Cantor Equity observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Cantor Equity Partners, observations.

Predictive Modules for Cantor Equity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cantor Equity Partners,. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cantor Equity'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.
Hype
Prediction
LowEstimatedHigh
10.0210.2110.40
Details
Intrinsic
Valuation
LowRealHigh
8.368.5511.23
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.9910.1610.34
Details

Other Forecasting Options for Cantor Equity

For every potential investor in Cantor, whether a beginner or expert, Cantor Equity's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cantor Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cantor. Basic forecasting techniques help filter out the noise by identifying Cantor Equity's price trends.

Cantor Equity Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Cantor Equity stock to make a market-neutral strategy. Peer analysis of Cantor Equity could also be used in its relative valuation, which is a method of valuing Cantor Equity by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Cantor Equity Partners, Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Cantor Equity's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Cantor Equity's current price.

Cantor Equity Market Strength Events

Market strength indicators help investors to evaluate how Cantor Equity stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cantor Equity shares will generate the highest return on investment. By undertsting and applying Cantor Equity stock market strength indicators, traders can identify Cantor Equity Partners, entry and exit signals to maximize returns.

Cantor Equity Risk Indicators

The analysis of Cantor Equity's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Cantor Equity's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cantor stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Pair Trading with Cantor Equity

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cantor Equity position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cantor Equity will appreciate offsetting losses from the drop in the long position's value.

Moving together with Cantor Stock

  0.84DPCS DP Cap AcquisitionPairCorr
  0.73DSAQ Direct Selling AcquiPairCorr

Moving against Cantor Stock

  0.65FIAC Focus Impact Acquisition Symbol ChangePairCorr
  0.61IMAQR International MediaPairCorr
  0.35IMAQW International MediaPairCorr
  0.33IMAQU International MediaPairCorr
The ability to find closely correlated positions to Cantor Equity could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cantor Equity when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cantor Equity - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cantor Equity Partners, to buy it.
The correlation of Cantor Equity is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cantor Equity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cantor Equity Partners, moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cantor Equity can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Cantor Stock Analysis

When running Cantor Equity's price analysis, check to measure Cantor Equity'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 Cantor Equity is operating at the current time. Most of Cantor Equity's value examination focuses on studying past and present price action to predict the probability of Cantor Equity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cantor Equity's price. Additionally, you may evaluate how the addition of Cantor Equity to your portfolios can decrease your overall portfolio volatility.