Alfi Stock Forecast - Triple Exponential Smoothing

ALFDelisted Stock  USD 0.01  0.01  26.50%   
The Triple Exponential Smoothing forecasted value of Alfi Inc on the next trading day is expected to be 0.01 with a mean absolute deviation of  0.04  and the sum of the absolute errors of 2.13. Alfi Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Alfi stock prices and determine the direction of Alfi Inc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Alfi's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis.
  
Most investors in Alfi cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Alfi's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Alfi's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Alfi - 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 Alfi 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 Alfi price movement. However, neither of these exponential smoothing models address any seasonality of Alfi Inc.

Alfi Triple Exponential Smoothing Price Forecast For the 29th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Alfi Inc on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.13.
Please note that although there have been many attempts to predict Alfi 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 Alfi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alfi Stock Forecast Pattern

Backtest AlfiAlfi Price PredictionBuy or Sell Advice 

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 Alfi stock data series using in forecasting. Note that when a statistical model is used to represent Alfi 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 -0.0119
MADMean absolute deviation0.0361
MAPEMean absolute percentage error0.3555
SAESum of the absolute errors2.1271
As with simple exponential smoothing, in triple exponential smoothing models past Alfi 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 Alfi Inc observations.

Predictive Modules for Alfi

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alfi Inc. 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 Alfi'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
0.010.010.02
Details
Intrinsic
Valuation
LowRealHigh
0.010.010.02
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Alfi. Your research has to be compared to or analyzed against Alfi's peers to derive any actionable benefits. When done correctly, Alfi's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Alfi Inc.

Alfi 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 Alfi stock to make a market-neutral strategy. Peer analysis of Alfi could also be used in its relative valuation, which is a method of valuing Alfi by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Alfi Market Strength Events

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

Alfi Risk Indicators

The analysis of Alfi'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 Alfi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alfi 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 Alfi

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 Alfi 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 Alfi will appreciate offsetting losses from the drop in the long position's value.

Moving against Alfi Stock

  0.91MSFT Microsoft Fiscal Quarter End 31st of March 2024 PairCorr
  0.89CRWD Crowdstrike Holdings Financial Report 29th of May 2024 PairCorr
  0.78SNPS Synopsys Financial Report 15th of May 2024 PairCorr
  0.71ORCL Oracle Financial Report 10th of June 2024 PairCorr
  0.7WF Woori Financial Group Financial Report 21st of May 2024 PairCorr
The ability to find closely correlated positions to Alfi could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alfi 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 Alfi - 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 Alfi Inc to buy it.
The correlation of Alfi 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 Alfi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alfi Inc 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 Alfi 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis.
You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

Other Consideration for investing in Alfi Stock

If you are still planning to invest in Alfi Inc check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Alfi's history and understand the potential risks before investing.
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Transaction History
View history of all your transactions and understand their impact on performance
Global Correlations
Find global opportunities by holding instruments from different markets
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Bonds Directory
Find actively traded corporate debentures issued by US companies
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon