Boulder Growthome Fund Forecast - Simple Exponential Smoothing

BIFDelisted Fund  USD 13.28  0.06  0.45%   
The Simple Exponential Smoothing forecasted value of Boulder Growthome on the next trading day is expected to be 13.28 with a mean absolute deviation of  0.14  and the sum of the absolute errors of 5.44. Boulder Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Boulder Growthome stock prices and determine the direction of Boulder Growthome's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Boulder Growthome'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 fund could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
  
Most investors in Boulder Growthome cannot accurately predict what will happen the next trading day because, historically, fund 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 Boulder Growthome's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Boulder Growthome's price structures and extracts relationships that further increase the generated results' accuracy.
Boulder Growthome simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Boulder Growthome are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Boulder Growthome prices get older.

Boulder Growthome Simple Exponential Smoothing Price Forecast For the 26th of April

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Boulder Growthome on the next trading day is expected to be 13.28 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 5.44.
Please note that although there have been many attempts to predict Boulder Fund 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 Boulder Growthome's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Boulder Growthome Fund Forecast Pattern

Backtest Boulder GrowthomeBoulder Growthome Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Boulder Growthome fund data series using in forecasting. Note that when a statistical model is used to represent Boulder Growthome fund, 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 Criteria72.4133
BiasArithmetic mean of the errors 0.0316
MADMean absolute deviation0.1432
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors5.44
This simple exponential smoothing model begins by setting Boulder Growthome forecast for the second period equal to the observation of the first period. In other words, recent Boulder Growthome observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Boulder Growthome

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Boulder Growthome. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Boulder Growthome'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
13.2813.2813.28
Details
Intrinsic
Valuation
LowRealHigh
12.3412.3414.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.2013.3713.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Boulder Growthome. Your research has to be compared to or analyzed against Boulder Growthome's peers to derive any actionable benefits. When done correctly, Boulder Growthome'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 Boulder Growthome.

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

Boulder Growthome Market Strength Events

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

Pair Trading with Boulder Growthome

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 Boulder Growthome 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 Boulder Growthome will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Boulder Growthome could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Boulder Growthome 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 Boulder Growthome - 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 Boulder Growthome to buy it.
The correlation of Boulder Growthome 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 Boulder Growthome moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Boulder Growthome 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 Boulder Growthome 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 fund could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

Other Consideration for investing in Boulder Fund

If you are still planning to invest in Boulder Growthome 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 Boulder Growthome's history and understand the potential risks before investing.
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
AI Investment Finder
Use AI to screen and filter profitable investment opportunities
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Stocks Directory
Find actively traded stocks across global markets
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Commodity Directory
Find actively traded commodities issued by global exchanges
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios