Hashflow USD Fund Forecast - Naive Prediction

0P00000XGU   14.47  0.00  0.00%   
The Naive Prediction forecasted value of Hashflow USD on the next trading day is expected to be 14.40 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.24. Investors can use prediction functions to forecast Hashflow USD's fund prices and determine the direction of Hashflow USD's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
A naive forecasting model for Hashflow USD is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Hashflow USD value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Hashflow USD Naive Prediction Price Forecast For the 11th of January 2025

Given 90 days horizon, the Naive Prediction forecasted value of Hashflow USD on the next trading day is expected to be 14.40 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.24.
Please note that although there have been many attempts to predict Hashflow 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 Hashflow USD's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hashflow USD Fund Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Hashflow USD fund data series using in forecasting. Note that when a statistical model is used to represent Hashflow USD 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 Criteria114.1791
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1023
MAPEMean absolute percentage error0.0075
SAESum of the absolute errors6.2423
This model is not at all useful as a medium-long range forecasting tool of Hashflow USD. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Hashflow USD. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Hashflow USD

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hashflow USD. 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.

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

Hashflow USD Market Strength Events

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

Hashflow USD Risk Indicators

The analysis of Hashflow USD'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 Hashflow USD's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hashflow fund 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.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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