Fusion Fuel Stock Forecast - Naive Prediction
| HTOOW Stock | USD 0.02 0.01 70.00% |
The Naive Prediction forecasted value of Fusion Fuel Green on the next trading day is expected to be 0.000034 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.34. Fusion Stock Forecast is based on your current time horizon.
Fusion |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Fusion Fuel's financial statements to predict how it will affect future prices.
Cash | First Reported 2010-12-31 | Previous Quarter 1.1 M | Current Value 1.1 M | Quarterly Volatility 14.9 M |
Fusion Fuel Naive Prediction Price Forecast For the 23rd of November
Given 90 days horizon, the Naive Prediction forecasted value of Fusion Fuel Green on the next trading day is expected to be 0.000034 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000045, and the sum of the absolute errors of 0.34.Please note that although there have been many attempts to predict Fusion 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 Fusion Fuel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fusion Fuel Stock Forecast Pattern
| Backtest Fusion Fuel | Fusion Fuel Price Prediction | Buy or Sell Advice |
Fusion Fuel Forecasted Value
In the context of forecasting Fusion Fuel'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. Fusion Fuel's downside and upside margins for the forecasting period are 0.0002 and 20.43, respectively. We have considered Fusion Fuel'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.
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 Fusion Fuel stock data series using in forecasting. Note that when a statistical model is used to represent Fusion Fuel 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.| AIC | Akaike Information Criteria | 108.1019 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0056 |
| MAPE | Mean absolute percentage error | 0.2058 |
| SAE | Sum of the absolute errors | 0.3387 |
Predictive Modules for Fusion Fuel
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fusion Fuel Green. 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.Other Forecasting Options for Fusion Fuel
For every potential investor in Fusion, whether a beginner or expert, Fusion Fuel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fusion Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fusion. Basic forecasting techniques help filter out the noise by identifying Fusion Fuel's price trends.Fusion Fuel 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 Fusion Fuel stock to make a market-neutral strategy. Peer analysis of Fusion Fuel could also be used in its relative valuation, which is a method of valuing Fusion Fuel by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fusion Fuel Green 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 Fusion Fuel'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 Fusion Fuel's current price.| Cycle Indicators | ||
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Fusion Fuel Market Strength Events
Market strength indicators help investors to evaluate how Fusion Fuel stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fusion Fuel shares will generate the highest return on investment. By undertsting and applying Fusion Fuel stock market strength indicators, traders can identify Fusion Fuel Green entry and exit signals to maximize returns.
| Accumulation Distribution | 36205.6 | |||
| Daily Balance Of Power | 1.029412 | |||
| Rate Of Daily Change | 1.7 | |||
| Day Median Price | 0.0136 | |||
| Day Typical Price | 0.0147 | |||
| Price Action Indicator | 0.0069 | |||
| Period Momentum Indicator | 0.007 |
Fusion Fuel Risk Indicators
The analysis of Fusion Fuel'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 Fusion Fuel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fusion 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.
| Mean Deviation | 11.4 | |||
| Standard Deviation | 18.26 | |||
| Variance | 333.56 |
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.
Also Currently Popular
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.Additional Tools for Fusion Stock Analysis
When running Fusion Fuel's price analysis, check to measure Fusion Fuel'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 Fusion Fuel is operating at the current time. Most of Fusion Fuel's value examination focuses on studying past and present price action to predict the probability of Fusion Fuel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fusion Fuel's price. Additionally, you may evaluate how the addition of Fusion Fuel to your portfolios can decrease your overall portfolio volatility.