Big Time Crypto Coin Forecast - Polynomial Regression
| BIGTIME Crypto | USD 0.15 0.01 7.14% |
The Polynomial Regression forecasted value of Big Time on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.03. Big Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Big Time crypto prices and determine the direction of Big Time's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Big Time's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Big Time Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Big Time on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 1.03.Please note that although there have been many attempts to predict Big Crypto Coin 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 Big Time's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Big Time Crypto Coin Forecast Pattern
Big Time Forecasted Value
In the context of forecasting Big Time's Crypto Coin 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. Big Time's downside and upside margins for the forecasting period are 0 and 10.61, respectively. We have considered Big Time'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Big Time crypto coin data series using in forecasting. Note that when a statistical model is used to represent Big Time crypto coin, 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 | 112.0975 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0167 |
| MAPE | Mean absolute percentage error | 0.1314 |
| SAE | Sum of the absolute errors | 1.0342 |
Predictive Modules for Big Time
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Time. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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 Big Time
For every potential investor in Big, whether a beginner or expert, Big Time's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Big Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Big. Basic forecasting techniques help filter out the noise by identifying Big Time's price trends.Big Time 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 Big Time crypto coin to make a market-neutral strategy. Peer analysis of Big Time could also be used in its relative valuation, which is a method of valuing Big Time by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Big Time Technical and Predictive Analytics
The crypto coin market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Big Time'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 Big Time's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
Big Time Market Strength Events
Market strength indicators help investors to evaluate how Big Time crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Big Time shares will generate the highest return on investment. By undertsting and applying Big Time crypto coin market strength indicators, traders can identify Big Time entry and exit signals to maximize returns.
| Accumulation Distribution | 36249.2 | |||
| Daily Balance Of Power | 1.0 | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 0.15 | |||
| Day Typical Price | 0.15 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.01 |
Big Time Risk Indicators
The analysis of Big Time'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 Big Time's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting big crypto coin 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 | 7.24 | |||
| Semi Deviation | 5.33 | |||
| Standard Deviation | 10.34 | |||
| Variance | 106.84 | |||
| Downside Variance | 55.04 | |||
| Semi Variance | 28.42 | |||
| Expected Short fall | (12.94) |
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.When determining whether Big Time is a strong investment it is important to analyze Big Time's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Big Time's future performance.Check out Historical Fundamental Analysis of Big Time to cross-verify your projections. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.