Mogo Stock Forecast - Simple Exponential Smoothing
| MOGODelisted Stock | USD 1.01 0.10 9.01% |
The Simple Exponential Smoothing forecasted value of Mogo Inc on the next trading day is expected to be 1.01 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.09. Mogo Stock Forecast is based on your current time horizon.
As of today the relative strength indicator of Mogo's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Mogo hype-based prediction, you can estimate the value of Mogo Inc from the perspective of Mogo response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Mogo Inc on the next trading day is expected to be 1.01 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.09. Mogo after-hype prediction price | USD 0.95 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Mogo |
Mogo Additional Predictive Modules
Most predictive techniques to examine Mogo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Mogo using various technical indicators. When you analyze Mogo charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Mogo Simple Exponential Smoothing Price Forecast For the 8th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Mogo Inc on the next trading day is expected to be 1.01 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.09.Please note that although there have been many attempts to predict Mogo 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 Mogo's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mogo Stock Forecast Pattern
| Backtest Mogo | Mogo Price Prediction | Buy or Sell Advice |
Mogo Forecasted Value
In the context of forecasting Mogo'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. Mogo's downside and upside margins for the forecasting period are 0.01 and 4.14, respectively. We have considered Mogo'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Mogo stock data series using in forecasting. Note that when a statistical model is used to represent Mogo 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 | 110.0505 |
| Bias | Arithmetic mean of the errors | 0.0155 |
| MAD | Mean absolute deviation | 0.0348 |
| MAPE | Mean absolute percentage error | 0.0263 |
| SAE | Sum of the absolute errors | 2.09 |
Predictive Modules for Mogo
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mogo 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.Other Forecasting Options for Mogo
For every potential investor in Mogo, whether a beginner or expert, Mogo's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Mogo Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Mogo. Basic forecasting techniques help filter out the noise by identifying Mogo's price trends.Mogo 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 Mogo stock to make a market-neutral strategy. Peer analysis of Mogo could also be used in its relative valuation, which is a method of valuing Mogo by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Mogo Inc 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 Mogo'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 Mogo's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Mogo Market Strength Events
Market strength indicators help investors to evaluate how Mogo stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Mogo shares will generate the highest return on investment. By undertsting and applying Mogo stock market strength indicators, traders can identify Mogo Inc entry and exit signals to maximize returns.
Mogo Risk Indicators
The analysis of Mogo'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 Mogo's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mogo 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 | 2.49 | |||
| Standard Deviation | 3.13 | |||
| Variance | 9.77 |
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 Mogo
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 Mogo 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 Mogo will appreciate offsetting losses from the drop in the long position's value.Moving together with Mogo Stock
Moving against Mogo Stock
| 0.81 | ECPG | Encore Capital Group | PairCorr |
| 0.75 | OMF | OneMain Holdings | PairCorr |
| 0.71 | ENVA | Enova International | PairCorr |
| 0.66 | BFH | Bread Financial Holdings | PairCorr |
| 0.54 | EZPW | EZCORP Inc Normal Trading | PairCorr |
The ability to find closely correlated positions to Mogo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mogo 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 Mogo - 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 Mogo Inc to buy it.
The correlation of Mogo 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 Mogo moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mogo 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 Mogo 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.Check out Historical Fundamental Analysis of Mogo to cross-verify your projections. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Other Consideration for investing in Mogo Stock
If you are still planning to invest in Mogo 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 Mogo's history and understand the potential risks before investing.
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