Mogo Stock Forecast - Period Momentum Indicator
MOGO Stock | CAD 2.05 0.04 1.99% |
Mogo Stock Forecast is based on your current time horizon. Although Mogo's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Mogo's systematic risk associated with finding meaningful patterns of Mogo fundamentals over time.
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Mogo Trading Date Momentum
On November 26 2024 Mogo Inc was traded for 2.05 at the closing time. The highest price during the trading period was 2.06 and the lowest recorded bid was listed for 1.99 . There was no trading activity during the period 0.0. Lack of trading volume on November 26, 2024 did not cause price change. The trading delta at closing time to the current price is 2.93% . |
Generally speaking extended values of the momentum indicator over time are good indicators of oversold or over brought conditions.
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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 | 3.07 | |||
Semi Deviation | 2.58 | |||
Standard Deviation | 4.86 | |||
Variance | 23.65 | |||
Downside Variance | 9.22 | |||
Semi Variance | 6.65 | |||
Expected Short fall | (5.02) |
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 against Mogo Stock
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.