GreenPower Stock Forecast - Daily Balance Of Power
| GP Stock | USD 0.84 0.02 2.44% |
GreenPower Stock Forecast is based on your current time horizon. Although GreenPower's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of GreenPower's systematic risk associated with finding meaningful patterns of GreenPower fundamentals over time.
GreenPower |
| Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
| 0.6667 | (0.67) |
| Check GreenPower Volatility | Backtest GreenPower | Trend Details |
GreenPower Trading Date Momentum
| On November 21 2024 GreenPower Motor was traded for 0.82 at the closing time. The highest price during the trading period was 0.82 and the lowest recorded bid was listed for 0.80 . The volume for the day was 56 K. This history from November 21, 2024 contributed to the next trading day price gain. The overall trading delta to the next closing price was 3.80% . The overall trading delta to the current price is 1.27% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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Other Forecasting Options for GreenPower
For every potential investor in GreenPower, whether a beginner or expert, GreenPower's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GreenPower Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GreenPower. Basic forecasting techniques help filter out the noise by identifying GreenPower's price trends.GreenPower 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 GreenPower stock to make a market-neutral strategy. Peer analysis of GreenPower could also be used in its relative valuation, which is a method of valuing GreenPower by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GreenPower Motor 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 GreenPower'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 GreenPower's current price.| Cycle Indicators | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GreenPower Market Strength Events
Market strength indicators help investors to evaluate how GreenPower stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GreenPower shares will generate the highest return on investment. By undertsting and applying GreenPower stock market strength indicators, traders can identify GreenPower Motor entry and exit signals to maximize returns.
GreenPower Risk Indicators
The analysis of GreenPower'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 GreenPower's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting greenpower 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 | 5.13 | |||
| Semi Deviation | 5.7 | |||
| Standard Deviation | 7.76 | |||
| Variance | 60.22 | |||
| Downside Variance | 41.26 | |||
| Semi Variance | 32.43 | |||
| Expected Short fall | (7.88) |
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 GreenPower
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 GreenPower 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 GreenPower will appreciate offsetting losses from the drop in the long position's value.Moving against GreenPower Stock
| 0.68 | SHYF | Shyft Group | PairCorr |
| 0.64 | ASTE | Astec Industries | PairCorr |
| 0.55 | OSK | Oshkosh | PairCorr |
| 0.53 | ALG | Alamo Group | PairCorr |
| 0.45 | REVG | Rev Group Fiscal Year End 11th of December 2024 | PairCorr |
The ability to find closely correlated positions to GreenPower could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GreenPower 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 GreenPower - 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 GreenPower Motor to buy it.
The correlation of GreenPower 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 GreenPower moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GreenPower Motor 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 GreenPower 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.Additional Tools for GreenPower Stock Analysis
When running GreenPower's price analysis, check to measure GreenPower'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 GreenPower is operating at the current time. Most of GreenPower's value examination focuses on studying past and present price action to predict the probability of GreenPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GreenPower's price. Additionally, you may evaluate how the addition of GreenPower to your portfolios can decrease your overall portfolio volatility.