Green Plains Stock Forecast - Daily Balance Of Power
| GPPDelisted Stock | USD 14.16 0.07 0.50% |
Green Stock Forecast is based on your current time horizon.
Green |
| Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
| (0.11) | (0.29) |
| Check Green Plains Volatility | Backtest Green Plains | Trend Details |
Green Plains Trading Date Momentum
| On June 27 2023 Green Plains Partners was traded for 12.42 at the closing time. Highest Green Plains's price during the trading hours was 12.60 and the lowest price during the day was 12.21 . The net volume was 45 K. The overall trading history on the 27th of June contributed to the next trading period price gain. The overall trading delta to the next next day price was 1.80% . The overall trading delta to current price is 7.05% . |
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.
Compare Green Plains to competition
Green Plains 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 Green Plains stock to make a market-neutral strategy. Peer analysis of Green Plains could also be used in its relative valuation, which is a method of valuing Green Plains by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Green Plains Market Strength Events
Market strength indicators help investors to evaluate how Green Plains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Green Plains shares will generate the highest return on investment. By undertsting and applying Green Plains stock market strength indicators, traders can identify Green Plains Partners entry and exit signals to maximize returns.
Green Plains Risk Indicators
The analysis of Green Plains' 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 Green Plains' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting green 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 | 1.27 | |||
| Semi Deviation | 1.32 | |||
| Standard Deviation | 1.63 | |||
| Variance | 2.67 | |||
| Downside Variance | 2.63 | |||
| Semi Variance | 1.73 | |||
| Expected Short fall | (1.39) |
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 Green Plains
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 Green Plains 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 Green Plains will appreciate offsetting losses from the drop in the long position's value.Moving against Green Stock
| 0.78 | PFE | Pfizer Inc Aggressive Push | PairCorr |
| 0.73 | PBCRY | Bank Central Asia | PairCorr |
| 0.7 | PPERY | Bank Mandiri Persero | PairCorr |
| 0.7 | BKRKY | Bank Rakyat | PairCorr |
| 0.63 | KO | Coca Cola Aggressive Push | PairCorr |
The ability to find closely correlated positions to Green Plains could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Plains 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 Green Plains - 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 Green Plains Partners to buy it.
The correlation of Green Plains 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 Green Plains moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Plains Partners 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 Green Plains 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 Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Consideration for investing in Green Stock
If you are still planning to invest in Green Plains Partners 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 Green Plains' history and understand the potential risks before investing.
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |