Deere Stock Forecast - Coefficient Of Variation
| DE Stock | USD 393.80 3.47 0.87% |
Deere Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Deere stock prices and determine the direction of Deere Company's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Deere's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Deere's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Deere's systematic risk associated with finding meaningful patterns of Deere fundamentals over time.
Check out Historical Fundamental Analysis of Deere to cross-verify your projections. Deere |
Open Interest Against 2024-04-19 Deere Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Deere's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Deere's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Deere stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Deere's open interest, investors have to compare it to Deere's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Deere is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Deere. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Deere cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Deere's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Deere's price structures and extracts relationships that further increase the generated results' accuracy.
| Check Deere Volatility | Backtest Deere | Information Ratio |
Deere Trading Date Momentum
| On April 16 2024 Deere Company was traded for 393.80 at the closing time. The highest price during the trading period was 404.22 and the lowest recorded bid was listed for 392.57 . There was no trading activity during the period 0.0. Lack of trading volume on April 16, 2024 did not affect price variability. The overall trading delta to the current price is 2.16% . |
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Other Forecasting Options for Deere
For every potential investor in Deere, whether a beginner or expert, Deere's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Deere Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Deere. Basic forecasting techniques help filter out the noise by identifying Deere's price trends.Deere 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 Deere stock to make a market-neutral strategy. Peer analysis of Deere could also be used in its relative valuation, which is a method of valuing Deere by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Deere Company 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 Deere'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 Deere's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Deere Market Strength Events
Market strength indicators help investors to evaluate how Deere stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Deere shares will generate the highest return on investment. By undertsting and applying Deere stock market strength indicators, traders can identify Deere Company entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0288 | |||
| Daily Balance Of Power | (0.30) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 398.4 | |||
| Day Typical Price | 396.86 | |||
| Market Facilitation Index | 11.65 | |||
| Price Action Indicator | (6.33) | |||
| Period Momentum Indicator | (3.47) |
Deere Risk Indicators
The analysis of Deere'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 Deere's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deere 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 | 0.8854 | |||
| Semi Deviation | 1.51 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 | |||
| Downside Variance | 2.37 | |||
| Semi Variance | 2.28 | |||
| Expected Short fall | (0.83) |
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 Deere
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 Deere 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 Deere will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Deere could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deere 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 Deere - 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 Deere Company to buy it.
The correlation of Deere 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 Deere moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deere Company 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 Deere 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 Deere to cross-verify your projections. Note that the Deere Company information on this page should be used as a complementary analysis to other Deere's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Complementary Tools for Deere Stock analysis
When running Deere's price analysis, check to measure Deere'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 Deere is operating at the current time. Most of Deere's value examination focuses on studying past and present price action to predict the probability of Deere's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deere's price. Additionally, you may evaluate how the addition of Deere to your portfolios can decrease your overall portfolio volatility.
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Is Deere's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Deere. If investors know Deere will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Deere listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.05) | Dividend Share 5.32 | Earnings Share 34.3 | Revenue Per Share 211.12 | Quarterly Revenue Growth (0.04) |
The market value of Deere Company is measured differently than its book value, which is the value of Deere that is recorded on the company's balance sheet. Investors also form their own opinion of Deere's value that differs from its market value or its book value, called intrinsic value, which is Deere's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Deere's market value can be influenced by many factors that don't directly affect Deere's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Deere's value and its price as these two are different measures arrived at by different means. Investors typically determine if Deere is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Deere's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.