AppHarvest Stock Forecast - Day Median Price
| APPHDelisted Stock | USD 0.01 0.0004 2.84% |
AppHarvest Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast AppHarvest stock prices and determine the direction of AppHarvest's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of AppHarvest's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. AppHarvest |
Most investors in AppHarvest 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 AppHarvest's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets AppHarvest's price structures and extracts relationships that further increase the generated results' accuracy.
Median Price is the statistical median of an asset price for a given trading period.| Previous Day Median Price | Day Median Price | Trend |
| 0.0165 | 0.0165 |
| Check AppHarvest Volatility | Backtest AppHarvest | Information Ratio |
AppHarvest Trading Date Momentum
| On April 25 2024 AppHarvest was traded for 0.01 at the closing time. The top price for the day was 0.02 and the lowest listed price was 0.01 . There was no trading activity during the period 0.0. Lack of trading volume on April 25, 2024 did not affect price variability. The overall trading delta against the current closing price is 2.76% . |
The median price is the midpoint of the trading periods range.
Compare AppHarvest to competition
AppHarvest 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 AppHarvest stock to make a market-neutral strategy. Peer analysis of AppHarvest could also be used in its relative valuation, which is a method of valuing AppHarvest by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AppHarvest Market Strength Events
Market strength indicators help investors to evaluate how AppHarvest stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AppHarvest shares will generate the highest return on investment. By undertsting and applying AppHarvest stock market strength indicators, traders can identify AppHarvest entry and exit signals to maximize returns.
AppHarvest Risk Indicators
The analysis of AppHarvest'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 AppHarvest's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting appharvest 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 | 10.08 | |||
| Standard Deviation | 15.03 | |||
| Variance | 225.94 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AppHarvest in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AppHarvest's short interest history, or implied volatility extrapolated from AppHarvest options trading.
Pair Trading with AppHarvest
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 AppHarvest 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 AppHarvest will appreciate offsetting losses from the drop in the long position's value.Moving together with AppHarvest Stock
| 0.67 | PTAIF | PT Astra International | PairCorr |
Moving against AppHarvest Stock
| 0.89 | DIS | Walt Disney Report 8th of May 2024 | PairCorr |
| 0.84 | WMT | Walmart Financial Report 16th of May 2024 | PairCorr |
| 0.81 | PIFMF | PT Indofood Sukses | PairCorr |
| 0.79 | GE | GE Aerospace Financial Report 23rd of July 2024 | PairCorr |
| 0.77 | CAT | Caterpillar Earnings Call Today | PairCorr |
The ability to find closely correlated positions to AppHarvest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AppHarvest 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 AppHarvest - 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 AppHarvest to buy it.
The correlation of AppHarvest 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 AppHarvest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AppHarvest 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 AppHarvest 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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Other Consideration for investing in AppHarvest Stock
If you are still planning to invest in AppHarvest 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 AppHarvest's history and understand the potential risks before investing.
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges |