NH Foods Pink Sheet Forecast - Day Median Price
NIPMY Stock | USD 16.25 0.00 0.00% |
NIPMY Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NH Foods stock prices and determine the direction of NH Foods Ltd's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of NH Foods' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of NH Foods to cross-verify your projections. NIPMY |
Most investors in NH Foods 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 NH Foods' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets NH Foods' 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 |
16.25 | 16.25 |
Check NH Foods Volatility | Backtest NH Foods | Information Ratio |
NH Foods Trading Date Momentum
On May 11 2024 NH Foods Ltd was traded for 16.25 at the closing time. The highest daily price throughout the period was 16.25 and the lowest price was 16.25 . There was no trading activity during the period 0.0. Lack of trading volume on 05/11/2024 did not cause price change. The trading delta at closing time to current closing price is 0.00% . |
The median price is the midpoint of the trading periods range.
Compare NH Foods to competition |
Other Forecasting Options for NH Foods
For every potential investor in NIPMY, whether a beginner or expert, NH Foods' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NIPMY Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NIPMY. Basic forecasting techniques help filter out the noise by identifying NH Foods' price trends.NH Foods 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 NH Foods pink sheet to make a market-neutral strategy. Peer analysis of NH Foods could also be used in its relative valuation, which is a method of valuing NH Foods by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
NH Foods Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of NH Foods' 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 NH Foods' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
NH Foods Market Strength Events
Market strength indicators help investors to evaluate how NH Foods pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NH Foods shares will generate the highest return on investment. By undertsting and applying NH Foods pink sheet market strength indicators, traders can identify NH Foods Ltd entry and exit signals to maximize returns.
NH Foods Risk Indicators
The analysis of NH Foods' 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 NH Foods' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nipmy pink sheet 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 | 0.2273 | |||
Standard Deviation | 0.9375 | |||
Variance | 0.8788 |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of NH Foods to cross-verify your projections. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for NIPMY Pink Sheet analysis
When running NH Foods' price analysis, check to measure NH Foods' 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 NH Foods is operating at the current time. Most of NH Foods' value examination focuses on studying past and present price action to predict the probability of NH Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NH Foods' price. Additionally, you may evaluate how the addition of NH Foods to your portfolios can decrease your overall portfolio volatility.
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