Feng Hsin Stock Forecast - Day Median Price
| 2015 Stock | TWD 70.70 0.10 0.14% |
Feng Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Feng Hsin stock prices and determine the direction of Feng Hsin Steel's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Feng Hsin's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Feng Hsin to cross-verify your projections. Feng |
Most investors in Feng Hsin 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 Feng Hsin's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Feng Hsin'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 |
| 70.55 | 70.55 |
| Check Feng Hsin Volatility | Backtest Feng Hsin | Information Ratio |
Feng Hsin Trading Date Momentum
| On May 07 2024 Feng Hsin Steel was traded for 70.70 at the closing time. The highest price during the trading period was 71.10 and the lowest recorded bid was listed for 70.00 . The volume for the day was 353.6 K. This history from May 7, 2024 did not affect price variability. The overall trading delta to the current price is 0.57% . |
The median price is the midpoint of the trading periods range.
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Other Forecasting Options for Feng Hsin
For every potential investor in Feng, whether a beginner or expert, Feng Hsin's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Feng Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Feng. Basic forecasting techniques help filter out the noise by identifying Feng Hsin's price trends.Feng Hsin 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 Feng Hsin stock to make a market-neutral strategy. Peer analysis of Feng Hsin could also be used in its relative valuation, which is a method of valuing Feng Hsin by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Feng Hsin Steel 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 Feng Hsin'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 Feng Hsin's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Feng Hsin Market Strength Events
Market strength indicators help investors to evaluate how Feng Hsin stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Feng Hsin shares will generate the highest return on investment. By undertsting and applying Feng Hsin stock market strength indicators, traders can identify Feng Hsin Steel entry and exit signals to maximize returns.
Feng Hsin Risk Indicators
The analysis of Feng Hsin'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 Feng Hsin's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting feng 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 | 0.6582 | |||
| Semi Deviation | 1.04 | |||
| Standard Deviation | 1.0 | |||
| Variance | 1.0 | |||
| Downside Variance | 1.55 | |||
| Semi Variance | 1.08 | |||
| Expected Short fall | (0.74) |
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.
Thematic Opportunities
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Check out Historical Fundamental Analysis of Feng Hsin to cross-verify your projections. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for Feng Stock analysis
When running Feng Hsin's price analysis, check to measure Feng Hsin'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 Feng Hsin is operating at the current time. Most of Feng Hsin's value examination focuses on studying past and present price action to predict the probability of Feng Hsin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Feng Hsin's price. Additionally, you may evaluate how the addition of Feng Hsin to your portfolios can decrease your overall portfolio volatility.
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