FarmStory (Korea) Price on November 11, 2024

FarmStory Valuation on November 11, 2024

FarmStory Trading Date Momentum on November 11, 2024

On November 12 2024 FarmStory Co was traded for  1,199  at the closing time. The highest price during the trading period was 1,254  and the lowest recorded bid was listed for  1,187 . The volume for the day was 569.4 K. This history from November 12, 2024 contributed to the next trading day price decline. The daily price change to the next closing price was 4.00% . The overall trading delta to the current price is 4.24% .

FarmStory Fundamentals Correlations and Trends

By evaluating FarmStory's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among FarmStory's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. FarmStory financial account trend analysis is a perfect complement when working with valuation or volatility modules.

FarmStory investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for FarmStory is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in FarmStory will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing FarmStory stock prices may prove useful in developing a viable investing in FarmStory

FarmStory technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.

Market strength indicators help investors to evaluate how FarmStory stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FarmStory shares will generate the highest return on investment. By undertsting and applying FarmStory stock market strength indicators, traders can identify FarmStory Co entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for FarmStory's price direction in advance. Along with the technical and fundamental analysis of FarmStory Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of FarmStory to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

When running FarmStory's price analysis, check to measure FarmStory'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 FarmStory is operating at the current time. Most of FarmStory's value examination focuses on studying past and present price action to predict the probability of FarmStory's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FarmStory's price. Additionally, you may evaluate how the addition of FarmStory to your portfolios can decrease your overall portfolio volatility.