Agronomics Limited Stock Price on December 14, 2024

Agronomics Valuation on December 14, 2024

Agronomics Trading Date Momentum on December 14, 2024

On December 14 2024 Agronomics Limited was traded for  0.05  at the closing time. The highest daily price throughout the period was 0.07  and the lowest price was  0.04 . There was no trading activity during the period 0.0. Lack of trading volume on 12/14/2024 did not affect price variability. The overall trading delta to current closing price is 2.53% .

Agronomics Limited Fundamentals Correlations and Trends

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

Agronomics 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 Agronomics is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Agronomics Limited 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 Agronomics stock prices may prove useful in developing a viable investing in Agronomics

Agronomics technical pink sheet 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, pink sheet market cycles, or different charting patterns.

Market strength indicators help investors to evaluate how Agronomics 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 Agronomics shares will generate the highest return on investment. By undertsting and applying Agronomics pink sheet market strength indicators, traders can identify Agronomics Limited entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for Agronomics' price direction in advance. Along with the technical and fundamental analysis of Agronomics Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Agronomics 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 Agronomics' price analysis, check to measure Agronomics' 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 Agronomics is operating at the current time. Most of Agronomics' value examination focuses on studying past and present price action to predict the probability of Agronomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agronomics' price. Additionally, you may evaluate how the addition of Agronomics to your portfolios can decrease your overall portfolio volatility.