Goliath Resources Stock Volume Indicators On Balance Volume

GOT Stock  CAD 1.11  0.03  2.63%   
Goliath Resources volume indicators tool provides the execution environment for running the On Balance Volume indicator and other technical functions against Goliath Resources. Goliath Resources value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of volume indicators indicators. As with most other technical indicators, the On Balance Volume indicator function is designed to identify and follow existing trends. Goliath Resources volume indicators are based on Chaikin accumulation (buying pressure) and distribution (selling pressure) factors to determine the likely sustainability of a given price move.

Indicator
The output start index for this execution was zero with a total number of output elements of sixty-one. The On Balance Volume indicator was developed by Joe Granville to show time series momentum that relates Goliath Resources volume to price change. It can show when Goliath Resources is accumulated or sold by a large number of investors.

Goliath Resources Technical Analysis Modules

Most technical analysis of Goliath Resources help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Goliath from various momentum indicators to cycle indicators. When you analyze Goliath charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Goliath Resources Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Goliath Resources. We use our internally-developed statistical techniques to arrive at the intrinsic value of Goliath Resources based on widely used predictive technical indicators. In general, we focus on analyzing Goliath Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Goliath Resources's daily price indicators and compare them against related drivers, such as volume indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Goliath Resources's intrinsic value. In addition to deriving basic predictive indicators for Goliath Resources, we also check how macroeconomic factors affect Goliath Resources price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Interest Debt Per Share0.03670.0204
Revenue Per Share1.5E-51.4E-5
Hype
Prediction
LowEstimatedHigh
0.061.114.13
Details
Intrinsic
Valuation
LowRealHigh
0.051.024.04
Details
Naive
Forecast
LowNextHigh
0.021.194.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.971.101.23
Details

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Additional Tools for Goliath Stock Analysis

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