Oceanic Iron Ore Stock Market Value
FEOVF Stock | USD 0.06 0.02 50.00% |
Symbol | Oceanic |
Oceanic Iron 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Oceanic Iron's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Oceanic Iron.
03/18/2024 |
| 04/17/2024 |
If you would invest 0.00 in Oceanic Iron on March 18, 2024 and sell it all today you would earn a total of 0.00 from holding Oceanic Iron Ore or generate 0.0% return on investment in Oceanic Iron over 30 days. Oceanic Iron is related to or competes with Royce Opportunity, Oxford Biomedica, HP, Forte Biosciences, Merck, Johnson Johnson, and Chevron Corp. Oceanic Iron Ore Corp., an exploration stage company, acquires and explores for iron ore properties in Qubec, Canada More
Oceanic Iron Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Oceanic Iron's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Oceanic Iron Ore upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0261 | |||
Maximum Drawdown | 33.33 |
Oceanic Iron Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oceanic Iron's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oceanic Iron's standard deviation. In reality, there are many statistical measures that can use Oceanic Iron historical prices to predict the future Oceanic Iron's volatility.Risk Adjusted Performance | 0.0305 | |||
Jensen Alpha | 0.3523 | |||
Total Risk Alpha | (0.33) | |||
Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oceanic Iron's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Oceanic Iron Ore Backtested Returns
Oceanic Iron appears to be out of control, given 3 months investment horizon. Oceanic Iron Ore maintains Sharpe Ratio (i.e., Efficiency) of 0.035, which implies the firm had a 0.035% return per unit of risk over the last 3 months. We have found nineteen technical indicators for Oceanic Iron Ore, which you can use to evaluate the volatility of the company. Please evaluate Oceanic Iron's Risk Adjusted Performance of 0.0305, variance of 55.49, and Coefficient Of Variation of 2949.89 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Oceanic Iron holds a performance score of 2. The company holds a Beta of -2.28, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Oceanic Iron are expected to decrease by larger amounts. On the other hand, during market turmoil, Oceanic Iron is expected to outperform it. Please check Oceanic Iron's mean deviation, jensen alpha, as well as the relationship between the Jensen Alpha and rate of daily change , to make a quick decision on whether Oceanic Iron's historical price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Oceanic Iron Ore has no correlation between past and present. Overlapping area represents the amount of predictability between Oceanic Iron time series from 18th of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oceanic Iron Ore price movement. The serial correlation of 0.0 indicates that just 0.0% of current Oceanic Iron price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Oceanic Iron Ore lagged returns against current returns
Autocorrelation, which is Oceanic Iron pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Oceanic Iron's pink sheet expected returns. We can calculate the autocorrelation of Oceanic Iron returns to help us make a trade decision. For example, suppose you find that Oceanic Iron has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Oceanic Iron regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Oceanic Iron pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oceanic Iron pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oceanic Iron pink sheet over time.
Current vs Lagged Prices |
Timeline |
Oceanic Iron Lagged Returns
When evaluating Oceanic Iron's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oceanic Iron pink sheet have on its future price. Oceanic Iron autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Oceanic Iron autocorrelation shows the relationship between Oceanic Iron pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Oceanic Iron Ore.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Oceanic Iron in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Oceanic Iron's short interest history, or implied volatility extrapolated from Oceanic Iron options trading.
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Complementary Tools for Oceanic Pink Sheet analysis
When running Oceanic Iron's price analysis, check to measure Oceanic Iron'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 Oceanic Iron is operating at the current time. Most of Oceanic Iron's value examination focuses on studying past and present price action to predict the probability of Oceanic Iron's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oceanic Iron's price. Additionally, you may evaluate how the addition of Oceanic Iron to your portfolios can decrease your overall portfolio volatility.
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Oceanic Iron 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.