Olympus Stock Technical Analysis
| OCPNF Stock | USD 9.29 0.36 3.73% |
As of the 28th of February, Olympus holds the Variance of 18.04, coefficient of variation of (811.77), and Risk Adjusted Performance of (0.09). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Olympus, as well as the relationship between them. Please check Olympus standard deviation, as well as the relationship between the maximum drawdown and kurtosis to decide if Olympus is priced some-what accurately, providing market reflects its current price of 9.29 per share. Given that Olympus has information ratio of (0.14), we recommend you to check out Olympus's recent market performance to make sure the company can sustain itself at a future point.
Olympus Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Olympus, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OlympusOlympus |
Olympus '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 Olympus' 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 Olympus.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Olympus on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding Olympus or generate 0.0% return on investment in Olympus over 90 days. Olympus is related to or competes with Sartorius Aktiengesellscha, Shionogi, Eurofins Scientific, Shionogi, BioMrieux, Sartorius Aktiengesellscha, and Alibaba Health. Olympus Corporation manufactures and sells precision machineries and instruments worldwide More
Olympus 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 Olympus' 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 Olympus upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 32.32 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 2.24 |
Olympus Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Olympus' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Olympus' standard deviation. In reality, there are many statistical measures that can use Olympus historical prices to predict the future Olympus' volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (7.76) |
Olympus February 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.09) | |||
| Market Risk Adjusted Performance | (7.75) | |||
| Mean Deviation | 1.92 | |||
| Coefficient Of Variation | (811.77) | |||
| Standard Deviation | 4.25 | |||
| Variance | 18.04 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (7.76) | |||
| Maximum Drawdown | 32.32 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 2.24 | |||
| Skewness | (2.28) | |||
| Kurtosis | 12.28 |
Olympus Backtested Returns
Olympus maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the firm had a -0.11 % return per unit of risk over the last 3 months. Olympus exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Olympus' Variance of 18.04, coefficient of variation of (811.77), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The company holds a Beta of 0.0687, which implies not very significant fluctuations relative to the market. As returns on the market increase, Olympus' returns are expected to increase less than the market. However, during the bear market, the loss of holding Olympus is expected to be smaller as well. At this point, Olympus has a negative expected return of -0.49%. Please make sure to check Olympus' total risk alpha, and the relationship between the standard deviation and kurtosis , to decide if Olympus performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.33 |
Poor reverse predictability
Olympus has poor reverse predictability. Overlapping area represents the amount of predictability between Olympus time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Olympus price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Olympus price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 1.51 |
Olympus 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.
Olympus Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Olympus across different markets.
About Olympus Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Olympus on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Olympus based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Olympus price pattern first instead of the macroeconomic environment surrounding Olympus. By analyzing Olympus's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Olympus's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Olympus specific price patterns or momentum indicators. Please read more on our technical analysis page.
Olympus February 28, 2026 Technical Indicators
Most technical analysis of Olympus 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 Olympus from various momentum indicators to cycle indicators. When you analyze Olympus charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.09) | |||
| Market Risk Adjusted Performance | (7.75) | |||
| Mean Deviation | 1.92 | |||
| Coefficient Of Variation | (811.77) | |||
| Standard Deviation | 4.25 | |||
| Variance | 18.04 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (7.76) | |||
| Maximum Drawdown | 32.32 | |||
| Value At Risk | (4.64) | |||
| Potential Upside | 2.24 | |||
| Skewness | (2.28) | |||
| Kurtosis | 12.28 |
Olympus February 28, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Olympus stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 9.29 | ||
| Day Typical Price | 9.29 | ||
| Price Action Indicator | (0.18) |
Complementary Tools for Olympus Pink Sheet analysis
When running Olympus' price analysis, check to measure Olympus' 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 Olympus is operating at the current time. Most of Olympus' value examination focuses on studying past and present price action to predict the probability of Olympus' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Olympus' price. Additionally, you may evaluate how the addition of Olympus to your portfolios can decrease your overall portfolio volatility.
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