Clean Power's market value is the price at which a share of Clean Power trades on a public exchange. It measures the collective expectations of Clean Power Hydrogen investors about its performance. Clean Power is selling for under 7.30 as of the 7th of January 2025; that is 0.69 percent increase since the beginning of the trading day. The stock's lowest day price was 7.2. With this module, you can estimate the performance of a buy and hold strategy of Clean Power Hydrogen and determine expected loss or profit from investing in Clean Power over a given investment horizon. Check out Clean Power Correlation, Clean Power Volatility and Clean Power Alpha and Beta module to complement your research on Clean Power.
Please note, there is a significant difference between Clean Power's value and its price as these two are different measures arrived at by different means. Investors typically determine if Clean Power is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Clean Power's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Clean Power '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 Clean Power's stock 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 Clean Power.
0.00
11/08/2024
No Change 0.00
0.0
In 2 months and 2 days
01/07/2025
0.00
If you would invest 0.00 in Clean Power on November 8, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Power Hydrogen or generate 0.0% return on investment in Clean Power over 60 days. Clean Power is related to or competes with Samsung Electronics, Samsung Electronics, Toyota, Reliance Industries, MOL Hungarian, State Bank, and OTP Bank. Clean Power is entity of United Kingdom. It is traded as Stock on LSE exchange. More
Clean Power 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 Clean Power's stock 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 Clean Power Hydrogen upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Power's standard deviation. In reality, there are many statistical measures that can use Clean Power historical prices to predict the future Clean Power's volatility.
Clean Power Hydrogen secures Sharpe Ratio (or Efficiency) of -0.0455, which signifies that the company had a -0.0455% return per unit of standard deviation over the last 3 months. Clean Power Hydrogen exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Power's risk adjusted performance of 0.0266, and Mean Deviation of 2.83 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Clean Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Power is expected to be smaller as well. At this point, Clean Power Hydrogen has a negative expected return of -0.21%. Please make sure to confirm Clean Power's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if Clean Power Hydrogen performance from the past will be repeated at some point in the near future.
Auto-correlation
0.80
Very good predictability
Clean Power Hydrogen has very good predictability. Overlapping area represents the amount of predictability between Clean Power time series from 8th of November 2024 to 8th of December 2024 and 8th of December 2024 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Clean Power Hydrogen price movement. The serial correlation of 0.8 indicates that around 80.0% of current Clean Power price fluctuation can be explain by its past prices.
Correlation Coefficient
0.8
Spearman Rank Test
0.61
Residual Average
0.0
Price Variance
0.06
Clean Power Hydrogen lagged returns against current returns
Autocorrelation, which is Clean Power stock'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 Clean Power's stock expected returns. We can calculate the autocorrelation of Clean Power returns to help us make a trade decision. For example, suppose you find that Clean Power has exhibited high autocorrelation historically, and you observe that the stock 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
Clean Power 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 Clean Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Power stock over time.
Current vs Lagged Prices
Timeline
Clean Power Lagged Returns
When evaluating Clean Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Power stock have on its future price. Clean Power 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, Clean Power autocorrelation shows the relationship between Clean Power stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Power Hydrogen.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When running Clean Power's price analysis, check to measure Clean Power'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 Clean Power is operating at the current time. Most of Clean Power's value examination focuses on studying past and present price action to predict the probability of Clean Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Power's price. Additionally, you may evaluate how the addition of Clean Power to your portfolios can decrease your overall portfolio volatility.