CLEW Guide Germany still off track for 2030 climate targets - Clean Energy Wire

WIQ Stock  EUR 1.92  0.03  1.54%   
Roughly 61% of Clean Energy's investor base is looking to short. The analysis of current outlook of investing in Clean Energy Fuels suggests that many traders are alarmed regarding Clean Energy's prospects. The current market sentiment, together with Clean Energy's historical and current headlines, can help investors time the market. In addition, many technical investors use Clean Energy Fuels stock news signals to limit their universe of possible portfolio assets.
Clean Energy stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Clean daily returns and investor perception about the current price of Clean Energy Fuels as well as its diversification or hedging effects on your existing portfolios.
  
CLEW Guide Germany still off track for 2030 climate targets Clean Energy Wire

Read at news.google.com
Google News at Macroaxis
  

Clean Energy Fundamental Analysis

We analyze Clean Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Clean Energy using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Clean Energy based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Z Score

Z Score Comparative Analysis

Clean Energy is currently under evaluation in z score category among its peers. Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..

Clean Energy Fuels Potential Pair-trading

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Clean Energy stock to make a market-neutral strategy. Peer analysis of Clean Energy could also be used in its relative valuation, which is a method of valuing Clean Energy by comparing valuation metrics with similar companies.

Complementary Tools for Clean Stock analysis

When running Clean Energy's price analysis, check to measure Clean Energy'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 Energy is operating at the current time. Most of Clean Energy's value examination focuses on studying past and present price action to predict the probability of Clean Energy'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 Energy's price. Additionally, you may evaluate how the addition of Clean Energy to your portfolios can decrease your overall portfolio volatility.
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Equity Valuation
Check real value of public entities based on technical and fundamental data