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Summary Performance Analysis Advice This module uses fundamental data of LCL Resources to approximate its Piotroski F score. LCL Resources F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of LCL Resources Limited. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about LCL Resources financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in LCL Resources Limited. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. Net Debt is likely to drop to about (4.5 M) in 2025. Short and Long Term Debt Total is likely to drop to about 42.8 K in 2025. At this time, it appears that LCL Resources' Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings.. 1.0Piotroski F Score - InapplicableCurrent Return On AssetsN/AFocusChange in Return on AssetsN/AFocusCash Flow Return on AssetsNegativeFocusCurrent Quality of Earnings (accrual)DecreasingFocusAsset Turnover GrowthN/AFocusCurrent Ratio ChangeN/AFocusLong Term Debt Over Assets ChangeN/AFocusChange In Outstending SharesIncreaseFocusChange in Gross MarginN/AFocusLCL Resources Piotroski F Score DriversThe critical factor to consider when applying the Piotroski F Score to LCL Resources is to make sure LCL is not a subject of accounting manipulations and runs a healthy internal audit department. So, if LCL Resources' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if LCL Resources' financial numbers are properly reported. LCL Resources Limited F Score Driver MatrixOne of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between LCL Resources' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards LCL Resources in a much-optimized way. Click cells to compare fundamentals About LCL Resources Piotroski F ScoreF-Score is one of many

Stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks. Net Debt(4.49 Million)At this time, LCL Resources' Net Debt is comparatively stable compared to the past year. About LCL Resources Fundamental AnalysisThe Macroaxis Fundamental Analysis modules help investors analyze LCL Resources Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of LCL Resources using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of LCL Resources Limited 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. Please read more on our fundamental analysis page. Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.Additional Tools for LCL Stock AnalysisWhen running LCL Resources' price analysis, check to measure LCL 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 LCL Resources is operating at the current time. Most of LCL Resources' value examination focuses on studying past and present price action to predict the probability of LCL Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LCL Resources' price. Additionally, you may evaluate how the addition of LCL Resources to your portfolios can decrease your overall portfolio volatility.

Run the job on your local computer or a remote machine using the appropriate commands to run the simulation file remotely. TIP: Create a script file for this process similar to below. i.e. Run 3 simulations on the local computer and 2 other Windows PCs on your network. start "Run on local PC" "C:\Program Files\Microsoft MPI\Bin\mpiexec.exe" -n 12 "C:\Program Files\Lumerical\[[verpath]]\bin\fdtd-engine-msmpi.exe" -t 1 "\\network_path\filename-1.fsp"start "Run on computer 2" "C:\Program Files (x86)\IntelSWToolsMPI\mpi\2019.10.321\intel64\bin\mpiexec.exe" -env APPDATA "writable\folder" -n 32 -host remotehost2 "C:\Program Files\Lumerical\[[verpath]]\bin\fdtd-engine-impi.exe" -t 1 "\\network_path\filename-2.fsp"start "Run on computer 3" "C:\Program Files (x86)\IntelSWToolsMPI\mpi\2019.10.321\intel64\bin\mpiexec.exe" -n 16 -env APPDATA "writable\folder" -host remotehost3 "C:\Program Files\Lumerical\[[verpath]]\bin\fdtd-engine-impi.exe" -t 1 "\\network_path\filename-3.fsp"LinuxOpen the Terminal and run your simulations.Ensure that you append the "&" to the end of your command line. Otherwise, open another terminal and run the other simulations from a different terminal. #Running on the localhost#using openmpimpiexec -n 16 /opt/lumerical/[[verpath]]/bin/fdtd-engine-ompi-lcl -t 1 simulationfile.fsp & #using intel mpi mpirun -n 24 /opt/lumerical/[[verpath]]/bin/fdtd-engine-impi-lcl -t 1 simulationfile.fsp &#Running remote to another host#using openmpimpiexec -n 32 -host remote_node1 /opt/lumerical/[[verpath]]/bin/fdtd-engine-ompi-lcl -t 1 simulationfile.fsp &#using intel mpi mpirun -n 32 -hosts remote_node2 /opt/lumerical/[[verpath]]/bin/fdtd-engine-impi-lcl -t 1 simulationfile.fsp &See alsoaddjob - Script command runjobs - Script command