# FinRatioAnalysis
Finacial Ratio Analysis Project:
-Return Analysis
-Margin Analysis
-Leverage Analysis
-Efficiency Analysis
-Liquidity Analysis
-Cash Convertion Cicle (CCC)
-Altman Z Score
-Capital Asset Pricing Model (CAPM)
-Weighted Average Cost of Capital (WACC)
## Documentation
[Documentation](https://corporatefinanceinstitute.com/assets/CFI-Financial-Ratios-Cheat-Sheet-eBook.pdf)
Quick Start.
```bash
#Packages:
pip install yfinanc
pip install FinRatioAnalysis
pip install pandas-datareader
pip install plotly
#Import:
import yfinance as yf
import pandas as pd
import numpy as np
import pandas_datareader as pdr
import plotly.graph_objects as go
import datetime as dt
from FinRatioAnalysis import FinRatioAnalysis
#Create an Objet:
AAPL = FinRatioAnalysis('AAPL', 'yearly') # Frequency most be 'quarterly' or 'yearly'
#Available methods:
AAPL.ReturnRatios()
AAPL.LeverageRatios()
AAPL.EfficiencyRatios()
AAPL.LiquidityRatios()
AAPL.CCC()
AAPL.z_score()
AAPL.z_score_plot()
AAPL.CAPM()
AAPL.WACC()
```
## Authors
- [@lorenzo1285](https://github.com/lorenzo1285)
## 🚀 About Me
I'm a Economist...
## 🔗 Links
[](https://www.linkedin.com/in/lorenzocardenas/)
## Installation
Install FinanceAnalysis, yahoo finance, pandas-datareader and plotly with pip
```bash
pip install yfinance
pip install FinRatioAnalysis
pip install pandas-datareader
pip install plotly
```
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"description": "\n# FinRatioAnalysis\n\n\n\nFinacial Ratio Analysis Project: \n\n\n\n-Return Analysis\n\n\n\n-Margin Analysis\n\n\n\n-Leverage Analysis\n\n\n\n-Efficiency Analysis\n\n\n\n-Liquidity Analysis\n\n\n\n-Cash Convertion Cicle (CCC)\n\n\n\n-Altman Z Score\n\n\n\n-Capital Asset Pricing Model (CAPM)\n\n\n\n-Weighted Average Cost of Capital (WACC)\n\n\n\n## Documentation\n\n\n\n[Documentation](https://corporatefinanceinstitute.com/assets/CFI-Financial-Ratios-Cheat-Sheet-eBook.pdf)\n\n\n\nQuick Start.\n\n```bash\n\n #Packages:\n\n pip install yfinanc\n\n pip install FinRatioAnalysis\n\n pip install pandas-datareader\n\n pip install plotly\n\n\n\n #Import:\n\n import yfinance as yf\n\n import pandas as pd \n\n import numpy as np\n\n import pandas_datareader as pdr\n\n import plotly.graph_objects as go\n\n import datetime as dt \n\n from FinRatioAnalysis import FinRatioAnalysis\n\n\n\n #Create an Objet:\n\n\n\n AAPL = FinRatioAnalysis('AAPL', 'yearly') # Frequency most be 'quarterly' or 'yearly'\n\n\n\n #Available methods:\n\n\n\n AAPL.ReturnRatios()\n\n AAPL.LeverageRatios()\n\n AAPL.EfficiencyRatios()\n\n AAPL.LiquidityRatios()\n\n AAPL.CCC()\n\n AAPL.z_score()\n\n AAPL.z_score_plot()\n\n AAPL.CAPM()\n\n AAPL.WACC()\n\n```\n\n\n\n## Authors\n\n\n\n- [@lorenzo1285](https://github.com/lorenzo1285)\n\n\n\n\n\n \n\n## \ud83d\ude80 About Me\n\nI'm a Economist...\n\n\n\n \n\n## \ud83d\udd17 Links\n\n\n\n[](https://www.linkedin.com/in/lorenzocardenas/)\n\n\n\n\n\n \n\n## Installation\n\n\n\nInstall FinanceAnalysis, yahoo finance, pandas-datareader and plotly with pip\n\n\n\n```bash\n\n pip install yfinance\n\n pip install FinRatioAnalysis\n\n pip install pandas-datareader\n\n pip install plotly\n\n```\n\n",
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