Added detailed description (#1233)

Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
This commit is contained in:
Colin Delahunty
2022-01-23 09:20:16 -05:00
committed by GitHub
parent 3b8d1bdf4e
commit 20db556b3c
2 changed files with 25 additions and 4 deletions

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@@ -736,9 +736,24 @@ Ticker: [/param] {self.ticker} [cmds]
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="dcf",
description="""
Generates a discounted cash flow statement. The statement uses machine
learning to predict the future financial statement, and then predicts the future
value of the stock based on the predicted financials.""",
A discounted cash flow statement looks to analyze the value of a company. To do
this we need to predict the future cash flows and then determine how much those
cash flows are worth to us today.\n\n
We predict the future expected cash flows by prediciting what the financial
statements will look like in the future, and then using this to determine the
cash the company will have in the future. This cash is paid to share holders.
We us linear regression to predict the future financial statements.\n\n
Once we have our predicted financial statements we need to determine how much the
cash flows are worth today. This is done with a discount factor. Our DCF allows
users to choose between Fama French and CAPM for the factor. This allows us
to calculate the present value of the future cash flows.\n\n
The present value of all of these cash payments is the companies' value. Dividing
this value by the number of shares outstanding allows us to calculate the value of
each share in a company.\n\n
""",
)
parser.add_argument(
"-a",

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@@ -2,7 +2,13 @@
usage: dcf [-a] [--no-ratios] [--no-filter] [-p NUM] [-s NUM] [-h]
```
Generates a completed discounted cash flow statement as an excel spreadsheet export. The statement uses machine learning to predict future financial statements and share price based on the predicted financials. Source: https://stockanalysis.com/stocks/
A discounted cash flow statement looks to analyze the value of a company. To do this we need to predict the future cash flows and then determine how much those cash flows are worth to us today.
We predict the future expected cash flows by prediciting what the financial statements will look like in the future, and then using this to determine the cash the company will have in the future. This cash is paid to share holders. We us linear regression to predict the future financial statements.
Once we have our predicted financial statements we need to determine how much the cash flows are worth today. This is done with a discount factor. Our DCF allows users to choose between Fama French and CAPM for the factor. This allows us to calculate the present value of the future cash flows.
The present value of all of these cash payments is the companies' value. Dividing this value by the number of shares outstanding allows us to calculate the value of each share in a company. Source: https://stockanalysis.com/stocks/
```
optional arguments: