Grammar and addition to show_options

Author: JerBouma

README.md

@@ -14,7 +14,7 @@ with ease (with the help of this database) by using [FundamentalAnalysis](https:
 or [yfinance](https://github.com/ranaroussi/yfinance). Instead, it gives  insights into the products that exist in each 
 country, industry and sector and gives the most essential information about each product. With this information, you 
 can analyse specific areas of the financial world and/or find that product that is hard to find. See for examples
-on how you can combine this database and the earlier mentioned packages the section [Examples](#Examples).
+on how you can combine this database, and the earlier mentioned packages the section [Examples](#Examples).
 
 Some key statistics of the database:
 
@@ -38,7 +38,7 @@ Some key statistics of the database:
 or by manual search.
 
 ## Usage
-To access the database you can download the entire repository but I strongly recommend making use of the package 
+To access the database you can download the entire repository, but I strongly recommend making use of the package 
 closely attached to the database. It allows you to select specific json files as well as search through collected
 data with a specific query.
 
@@ -48,8 +48,9 @@ You can install the package with the following steps:
 2. (within Python) `import FinanceDatabase as fd`
 
 The package has the following functions:
-- `show_options(product)` - gives all available options from the below functions per product (i.e. Equities, Funds)
-which then can be used to collect the data.
+- `show_options(product, equities_selection=None)` - gives all available options from the below functions per 
+  product (i.e. Equities, Funds) which then can be used to collect the data. You can select a sub selection of 
+  equities by entering 'countries', 'sectors' or 'industries' for equities_selection.
 - `select_cryptocurrencies(cryptocurrency=None)` - with no input gives all cryptocurrencies, with input gives 
 the cryptocurrency of choice.
 - `select_currencies(currency=None)` - with no input gives all currencies, with input gives 
@@ -60,15 +61,15 @@ specific category.
 gives all equities of a country, sector, industry or a combination of the three.
 - `select_funds(category=None)` - with no input gives all funds, with input gives all funds of a 
 specific category.
-- `def select_indices(market=None)` - with no input gives all indices, with input gives all funds of a 
+- `select_indices(market=None)` - with no input gives all indices, with input gives all funds of a 
 specific market which usually refers to indices in a specific country (like de_market gives DAX).
 - `select_other(product)` - gives either all Futures, all Moneymarkets or all Options.
 - `search_products(database, query, new_database=None)` - with input from the above functions, this function searching
 for specific values in the summary of the product (i.e. the query 'sustainable')
 
 ## Examples
 This section gives a few examples of the possibilities with this package. These are merely a few of the things you
-can do with the package and it only uses yfinance. **As you can obtain a wide range of symbols, pretty much any package 
+can do with the package, and it only uses yfinance. **As you can obtain a wide range of symbols, pretty much any package 
 that requires symbols should work.**
 
 ### United States' Airlines
@@ -110,7 +111,7 @@ plt.tight_layout()
 plt.show()
 ``````
 Which results in the graph displayed below (as of the 3rd of February 2021). From this graph you could identify 
-companies that currently lack enough assets to cover their liabilities (quick ratio < 1) and those that do have enough
+companies that currently lack enough assets to cover their liabilities (quick ratio < 1), and those that do have enough
 assets (quick ratio > 1). Both too low and too high could make you wonder whether the company adequately manages 
 its assets.
 
@@ -133,7 +134,7 @@ for symbol in semiconductor_etfs:
     semiconductor_etfs_fundamentals[symbol] = get_json("https://finance.yahoo.com/quote/" + symbol)
 ````
 And lastly, I have a look at the YTD returns (as of the 3rd of February 2021) of each ETF to understand which ones 
-might be worthwile to invest in:
+might be outperforming the others:
 ````
 for symbol in semiconductor_etfs_fundamentals:
     ytd_return = semiconductor_etfs_fundamentals[symbol]['fundPerformance']['trailingReturns']['ytd']
@@ -148,14 +149,14 @@ plt.tight_layout()
 plt.xticks([-1, -0.5, 0, 0.5, 1], ['-100%', '-50%', '0%', '50%', '100%'])
 plt.show()
 ````
-This results in the following graph which gives _some_ insights in the available semiconductor ETFs. Then with the large amount of fundamentals data you can 
-figure out how each ETF differs and what might be worthwile to invest in.
+This results in the following graph which gives _some_ insights in the available semiconductor ETFs. Then with the 
+large amount of fundamentals data you can figure out how each ETF differs and what might be worthwhile to invest in.
 
 ![FinanceDatabase](Examples/Semiconductors_ETFs_Returns.png)
 
 ## Contribution
 Projects are bound to have (small) errors and can always be improved. Therefore, I highly encourage you to submit 
 issues and create pull requests to improve the package.
 
-The last update to the database is the 3rd of February 2021. I do always accept Pull Requests every few months 
+The last update to the database is the 3rd of February 2021. I always accept Pull Requests every few months 
 to keep the database up to date. Extending the amount of tickers and data is also much appreciated.