Don't have time to leaf through a million 10Q reports?

Good thing we can quickly get company financial statement data in python using the polygon.io API.

GET 10% OFF YOUR 1ST YEAR SUBSCRIPTION FOR THE POLYGON API

USE CODE "GETBAGS10" WHEN SIGNING UP FOR YOUR SUBSCRIPTION!

https://polygon.io/?utm_source=affiliate&utm_campaign=getbags

If you've never used the API, you can see how to get setup and access your API key in the video below.

https://youtu.be/KPA0Bo3VVgw

All the code from the video can be found here.

https://github.com/AdamGetbags/polygonData/blob/main/polygonFundamentalData.py

0:20 open the docs

0:50 pip install polygon-api-client and import modules

1:10 create a client to connect to API

1:24 basic fundamental data request

1:34 assign ticker to get data for

1:57 list_stock_financials function

2:13 customizing function parameters

3:24 navigating the data

5:05 BLAMM AND JUST LIKE THAT

- - -  

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https://www.instagram.com/damgetbags 

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- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

In this first video of the series, we use Polygon.io API in python to get a list of all stock ticker symbols.

This will be useful later when we take a look at getting price, dividend, and other fundamental data from the Polygon.io API.

For those familiar with the API, skip to 5:35 to go full savage mode.

GET 10% OFF YOUR 1ST YEAR SUBSCRIPTION FOR THE POLYGON API USE CODE "GETBAGS10" WHEN SIGNING UP FOR YOUR SUBSCRIPTION!

https://polygon.io/?utm_source=affiliate&utm_campaign=getbags

You can get all the code from the video on my Github below.

https://github.com/AdamGetbags/polygonData/blob/main/polygonTickerList.py

0:28 create account at polygon.io

0:42 open the polygon and python docs

1:04 create API key

1:18 pip install polygon-api-client

1:42 create an API client and authenticate

2:29 the WRONG way to get tickers

4:14 the RIGHT way to get tickers

5:35 get a list of all stock ticker symbols

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

If you love options and you love crypto, then you'll love Dopex - a decentralized crypto options exchange that can be used to trade crypto options.

They have many crypto options and single staking options vaults available, but today I'll show you how to use the Dopex API to get data on their single staking options vaults (SSOVs), total value locked, token supply, and other token data.

Dopex Website

https://www.dopex.io/

Docs

https://docs.dopex.io/

Github + Docs

https://github.com/dopex-io/dopex-api/blob/master/docs/v1/ENDPOINTS.md

All the code from the video can be found below

https://github.com/AdamGetbags/dopexData/blob/main/DopexData.py

0:20 open the docs

1:00 get SSOV data // navigating the data

3:00 get SSOV APY data

3:42 get crypto options straddle data

4:35 get dopex farm data

4:49 get supported tokens for price quotes

5:09 get token price quotes

5:29 get token supply and market cap data

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

Here's how to create (super sus) AI art using the Dall-E 2 API in Python in just a few lines of code.

You can sign up for a free account below

https://openai.com/dall-e-2/

All the code from the video can be found here

https://github.com/AdamGetbags/dalle2API/blob/main/createImages.pyhttps://github.com/AdamGetbags/dalle2API/blob/main/openaiSecrets.py

0:20 create an account with OpenAI

0:54 open the docs

1:03 pip install openai

1:25 code for importing modules and API authorization

1:54 create and assign organization and API key credentials

2:35 test API connection

2:47 generating AI art based on text

3:57 generating AI art based on an existing photo

4:56 PRETTY HORRIFYING NOT GUNNA LIE

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

SushiSwap is a decentralized exchange where users can trade crypto and transact with tokens on the same chain and across different chains. Kick back and I'll show you how to get real time crypto swap rate data from SushiSwap using python and selenium.

If it's your first time working with selenium, check out this video below to learn how to download google chrome driver and install selenium.

https://youtu.be/jUS64V2jDiY

All the code from this video can be found on my github.

https://github.com/AdamGetbags/sushiSwapScraper/blob/main/sushiSwapScraper.py

0:22 open selenium docs

0:43 open SushiSwap url

1:17 import modules, assign url, create class for our scraper

1:40 optional make browser headless

1:55 open url, find element by XPATH, click element

2:39 how to locate elements // selenium docs

4:12 find element by ID, send keys

5:59 parse through multiple elements using find_elements()

6:28 finding parent elements of given element

7:18 finding element by FULL XPATH

8:35 testing the bot

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

Only a few quick steps until you can send push notifications in python directly to your Android or IOS device!

The Pushover API allows you to do just that.

They offer a free 30 day trial to the API.

After that, they charge $5/per device for a lifetime subscription.

0:22 go to pushover.net

0:29 download pushover app on your device

0:42 login to your account on the web app to get user token

0:53 create an api token

1:26 open the pushover api docs and python example

1:45 import modules and credentials

2:03 create a connection to api

2:06 set post request parameters

2:24 SEND PUSH NOTIFICATION

Here is all the code from the video

https://github.com/AdamGetbags/pushoverApp/blob/main/pushoverTest.py

Here is a link to the Pushover API Documentation.

https://pushover.net/api

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

Excel files and CSV files are some of the most common inputs to python programs, so it's important to understand how to get this data into your python environment.

Also, since Excel and CSVs are so popular, it's handy to know how to export data from python in a way that makes the data easy to access.

The pandas library in python makes it super simple to begin importing and exporting this data - let's get started!

All the code from the video can be found below.

https://github.com/AdamGetbags/dataProcessing/blob/main/readWriteFlatFiles.py0:30 open the docs

1:03 import modules and check working directory

1:26 read CSV file into python

1:41 read Excel file into python

2:02 export python data to CSV

2:27 export python data to Excel

- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbag

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.

You've already got a ton of data in Python. Let's dive in with MySQL and get started making a database for your next app!

0:39 install MySQL Community Server // MySQL Workbench

1:43 SECURITY WARNING

2:13 setup root user

3:19 clean up and create a MySQL connection

3:45 open connection menu

4:00 setup new user

4:12 create a new SQL database

4:35 pip install SQLAlchemy and mysqlclient

5:20 open python script and import modules

5:50 create sample pandas dataframe

6:08 assign variables with credential details from database config

6:39 create engine object using SQL Alchemy

8:28 create table from pandas dataframe

9:10 committing changes to a database in SQL Alchemy

9:30 get column names

9:43 print data from table

10:04 drop table and drop database

You can find all the code from the video on my Github below.

https://github.com/AdamGetbags/pythonToMySQL/blob/main/createDatabaseMySQL.py
- - -  

Follow the podcast and join our larger community on Youtube to receive value on all things finance and technology!   

https://www.youtube.com/c/adamgetbags

If you love the content, buy me a coffee! 

https://www.buymeacoffee.com/adamgetbags   

Keep up with me! 

https://www.instagram.com/damgetbags 

https://twitter.com/damgetbags

- - -   

Need some ideas for your project portfolio?  

Check out how to get historical option price data in Python from the Polygon API. 

https://youtu.be/87O9qxfMJ-g

Here's how to quickly get crypto data in Python from the CoinGecko API

https://youtu.be/4-CC3u4i73k

Here's how to create a SQL database from a Pandas DataFrame in Python

https://youtu.be/9IPlc-nKD1k

- - -   

DISCLAIMER: The Information on Async Finance is provided for education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness, or fitness for any particular purpose. The Information contained in or provided from or through Async Finance is not intended to be and does not constitute financial advice, investment recommendations, investment advice, trading advice, or any other advice. The Information on Async Finance is general in nature and is not specific to you the User or anyone else. You should not make any decision, financial, investment, trading, or otherwise, based on any of The Information presented on Async Finance without undertaking independent due diligence and consultation with a professional broker or financial advisory.