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In this video we go over how to use Python, Pandas, and Plotly to calculate and chart Bollinger Bands. Here is a medium article that will help walk you through it more: \ medium.com/@financial_python/how-to-plot-bollinger-bands-in-python-1d7cc95ad9af

This video will walk you through how to calculate a Moving Average Convergence Divergence (MACD) in Python. It will also show you how to use this as an indicator in something like a Trading Bot or Notification System

This video will walk you through how to calculate a Volume Weighted Average Price (WVAP) in Python. It will also show you how to use this as an indicator in something like a Trading Bot or Notification System

In this video, we will walk you through how to use the bulk upload features on www.financialpython.com/ to upload your alerts. The Steps are: 1) Download our CSV Template 2) Add your alerts to the file and save 3) Upload the file

Here we will go through in detail how you can create your own stock alerts at www.financialpython.com. We will keep you updated when we add new alert types

We will use Python with yfinance, pandas, and plotly to do the following: 1. Download historical stock price data 2. Calculate a Simple Moving Average 3. Determine when the stock price crosses above / below the SMA 4. Plot those crosses with Plotly Related Gist: gist.github.com/financial-python/0902fee09a358767c377db12d1e39164

An intro to our website: www.financialpython.com, and all of the features it currently offers. We are constantly adding and iterating, so I'll keep you all updated on that. I'll do some deep dive videos into all of these features, so stay tuned for those Also, here is the Reddit/Twitter GPT Course I mentioned: financialpython.gumroad.com/l/build_newsletter

Set up an app password for your gmail account: myaccount.google.com/u/0/apppasswords Python Template Class: www.geeksforgeeks.org/template-class-in-python/ Python Email Class: docs.python.org/3/library/email.mime.html The Reddit/Twitter GPT Newsletter that you see on this video: financialpython.gumroad.com/l/newsletter

Medium Article: medium.com/@financial_python/uploading-files-to-aws-s3-using-python-and-boto3-622efbe1af5c Boto3 Code Sample: boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-uploading-files.html

Learn how to configure the logging environment, set logging levels, and implement stream-to-file logging for real-time monitoring and detailed log files.

Stock share borrowing data can be used to determine whether or not a stock has Short Squeeze potential. Here I will show you how you can get borrowing data for a particular stock in Python. This can be used with any language you can make api requests with, but I'm using Python in this example

Install package: pip install openai Sign up and get your OpenAI key here: platform.openai.com/account/api-keys Here is the related gist: gist.github.com/financial-python/d0034c44728f3a71a4904e70a2a77668 Get Text from Reddit: ua-cam.com/video/7VvRBFknsdg/v-deo.html Get Text from Twitter: ua-cam.com/video/7sazBnzwpfU/v-deo.html

Python script to chart an EMA crossover. Here is the gist associated with this video: gist.github.com/financial-python/d1a085d1f87c7d8aee4d935631f02e91

Python script to parse trending Stock Tickers from Reddit. First step is to set up a reddit connected app here: ssl.reddit.com/prefs/apps/ Link to PRAW (Python Reddit Api Wrapper): praw.readthedocs.io/en/latest/ Here is the gist associated with this video: gist.github.com/financial-python/1fdd810266da876c274362fb046d7ebc

Find Stocks that are Trending on Twitter with Python