continued….using multiple tickers.

Table of Contents:

INTRODUCTION:

To begin, let’s first understand the goal of this article, which is to provide the average retail investor with a quick and easy way to pull live data, use that data to highlight key indicators and create a nice clean readable table before investing in a particular company(s).

This process will help you take emotion out of the equation and give you enough information to make informed decisions.

Substitute any stock ticker(s) you would like at the bottom of…


Beginner level coding with advanced techniques.

Table of Contents:

Introduction

To begin, let’s first understand the goal of this article, which is to provide the average retail investor with a quick and easy way to pull live data, use that data to highlight key indicators and create a nice clean readable table before investing in a particular company(s).

This process will help you take emotion out of the equation and give you enough information to make informed…


Track the sentiment around the world of Crypto, Blockchain & DeFi

INTRODUCTION:

In this article we are going to find the most talked about topics in the world of bitcoin, cryptocurrency and decentralized finance.

As many of you know the world of finance is shifting, and it’s no secret the pandemic has accelerated that change. As a millennial, the majority of my life has been on a cell phone and like so many of us, our personal lives have been conducted online. But this is a unique period in time because we don’t have to wait for the rest of…


#TradersWhoCode

AGENDA:

Installation & Setup

I am going to assume most people already have python setup but in case you are new to coding, please navigate to the documentation and get your computer ready to go before you continue.

For those of you who have used Python and are comfortable with your setup, you can just import the libraries listed below and skip to the meat of this article.

pip install yfinance

The link below does a great job listing the steps to using the ‘yfinance’…


Beginner level coding with advanced techniques.

TABLE OF CONTENTS:

Introduction:

To begin, let’s first understand the purpose of this article, which is to provide the average retail investor with a quick and easy way to import data, use that data to highlight key indicators and plot an informative graph for us to evaluate our positions.

In this article we will cover a three fundamental trading signals using various technical indicators.


Advanced techniques with simple Python code

By the end of this story you will understand how to use the popular Python library Scikit-Learn to predict gold prices. We will compare a linear regression model with a train / test split to a model trained using a rolling out-of-sample dataset.

TABLE OF CONTENTS:


Today we will discuss how to visualize your portfolio in under 2 minutes using Python. Simply substitute the tickers listed below with the stocks in your portfolio and print a simple pie chart with live data.

import datetime as dt
import matplotlib.pyplot as plt
from pandas_datareader import data as web

I wanted to give everyone a quick fun project that produces an informative graph with real time data so that you quickly update and track your portfolio.

tickers = ['PTON','CRWD','MRNA','PLTR','NVDA','PLUG','SNOW']
amounts = [12,15,20,30,8,18,5]
prices = []
total = []
# SET THE OUTLINE OF THE PIE CHART fig, ax =…


As an investor, it’s a good idea to diversify your portfolio with short term and long term investments. When you begin to analyze companies and determine which bucket a company falls in, you probably want to know the expected return on an annual basis.

In this article, I’d like to walk you through one example of how you can use python to quickly analyze the average daily return in different date ranges. In this case we will be analyzing semiconductor stocks.

Import ‘Closing’ prices and Read in Data for Semiconductor companies: AMD, MU, ON


In this article you will understand a few basic steps for how to import and clean data from an Excel or CSV file and use Python to visualize market data.

To begin, I’d like to point out two key points to remember when analyzing stocks and pulling information. The first you’ve probably heard before, which is that you’re only as good as the quality of the data. If the data you are pulling is easily accessible, you should assume that many other people are using the same information. …


My story begins in 2020 when the pandemic hit and like most people I was out of work with the chance for a fresh start. Unhappy with my current situation, I decided I was going to sit down and put a plan together to figure out the direction I wanted my life to go. I wrote down the things I truly enjoyed doing and thought about what got me excited to learn. From there I could figure out how I was going to make a career doing those things.

In April, I enrolled in a FinTech Boot-Camp where I would…

Scott Andersen

Application Developer | Stock Analyst

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