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Aidan Wilson
Aidan Wilson

426 Followers

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Published in

Analytics Vidhya

·Pinned

Algorithmic Trading in Python: Bollinger Bands

Using Python to “Buy Low and Sell High” — Introduction to Bollinger Bands Bollinger Bands are a type of technical analysis indicator created by John Bollinger. The bands serve as a trading envelope that provide a feel for a relative measurement for high and low points that can be used as overbought and oversold levels. Bollinger Bands typically include two boundary lines (upper…

Python

5 min read

Algorithmic Trading in Python: Bollinger Bands
Algorithmic Trading in Python: Bollinger Bands
Python

5 min read


Published in

DataDrivenInvestor

·Jun 30, 2021

The Sharpe Ratio with Python (From Scratch)

Evaluating a Stock’s Risk with Python — One of the most commonly used and talked about risk measures in investing is the Sharpe Ratio. Unlike the Coefficient of Variation, which measures the risk per unit of return, the Sharpe Ratio tells an analyst the return per unit of risk. …

Finance

5 min read

The Sharpe Ratio with Python (From Scratch)
The Sharpe Ratio with Python (From Scratch)
Finance

5 min read


Published in

Geek Culture

·Apr 11, 2021

Algorithmic Trading in Python: RSI

One of the most popular technical indicators — Introduction to Relative Strength Index (RSI) The Relative Strength Index (RSI) is a popular technical indicator and momentum oscillator, developed by J. Welles Wilder in 1978. …

Stocks

4 min read

Algorithmic Trading in Python: RSI
Algorithmic Trading in Python: RSI
Stocks

4 min read


Published in

Analytics Vidhya

·Apr 6, 2021

Algorithmic Trading in Python: MACD

The Moving Average Convergence Divergence Indicator — Introduction The Moving Average Convergence Divergence (MACD) is a popular technical indicator associated with trend following and momentum. The MACD indicator involves a few calculations and a few trend lines: MACD Line — This line is the difference between the 26-day exponential moving average line and the 12-day exponential moving average…

Stocks

4 min read

Algorithmic Trading in Python: MACD
Algorithmic Trading in Python: MACD
Stocks

4 min read


Published in

Analytics Vidhya

·Apr 3, 2021

Using Python to Improve Your Poker Skills

Code for positive expected value decisions — Introduction to Pot Odds and Equity Pot Odds Pot odds, simply put, are the relationships between the total pot size and the bet that you must call to see the next card. Pot odds explain the amount of money you will win for every dollar you put into it yourself. To calculate pot odds, simply divide the amount…

Poker

5 min read

Using Python to Improve Your Poker Skills
Using Python to Improve Your Poker Skills
Poker

5 min read


Published in

Towards Data Science

·Dec 7, 2020

A Brief Introduction to Unsupervised Learning

Clustering in Python — Summary: In this post I will discuss the details of unsupervised machine learning and its applications. Code examples will be shown to demonstrate certain techniques. What is Unsupervised Learning? Unsupervised learning is a branch of machine learning that is used to find underlying patterns in data and is often used in exploratory data analysis…

Machine Learning

5 min read

A Brief Introduction to Unsupervised Learning
A Brief Introduction to Unsupervised Learning
Machine Learning

5 min read


Published in

Analytics Vidhya

·Dec 6, 2020

Stock Prediction Using Linear Regression

Does it work? Simple Linear Regression I will briefly touch on simple linear regression in this post, but I do have an article specifically about simple linear regression using Python that can be found here and it may be a bit more detailed and helpful. Linear regression can be used to find a…

Data Science

4 min read

Stock Prediction Using Linear Regression
Stock Prediction Using Linear Regression
Data Science

4 min read


Published in

Towards Data Science

·Nov 30, 2020

Algorithmic Trading in Python: Simple Moving Averages

Its easier than you think… — What is a moving average? A moving average is one of the most basic technical indicators used to analyze stocks. “Moving average” is a broad term and there are many variations used by analysts to smooth out price data and analyze trends. Moving averages will require a time period for calculations. For example, an investor…

Python

7 min read

Algorithmic Trading in Python: Simple Moving Averages
Algorithmic Trading in Python: Simple Moving Averages
Python

7 min read


Published in

Towards Data Science

·Nov 22, 2020

Simple Linear Regression in Python (From Scratch)

Coding a line of best fit — Simple linear regression is a concept that you may be familiar with already from middle school or high school. If you have ever heard of a slope and an intercept, or y = mx + b, then you have already learned about simple linear regression! What is Simple Linear Regression? Simple linear regression is a…

Data Science

7 min read

Simple Linear Regression in Python (From Scratch)
Simple Linear Regression in Python (From Scratch)
Data Science

7 min read


Published in

Towards Data Science

·May 8, 2020

Easiest Guide to Getting Stock Data With Python

I recently finished up an introductory course for data science at my university and for my final project, I decided I wanted to work with stock market data. …

Data Science

4 min read

Easiest Guide to Getting Stock Data With Python
Easiest Guide to Getting Stock Data With Python
Data Science

4 min read

Aidan Wilson

Aidan Wilson

426 Followers

Data Science, Finance, Economics

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