Algorithmically drawing Trend Lines on a Stock Chart
Using Image Processing Techniques on Time Series Data Source
Algorithm
AI for algorithmic trading: rethinking bars, labeling, and stationarity
In a series of articles I was applying a very straightforward approach to forecast financial time series: take the whole dataset, using a sliding window approach generate X and Y, split it into historical and ...
Python for Algorithmic Trading: A to Z test
I have tested in real-time the implementation coded with Python of a famous mathematical technics to predict market movement (Bollinger Band) to check the gap between theory and reality. And here is the result. Source
Time-Series Data Analysis & Machine Learning Algorithm for Stock Trading
A case study with technical analysis, feature selection, accuracy score & bias-variance trade-off Source
Using TensorTrade for Making a Simple Trading Algorithm
In this tutorial, I’m going to show how to use Ray with TensorTrade (TT) in order to create a profitable algorithm on a predictable sine curve. You may be asking yourself, why use something so ...
Algorithmic Trading in Less than 100 Lines of Python Code
The barriers to entry for algorithmic trading have never been lower. Not too long ago, only institutional investors with IT budgets in the millions of dollars could take part, but today even individuals equipped only ...
Support Vector Regression (SVR) — One of the Most Flexible Yet Robust Prediction Algorithms
Machine Learning is making huge leaps forward, with an increasing number of algorithms enabling us to solve complex real-world problems. This story is part of a deep dive series explaining the mechanics of Machine Learning ...