Optimize your trading strategy with three lines of code
Use fastquant to easily optimize your trading strategy’s parameters automatically! Source
Market
Creating a Trading Strategy Using the RSI & the Bollinger Bands. New Ideas Using Python
An overwhelming number of traders use the famous Relative Strength Index to help with their decisions, and although it can only serve as a confirming indicator, it nevertheless, has its weight in many trading decisions ...
Creating an Algorithmic Trading Strategy Using Python and Logistic Regression
An automated machine learning strategy to determine the optimal stocks for algorithmic trading. Source
Day-Trading with AI: When to Hold, When to Fold, and When to Not Play!
Market Clustering with Transdimensional Machine Learning The ability to characterize market day-trading with TML enables tailoring strategies to specific market “personalities”. These “personalities” render it seemingly impossible to trade profitably approximately 40 percent of trading ...
How Does Machine Learning Perform in the Stock Market?
How to Use Vectorized Backtesting to Evaluate ML Models Source
Profitable $tock trading models and Jupyter notebook
Stock trading models can look enticing, testing them against historical data often reveals a less promising reality. And sometimes the output of a model is itself material for a model with curious correlation to actual ...
Algorithmically drawing Trend Lines on a Stock Chart
Using Image Processing Techniques on Time Series Data Source
Outstanding Performance predicting Amazon Stock applying Natural Language Processing (Python)
In this tutorial we’ll make a Machine Learning Pipeline that inputs News and applies NLP to generate predictions for Amazon Stock Price re-training through time. Source
A Simple Breakout Trading Strategy in Python
Coding and Back-testing an Objective Systematic Breakout Strategy Source
Building A Monte Carlo Method Stock Price Simulator With Geometric Brownian Motion And Bootstrap Sampling
Built a web app using Python Flask that allows you to simulate future stock price movements using a method called Monte Carlo simulations with the choice of two ‘flavours’ : Geometric Brownian Motion (GBM) and ...