Fractal Volatility Bands — New Trading Horizons
Creating the Volatility Bands Using the Fractal Dimension Index. Source
Market
Comparing the performance of LSTM vs ARIMA+GARCH on the S&P500 stock index (with code)
Deep learning has shown incredible capabilities in many areas (medical, vision, etc.), but how does it compare to well known autoregressive models in financial time series and how Online Learning can improve the results. Source
Advanced Price Action Techniques to Detect Market Reactions
Presenting Advanced Technical Analysis Techniques to Trade the Markets. Source
Here’s How I Use Natural Language Processing In Stock Price Analysis
Using NLP and Granger causality to analyze the relationship between the sentiment of a written article and a stock’s price Source
How to Analyze Volume Profiles With Python
An approach to using volume profiles for algorithmic trading Source
A Technical Guide on RNN/LSTM/GRU for Stock Price Prediction
These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model (LSTM) and Gated recurrent unit (GRU), of an important branch of deep learning that deliver superior predictions for sequential data such ...
Machine learning models for 100% better returns in Algo-trading
How to think about training and utilizing ML models for algorithmic trading. Source
Fibonacci retracements in Python
Let’s see how to calculate this powerful technical indicator in Python Source
Algorithmic Trading Models — Cyclical Methods
Explore the connection between data science and finance, with an initial focus on the currency markets, but I hope to build many more avenues in the future Source