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
Pavlo Sidelov
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 ...
Quantitative Developers: The Programmers of Wall Street
These special developers make an average of $154,211 a year Source
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
Pragmatic Deep Learning Model for Forex Forecasting
Using LSTM and TensorFlow on the GBPUSD Time Series for multi-step prediction Source
Crypto Trading Bots and the Emergence of Trading Intelligence
Trading intelligence emerges from harnessing the interactions of multiple complex concepts. A holistic approach is essential Source