Go Far AI

Modern Portfolio Theory, Monte Carlo Simulations & CVaR for Smarter Investment Decisions

Maximize Returns and Minimize Risks Using Advanced Financial Modeling Techniques

Oct 5 • 

Ali Atiah Alzahrani

September 2024

Integrating Momentum, Reversal, Volatility, and Earnings Surprise: Building a Multi-Factor Alpha Strategy in Python

Integrating Momentum, Reversal, Volatility, and Earnings Surprise: Building a Multi-Factor Alpha Strategy in Python Combining Momentum and Volatility…

Sep 30 • 

Ali Atiah Alzahrani

July 2024

LLMs vs. Human Mind: Understanding the Creativity Gap.

Exploring What Sets Human Imagination Apart from LLMs and AI's Logic.

Jul 19 • 

Ali Atiah Alzahrani

November 2023

RAG, REALM, RETRO & Beyond: The Evolution of Retrieval-Augmented Models

Breaking Down the Basics: A Simple Guide to RAG, REALM, and RETRO AI Models.

Nov 12, 2023 • 

Ali Atiah Alzahrani

August 2023

Connecting Stochastic Calculus and Deep Learning in Finance

One Way to Explore the Magic of Combining Fields for Better Understanding

Aug 1, 2023 • 

Ali Atiah Alzahrani

May 2023

Moving Beyond Language Models: Why Deep Reinforcement Learning is Key to Achieving AGI

Moving Beyond Pre-Trained Models and Fostering Independent Thought through Deep Reinforcement Learning, with DRL example.

May 2, 2023 • 

Ali Atiah Alzahrani

September 2022

Customizing Deep Neural Networks with TensorFlow: Creating a Custom Layer

In this post, we will explore how to create a custom layer in TensorFlow, which can be useful when we need to add a specific functionality that is not…

Sep 19, 2022 • 

Ali Atiah Alzahrani

June 2022

Quantifying the Uncertainty in Deep Bayesian Q-Networks for Robust Decision Making

Deep Q-Networks (DQN) are a powerful class of reinforcement learning algorithms that have been successfully used in various applications, such as…

Jun 29, 2022 • 

Ali Atiah Alzahrani

April 2022

Supervised vs Unsupervised Machine Learning: What's the Difference?

Machine learning is a powerful tool that has revolutionized many industries.

Apr 16, 2022 • 

Ali Atiah Alzahrani

Predicting Market Risk using Machine Learning: A Comparative Analysis of SVM, Random Forest, and Gradient Boosting Algorithms

Exploring the Performance of SVM, Random Forest, and Gradient Boosting in Predicting Market Risk with Machine Learning.

Apr 16, 2022 • 

Ali Atiah Alzahrani

Time Series Forecasting, NLP, CVaR, and GARCH to Manage Market Risk

Combining Advanced Techniques: How to Build a Market Risk Management Tool using Time Series Forecasting, NLP, CVaR, and GARCH

Apr 8, 2022 • 

Ali Atiah Alzahrani

March 2022

The Basics of Python: SciKit-Learn

Scikit-learn is a Python library that is widely used for machine learning tasks such as classification, regression, and clustering.

Mar 6, 2022 • 

Ali Atiah Alzahrani