What Does It Actually Mean to Use LLMs for Trading?
Understand what it truly means to use LLMs in trading — not to predict prices, but to bring reasoning, context, and conviction into deterministic algorithmic systems.
Published: October 2025
Introduction to Algorithmic Trading. A Beginner's Guide.
Published: Oct 20th 2025
The 6 Components of a Good Prompt
Published: Monday Nov 10th 2025
The 4 Algorithmic Apps from RuggedX
Published: Monday Nov 10th 2025
The Agentic AI Value Framework (AIVF): Assessing the
True
Value
of Intelligent Systems
Published: Feb 2nd 2025
Market Discovery — How LLMs Transform the Search for Trading
Opportunities
Published: Nov 25th 2025
Sentiment Mapping — Teaching Algorithms to Read the Market’s
Mood
Published: Nov 23rd 2025
Contextual Signal Vetting and Event-Triggered Reasoning — The
Twin
Engines of AI Discipline
Published: Nov 21st 2025
LLM-Driven Risk and Performance Feedback Loops — Building
Systems
That Learn Discipline
Published: Nov 19th 2025
Agentic Orchestration — Building Multi-LLM Systems That Think
Together
Published: Nov 17th 2025
LLM Cost Optimization and Efficiency Architecture — Thinking
Smarter, Not Pricier
Published: Nov 15th 2025
Meta-Prompt Engineering and Adaptive Reasoning — Teaching LLMs
to
Evolve With the Market
Published: Nov 13th 2025
LLM-Driven Market Regime Detection and Strategy Switching —
Teaching
AI to Read the Weather of Markets
Published: Nov 11th 2025
Cross-Market Reasoning and Multi-Asset Intelligence — Teaching
AI to
See the Whole Battlefield
Published: Nov 9th 2025
LLM-Driven Trade Journaling and Performance Memory — Turning
Every
Trade Into a Teacher
Published: Nov 7th 2025
LLM-Powered Portfolio Intelligence and Cross-Strategy
Optimization —
Teaching Systems to Think Like Fund Managers
Published: Nov 5th 2025
LLM-Enhanced Execution Intelligence — Precision, Timing, and
Context
in Every Fill
Published: Nov 3rd 2025
LLM-Governed Risk and Exposure Management — Dynamic Intelligence
for
Capital Protection
Published: Nov 1st 2025
LLM-Powered Sentiment Orchestration and Event Awareness —
Teaching
Systems What to Pay Attention To
Published: Oct 30th 2025
Agentic LLM Coordination and Self-Evaluation Loops — Building
Systems That Audit Themselves
Published: Oct 28th 2025
LLM Explainability and Transparent Reasoning Chains — Making
AI’s
Logic Visible and Accountable
Published: Oct 25th 2025
Federated Intelligence — Cross-System Learning Between Neptune,
Triton, Orion, and Virgil
Published: Oct 22nd 2025
LLM-Driven Strategy Adaptation and Evolutionary Prompts —
Teaching
AI to Evolve Like a Trader
Published: Oct 20th 2025
Autonomous Research Agents and Context Synthesis — Teaching AI
to
Discover New Edge
Published: Oct 18th 2025
The Philosophy of Agentic Trading — Human Oversight, AI
Reasoning &
The Discipline of Autonomy
Published: Oct 15th 2025
Agentic AI Vs AI Workflows: Understanding the Future of
Automation
Published: Jan 26th 2025
Prompt Management 101: Full guide for AI Engineers
Published: Jan 26th 2025
7 things to do after
passing the
Google Machine Learning Certification Exam
Published: Oct 9th 2022
6 things you need to
do if you’ve
failed the Google Machine Learning Certification Exam
Published: Oct 9th 2022
Terraform: Creating
multiple S3
buckets with a single resource
Published: Jan 10th 2020
Deploying fast,
serverless sites with
AWS S3 and bitbucket.
Published: Jan 21st 2019
Leveraging AI as a
Service for Image
Filters with Laravel
Published: Aug 30th 2018