AI Tools for Trading
Practical tutorials applying LLMs and AI to trading, research automation, and data analysis.
How AI Is Shaping the Future: A Complete Guide to Machine Learning Use Cases
Explore how artificial intelligence and machine learning are driving innovation across industries through concrete examples. An accessible guide to the present and future of AI.
Bitcoin News Sentiment Analysis: How to Read Market Psychology and Apply It to Investing
Bitcoin news sentiment analysis is a key tool for predicting market psychology amid high volatility. This guide covers the fundamentals, latest research, and practical ways to incorporate sentiment signals into your investment decisions.
What Is an LLM Agent? An Easy-to-Understand Overview from Concepts to Quantitative Investment Applications
This article explains the fundamental concepts and operation principles of LLM agents from a beginner's perspective. It systematically analyzes their core capabilities—such as information retrieval, judgment, and decision execution—as well as their practical applications and limitations in finance and quant investing fields.
RunPod vs Vast.ai: Practical Comparison of Local LLM and GPU Rental for Backtesting
A hands-on comparison of RunPod and Vast.ai for GPU cloud use in local LLM development and backtesting infrastructure.
Automating Quant Research with Claude API: Practical Comparison with GPT-4
When integrating LLMs into a quant research workflow, which is more suitable: Claude API or GPT-4? This article compares both through real-world use cases and cost analysis.
Complete Guide to Quant Development Environment: From RTX 4090 to DGX Spark
An overview of environments for running local LLMs, backtests, and data pipelines across different budgets. Comparing GPU cards, Mac setups, AI supercomputers, and cloud options based on real-world usage.
Deploying RAG API Server with Railway in Just 5 Minutes Without Docker
A guide to deploying a RAG system for quant research on Railway. It automatically deploys on GitHub push, and costs are much lower than Heroku.
Starting a Quant Newsletter with Beehiiv: Turning Blog Readers into Subscribers
A guide on how to build a newsletter subscription funnel using Beehiiv to convert blog visitors into subscribers. Covers setup, welcome sequences, and monetization strategies.
Building a Market Data Pipeline Using Crypto Exchange APIs
This guide explains how to collect and automate market data such as OHLCV, funding rates, and order book data from Binance and Bybit APIs. The first step in quantitative research is data.
Implementing RAG Systems from A to Z: Practical Guide from Embedding to Retriever
This article focuses on common stumbling points when building RAG systems. It covers problem areas encountered in real-world scenarios, from selecting embedding models and chunk strategies to hybrid search and re-ranking.
Local LLMs vs Cloud Models: Which Is More Advantageous in Quant Research Environments?
A comparison of model deployment strategies suitable for research and development environments from security, cost, inference speed, and workflow automation perspectives. The optimal choice varies depending on the situation.
Getting Started with Python Automated Cryptocurrency Trading: An Introduction to Binance API
This is the first step in creating an automated crypto trading system using Python and the Binance API. It covers account connection, price retrieval, and placing your first order step-by-step.
Python Data Analysis Basics: Handling Stock Data with pandas
An introductory guide to loading, cleaning, and basic analyzing stock data using pandas in Python. The starting point for quant analysis.