Archive
AI tools
From AI/ML system building to data pipeline engineering
Read briefTechVibe-coding UI stack: eight references from prompt to component
When vibe-coding a research UI, stack a component base, prompt language, licensed assets, motion, and 3D. Eight sites, one sequence.
Read briefTechAI Research Stack 2026: The LLM Tools Quant Developers Actually Run
Treat cloud LLMs, local models, RAG, agents, and GPU as one system. Route each job by data sensitivity, task shape, and how you will verify the output.
Read briefTechRunPod 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.
Read briefTechAutomating 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.
Read briefTechQuant hardware from an RTX 4090 to a 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.
Read briefTechBuilding 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.
Read briefTechLocal 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.