Florent Poux
Co-founder and CTO of Obside
Florent Poux is co-founder and CTO of Obside. He leads the engineering and technology behind Obside's AI copilot, market-data systems, backtesting infrastructure, and automated trading agents.
Areas of focus
- Artificial intelligence
- Software engineering
- Trading automation
- Market-data infrastructure
Recent articles and reviews
- Written
Trading in 2026: Strategies, Tools, and Day Trading
Markets are faster, data is cheaper, and the gap between idea and live order keeps shrinking. The traders who win in this environment are not the ones with the best chart — they are the ones with the clearest rules and the shortest path from rule to execution. This guide gives you both.
- Written
Agentic AI in Finance: From Chatbots to Portfolios
Agentic AI is moving finance from text generation to action-taking. Where firms deploy it first, what the 2026 adoption data shows, and what it means for your money.
- Written
Agentic Trading in 2026: Five Trends That Matter
Where agentic trading is actually heading in 2026 — adoption data, plain-language interfaces, guardrails, multi-agent designs, and a rising evidence bar.
- Written
Agentic Trading vs. Algorithmic Trading: Where They Meet
Agentic trading is not a replacement for algorithmic trading. It is a new interface and reasoning layer on a discipline that still supplies the rules.
- Written
AI Agents for Stock Trading: What Works in 2026
Stock markets close, gap, and halt. Here is what AI trading agents genuinely do well in equities, what they cannot fix, and how to run one safely.
- Written
AI Agent vs. Trading Bot: What's Actually Different?
Bots run fixed if-then rules; agents interpret intent and context. The honest comparison, the marketing tells, and when a plain bot is the better buy.
- Written
AI Agents for Day Trading: Hype vs. Reality
An honest look at what AI agents for day trading can and cannot do. The best use isn't finding trades. It's enforcing the stop you'd otherwise ignore.
- Written
Build Your Own ETF With AI: Personal Index, No Fund Fee
Thematic ETFs charge 0.4–0.9% a year for a basket you can often replicate yourself. How to design a personal index, validate it, and let an agent maintain it.