architecture
7 articles in this cluster.
How a 32-Agent AI Hedge Fund Beats a Single-Model Bot
Single-model bots have one model and one opinion. Real hedge funds have departments, vetoes, and an emergency reflex. iQntX is what happens when you port that org chart to AI agents.
What Is Multi-Agent Trading? (And Why It Beats Single-Model Bots)
Single-model bots have nothing to veto them. Multi-agent trading systems have a council. Here is what 'multi-agent' actually means — and why it is the architecture institutional desks have used for 30 years, now finally available to retail traders.
What Is an AI Hedge Fund? (And How It's Different From a Trading Bot)
Calling a trading bot an 'AI hedge fund' is the 2026 version of calling a chatbot an 'AGI.' Here is what an AI hedge fund actually is — the org chart, the discipline, the audit trail — and how to spot the renamed bots.
Claude Trading Bot: From Single Agent to Production Multi-Agent System
Most 'Claude trading bot' tutorials end at a single LLM call wrapped in a cron job. Useful for a weekend project; not useful for a real account. Here is what it takes to take Claude from one agent to a production multi-agent trading system.
LLM Trading System Architecture: From Research Paper to Production
Research papers showed that LLMs can trade. Production showed that doing it without an architecture is how you blow up. Here is the engineering pattern that closes the gap.
Building Multi-Agent Trading Systems with Claude (the Subscription-First Way)
Calling the LLM API 32 times per cycle is a great way to burn $4,000 a month. Calling Claude via subscription CLI and falling back to the API only when needed is how iQntX runs an institutional-grade brain on a retail budget.
Why Most MT5 EAs Fail (and What We Did Differently)
Most MT5 EAs fail for five identifiable reasons. The strategy is rarely the problem. The engineering around the strategy almost always is. Here are the five failure modes and the architectural choices iQntX made to avoid them.