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From Data to Deal: Building a Live Multi‑Agent LLM Trading System for NEPSE with TradingAgents

When I first wired my consensus‑driven LLM analyst to a spreadsheet, the biggest disappointment was watching the signal sit there, never reaching t…

Orchestrating Collective Intelligence: Multi‑Agent LLMs for Consensus‑Driven NEPSE Trade Recommendations

When I first let a single LLM decide whether to buy NBL, the answer felt lucky rather than reasoned. The market’s nuance—technical over‑bought sign…

Beyond Extraction: Engineering an LLM Agent for Context‑Aware NEPSE Trade Decisions

Ever stared at a breaking news alert about a Nepali firm and wondered whether you should buy, sell, or just ignore it? I was in that exact spot las…

Beyond Deterministic Tools: Architecting Self-Correcting Agentic Workflows with Claude Code and Pydantic AI

Learn to build resilient, self-correcting AI agent workflows by combining Claude's on-the-fly code generation (for structured data output) with…

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