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Nepal Finance

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…

How I Built a Multi‑Agent LLM Trading Bot for NEPSE – From Live Ingestion to Execution

When I tried to automate my own NEPSE swing‑trades, I kept hitting the same wall: a single script that scraped prices, generated a signal, and plac…

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…

How I Built a Self‑Healing LLM Pipeline for Real‑Time Nepal Financial Event Extraction

Ever scraped a Nepali financial news headline only to realize the underlying event—“NEPSE listed a new IPO” or “Bank X raised its dividend”—was los…

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