Finance - Py Data

Finance

Orchestrating LLM Consensus: Building a Multi‑Agent Pipeline to Synthesize Simulated Financial News

Ever stared at a dozen headlines, analyst quotes, and blog posts and wondered how a single, trustworthy trading signal could emerge without you man…

Claude Code Plugins: Building a Real‑Time NEPSE MLOps Pipeline

When I was building a live trading signal for Nepali equities, I spent hours writing async ingestion, database schemas, and a FastAPI wrapper. Clau…

From Unstructured Noise to Actionable Signals: Architecting Multi-Stage LLM Pipelines for Robust Event Extraction

From Unstructured Noise to Actionable Signals: Architecting Multi-Stage LLM Pipelines for Robust Event Extraction

Master the architecture of a multi-stage LLM pipeline that reliably extracts structured events from dynamic text streams, employing robust valida…

Building a Value Investing Research Framework with Python: Analyzing PyPI Download Stats for Insights

Building a Value Investing Research Framework with Python: Analyzing PyPI Download Stats for Insights

Have you ever wondered how to identify undervalued projects with high growth potential using PyPI download stats? As a value investor or data sci…

Crafting an AI-Powered Value Investment Framework with Python and Generative Agents: A Step-by-Step Guide

Crafting an AI-Powered Value Investment Framework with Python and Generative Agents: A Step-by-Step Guide

As I delved into the world of finance and investing in Nepal, I realized that identifying undervalued stocks and creating a diversified portfolio…

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