Earnings Analysis Series: Part 2 – Data Models for Structured Earnings Insights
10/9/2025Tutorials
Design nested JSON schemas for MongoDB to structure earnings-call channels, videos, transcripts, and extractions.

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Insights on data, AI, and technology.
10/9/2025Tutorials
Design nested JSON schemas for MongoDB to structure earnings-call channels, videos, transcripts, and extractions.
10/8/2025 · NazariTutorials
Part 1: Architecture and goals for EarningsAnalysis.com — a platform to summarize market talks, extract tickers, and collect resources using FastAPI, Next.js, Azure OpenAI, MongoDB, Redis, and Celery.
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A practical, structured guide to the main categories of securities—equities, debt, derivatives, hybrids, and others—with examples, use cases, and risk considerations.
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An AI-assisted overview of the main psychological challenges traders face and practical strategies to mitigate them.
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Guide to trading price levels—support, resistance, supply/demand—with examples and ASCII illustrations of bounces, breakouts, and retests.
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A practical guide to advanced function techniques in Python: decorators, closures, generators, context managers, and more.
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An introduction to Rust fundamentals: ownership, borrowing, types, pattern matching, traits, and tooling.
10/6/2025 · NazariMarkets
Comprehensive deep-dive into Tesla’s market dynamics, stock performance, and future outlook.
10/6/2025 · NazariTutorials
A concise guide to the most useful built-in Python functions for beginners, with examples.
10/6/2025 · NazariTutorials
Introduction to Next.js 13 App Router