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kamalchibrani-ai/FinAdvisor

FinSight — Streamlit + FastAPI app for India-focused equity portfolios and an agentic LangGraph assistant (OpenAI tools, Neon Postgres, optional Redis & Pinecone). Deploy-ready with Render.

Python MIT GitHub ↗ 公開URL ↗
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60
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SUMMARY AI要約 by gpt-5-mini

FinSight is a full‑stack app for retail investors (India-first symbols like RELIANCE.NS) providing portfolio tracking, market analytics and an agentic chat assistant. Intended for individual investors and developers who want a reference implementation of LLM agents applied to finance. Key components: Streamlit UI, FastAPI backend with streaming NDJSON, Neon Postgres for durable storage, optional Redis session cache, and Pinecone for semantic long‑term memory. It uses LangGraph for a tool-calling agent (OpenAI chat + embeddings), yfinance for prices/fundamentals, bcrypt auth, and versioned SQL migrations. Primary features: email/password auth, CRUD portfolio holdings, live marks and P&L, dashboard metrics and charts, multi-thread persistent chat with agent tools (prices, fundamentals, comparisons, returns math, optional news), and deployable via Render. Requirements include Python 3.12, OpenAI and Pinecone keys, and a Postgres instance.

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
OpenAI
🧩 AIフレームワーク (1)
LangGraph
🗄️ ベクトルDB (1)
Pinecone
💾 一般データベース (2)
Redis Neon
🌐 Web/アプリフレームワーク (2)
Streamlit FastAPI

GitHub Topics

#agents #fastapi #langgraph #llm-agents #llm-tools #neondb #openai #pinecone #python #render-deployment #yfinance

使用言語(バイト数比)

Python
100%

オーナー情報

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kamalchibrani-ai
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日付

GitHub作成日 2026-05-07
最終Push 2026-05-09
当サイト初検出 2026-05-09
最終取得 2026-05-09 14:23

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