[PR #38] Add quantitative trading backtest platform MVP #39

New Issue

2026-02-16T07:16:36-05:00

yindo commented

2026-02-16 07:16:36 -05:00

📋 Pull Request Information

Original PR: https://github.com/langchain-ai/langgraph-codeact/pull/38
Author: @JayTing511
Created: 11/17/2025
Status: 🔄 Open

Base: main ← Head: claude/analyze-project-highlights-01VzrNaRBXoggLLVfVnFeVHA

📝 Commits (2)

fb606f6 Add quantitative trading backtest platform MVP
827e0ce Add comprehensive testing tools and guide

📊 Changes

6 files changed (+2255 additions, -0 deletions)

View changed files

➕ QUANT_BACKTEST_PLAN.md (+452 -0)
➕ QUICKSTART_QUANT.md (+412 -0)
➕ TEST_GUIDE.md (+385 -0)
➕ examples/quant_backtest_example.py (+366 -0)
➕ examples/quant_tools.py (+412 -0)
➕ examples/test_strategies.py (+228 -0)

📄 Description

This commit adds a complete implementation plan and MVP code for building a quantitative trading backtest platform powered by langgraph-codeact.

Key Features:

Zero-code backtesting through natural language conversations
Multi-turn strategy optimization with variable persistence
Comprehensive financial tools library (MA, RSI, MACD, etc.)
Professional backtest engine with performance metrics

Files Added:

QUANT_BACKTEST_PLAN.md: Complete project implementation plan
QUICKSTART_QUANT.md: Quick start guide for developers
examples/quant_tools.py: Financial analysis tools library
examples/quant_backtest_example.py: Full working examples

Target Market: Individual investors and small hedge funds
Tech Stack: LangGraph CodeAct + Claude + TradingView charts
Business Model: SaaS subscription (¥99-299/month)

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/langgraph-codeact/pull/38 **Author:** [@JayTing511](https://github.com/JayTing511) **Created:** 11/17/2025 **Status:** 🔄 Open **Base:** `main` ← **Head:** `claude/analyze-project-highlights-01VzrNaRBXoggLLVfVnFeVHA` --- ### 📝 Commits (2) - [`fb606f6`](https://github.com/langchain-ai/langgraph-codeact/commit/fb606f63f4cc65b83b81ddefe91e4c50e2cbee0a) Add quantitative trading backtest platform MVP - [`827e0ce`](https://github.com/langchain-ai/langgraph-codeact/commit/827e0cec71805e7cad03c6cef6237236100ad6e6) Add comprehensive testing tools and guide ### 📊 Changes **6 files changed** (+2255 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `QUANT_BACKTEST_PLAN.md` (+452 -0) ➕ `QUICKSTART_QUANT.md` (+412 -0) ➕ `TEST_GUIDE.md` (+385 -0) ➕ `examples/quant_backtest_example.py` (+366 -0) ➕ `examples/quant_tools.py` (+412 -0) ➕ `examples/test_strategies.py` (+228 -0) </details> ### 📄 Description This commit adds a complete implementation plan and MVP code for building a quantitative trading backtest platform powered by langgraph-codeact. Key Features: - Zero-code backtesting through natural language conversations - Multi-turn strategy optimization with variable persistence - Comprehensive financial tools library (MA, RSI, MACD, etc.) - Professional backtest engine with performance metrics Files Added: - QUANT_BACKTEST_PLAN.md: Complete project implementation plan - QUICKSTART_QUANT.md: Quick start guide for developers - examples/quant_tools.py: Financial analysis tools library - examples/quant_backtest_example.py: Full working examples Target Market: Individual investors and small hedge funds Tech Stack: LangGraph CodeAct + Claude + TradingView charts Business Model: SaaS subscription (¥99-299/month) --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

yindo added the pull-request label 2026-02-16 07:16:36 -05:00

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Reference: langchain-ai/langgraph-codeact#39