Jcp

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jcp is an AI-driven stock analysis system that provides intelligent A-share analysis. It uses Wails, Go, and React, supporting multi-agent collaboration for investment advice.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is jcp?

jcp (韭菜盘) is an AI-powered intelligent A-share analysis system developed using the Wails framework, combining Go and React for a cross-platform desktop application. It integrates multiple large AI models such as OpenAI, Google Gemini, DeepSeek, Kimi, and GLM (OpenAI compatible interfaces). The system leverages multi-agent collaborative discussions to offer professional stock analysis and investment recommendations. Key features include a multi-agent think tank for diverse analysis perspectives, a flexible strategy management system, and an intelligent memory system that isolates long-term memory by stock. It also provides real-time market data, K-line charts, and integrates OpenClaw for deep AI-driven stock analysis.

Best used for

Ideal for investors and financial analysts who need to analyze A-share stocks, receive intelligent investment advice, and manage their strategies. Especially valuable for those seeking multi-agent collaborative analysis and real-time market insights.

Common actions

analyze stocks

get investment advice

monitor market trends

manage investment strategies

"AI Agents"github copilotautomated workflowworkflowsface swappinglow-code/no-codedeepfakeopen-sourcecollaboration

Capabilities

Key features

Multi-agent collaboration
Stock analysis
Real-time market data
K-line charts
Intelligent memory system
Strategy management
AI model integration

Target Audience

investorfinancial analyst

Integrations

openaigoogle-geminideepseekkimiglm

Pricing & Plans

Open Source

Free

FAQs

What AI models does jcp integrate for analysis?

jcp integrates multiple large AI models including OpenAI, Google Gemini, DeepSeek, Kimi, and GLM. It also supports other OpenAI-compatible interfaces, allowing for a diverse range of AI-driven analytical capabilities within the system.

How does the multi-agent system work in jcp?

The multi-agent system in jcp involves various AI expert roles, such as technical analysts, fundamental analysts, and risk control experts, collaborating to discuss and provide multi-dimensional analysis. This collaborative approach aims to offer comprehensive insights for investment decisions.

Does jcp remember past discussions about specific stocks?

Yes, jcp features an intelligent memory system that isolates long-term memory by stock. This allows the AI to remember historical discussions, key conclusions, and relevant facts for each individual stock, enhancing the continuity and depth of analysis.

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