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TradeWise-AI is a paper trading platform that integrates machine learning and large language models. It not only generates trading signals but also uses natural language to explain decision logic, helping users improve their investment skills in a zero-risk environment.
Section 01
TradeWise-AI is an AI-driven paper trading platform that combines machine learning (ML) and large language models (LLM) to help users learn investment skills in a zero-risk environment. It addresses the gap between theoretical knowledge and practical experience for new investors by not only generating trading signals but also providing natural language explanations for decision logic.
Section 02
Traditional paper trading platforms only offer basic price data and execution functions, lacking in-depth analysis of decision logic. TradeWise-AI breaks this limitation by integrating ML's technical analysis capabilities with LLM's natural language understanding. Its core concept is "know not just what to do, but why"—each trading signal comes with detailed, easy-to-understand explanations of market trends, technical indicators, and potential risks.
Section 03
The platform uses a modern front-end and back-end separation architecture:
Section 04
TradeWise-AI's core value lies in its dual-engine decision system:
Section 05
The project prioritizes developer experience:
npm run dev command starts both frontend (localhost:3000) and backend (127.0.0.1:8000) services, lowering entry barriers for rapid prototyping.frontend/.env.example, backend settings in backend/.env.example, and root .env for local development—ensuring flexibility and security.Section 06
TradeWise-AI caters to multiple user groups:
Section 07
Key technical highlights:
Section 08
TradeWise-AI represents a new AI application paradigm—focusing on explainable decisions rather than just answers. In FinTech, "explainable AI" is increasingly critical amid stricter regulations and demand for transparency. For learners, strategy developers, and system builders, it offers an excellent open-source reference with clear architecture, modern tech choices, and innovative features, pointing to future potential in the field.
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