Open-Trading-Api

Visit Tool

open-trading-api is an Open Source AI Agents & Automation tool that provides sample code for connecting to the Korea Investment & Securities Open API. It helps developers integrate LLM-based automation and traditional Python trading strategies.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is open-trading-api?

The open-trading-api GitHub repository offers comprehensive sample code for integrating with the Korea Investment & Securities (KIS) Open API. Designed for both Python developers and LLM-based automated trading environments, it simplifies the process of understanding and utilizing the KIS API. The repository includes functional unit samples for LLMs, practical API call examples for users, a strategy builder with visual UI, and a backtesting engine. It supports various API categories including domestic and overseas stocks, bonds, futures, options, ELW, and ETF/ETN. The tool aims to reduce development burden and facilitate the creation of AI-driven trading strategies and automated systems.

Best used for

Ideal for developers who need to integrate with the Korea Investment & Securities Open API, build automated trading systems, and backtest investment strategies. Especially valuable for those looking to leverage LLMs for financial market analysis and execution.

Common actions

automate trading

build trading strategies

integrate financial APIs

backtest strategies

automated workflowworkflowsdeepfakeopen-sourcecollaborationlow-code/no-codegithub copilotface swapping"AI Agents"

Capabilities

Key features

LLM sample code
User API examples
Strategy builder
Backtesting engine
Multiple API categories
Python 3.11+ support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What financial instruments does the KIS Open API support through this sample code?

The sample code supports a wide range of financial instruments including domestic and overseas stocks, bonds, futures, options, ELW, and ETF/ETN. This allows for comprehensive trading and analysis across various markets.

What are the primary components of the open-trading-api repository?

The repository includes examples tailored for LLMs, user-focused API examples for practical implementation, a strategy builder for designing trading strategies, and a backtesting engine to validate strategies with historical data.

What are the Python environment requirements for using this API?

Users need Python 3.11 or higher. The uv package manager is recommended for efficient dependency management, and instructions are provided for its installation and project setup.

Trending

Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce