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Tigeropen

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qusong0627
tigeropen

Tiger Brokers OpenAPI Python SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, CLI command-line tool, and MCP server integration. Use when building trading applications, querying market data, placing orders, using the tigeropen CLI, or integrating Tiger Brokers API with AI editors. 老虎证券 OpenAPI Python SDK 完整技能集。涵盖 SDK 配置、行情查询、股票/期货/期权交易、实时推送订阅、CLI 命令行工具、MCP Server 集成。适用于构建交易应用、查询行情数据、下单交易、使用 tigeropen CLI、或将老虎 API 集成到 AI 编辑器。 用户提到以下关键词时自动使用 / Auto-activate on these keywords: 行情、报价、价格、K线、快照、买卖盘、深度、买入、卖出、下单、撤单、改单、交易、持仓、资金、账户、订单、委托、期权、期权链、到期日、期货、推送、订阅、选股、筛选、tigeropen、tiger API、quote、price、K-line、order、buy、sell、trade、position、asset、account、option、future、push、scanner

Overview

Publisherqusong0627
RepositoryQuantMind
Skill nametigeropen
Stars
1.7K
Forks
387
Bundled files
7
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by qusong0627 on GitHub. Read the source before you install it.

Installation

Install the Tigeropen AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/qusong0627/QuantMind/tree/master/skills/tigeropen
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/qusong0627/QuantMind.git /tmp/QuantMind
mkdir -p .claude/skills
cp -r /tmp/QuantMind/skills/tigeropen .claude/skills/tigeropen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tigeropen in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tigeropen on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tigeropen is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tiger Open API Python SDK

老虎量化开放平台 Python SDK 完整技能集 / Complete AI skill set for Tiger Brokers OpenAPI

安全警告 / Safety Warning: 交易涉及真实资金。生成交易代码时默认使用模拟账户(Paper Trading),除非用户明确要求实盘。实盘下单前必须:1) 调用 preview_order() 展示预估佣金;2) 以表格展示订单详情;3) 停止并等待用户明确确认后才能调用 place_order()。 Trading involves real money. Default to Paper Trading unless the user explicitly requests live trading. Before any live place_order() call: 1) call preview_order() and show estimated fees, 2) display order details in a table, 3) stop and wait for explicit user confirmation — never auto-submit.

Language Rules / 语言规则

根据用户输入语言自动回复。用户使用英文提问则用英文回复,使用中文提问则用中文回复。技术术语(代码、API 名称、参数名)保持原文不翻译。 Reply in the user's language. Keep technical terms (code, API names, parameters) as-is.

Reference Guides

This skill is organized into focused reference files. Load the relevant guide based on your task:

  • Quickstart — SDK install, authentication, client setup, enums/objects, error codes, FAQ
  • Market Data — Real-time quotes, K-lines, depth, ticks, capital flow, fundamentals, scanner
  • Trading — Place orders (market/limit/stop/algo), order management, assets, positions, fund transfers
  • Options — Option chains, Greeks, single-leg/multi-leg combos, option calculator
  • Real-time Push — Subscribe to quote/depth/tick/K-line/order/position/asset changes via PushClient
  • CLI Tool — Command-line interface: config, quote, trade, account, push commands with table/json/csv output
  • MCP Server — Expose Tiger API as MCP tools for Cursor, Claude Code, Kiro, Trae

Quick Start

python
from tigeropen.common.consts import Language, Market
from tigeropen.tiger_open_config import TigerOpenClientConfig
from tigeropen.common.util.signature_utils import read_private_key
from tigeropen.quote.quote_client import QuoteClient
from tigeropen.trade.trade_client import TradeClient

# 1. Configure / 配置
# 方式一:配置文件(推荐) / Method 1: Config file (recommended)
config = TigerOpenClientConfig(props_path='/path/to/your/config/')

# 方式二:代码赋值 / Method 2: Code assignment
# config = TigerOpenClientConfig()
# config.tiger_id = 'your_tiger_id'
# config.private_key = read_private_key('/path/to/your_private_key.pem')
# config.account = 'your_account'
# config.language = Language.en_US

# 2. Query quotes / 查询行情
quote_client = QuoteClient(config)
quote = quote_client.get_market_status(Market.US)

# 3. Place order / 下单
trade_client = TradeClient(config)
# See references/trade.md for order examples

When to Use Each Reference

TaskReference
First time setup, SDK install, auth configquickstart.md
Get stock/option/future quotes, K-lines, screenerquote.md
Place/modify/cancel orders, check positions/assetstrade.md
Option chains, Greeks, combo strategiesoption.md
Real-time streaming data via WebSocketpush.md
CLI commands: query data, manage orders from terminalcli.md
Set up MCP Server for AI editor integrationmcp.md

Common Symbols / 常见标的速查

当用户使用中文名称或英文简称时,按下表映射。不在表中的标的根据上下文判断。 Map user's natural language to symbols. For unlisted symbols, infer from context.

港股 HK

常见称呼代码 Symbol
腾讯00700
阿里巴巴、阿里09988
美团03690
小米01810
京东09618
比亚迪01211
快手01024
百度09888
网易09999
中芯国际00981
MINIMAX00100
智谱02513

美股 US

常见称呼代码 Symbol
苹果 / AppleAAPL
特斯拉 / TeslaTSLA
英伟达 / NVIDIANVDA
微软 / MicrosoftMSFT
谷歌 / GoogleGOOGL
亚马逊 / AmazonAMZN
MetaMETA
台积电 / TSMTSM
AMDAMD
老虎证券 / Tiger / TIGRTIGR
阿里巴巴(美股)/ BABABABA
京东(美股)/ JDJD
拼多多 / PDDPDD
标普500 ETF / SPYSPY
纳指 ETF / QQQQQQ

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tigeropen AI skill do?

Tiger Brokers OpenAPI Python SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, CLI command-line tool, and MCP server integration. Use when building trading applications, querying market data, placing orders, using the tigeropen CLI, or integrating Tiger Brokers API with AI editors. 老虎证券 OpenAPI Python SDK 完整技能集。涵盖 SDK 配置、行情查询、股票/期货/期权交易、实时推送订阅、CLI 命令行工具、MCP Server 集成。适用于构建交易应用、查询行情数据、下单交易、使用 tigeropen CLI、或将老虎 API 集成到 AI 编辑器。 用户提到以下关键词时自动使用 / Auto-activate on these keywords: 行情、报价、价格、K线、快照、买卖盘、深度、买入...

Why use Tigeropen on TypingMind?

Because you install it once and use it with any model. Tigeropen is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tigeropen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/qusong0627/QuantMind/tree/master/skills/tigeropen. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tigeropen?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tigeropen?

As many as you like. As long as a model supports skills, you can use Tigeropen with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tigeropen AI skill free?

Yes. It is published on GitHub by qusong0627 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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