xticktop/skills

📖 Project Overview

XTick Skill is a professional stock real-time data API skill package that provides AI assistants (such as Lingma, Claude Code, OpenCLAW, etc.) with the ability to obtain financial data through natural language interactions.

Core Features:

• ✅ Comprehensive Data Coverage: Shanghai, Shenzhen, Beijing A-shares, ETF funds, mainstream indices, Hong Kong stocks, convertible bonds
• ✅ Rich Data Types: Market data, financial data, technical indicators, hot topics, quantitative factors
• ✅ 193+ API Interfaces: Covers all dimensions of stock analysis
• ✅ Easy to Integrate: Provides a Python SDK ready to use out of the box
• ✅ AI-Friendly: Skill specification documents designed specifically for agents

🎯 Applicable Scenarios

• 📊 Quantitative Trading: Get real-time market data and technical indicators for strategy backtesting
• 💼 Investment Analysis: Review fundamental data such as financial statements and changes in shareholders
• 🔥 Short-term Trading: Track capital flows, consecutive limit-up ladders, concept sectors, and other hot topics
• 📰 Information Monitoring: Aggregate news from mainstream financial media
• 🤖 AI Applications: Provides data support for robo-advisors and chatbots

🚀 Get Started Quickly

Prerequisites

• Python 3.7+
• Node.js (optional, for skills management tools)
• XTick account and token (free registration)

Installation Method

Method 1: Copy directly (recommended)

Method 2: Use the npx skills command

Configuring Tokens

Edit xtick/scripts/Config.py file:

Running Examples

📚 Feature Overview

XTick offers 6 major categories with a total of 193+ HTTP API interfaces:

1️⃣ Market Data Interface (8 units)

• Stock listings, trading calendars
• Candlestick data (minute/daily/weekly/monthly, etc.)
• Financial data (number of shareholders, financial indicators, top ten shareholders, etc.)

2️⃣ Monitor Data Interfaces (6)

• Real-time daily and minute candlesticks
• In-depth Market Insights (Real-time/Historical)
• Trading statistics, daily K-line restocking

3️⃣ Core Data Interfaces (8 points)

• Bidding data (real-time/historical)
• Core Indicators (Growth Rate, Turnover Rate, P/E Ratio, etc.)
• Ex-rights changes, suspension data, ST data
• Price limit-up prices, split data, and price split data

4️⃣ Short-Term Hotspot Interfaces (11 units)

• Consecutive Limit-Up Ladder (Limit-Up/Limit-down/Break-Up)
• Market sentiment indicator
• Capital flow analysis (real-time/historical)
• News and information aggregation
• Intraday time-of-day data
• Concept sector data
• Incremental update interface

5️⃣ Quantization Factor Interface (2 units)

• Real-time quantitative factors (market-wide push)
• Historical quantitative factor data

6️⃣ Financial Indicator Interfaces (157 items)

• Trend indicators: MACD, ADX, AROON, etc
• Oscillators: KDJ, RSI, CCI, WR, etc
• Volume indicators: OBV, AD, ADOSC, etc
• Volatility indicators: ATR, BOLL, etc