A powerful Python-based market data connector for real-time and historical financial analysis across global markets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tickflow
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tickflow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is TickFlow?
TickFlow is a comprehensive market data skill designed for Openclaw Skills users who require high-fidelity financial information. By leveraging the TickFlow Python SDK, this skill enables seamless integration of real-time quotes, K-line (candlestick) data, and deep financial metrics directly into your AI agent workflows. It covers a vast range of markets including A-shares (Shanghai, Shenzhen, Beijing), Hong Kong stocks, US stocks, and major Chinese futures exchanges.
Built for quantitative trading and data analysis, TickFlow provides both a free tier for historical daily data and a premium tier for real-time, minute-level granularity. It supports standardized symbol formats and provides data in developer-friendly structures like pandas DataFrames, making it an essential tool for building sophisticated financial AI agents.
TickFlow Use Cases
- Building automated quantitative trading bots and backtesting strategies.
- Real-time monitoring of stock price fluctuations across global markets.
- Performing fundamental analysis using historical financial statements and core metrics.
- Generating technical indicators like MA and MACD for automated market alerts.
- Screening high-quality stocks based on custom financial criteria such as ROE and net margin.
How TickFlow Works
- The user initializes the TickFlow client within the Openclaw Skills environment using either a free or authenticated API session.
- Commands are issued using a standardized symbol format (e.g., Code.Market) to query specific instruments.
- The skill fetches data via the TickFlow Python SDK, supporting batch processing for multiple symbols simultaneously.
- Data is processed into requested formats, such as Python dictionaries or pandas DataFrames, for immediate analysis.
- AI agents utilize this data to perform tasks like technical analysis, financial reporting, or real-time portfolio tracking.
TickFlow Setup
1. Install uv Package Manager
Ensure uv is installed to manage dependencies efficiently:
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Configure Workspace
Create a dedicated directory and initialize the project:
mkdir -p python
cd python
cat > pyproject.toml << 'EOF'
[project]
name = "tickflow-workspace"
version = "0.1.0"
requires-python = ">=3.10"
dependencies = ["tickflow[all]>=0.1.17"]
EOF
uv sync
3. Set API Key
Obtain your key from tickflow.org and export it as an environment variable:
export TICKFLOW_API_KEY="your-api-key"
TickFlow Data Schema & Taxonomy
TickFlow utilizes a unified symbol taxonomy and structured data outputs:
| Market | Suffix | Description |
|---|---|---|
| Shanghai | .SH | A-shares, ETFs, Bonds |
| Shenzhen | .SZ | A-shares, ChiNext, ETFs |
| US Stocks | .US | All US equity markets |
| HK Stocks | .HK | Hong Kong Stock Exchange |
| Futures | .SHF/.DCE | Major Chinese Commodity Futures |
Data Formats:
- Quotes: Real-time price, change percentage, and volume.
- K-Lines: OHLCV data for intervals: 1m, 5m, 15m, 30m, 60m, 1d, 1w, 1M.
- Financials: Income statements, balance sheets, and cash flow reports.
TickFlow Advanced Features
- Multi-Market Hybrid Queries: Query A-shares, US, and HK stocks in a single batch request.
- Automated Financial Screening: Programmatically filter stocks by ROE, debt ratios, and earnings growth.
- Technical Indicator Integration: Native support for rolling calculations and technical analysis via pandas.
- Intraday Batch Processing: Efficiently download 1-minute K-line data for entire market universes.
- Progress Tracking: Built-in progress bars for large-scale historical data synchronization.
SKILL.md
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