A high-performance real-time WebSocket feed providing 1-second OHLC ticks and USD pricing for thousands of tokens across eight major blockchain networks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-chart-usd
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 crypto-chart-usd 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 Crypto Real-Time USD Charting?
The crypto-chart-usd skill provides developers with a direct pipeline to real-time market data without the latency of polling. By leveraging the Bitquery Trading.Tokens API, this Openclaw Skills addition streams 1-second interval candles (OHLC), volume metrics, and moving averages directly into your development environment. It serves as a unified interface for the crypto ecosystem, covering networks from Ethereum and Solana to Layer 2 solutions like Base and Arbitrum.
This tool is designed for high-frequency data requirements, offering millisecond-level granularity for developers building trading interfaces or analytics engines. By consolidating multi-chain data into a single WebSocket stream, it eliminates the need for managing multiple API connections, providing a streamlined path to professional-grade financial data.
Crypto Real-Time USD Charting Use Cases
- Power live multi-token dashboards with sub-second price updates across different blockchains simultaneously.
- Monitor USD-denominated volume and liquidity for specific tokens to identify market trends as they happen.
- Build automated technical analysis bots that utilize real-time SMA, EMA, and Weighted moving averages.
- Track cross-chain price discrepancies and volatility for arbitrage or risk management systems.
How Crypto Real-Time USD Charting Works
- The system validates the BITQUERY_API_KEY environment variable to ensure authorized access to the Bitquery Trading.Tokens API.
- A WebSocket connection is established with the token embedded as a query parameter for secure session initialization.
- A GraphQL subscription is dispatched to the endpoint, requesting specific fields such as OHLC prices and volume for a 1-second duration.
- The server pushes real-time JSON payloads containing market data whenever a new tick is generated on-chain.
- The skill parses the incoming stream, providing metadata for the token, block timing, and price averages for immediate consumption or logging.
Crypto Real-Time USD Charting Setup
To get started with this skill, ensure you have your API key ready and your environment configured.
# Export your Bitquery API Key
export BITQUERY_API_KEY=your_api_token_here
# Install the necessary WebSocket client for Python
pip install 'gql[websockets]'
# Execute the streaming script provided by Openclaw Skills
python ~/.openclaw/skills/crypto-chart-usd/scripts/stream_crypto_chart.py
Crypto Real-Time USD Charting Data Schema & Taxonomy
The skill returns a structured data object for every tick in the stream. Below is the primary metadata and pricing taxonomy:
| Category | Fields | Description |
|---|---|---|
| Token Metadata | Address, Name, Network, Symbol | Identifies the specific asset and its native blockchain. |
| Block Info | Date, Time, Timestamp | Provides exact synchronization with the blockchain state. |
| Interval | Start, End, Duration | Defines the timeframe for the candle (default is 1 second). |
| Volume | Base, Quote, Usd | Quantifies the amount traded in various denominations. |
| Price Data | Open, High, Low, Close | The standard OHLC candle data for charting. |
| Averages | SMA, EMA, Mean | Pre-calculated moving averages for technical analysis. |
Crypto Real-Time USD Charting Advanced Features
- Multi-Chain Aggregation: Monitor Ethereum, Solana, BSC, Arbitrum, Base, Matic, Tron, and Optimism in a single stream.
- Built-in Moving Averages: Access Exponential and Simple Moving Averages directly from the API without manual calculation.
- USD Pricing Logic: Automatic identification of USD-quoted tokens for simplified financial reporting and dashboarding.
- Flexible Intervals: Support for various candle durations beyond 1 second by modifying the subscription where clause.
- Low-Latency Streaming: Uses WebSocket protocols to push data immediately, bypassing the overhead of traditional REST polling.
SKILL.md
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