ValueScan is a sophisticated cryptocurrency analysis tool designed to track smart money flows, whale movements, and market signals for informed trading.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mjc-test-destory
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 mjc-test-destory 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 ValueScan Cryptocurrency Analysis?
ValueScan provides a deep-dive analysis into the cryptocurrency market by monitoring the movement of major funds and whale addresses. This skill enables users to identify market trends, track sector rotations, and detect early signals of institutional activity. By integrating with Openclaw Skills, it transforms complex blockchain data into actionable insights for traders and researchers.
The tool covers a wide array of data points including real-time capital accumulation, exchange inflow/outflow, and social sentiment. Whether you are looking for short-term arbitrage opportunities or long-term trend analysis, ValueScan serves as a data-driven co-pilot for navigating the volatile crypto landscape.
ValueScan Cryptocurrency Analysis Use Cases
- Monitoring real-time capital movement signals to identify trending tokens.
- Tracking large-scale whale transfers (over 1000 ETH) to anticipate market volatility.
- Analyzing sector rotation within the AI or DeFi ecosystems to spot emerging opportunities.
- Identifying key support and resistance levels for Bitcoin and Ethereum based on major holder costs.
- Evaluating the profit/loss trends and historical cost basis of specific blockchain addresses.
How ValueScan Cryptocurrency Analysis Works
- The user initiates a query through an Openclaw Skills enabled agent (e.g., "Which coins show major fund movement?").
- The skill first calls the Token List interface to resolve the specific vsTokenId for the requested assets.
- It then fetches real-time or historical data from the relevant API endpoint (AI Selection, Exchange Flow, or On-chain Monitoring).
- The raw data is processed using the provided metadata schema and enum mappings to translate numerical codes into human-readable market signals.
- The finalized analysis is returned to the user, highlighting opportunities, risks, or cost-basis insights.
ValueScan Cryptocurrency Analysis Setup
To use this skill within the Openclaw Skills framework, you need to obtain your API credentials from the ValueScan developer portal.
# Define your credentials in your environment configuration
# Register at https://beta.valuescan.io/dev-portal/home/
VALUESCAN_API_KEY="your_api_key"
VALUESCAN_SECRET_KEY="your_secret_key"
The skill requires Node.js 16+ for signature generation using the HMAC-SHA256 protocol.
ValueScan Cryptocurrency Analysis Data Schema & Taxonomy
The skill organizes its data across several specialized categories to ensure high-fidelity reporting:
| Category | Key Files/Endpoints | Primary Data Points |
|---|---|---|
| Base Data | token-list.json, kline.json | Prices, Market Cap, vsTokenId |
| AI Selection | chance-coin-list.json | Breakthrough signals, Accumulation alerts |
| Fund Flows | realtime-fund.json, cost.json | Net inflows, Main force cost basis |
| On-chain | large-trade.json, holders.json | Whale transfers, Address concentration |
| Indicators | sentiment.json, dense-area.json | Social mood, Support/Resistance levels |
ValueScan Cryptocurrency Analysis Advanced Features
- Multi-timeframe K-line data support (from 5-minute to 30-day particles).
- Automated HMAC-SHA256 request signing for secure, high-frequency data fetching.
- Real-time sector monitoring to track capital rotation across different crypto categories.
- Whale profit/loss performance tracking to identify 'Smart Money' addresses.
- Integration of social media sentiment analysis with technical on-chain indicators.
SKILL.md
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