A professional-grade on-chain intelligence tool for monitoring institutional movements and high-value DeFi whale activities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-money-tracker
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 smart-money-tracker 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 Smart Money Tracker?
Smart Money Tracker is a specialized analytics tool built for the Openclaw Skills ecosystem, designed to bridge the information gap between individual traders and major market movers. By monitoring the blockchain activities of top-tier venture capital firms like a16z and Paradigm, this skill provides users with high-fidelity insights into where capital is flowing in the DeFi space. It synthesizes complex transaction data into actionable trading signals, allowing users to understand the strategic positioning of professional institutions and high-net-worth whales.
This skill is essential for anyone looking to leverage Openclaw Skills for financial research, offering a data-driven approach to market sentiment. It transforms raw on-chain events into structured intelligence, covering everything from portfolio rebalancing to large-scale token transfers that typically precede market volatility.
Smart Money Tracker Use Cases
- Tracking the real-time portfolio changes and holdings of major crypto investment funds.
- Generating copy-trading signals based on the entry and exit points of successful on-chain addresses.
- Monitoring large-scale token movements (whale alerts) to anticipate price shifts.
- Analyzing historical profit and loss (PnL) performance of specific elite wallet addresses.
- Performing deep-dive gas fee analysis to gauge the urgency of institutional transactions.
How Smart Money Tracker Works
- The skill receives a trigger command or a specific wallet address/token request from the user.
- It interfaces with blockchain data providers to scan for recent transactions associated with known institutional or whale addresses.
- The raw data is filtered to identify significant activities such as multi-million dollar swaps, liquidity provisioning, or new token acquisitions.
- It calculates the potential impact and identifies if the activity represents a buy or sell signal.
- The refined intelligence is delivered back to the user or agent, formatted for immediate decision-making or portfolio tracking.
Smart Money Tracker Setup
To begin using this skill within your Openclaw Skills environment, ensure your agent has the required permissions and a sufficient balance to cover the nominal fee per call.
# Standard activation within the agent interface
/activate smart-money-tracker
# Example usage for tracking a specific whale
{ "action": "track", "address": "0x..." }
Smart Money Tracker Data Schema & Taxonomy
The skill organizes its output into a structured format compatible with financial analysis tools and automated trading workflows.
| Parameter | Type | Description |
|---|---|---|
action |
string | The specific function executed (track, signals, portfolio) |
address |
string | The target EVM wallet address being monitored |
token |
string | The asset symbol or contract address involved in the signal |
signal_type |
string | Categorization of the event (e.g., accumulation, distribution) |
gas_analysis |
object | Metadata regarding transaction priority and network cost |
Smart Money Tracker Advanced Features
- Real-time alerts for institutional wallet rebalancing and multi-signature movements.
- Cross-referencing whale activity with market liquidity to predict slippage and price impact.
- Integration-ready signals for automated DeFi execution via Openclaw Skills.
- Comprehensive PnL auditing to verify the 'smart' status of monitored addresses before following signals.
SKILL.md
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