monitoring-whale-activity
Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".
What this skill does
# Monitoring Whale Activity
## Contents
[Overview](#overview) | [Prerequisites](#prerequisites) | [Instructions](#instructions) | [Output](#output) | [Error Handling](#error-handling) | [Examples](#examples) | [Resources](#resources)
## Overview
Track large cryptocurrency transactions and whale wallet movements across multiple blockchains. Monitor exchange inflows/outflows, manage custom watchlists, and identify known wallets (exchanges, funds, bridges).
## Prerequisites
1. Install Python 3.8+ with requests library
2. Optionally obtain Whale Alert API key (free tier available for live data)
3. Verify internet access for API calls
## Instructions
### Step 1: Navigate to Scripts Directory
```bash
cd ${CLAUDE_SKILL_DIR}/scripts
```
### Step 2: Choose a Command
1. View recent whale transactions: `python whale_monitor.py recent`
2. Analyze exchange flows: `python whale_monitor.py flows`
3. Manage watchlist: `python whale_monitor.py watchlist`
4. Track specific wallet: `python whale_monitor.py track 0x123...`
5. Search known labels: `python whale_monitor.py labels --query binance`
Alternatively, customize with chain and threshold filters:
```bash
python whale_monitor.py recent --chain ethereum # Specific chain
python whale_monitor.py recent --min-value 10000000 # 10000000: $10M+ only
python whale_monitor.py watch 0x123... --name "My Whale" # Add to watchlist
python whale_monitor.py labels --type exchange # Or use type filter
```
### Step 3: Interpret Results
**Transaction Types:**
- DEPOSIT: Sent to exchange (potential selling pressure)
- WITHDRAWAL: From exchange (accumulation signal)
- TRANSFER: Wallet to wallet (whale movement)
**Flow Analysis:**
- Net positive flow to exchanges = selling pressure
- Net negative flow from exchanges = buying pressure
## Output
- Real-time whale transactions with USD values
- Labeled wallets (exchanges, funds, bridges, protocols)
- Exchange inflow/outflow summaries
- Custom watchlist tracking
- JSON, table, or alert format output (`--format json`)
## Error Handling
See `${CLAUDE_SKILL_DIR}/references/errors.md` for:
- API rate limit handling and backoff
- Network timeout recovery
- Invalid address format validation
- Price service fallbacks
## Examples
**Example 1: View $10M+ whale transactions on Ethereum:**
```bash
python whale_monitor.py recent --chain ethereum --min-value 10000000 # 10000000 = 10M limit
```
**Example 2: Analyze if whales are selling:**
```bash
python whale_monitor.py flows --chain ethereum
```
**Example 3: Track a known whale wallet:**
```bash
python whale_monitor.py watch 0x28c6c... --name "Binance Cold"
python whale_monitor.py track 0x28c6c...
```
**Example 4: Export to JSON for further analysis:**
```bash
python whale_monitor.py recent --format json > whales.json
```
See `${CLAUDE_SKILL_DIR}/references/examples.md` for more usage patterns.
## Resources
- `${CLAUDE_SKILL_DIR}/references/implementation.md` - Flow analysis, wallet database, multi-chain details
- [Whale Alert](https://whale-alert.io) - Real-time whale transaction API
- [Etherscan](https://etherscan.io) - Ethereum blockchain explorer
- [CoinGecko](https://coingecko.com) - Price data API
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