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".

25 stars

Best use case

monitoring-whale-activity is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using monitoring-whale-activity should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/monitoring-whale-activity/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/jeremylongshore/claude-code-plugins-plus-skills/monitoring-whale-activity/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/monitoring-whale-activity/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How monitoring-whale-activity Compares

Feature / Agentmonitoring-whale-activityStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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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