recipe-track-orderbook-depth
Monitor order book depth and bid-ask imbalance for liquidity signals.
Best use case
recipe-track-orderbook-depth is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitor order book depth and bid-ask imbalance for liquidity signals.
Teams using recipe-track-orderbook-depth 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/kraken-official-recipe-track-orderbook-depth/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How recipe-track-orderbook-depth Compares
| Feature / Agent | recipe-track-orderbook-depth | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitor order book depth and bid-ask imbalance for liquidity signals.
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
# Track Order Book Depth > **PREREQUISITE:** Load the following skills to execute this recipe: `kraken-market-intel`, `kraken-ws-streaming` Monitor order book depth for a pair and detect bid-ask imbalance as a liquidity signal. ## Steps 1. Get a snapshot: `kraken orderbook BTCUSD --count 25 -o json 2>/dev/null` 2. Sum bid volume (top 10 levels) and ask volume (top 10 levels) 3. Calculate imbalance ratio: bid_volume / (bid_volume + ask_volume) - Ratio > 0.6: strong bid-side (buying pressure) - Ratio < 0.4: strong ask-side (selling pressure) 4. Start streaming for continuous monitoring: `kraken ws book BTC/USD --depth 10 -o json 2>/dev/null` 5. Parse each update and recalculate imbalance 6. Alert when imbalance crosses threshold 7. Optionally compare across pairs (one call per pair): `kraken orderbook BTCUSD --count 10 -o json 2>/dev/null` then `kraken orderbook ETHUSD --count 10 -o json 2>/dev/null`
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