A real-time Bollinger Band analysis and squeeze detection signal powered by autonomous trading data for crypto markets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bb-analysis
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 bb-analysis 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 bb-analysis?
The bb-analysis tool is a high-performance cryptocurrency trading signal designed specifically for integration with autonomous agents and programmatic systems. Part of the Openclaw Skills ecosystem, it delivers real-time Bollinger Band metrics, squeeze detection, and breakout probabilities computed directly from live trading operations across top exchanges including Kraken, Coinbase Advanced Trade, and Hyperliquid.
Unlike traditional lagging indicators derived from static historical backtests or delayed third-party aggregators, this skill operates dynamically. By leveraging the power of Openclaw Skills, developers can directly integrate micro-payment-enabled, institutional-grade market data into their trading applications without the friction of long-term subscriptions or manual API key management.
bb-analysis Use Cases
- Identifying high-volatility breakout opportunities through Bollinger Band squeeze detection.
- Conducting pre-trade validation for mean-reversion or momentum-based strategies.
- Quantifying market extremities to refine entry and exit execution targets.
- Orchestrating automated trading pipelines within decentralized autonomous agents using Openclaw Skills.
How bb-analysis Works
- Initiate Request: The AI agent or trading application invokes an automated GET request to the APEX Runner signal endpoint.
- Micro-payment Authentication: The integrated x402 protocol intercepts the request, handling payment authorization automatically using USDC on the Base mainnet.
- Signature Verification: The system verifies the EVM private key provided in the environment variables to authenticate the transacting wallet.
- Data Delivery: APEX Runner returns a clean JSON payload detailing squeeze status, band positioning, and breakout probability.
bb-analysis Setup
Configure your environment with your EVM private key to use this capability. Make sure you have USDC on Base mainnet to handle automated micro-payments.
export EVM_PRIVATE_KEY="your_evm_private_key_here"
Install the python client library to run standard calls:
pip install x402
Run the Python integration script:
import os
from x402.client import x402_get
# Call the bb-analysis endpoint automatically authorized via your EVM wallet
response = x402_get(
url="https://apexrunner.ai/signals/bb-analysis",
private_key=os.environ["EVM_PRIVATE_KEY"]
)
print(response.json())
bb-analysis Data Schema & Taxonomy
Response JSON Payload Structure
The bb-analysis endpoint returns a structured, lightweight JSON object with the following schema:
| Parameter | Type | Description |
|---|---|---|
squeeze |
Boolean | Indicates if a volatility squeeze is currently active (true/false). |
position |
String | Position of current price relative to the bands (e.g., "mid-band", "upper-band"). |
breakout_probability |
Float | Calculated probability score of an imminent breakout (ranging from 0.00 to 1.00). |
Sample Response
{
"squeeze": false,
"position": "mid-band",
"breakout_probability": 0.38
}
bb-analysis Advanced Features
- x402 Protocol Integration: Zero-subscription, automated payment flow triggered natively through Base mainnet USDC via the Openclaw Skills setup.
- Tiered Volume Pricing: Automatic discount calculation based on historical wallet call activity (from 15% up to 30% discount tiers).
- Live Execution Origins: Signal generation compiled from real-world exchange execution logs instead of synthetic theoretical calculations.
- Multi-Signal Orchestration: Fully compatible with sister endpoints such as
mean-reversion-scanandvolume-analysisfor advanced multi-agent correlation analyses.
SKILL.md
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