hummingbot_skill

This skill provides comprehensive guidance for hummingbot development, features, APIs, and debugging to accelerate building automated crypto trading bots.
  • Python

10.3k

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

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npx veilstrat add skill 2025emma/vibe-coding-cn --skill hummingbot

  • SKILL.md3.9 KB

Overview

This skill provides practical guidance for developing, configuring, and troubleshooting Hummingbot-based trading bots. It focuses on automated trading strategies, market making, arbitrage, and exchange connector usage. It is designed to speed up implementation and debugging with common code patterns and actionable examples.

How this skill works

The skill inspects Hummingbot concepts, API patterns, and typical commands to produce clear code snippets and usage guidance. It surfaces common factory calls, market data queries, CLI examples, and connector interactions. It helps interpret errors, suggest fixes, and map development tasks to the appropriate Hummingbot components and configuration options.

When to use it

  • Implement or customize automated trading strategies (market making, arbitrage, cross-exchange).
  • Integrate or troubleshoot exchange connectors and gateway commands.
  • Retrieve market data, order book snapshots, or price calculations programmatically.
  • Configure Hummingbot instances, strategy parameters, or CLI workflows.
  • Learn Hummingbot development workflows, testing, and deployment best practices.

Best practices

  • Start with the getting_started guides and example configs to validate basic flows before customizing strategies.
  • Use market data provider helpers (get_price_by_type, get_price_by_volume) to build robust pricing logic instead of raw ticks.
  • Keep connector credentials and secrets out of committed configs; use environment variables or secure stores.
  • Test strategies in dry-run or simulation mode and use small position sizes when moving to live trading.
  • Log and capture order book snapshots and execution traces to diagnose slippage and latency issues.

Example use cases

  • Create a simple PMM (proportional market maker) strategy and run via the quickstart CLI with a predefined config file.
  • Query mid-market price and volume-based price estimates to size limit orders programmatically.
  • Implement a gateway swap flow for a new connector and validate arguments with the gateway CLI help output.
  • Capture candles or order book snapshots for backtesting a custom arbitrage strategy.
  • Debug connector authentication or rate-limit issues using connector-specific logs and troubleshooting guidance.

FAQ

Start with the connectors documentation and connector-specific logs; confirm API keys, rate limits, and network connectivity, then reproduce with the gateway CLI or a minimal script.

How do I validate a strategy before going live?

Run the strategy in simulation or dry-run mode, backtest against historical candles or order book snapshots, and use small capital on testnet or a low-risk market before scaling to production.

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hummingbot skill by 2025emma/vibe-coding-cn | VeilStrat