An autonomous trading bot that combines technical indicators with LLM-powered market sentiment analysis to execute trades on the Binance spot market.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install binance-spot-trader
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 binance-spot-trader 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 Binance Spot Trader?
The Binance Spot Trader is a sophisticated automation framework designed for developers looking to integrate advanced logic into their cryptocurrency trading. By utilizing Openclaw Skills, this bot goes beyond simple price-based triggers by incorporating real-time sentiment analysis from large language models like Claude Haiku. This dual-layered approach ensures that trades are not only technically sound but also aligned with broader market context.
This skill provides a modular architecture for executing diverse strategies including momentum trading, mean reversion, and automated dollar-cost averaging. It is built with a focus on security and transparency, providing detailed logging and portfolio tracking while ensuring that sensitive API keys are handled according to best practices.
Binance Spot Trader Use Cases
- Executing technical strategies like EMA momentum or RSI-based mean reversion automatically.
- Implementing a hands-off dollar-cost averaging (DCA) strategy for long-term crypto accumulation.
- Adding an AI sentiment filter to traditional trading signals to avoid "false breakouts."
- Managing a diversified spot portfolio on Binance with automated risk controls like stop-loss and take-profit.
How Binance Spot Trader Works
- The bot initializes by loading configuration from environment variables and establishing secure connections to Binance and the LLM provider.
- It periodically fetches market data for specified trading pairs, calculating technical indicators such as EMA, RSI, and Bollinger Bands.
- Based on the selected strategy, the bot identifies potential trade entry or exit points.
- If the LLM-Enhanced feature is enabled, the bot sends market context to an AI model to verify sentiment before proceeding.
- Upon confirmation, the bot calculates the appropriate position size and executes the order via the Binance API.
- Active positions are monitored continuously to trigger exit conditions based on strategy logic or safety parameters.
Binance Spot Trader Setup
To get started with this skill, first install the environment dependencies:
bash scripts/setup.sh
Create a .env file in the root directory and populate it with your API credentials and trading parameters:
BINANCE_API_KEY=<your-api-key>
BINANCE_SECRET_KEY=<your-secret-key>
LLM_API_KEY=<anthropic-api-key>
PAIRS=BTCUSDT,ETHUSDT,SOLUSDT
STRATEGY=momentum
TRADE_SIZE_PCT=5
Run the trader script to begin autonomous operations:
python3 scripts/trader.py
Binance Spot Trader Data Schema & Taxonomy
The skill organizes its operational data and historical records using a combination of environment configuration and structured log files.
| Component | Type | Purpose |
|---|---|---|
.env |
Configuration | Stores API keys, pair lists, and strategy parameters. |
trades.jsonl |
Data Log | A JSON Lines file recording every executed trade, including price, size, and AI rationale. |
trader.log |
Execution Log | A detailed text log for monitoring bot health and real-time decision-making logic. |
references/ |
Documentation | Local markdown files detailing the API endpoints and technical indicator math used by the bot. |
Binance Spot Trader Advanced Features
- LLM-Powered Sentiment Filtering: Uses Claude Haiku to veto trade signals based on news and volume patterns.
- Multiple Strategy Support: Switch between momentum, mean reversion, and DCA modes via configuration.
- Comprehensive Risk Management: Built-in support for take-profit, stop-loss, and maximum concurrent position limits.
- CLI Monitoring Tools: Integrated scripts for checking current portfolio value and auditing trade history without leaving the terminal.
- Flexible Intervals: Support for various timeframes ranging from high-frequency checks to weekly DCA buys.
SKILL.md
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