ai-news-bnb-trader
TypeScript (Node.js 20+) AI news-driven BNB strategy trading bot for BSC. Use when user wants event/news sentiment signals, strict risk controls, and automated WBNB<->stablecoin swaps with dry-run safety, panic mode, status, and approval revoke tooling.
Why use this skill?
Automate your BSC trading strategy using real-time news sentiment, strict risk controls, and automated WBNB swaps. Build a safer, event-driven trading experience.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/happyrstudent/ai-news-bnb-traderWhat This Skill Does
The ai-news-bnb-trader is a sophisticated event-driven trading bot designed specifically for the Binance Smart Chain (BSC). It bridges the gap between real-time news sentiment and automated on-chain execution. By ingesting news feeds via REST APIs or WebSockets, the agent calculates a weighted sentiment score based on news impact and keyword analysis. When this score exceeds user-defined thresholds, the agent interacts with DEX liquidity pools to swap WBNB with supported stablecoins. The system is built with a "safety-first" architecture, including mandatory dry-run defaults, strict risk gates, and an emergency panic button to halt all operations instantly. It is an ideal tool for users who want to implement news-based algorithmic trading without manually monitoring the market 24/7.
Installation
To install this skill, use the OpenClaw CLI tool within your terminal:
clawhub install openclaw/skills/skills/happyrstudent/ai-news-bnb-trader
Ensure you have Node.js 20+ installed. Before running, configure your environment variables including PRIVATE_RPC_URL, NEWS_API_URL, and optionally OPENAI_API_KEY for advanced signal modeling. Always start by running the bot in dry-run mode to verify your strategy configuration before connecting your production wallet.
Use Cases
- News Sentiment Hedging: Automatically sell WBNB positions when negative news sentiment trends regarding market stability hit major outlets.
- Event-Driven Accumulation: Use the bot to accumulate WBNB during positive market sentiment spikes, leveraging the
OpenAISignalModelfor complex narrative interpretation. - Automated Risk Management: Set strict daily loss caps and slippage limits to ensure that even during highly volatile news events, your portfolio remains protected by programmatic safeguards.
Example Prompts
- "OpenClaw, initiate the ai-news-bnb-trader with a buy threshold of 0.8 and run a dry-run test on the current news feed."
- "Trigger panic mode for the news-bnb-trader immediately; stop all active trades and revoke current token approvals."
- "Check the status of my news-driven trading bot and report the last three executed trades and their current PnL."
Tips & Limitations
Always prioritize using a private RPC provider to avoid public mempool front-running. While the OpenAISignalModel provides powerful sentiment analysis, it introduces latency; for high-frequency news events, the RuleSignalModel is faster and more reliable. Never share your private keys or seeds. The bot is designed for WBNB/stablecoin pairs; ensure your liquidity pool addresses are strictly whitelisted to prevent interaction with malicious contracts. Regular monitoring of the status command is recommended to verify that risk gates are functioning correctly.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-happyrstudent-ai-news-bnb-trader": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-read, file-write, external-api, code-execution