DeepSeek Trader for Openclaw

A sophisticated cryptocurrency analysis tool that fuses traditional technical indicators with DeepSeek AI reasoning to generate high-confidence trading signals.

sa9saq
v1.1.0
Feb 8, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install deepseek-trader

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install deepseek-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 DeepSeek Trader?

DeepSeek Trader is a technical analysis powerhouse within the ecosystem of Openclaw Skills, designed to bridge the gap between quantitative data and qualitative AI reasoning. It retrieves real-time price data and calculates essential metrics like RSI, MACD, and Bollinger Bands, then passes this context to the DeepSeek LLM for a final interpreted signal. This approach provides traders with a 'second opinion' that considers both mathematical trends and logical market sentiment.

As part of the broader Openclaw Skills collection, this tool is built for developers who need actionable financial intelligence without the noise of manual charting. It automates the heavy lifting of data collection and indicator calculation, presenting the user with a structured report that includes a clear action (Buy, Sell, or Hold) along with a confidence percentage and risk assessment.

DeepSeek Trader Use Cases

  • Automating daily market scans for multiple cryptocurrencies to identify potential entry points.
  • Validating manual trading strategies by cross-referencing technical indicators with AI-driven logic.
  • Building automated notification systems that trigger alerts based on high-confidence AI signals.
  • Generating structured market reports for developer-focused trading dashboards using Openclaw Skills integrations.

How DeepSeek Trader Works

  1. The skill fetches the latest cryptocurrency price and historical data via the CoinGecko API.
  2. It locally calculates four key technical indicators: RSI, MACD, SMA (20/50), and Bollinger Bands.
  3. The calculated values are structured into a technical context and transmitted to the DeepSeek API.
  4. DeepSeek AI analyzes the technical data to determine market sentiment and potential trend reversals.
  5. The final output is rendered in the CLI, providing a signal, confidence score, and specific action advice.

DeepSeek Trader Setup

To deploy this tool among your other Openclaw Skills, follow these installation steps:

  1. Enter the skill directory:
cd {skill_dir}
  1. Install the required Node.js dependencies and build the distribution files:
npm install && npm run build
  1. Set your API key in the environment to ensure secure communication:
export DEEPSEEK_API_KEY=your_key
  1. Run a sample analysis to verify the setup:
node dist/cli.js analyze --coin bitcoin

DeepSeek Trader Data Schema & Taxonomy

The skill produces a structured data output that can be easily parsed or read. The taxonomy includes:

Field Type Description
Technical Indicators Table Raw values and status (Bullish/Bearish/Neutral) for RSI, MACD, SMA, and Bollinger.
AI Signal String The core recommendation: BUY, SELL, or HOLD.
Confidence Percentage The AI's certainty level in its own reasoning.
Risk Level String Qualitative risk assessment (e.g., Medium, High).
Action Advice String Specific trade execution advice based on indicator thresholds.

DeepSeek Trader Advanced Features

  • Multi-coin processing: Analyze a list of assets (e.g., BTC, ETH, SOL) in a single execution flow.
  • Graceful Fallback: Automatically reverts to raw technical analysis if the DeepSeek API is unavailable, ensuring high availability within Openclaw Skills workflows.
  • Rate Limit Handling: Includes caching mechanisms for CoinGecko data to prevent API throttling during frequent requests.
  • Security-First Architecture: Designed to use environment variables instead of command-line arguments to keep sensitive API keys out of process logs.

SKILL.md


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