unifai-trading-suite – OpenClaw Skill

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name: unifai-trading-suite description: "AI-powered trading insights suite: prediction markets (Polymarket/Kalshi) and social sentiment signals powered by UnifAI." version: 1.0.0 homepage: https://github.com/zbruceli/trading user-invocable: true metadata: {"moltbot":{"emoji":"📈","requires":{"env":["UNIFAI_API_KEY","GOOGLE_API_KEY"]},"primaryEnv":"UNIFAI_API_KEY"}}

UnifAI Trading Suite

A comprehensive suite for AI-driven trading analysis, aggregating prediction markets and social signals.

🛠️ Included Tools

1. Prediction Trader

Compare probabilities across Polymarket and Kalshi.

python3 {baseDir}/skills/prediction-trader/scripts/trader.py analyze "bitcoin"

2. Kalshi Trader

Regulated US economic indicators (Fed Rates, CPI).

python3 {baseDir}/skills/kalshi-trader/scripts/kalshi.py fed

3. Social Signals

Analyze KOL mentions and sentiment via UnifAI.

python3 {baseDir}/skills/social-signals/scripts/signals.py trending

🔐 Setup

Requires UNIFAI_API_KEY (from unifAI) and GOOGLE_API_KEY (for analysis).

🚀 Installation

clawdhub install unifai-trading-suite

AI Trader for Prediction Markets

An AI-powered trading agent for prediction markets that leverages LLMs to create and execute trading strategies based on social network signals and on-chain analysis.

Features

• Multi-Platform Support: Trade on Polymarket and Kalshi prediction markets
• Social Signal Analysis: Track KOL mentions, sentiment, and trending tokens
• LLM-Powered Strategies: Uses Google Gemini 3.0 Flash for intelligent analysis
• UnifAI Integration: Dynamic tool discovery and agent-to-agent communication
• Web Interface: Simple chat-based frontend for trading queries
• Moltbot Skills: Packaged as reusable skills for AI agents

Quick Start

Prerequisites

• Python 3.10+
• UnifAI API key (for social signals and Polymarket)
• Google API key (for Gemini LLM)

Installation

# Clone the repository
git clone https://github.com/zbruceli/trading.git
cd trading

# Create virtual environment
python -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Environment Variables

export UNIFAI_AGENT_API_KEY="your-unifai-key"
export GOOGLE_API_KEY="your-google-key"
export LLM_MODEL="gemini/gemini-3-flash-preview"

Running

# Run the trading agent demo
python -m src.agents.trading_agent --demo

# Interactive mode
python -m src.agents.trading_agent

# Start web interface
uvicorn src.api.server:app --port 8080

Usage

Trading Agent

from src.agents import TradingAgent

agent = TradingAgent()

# Analyze a token with price + social + news signals
analysis = await agent.analyze_token("SOL")

# Get trending tokens from KOL discussions
trending = await agent.get_trending_signals()

# Natural language queries
response = await agent.chat("Get ETH price and recent news")

Kalshi Markets

from src.markets import KalshiClient

client = KalshiClient()

# Get Fed interest rate markets
fed_markets = await client.get_fed_markets(limit=10)

# Search markets
results = await client.search_markets("bitcoin", limit=5)

Social Signals

from src.signals import SocialSignalProcessor

processor = SocialSignalProcessor()

# Get token sentiment
sentiment = await processor.get_token_sentiment("ETH")

# Get trending tokens from KOLs
trending = await processor.get_trending_tokens(time_window="24h")

Prediction Market Integrations

Platform	Integration	Market Types
Polymarket	UnifAI SDK	Crypto, politics, sports
Kalshi	Direct API	Economics, politics, events

Project Structure

trading/
├── src/
│   ├── agents/        # Trading agents
│   ├── api/           # Web API & frontend
│   ├── markets/       # Market clients (Kalshi, Polymarket)
│   ├── signals/       # Social signal processors
│   └── strategies/    # Trading strategies
├── skills/            # Moltbot skill definitions
└── tests/

Moltbot Skills

Pre-packaged skills for AI agent platforms:

• prediction-trader - Cross-platform trading assistant
• kalshi-trader - Kalshi market queries
• polymarket-trader - Polymarket integration
• social-signals - Social signal analysis

See CLAUDE.md for detailed skill documentation.

Technology Stack

• LLM: Google Gemini 3.0 Flash (via LiteLLM)
• Agent Framework: UnifAI SDK
• Skills Platform: Moltbot (AgentSkills-compatible)
• Language: Python 3.10+

License

MIT

References

• UnifAI SDK
• LiteLLM
• Kalshi API
• Polymarket