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RileyCraig14

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AutoGen tool: real-time prediction market odds for trading agents [27731]

#python #autogen #ai #finance

AutoGen Tool: Real-Time Prediction Market Odds for Trading Agents

Prediction markets offer ground truth for event probabilities. Now, trading agents can access live odds through AutoGen's tool integration.

The Problem

Traditional APIs return historical data. Prediction markets like Kalshi reflect current consensus—real money backing every probability. For autonomous trading agents, this edge matters.

The Solution 

import requests
r = requests.get('https://nexus-agent-xa12.onrender.com/v1/signals?symbol=FED')
d = r.json()
print(f"Fed cut probability: {d['kalshi_pct']}%")
print(f"Signal: {d['signal']} confidence {d['confidence']}%")
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Integrate market odds into AutoGen agents with a registered tool function:

def get_market_odds(symbol: str) -> dict:
    """Fetch real-time prediction market probabilities"""
    r = requests.get(f'https://nexus-agent-xa12.onrender.com/v1/signals?symbol={symbol}')
    return r.json()

agent.register_for_llm(get_market_odds)
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Supported Symbols

Query BTC, ETH, SOL, FED, CPI, or GDP for current market consensus.

Advanced: Arbitrage Detection

For sophisticated strategies, check cross-exchange mispricing:

POST https://nexus-agent-xa12.onrender.com/arb/check
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This identifies $0.01+ opportunities across venues (Base network, $0.01 gas).

Why This Matters

Agents equipped with market-derived probabilities outperform sentiment analysis alone. Real money signals > predicted signals.

RapidAPI PRO $9.99/mo: https://rapidapi.com/RileyCraig14/api/nexus-ai-intelligence

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