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Crancer Dev — Polymarket Specialist
Crancer Dev — Polymarket Specialist

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Creating a Polymarket Trading Bot: A Technical Guide

#tradingbot #polymarket #cryptocurrency #automation

How I Built a Polymarket Trading Bot – Live Build & Insights (Inspired by AdelanX's Session)

Polymarket has exploded as one of the most exciting prediction market platforms, blending crypto, real-world events, and high-stakes trading. Building an automated trading bot for it opens up opportunities for consistent execution, especially on its Central Limit Order Book (CLOB) for events like elections, crypto prices, sports, and more.

I recently watched AdelanX's live recording where he demonstrates building and running a Polymarket trading bot in real time on his account. Here's a structured dev.to-style breakdown and tutorial inspired by that approach—perfect for developers and traders getting started.

Why Build a Polymarket Bot?

  • Speed & Discipline: Bots react instantly to order book changes without emotion.
  • 24/7 Operation: Markets run continuously; automation never sleeps.
  • Strategy Scaling: Test signals on BTC Up/Down, election outcomes, or custom events.
  • Copy-Trading Potential: Mirror successful wallets or run your own alpha.

Disclaimer: Trading involves risk. Start with paper trading or small amounts. This is educational—always DYOR and manage risk.

Core Architecture (Modular & Production-Ready)

A solid bot typically includes:

  1. Data Layer — Fetch markets, order books, prices via REST/WebSocket.
  2. Signal/Strategy Layer — Your logic (e.g., probability models, momentum, arbitrage).
  3. Execution Layer — Place/cancel orders on CLOB with proper signing.
  4. Risk Management — Position sizing, stop-losses, daily caps, slippage controls.
  5. Monitoring — Logging, alerts, PnL tracking.

Tech Stack Recommendations

  • Language: Python (easiest for beginners) with py-clob-client.
  • Wallet: Polygon (for USDC/pUSD), MetaMask or similar.
  • Libraries: py-clob-client, web3, python-dotenv, requests (for Gamma API metadata).
  • Hosting: VPS for live runs (low latency to Polymarket endpoints).

Step-by-Step Setup (Python Example)

1. Prerequisites

  • Python 3.9+
  • Funded Polygon wallet with USDC (wrap to pUSD via Polymarket)
  • API credentials from Polymarket developer settings 
pip install py-clob-client web3 python-dotenv
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2. Environment (.env)

PRIVATE_KEY=your_wallet_private_key
API_KEY=your_polymarket_api_key
API_SECRET=your_secret
API_PASSPHRASE=your_passphrase
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3. Initialize Client & Basic Connection

import os
from dotenv import load_dotenv
from py_clob_client.client import ClobClient
from py_clob_client.clob_types import OrderArgs

load_dotenv()

HOST = "https://clob.polymarket.com"
CHAIN_ID = 137  # Polygon

client = ClobClient(
    host=HOST,
    key=os.getenv("PRIVATE_KEY"),
    chain_id=CHAIN_ID,
    # Add creds for authenticated requests
)

# Test: Get markets
markets = client.get_markets()
print(markets)
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4. Fetch Order Book & Simple Signal

def get_order_book(token_id):
    return client.get_order_book(token_id)

# Example directional signal (e.g., BTC 15m)
def generate_signal(order_book, current_price):
    # Your logic here: compare model probability vs market price
    if current_price < 0.45:  # Example threshold
        return "BUY_YES"
    return None
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5. Placing Orders

def place_order(token_id, side, size, price):
    order_args = OrderArgs(
        token_id=token_id,
        price=price,
        size=size,
        side=side,  # BUY or SELL
    )
    order = client.create_order(order_args)
    # Submit signed order
    response = client.post_order(order)
    return response
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6. Risk & Loop

  • Add checks: max exposure, slippage tolerance, kill switch.
  • Run in a loop with scheduling (e.g., APScheduler) or WebSocket listener for real-time fills.

Full examples and advanced patterns (copy-trading, arbitrage, ML signals) appear in open repos and guides—AdelanX's live session shows real-account execution flow.

Key Lessons from the Live Build

  • Wallet & Funding: Proper setup on Polygon is crucial to avoid gas/collateral issues.
  • Testing: Paper trade extensively before going live.
  • Community/Support: AdelanX offers strategy help via Telegram—great for devs/traders iterating.
  • Live Recording Value: Watching the screen share reveals practical debugging, order flow, and real-time decisions you won't get from static docs.

Next Steps & Resources

If you're building one, share your stack/strategy in the comments! Let's discuss improvements, edge cases, or specific markets.

What markets are you targeting? BTC, politics, or something niche? Drop your thoughts below. 🚀

This post is inspired by public content and aims to help the dev community. Always trade responsibly.

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