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How to use API to build a Polymarket Trading Bot in Python

Building a Polymarket trading bot using Python allows you to automate prediction market strategies, analyze real-time probabilities, and execute trades programmatically through Polymarket’s APIs.

This guide explains how to use the Polymarket CLOB API, Gamma API, and the official Python SDK (py-clob-client) to build a working trading bot from scratch.

How to use API to build a Polymarket Trading Bot in Python


πŸ“Œ Polymarket API Overview

Polymarket provides three core APIs:

1. CLOB API (Trading Engine)

  • Handles order placement and execution
  • Manages order books and trade matching
  • Requires authentication

Base URL:

https://clob.polymarket.com
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2. Gamma API (Market Data)

  • Market discovery (events, questions, categories)
  • Token and condition metadata
  • No authentication required

Base URL:

https://gamma-api.polymarket.com
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3. Data API (Analytics)

  • Historical trades and positions
  • Volume, open interest, user activity

Base URL:

https://data-api.polymarket.com
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πŸ“˜ Official Docs:
https://docs.polymarket.com/api-reference/introduction ([Polymarket Documentation][1])


βš™οΈ Prerequisites

Before building your bot, you need:

  • Python 3.9+
  • A Polymarket account
  • A Polygon wallet (private key required)
  • USDC on Polygon for trading
  • Basic understanding of REST APIs

Install the official SDK:

pip install py-clob-client
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polymarket-api-example-screenshot


πŸ” Step 1: Initialize the Polymarket Client

from py_clob_client.client import ClobClient

API_URL = "https://clob.polymarket.com"

client = ClobClient(
    host=API_URL,
    key="YOUR_WALLET_PRIVATE_KEY",
    chain_id=137  # Polygon Mainnet
)
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πŸ“Š Step 2: Fetch Market Data (Gamma API)

Use Gamma API to discover markets:

import requests

url = "https://gamma-api.polymarket.com/markets"

response = requests.get(url)
markets = response.json()

for m in markets[:5]:
    print(m["question"], m["id"])
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πŸ‘‰ This gives you active prediction markets you can trade.


πŸ“ˆ Step 3: Get Order Book Data (CLOB API)

market_id = "123456"

orderbook = client.get_order_book(market_id)

print("Best Bid:", orderbook["bids"][0])
print("Best Ask:", orderbook["asks"][0])
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πŸ’° Step 4: Place a Trade

Place a BUY order

from py_clob_client.clob_types import OrderArgs
from py_clob_client.order_builder.constants import BUY

order = OrderArgs(
    token_id="TOKEN_ID_HERE",
    side=BUY,
    price=0.52,
    size=10
)

result = client.create_order(order)
print(result)
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🧠 Step 5: Example Trading Strategy (Simple Bot Logic)

A basic momentum strategy:

import time

THRESHOLD = 0.55

while True:
    orderbook = client.get_order_book(market_id)

    best_ask = float(orderbook["asks"][0]["price"])

    if best_ask < THRESHOLD:
        print("Buying opportunity detected")

        order = OrderArgs(
            token_id="TOKEN_ID",
            side=BUY,
            price=best_ask,
            size=5
        )

        client.create_order(order)

    time.sleep(10)
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⚠️ Important Notes

  • Polymarket uses EIP-712 signed transactions
  • Token IDs differ from Gamma β€œcondition IDs”
  • Rate limits apply (~100 requests / 10 seconds for reads)
  • Always implement retry logic for production bots

πŸ§ͺ Production-Ready Improvements

To make your bot production-ready, consider adding:

βœ” Error Handling

try:
    client.create_order(order)
except Exception as e:
    print("Order failed:", e)
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βœ” Retry Logic

  • Handle HTTP 429 rate limits
  • Exponential backoff strategy

βœ” Logging System

  • Track orders
  • Store fills in a database (PostgreSQL / MongoDB)

βœ” Strategy Layer

  • Arbitrage detection
  • Sentiment analysis (Twitter / news APIs)
  • Market-making logic

πŸ”— Official Documentation


❓ FAQ

1. What is a Polymarket trading bot?

A bot that automatically places trades on prediction markets using Polymarket APIs based on predefined strategies.


2. Is Polymarket API free to use?

Yes, market data APIs are free. Trading requires a funded wallet with USDC on Polygon.


3. Do I need crypto to use the bot?

Yes. You need USDC on the Polygon network to execute trades.


4. What is the hardest part of building a bot?

The most common challenge is mapping:

Gamma condition_id β†’ CLOB token_id

This mismatch often confuses beginners.


5. Can I run the bot 24/7?

Yes, but you should deploy it on:

  • VPS (DigitalOcean, AWS, etc.)
  • Or Docker container with restart policies

6. Is Polymarket legal to use?

It depends on your jurisdiction. Always check local regulations before trading.


πŸš€ Conclusion

Building a Polymarket trading bot in Python is straightforward once you understand:

  • Gamma API β†’ market discovery
  • CLOB API β†’ trading execution
  • py-clob-client β†’ SDK abstraction layer

With a proper architecture, you can scale from a simple bot to a fully automated trading system.



🀝 Collaboration & Contact

If you’re interested in building trading bots, buy trading bots, collaborating, exploring strategy improvements, or discussing about this system, feel free to reach out.

I’m especially open to connecting with:

Quant traders
Engineers building trading infrastructure
Researchers in prediction markets
Investors interested in market inefficiencies

πŸ“Œ GitHub Repository

This repo has some Polymarket several bots in this system.
You can explore the full implementation, strategy logic, and ongoing updates about 5 min crypto market here:

GitHub logo Benjamin-cup / Polymarket-trading-bot-python-V2

Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot Polymarket Trading Bot

Polymarket Trading Bot | Polymarket Arbitrage Bot

An open-source and Strong Strategy collection of Polymarket trading bot and arbitrage bot in Python for high-performance automated trading on polymarket crypto 5min markets.

Polymarket Trading Bot Dashboard

Features

  • Explosive growth of Polymarket with surging trading volume and new short-term markets

  • Increasing dominance of automated bots and AI in 5-minute crypto prediction markets

  • Higher profitability potential through advanced arbitrage and market-making strategies

  • Stronger edge for Python-based bots with real-time orderbook intelligence and low-latency execution

  • Continuous evolution of sniper, ladder, stair, momentum, and copy trading strategies

  • Scalable daily profits as prediction markets move toward hundreds of billions in annual volume

  • Full future-proof architecture for new features, contracts, and high-frequency trading environments

Included Trading Bots

Designed for arbitrage, directional strategies, and ultra-short-term markets (including 5-minute rounds), this bot framework provides a robust foundation for building and scaling automated trading strategies on Polymarket .

Demo Video

https://www.youtube.com/watch?v=Yp3gpNXF2RA

Contact

I have…




This is my trading bot public accounts.

@maksim42 on Polymarket

Check out this profile on Polymarket.

favicon polymarket.com

@dava1414 on Polymarket

Check out this profile on Polymarket.

favicon polymarket.com

πŸ’¬ Get in Touch

If you have ideas, questions, or would like to collaborate or want these trading bots, don’t hesitate to reach out directly.

Feedback on your repo (based on your description & strategy)

Contact Info

Telegram
https://t.me/BenjaminCup

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