Build a Trading Bot

Build a bot that trades BTC 15-minute prediction markets on Turbine using Claude Code. This guide covers wallet setup, funding, bot generation via the /market-maker skill, and cloud deployment.

BTC Quick Markets ask "Will BTC be above $X in 15 minutes?" — a new market rotates in every 15 minutes. Your bot detects each transition and moves to the new market automatically.

Prerequisites

  • Python 3.9+ and pip
  • Git
  • Claude Code CLI — install with npm install -g @anthropic-ai/claude-code
  • A terminal (macOS, Linux, or WSL)

Create a Wallet

Your bot signs orders with a raw private key. Use a dedicated wallet — not your main wallet.

Export from MetaMask

  1. Open MetaMask and select the account you want to use
  2. Click the three dots next to the account name
  3. Go to Account Details > Show Private Key
  4. Enter your password and copy the hex string (starts with 0x)

Generate a New Wallet

Using Python:

from eth_account import Account
acct = Account.create()
print(f"Address: {acct.address}")
print(f"Private Key: {acct.key.hex()}")

Or using Foundry's cast:

cast wallet new

Save the private key. You will need it when the /market-maker skill prompts you.

**⚠️ Security:** Never share your private key or commit it to version control. Use a wallet with only the funds you intend to trade.

Fund Your Wallet with USDC

Your bot needs USDC on Polygon (chain ID 137) to place orders. $10 is enough to start.

No MATIC is required. All Turbine operations — USDC approval, order signing, position claiming — are gasless.

Bridge from Another Chain

If you already hold USDC on Ethereum, Arbitrum, or another chain, use a bridge service to transfer to Polygon.

Buy and Withdraw from an Exchange

  1. Purchase USDC on Coinbase, Binance, Kraken, or any exchange that supports Polygon withdrawals
  2. Withdraw USDC to your wallet address on the Polygon network (chain ID 137)

Verify

USDC contract on Polygon: 0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359

Check your balance on Polygonscan or in MetaMask after adding the Polygon network:

SettingValue
Network NamePolygon
RPC URLhttps://polygon-rpc.com
Chain ID137
Currency SymbolMATIC
Block Explorerhttps://polygonscan.com

One-Line Install

Run a single command to clone the SDK, install dependencies, create a .env template, and launch Claude Code with the bot generator:

curl -sSL turbinefi.com/claude | bash

This executes scripts/create-bot.sh, which does the following:

Clone the SDK

git clone https://github.com/ojo-network/turbine-py-client.git turbine-bot
cd turbine-bot

Install dependencies

Runs pip install -e . to install the SDK and its dependencies (eth-account, httpx, web3, pynacl, etc.).

Create environment template & launch generator

cp .env.example .env
claude "/market-maker"

The /market-maker Skill Flow

The skill walks through four steps interactively.

Private Key

Claude asks for your Ethereum private key and writes it to .env:

TURBINE_PRIVATE_KEY=0xYourPrivateKeyHere

If .env already contains a key, this step is skipped.

API Credentials

API credentials are not configured during the skill — they are registered automatically when the bot runs for the first time. The SDK calls TurbineClient.request_api_credentials(), which signs a message with your wallet to prove ownership and receives Ed25519 API keys. These are saved to .env so subsequent runs reuse them:

TURBINE_API_KEY_ID=abc123...
TURBINE_API_PRIVATE_KEY=base64encodedkey...

Algorithm Selection

Claude presents six algorithm choices:

AlgorithmDescriptionRisk
Price ActionFetches live BTC price from Pyth Network and compares to the market strike price. BTC above strike = buy YES, below = buy NO. Confidence scales with distance.Medium
Simple SpreadPlaces symmetric bid/ask orders around the current mid-price with a fixed spread.Medium
Inventory-AwareLike Simple Spread, but skews quotes to reduce accumulated position.Lower
MomentumDetects price direction from recent trades. Buys with the trend.Higher
Mean ReversionFades large price moves, betting on reversion to the mean.Higher
Probability-WeightedBets that prices far from 500000 ($0.50) will revert toward 50%.Medium
**Recommended:** Price Action is recommended for BTC Quick Markets. It uses the Pyth Network oracle — the same data source Turbine uses to resolve markets — so the bot's signal is directly aligned with the resolution mechanism.

Bot Generation

Claude generates a complete Python file (e.g., price_action_bot.py) based on your algorithm choice. The generated code follows the structure of examples/price_action_bot.py, the SDK's reference implementation.

What the Bot Does

The generated bot handles the full trading lifecycle:

Startup

  • Loads TURBINE_PRIVATE_KEY from .env
  • Checks for existing API credentials in .env — if missing, calls TurbineClient.request_api_credentials() to register and saves them automatically
  • Initializes TurbineClient with host="https://api.turbinefi.com" and chain_id=137

First trade on a new market

  • Signs a gasless EIP-2612 max USDC permit for the settlement contract (approve_usdc_for_settlement()). This is a one-time operation per settlement contract.

Each cycle (every ~10 seconds)

  • Fetches the active BTC Quick Market via get_quick_market("BTC")
  • Fetches the current BTC price from Pyth Network
  • Runs the algorithm's signal logic
  • Places a limit order if the signal has sufficient confidence
  • Tracks positions in USDC terms and respects --max-position

Market transitions

  • Detects when the current market is expiring and switches to the new market

Background tasks

  • Claims winnings from resolved markets via claim_winnings() (gasless, relayer-submitted)
  • Syncs positions from the API periodically

Shutdown (Ctrl+C)

  • Cancels all open orders and exits cleanly

Run Your Bot

Set the chain and host, then run the generated bot file:

CHAIN_ID=137 TURBINE_HOST=https://api.turbinefi.com python price_action_bot.py

Or use the reference implementation directly:

CHAIN_ID=137 TURBINE_HOST=https://api.turbinefi.com python examples/price_action_bot.py \
  --order-size 1 \
  --max-position 10

Parameters

ParameterDescriptionDefault
--order-sizeUSDC amount per order1.0
--max-positionMaximum USDC exposure per market10.0

Environment Variables

VariableDescriptionRequired
TURBINE_PRIVATE_KEYWallet private key (hex, 0x-prefixed)Yes
TURBINE_API_KEY_IDEd25519 API key ID (auto-registered on first run)No
TURBINE_API_PRIVATE_KEYEd25519 API private key (auto-registered on first run)No
CHAIN_IDBlockchain chain IDYes (137 for Polygon)
TURBINE_HOSTAPI server URLYes (https://api.turbinefi.com)
CLAIM_ONLY_MODESet to true to disable trading and only claim winningsNo

Expected Output

Registering new API credentials...
API credentials registered and saved to .env
Starting Price Action Bot...
  Chain: Polygon (137)
  Order size: $1.00 USDC
  Max position: $10.00 USDC
Approving USDC for settlement (gasless)...
USDC approved via gasless max permit
Fetched BTC Quick Market: Will BTC be above $97,432.15 in 15 minutes?
  Market ID: 0xabc123...
  Expires in: 12m 30s
BTC Price: $97,489.22 (above strike by 0.06%)
  Signal: BUY YES (confidence: 0.58)
  Placed order: BUY 1.72 YES @ 580000 ($0.58)
Market transition detected — switching to new market...
Claimed winnings from resolved market: +$1.72 USDC

Press Ctrl+C to stop. The bot cancels all open orders before exiting.

Deploy on Railway

Railway runs your bot 24/7 in the cloud. The free tier includes $5 credit for 30 days.

Using the /railway-deploy Skill

From your bot directory:

claude "/railway-deploy"

The skill checks for the Railway CLI and installs it if missing, identifies your bot file, generates deployment files, authenticates, pushes environment variables, and deploys.

Manual Deployment

# Install Railway CLI
npm i -g @railway/cli

# Authenticate
railway login

# Create a new project
railway init

# Push environment variables
railway variables set TURBINE_PRIVATE_KEY=0x...
railway variables set TURBINE_API_KEY_ID=your_key_id
railway variables set TURBINE_API_PRIVATE_KEY=your_api_key
railway variables set CHAIN_ID=137
railway variables set TURBINE_HOST=https://api.turbinefi.com

# Deploy
railway up --detach

Monitoring

# Stream logs
railway logs

# Check deployment status
railway status