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Build algo trading bots

Automate trading strategies on real or demo accounts. Open and close positions, manage portfolios, and access live PnL — all via REST.

Why eToro?

  • Real + Demo Trading APIs with identical endpoints — build once, deploy to either
  • WebSocket streaming for real-time price data and market events
  • Production-grade sandbox: the Demo API mirrors real behavior exactly
  • Full portfolio management: positions, orders, trade history, PnL
  • Rate limits designed for automated strategies, not just manual use

How it works

1
Your Strategy
2
eToro REST API
3
Order Execution
4
Market

Quick start example

Copy this code to get started. Uses real eToro API endpoints.

algo_strategy.py
import requests, uuid

BASE = "https://public-api.etoro.com/api/v1"
HEADERS = {
    "x-api-key": "YOUR_PUBLIC_API_KEY",
    "x-user-key": "YOUR_USER_KEY",
    "x-request-id": str(uuid.uuid4()),
}

# Search for an instrument
search = requests.get(
    f"{BASE}/market-data/search",
    headers=HEADERS,
    params={"internalSymbolFull": "TSLA"}
).json()

instrument_id = search["items"][0]["instrumentId"]

# Open a BUY position on Demo
order = requests.post(
    f"{BASE}/trading/execution/demo/market-open-orders/by-amount",
    headers=HEADERS,
    json={
        "InstrumentId": instrument_id,
        "Amount": 5000,
        "Leverage": 1,
        "IsBuy": True,
    }
).json()

print(f"Order placed: {order}")

# Check portfolio
portfolio = requests.get(
    f"{BASE}/trading/demo/portfolio",
    headers=HEADERS,
).json()

print(f"Portfolio: {portfolio}")

Relevant APIs

Trading (Real)11
Trading (Demo)10
Market Data8
WebSocket∞

Ready to start building?

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