ito-markets — Python SDK for Ito Markets
Thin, typed Python wrapper for the Ito Markets public API. Access prediction market baskets, individual market data, historical orderbook snapshots, and run backtests — all with a single pip install.
Install
pip install ito-markets
# or with pandas support:
pip install ito-markets[pandas]
Quick Start
from ito import ItoClient
client = ItoClient("ito_...") # your API key from Settings
# List all baskets
baskets = client.baskets.list()
for b in baskets["data"]:
print(f"{b['basket_id']}: ${b['stats']['current_price']:.2f}")
# Get a single market
market = client.markets.get("will-btc-reach-100k")
print(market["data"]["title"], market["data"]["last_price"])
# Price history
history = client.markets.history("will-btc-reach-100k", days=90)
for point in history["data"]["series"]:
print(point["date"], point["close_price"])
# Bulk prices for multiple markets
prices = client.data.prices(["market-a", "market-b", "market-c"], days=30)
# Historical L2 orderbook
book = client.data.orderbook(
venue="polymarket",
market="will-btc-reach-100k",
start="2026-06-01T00:00:00Z",
end="2026-06-01T01:00:00Z",
limit=5000,
)
# Run a backtest on a thematic basket
result = client.backtests.run(
strategy_id="crypto_updown_roll_timing",
dataset_id="clickhouse:ito_hot.platform_orderbook_l2",
venues=["polymarket"],
date_range={"start": "2026-05-01T00:00:00Z", "end": "2026-06-01T00:00:00Z"},
basket_id="middle-east-conflict", # only markets in this basket
params={"roll_trigger": "liquidity_spread_score"},
)
print(f"P&L: ${result['data']['metrics']['pnl_usd']:.2f}")
API Key
- Go to institutional.itomarkets.com
- Sign up / log in
- Go to Settings -> generate an API key
- Use the key (starts with
ito_) in the client constructor
Available Endpoints
Baskets (9 endpoints)
| Method | Description |
|---|---|
client.baskets.list() |
All baskets with current prices |
client.baskets.get(id) |
Single basket details |
client.baskets.price(id) |
Current price + underlyer snapshot |
client.baskets.history(id) |
Price time series |
client.baskets.chart(id) |
OHLC chart data |
client.baskets.metrics(id) |
Returns, volatility |
client.baskets.underlyers(id) |
Component markets |
client.baskets.overrides() |
Manual overrides |
client.baskets.volume_daily() |
Daily traded volume |
Markets (3 endpoints)
| Method | Description |
|---|---|
client.markets.search() |
Filtered listing by volume |
client.markets.get(id) |
Single market detail |
client.markets.history(id) |
Daily price series |
Research Data (2 endpoints)
| Method | Description |
|---|---|
client.data.orderbook(venue, market) |
Historical L2 snapshots |
client.data.prices(market_ids) |
Bulk daily close prices |
Backtesting (9 endpoints)
| Method | Description |
|---|---|
client.backtests.strategies() |
Available strategies |
client.backtests.create_strategy(...) |
Create custom strategy |
client.backtests.custom_strategies() |
List custom strategies |
client.backtests.datasets() |
Available datasets |
client.backtests.execution_models() |
Fill models |
client.backtests.validate(...) |
Dry-run validation |
client.backtests.plan(...) |
Multi-window experiment |
client.backtests.submit(...) |
Submit for execution |
client.backtests.run(...) |
Submit + poll to completion |
Features
- Typed: Full type hints for IDE autocompletion
- Retries: Automatic retry with exponential backoff on 429/5xx
- Errors: Typed exceptions (
ItoAuthError,ItoRateLimitError, etc.) - Context manager:
with ItoClient(...) as client:for clean resource management - Lightweight: Only dependency is
httpx
Development
git clone https://github.com/Ito-Markets/ito-python.git
cd ito-python
pip install -e ".[dev]"
pytest
License
MIT
Release files for ito-markets 0.1.0
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| ito_markets-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.7 kB
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