Tribulnation SDK

PyPI Python versions License: MIT

Fully-typed, async Python SDK for crypto trading and data.

Market, Wallet, Earn, and Report are abstract interfaces implemented per exchange and chain. Code written against MarketSDK runs unchanged on dYdX, Hyperliquid, MEXC, or any other supported venue.

Installation

pip install tribulnation-sdk[dydx,hyperliquid,mexc]

See the support matrix for details on extras.

Trading Quick Start

from dotenv import load_dotenv
from tribulnation.sdk import MarketSDK, accounts

load_dotenv() # load credentials from .env file

sdk = MarketSDK({
  'mexc_account1': accounts.Mexc(api_key='$MEXC_API_KEY', api_secret='$MEXC_API_SECRET'),
  # 'dydx', 'hyperliquid', and 'mexc' are available by default, even without listing them here
})
mexc = await sdk.market('mexc_account1:spot:BTCUSDT')
dydx = await sdk.market('dydx:perp:BTC-USD')

async with mexc.trades_stream() as my_trades:
  async for my_trade in my_trades:
    print(f'Hedging {my_trade}')
    await dydx.place_order({
      'type': 'LIMIT',
      'qty': -my_trade.qty,
      'price': my_trade.price,
    })

accounts.<Venue>() reads credentials from environment variables named after each field (accounts.Mexc() reads $MEXC_API_KEY/$MEXC_API_SECRET) — pass explicit values or other $VAR names to override.

Market IDs & Scoping

<account_id>:<exchange_id>:<market_id>, e.g. mexc_account1:spot:BTCUSDT. account_id is the key you registered in accounts — not necessarily the venue's own name — so you can run several accounts on one venue side by side. Equivalent ways to reach a market:

await sdk.depth('mexc_account1:spot:BTCUSDT')

venue = await sdk.venue('mexc_account1')
await venue.depth('spot:BTCUSDT')

exchange = await venue.exchange('spot')
await exchange.depth('BTCUSDT')

market = await exchange.market('BTCUSDT')
await market.depth()

Hold a Market reference in hot loops; use the scoped one-shot calls otherwise.

Market Interface

  • Public data:
    • depth() -> Book
    • depth_stream() -> AsyncContextManager[AsyncIterable[Book]]
    • rules() -> Rules: tick/step size, fees, min/max, rounding helpers
  • User data:
    • query_order(id) -> OrderState | None
    • open_orders() -> Sequence[OrderState]
    • trades_history(start, end) -> AsyncIterable[Sequence[Trade]]
    • trades_stream() -> AsyncContextManager[AsyncIterable[Trade]]
    • position() -> Position
    • available_notional() -> Decimal: max. notional you could open now
  • Trading:
    • place_order(order) -> OrderResponse
    • place_orders(orders) -> Sequence[OrderResponse]
    • cancel_order(id)
    • cancel_orders(ids)
    • cancel_open_orders()
  • Perpetual markets:
    • index() -> Decimal
    • next_funding() -> FundingRate
    • funding_history(start, end) -> AsyncIterable[Sequence[FundingRate]]
    • funding_payments(start, end) -> AsyncIterable[Sequence[FundingPayment]]
    • perp_position() -> PerpPosition: includes entry price

Full reference: docs/market.md.

Mutating methods also take an optional settings dict for venue-specific options, keyed by venue:

await dydx.place_order({
  'type': 'LIMIT', 'qty': 0.01, 'price': 60_000,
}, settings={'dydx': {'order_flags': 'SHORT_TERM', 'short_term_gtb': 2}})

Other SDKs

Same account-mapping shape as MarketSDK:

Error Handling

All errors subclass Error: NetworkError, ValidationError, ApiError (BadRequest, AuthError, RateLimited), LogicError.

Context, Logging & Retries

SDK calls are plain by default — no logging, no retries. Wrap them in a Context to add both:

from tribulnation.sdk import Context, NetworkError, RateLimited

ctx = Context().retried(NetworkError, RateLimited, max_retries=5).logged()
with ctx.use():
  await sdk.place_order('mexc_account1:spot:BTCUSDT', {'type': 'LIMIT', 'qty': 0.01, 'price': 60_000})

Retries back off exponentially and only wrap plain async calls, not streams or paginated history. Nested SDK calls each re-apply the active context, so retries can compound across scoping layers. Details: docs/context.md.

License

MIT

Project links

Key dates

PyPI data
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  • Released:
Newer release available (1.7.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for m4rs from gravatar.com m4rs

Credits

Author: Marcel Claramunt

License

MIT License (MIT License)

Requires

Python >=3.10

Provides Extra

mexc dydx hyperliquid binance bitget bit2me ethereum kraken bybit bingx

Classifiers

Report project as malware

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