Crypto trading bot: engine, brokers, backtester, dashboard, deploy
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FastAPI backend with a single-strategy async engine, paper and Binance
brokers, pure-python indicators, a backtester that shares the engine's
portfolio math, and a Vue dashboard with a live WebSocket feed. Adds the
Gitea Actions CI/CD workflow that deploys to Traefik via docker_default.
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matitos committed 2026-09-18 17:02:33 +00:00
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# ruff: noqa: E402, I001
from __future__ import annotations
import os
os.environ["DATABASE_URL"] = "sqlite:///./data/test_trader.db"
os.environ["FEE_BPS"] = "0"
os.environ["SLIPPAGE_BPS"] = "0"
os.environ["POLL_INTERVAL"] = "3600"
os.environ["STARTING_BALANCE"] = "10000"
from collections.abc import Iterator # noqa: E402
import pytest # noqa: E402
from app.broker.paper import PaperBroker # noqa: E402
from app.config import Settings # noqa: E402
from app.market.fake import FakeMarketData # noqa: E402
from app.models import Base # noqa: E402
from app.db import engine as db_engine # noqa: E402
from app.runtime import Runtime # noqa: E402
from app.store import Store # noqa: E402
@pytest.fixture
def settings() -> Settings:
return Settings(
mode="paper",
symbol="BTC/USDT",
timeframe="1m",
poll_interval=3600,
starting_balance=10_000,
fee_bps=0,
slippage_bps=0,
)
@pytest.fixture(autouse=True)
def clean_db() -> Iterator[None]:
Base.metadata.drop_all(bind=db_engine)
Base.metadata.create_all(bind=db_engine)
yield
Base.metadata.drop_all(bind=db_engine)
@pytest.fixture
def store() -> Store:
return Store()
@pytest.fixture
def market() -> FakeMarketData:
return FakeMarketData.from_closes([100.0, 101.0, 102.0])
@pytest.fixture
def runtime(settings: Settings, store: Store, market: FakeMarketData) -> Runtime:
return Runtime(
settings,
store,
feed_factory=lambda _settings: market,
broker_factory=lambda _settings: PaperBroker(fee_bps=0, slippage_bps=0),
)