156 lines
5.2 KiB
Python
156 lines
5.2 KiB
Python
from __future__ import annotations
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from crypto_spot_bot.analytics import risk_guard_snapshot
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from crypto_spot_bot.data_quality import analyze_symbol_quality
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from crypto_spot_bot.models import Candle, Ticker, Trade, utc_now
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from crypto_spot_bot.storage import Storage
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def test_risk_guard_reduces_size_after_consecutive_losses(make_settings, tmp_path) -> None:
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settings = make_settings(tmp_path, risk_max_consecutive_losses=2)
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storage = Storage(settings.database_path)
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now = utc_now()
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for _ in range(2):
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storage.insert_trade(
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Trade(
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id=None,
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symbol="BTCUSDT",
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side="SELL",
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qty=1.0,
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entry_price=100.0,
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exit_price=99.0,
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net_pnl=-1.0,
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opened_at=now,
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closed_at=now,
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entry_diagnostics={"forecast": {"probability_up": 0.64, "model": "torch_gru"}},
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)
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)
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guard = risk_guard_snapshot(settings, storage.closed_trades(), storage.latest_equity())
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assert guard["block_new_entries"] is False
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assert "consecutive_losses" in guard["reasons"]
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assert guard["position_size_multiplier"] == settings.risk_reduce_multiplier
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def test_risk_guard_blocks_only_bad_symbol(make_settings, tmp_path) -> None:
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settings = make_settings(
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tmp_path,
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risk_symbol_guard_enabled=True,
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risk_max_consecutive_losses=3,
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symbols=["BTCUSDT", "ETHUSDT"],
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)
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storage = Storage(settings.database_path)
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now = utc_now()
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for _ in range(3):
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storage.insert_trade(
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Trade(
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id=None,
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symbol="BTCUSDT",
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side="SELL",
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qty=1.0,
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entry_price=100.0,
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exit_price=99.0,
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net_pnl=-1.0,
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opened_at=now,
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closed_at=now,
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entry_diagnostics={"forecast": {"probability_up": 0.64, "model": "torch_gru"}},
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)
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)
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storage.insert_trade(
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Trade(
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id=None,
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symbol="ETHUSDT",
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side="SELL",
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qty=1.0,
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entry_price=100.0,
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exit_price=102.0,
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net_pnl=2.0,
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opened_at=now,
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closed_at=now,
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entry_diagnostics={"forecast": {"probability_up": 0.64, "model": "torch_gru"}},
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)
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)
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guard = risk_guard_snapshot(settings, storage.closed_trades(), storage.latest_equity())
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assert guard["block_new_entries"] is False
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assert guard["blocked_symbols"] == ["BTCUSDT"]
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symbol_rows = {row["symbol"]: row for row in guard["symbols"]}
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assert symbol_rows["BTCUSDT"]["block_new_entries"] is True
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assert symbol_rows["ETHUSDT"]["block_new_entries"] is False
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def test_risk_guard_can_disable_symbol_blocks(make_settings, tmp_path) -> None:
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settings = make_settings(
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tmp_path,
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risk_symbol_guard_enabled=False,
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risk_max_consecutive_losses=3,
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symbols=["BTCUSDT", "ETHUSDT"],
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)
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storage = Storage(settings.database_path)
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now = utc_now()
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for _ in range(3):
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storage.insert_trade(
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Trade(
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id=None,
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symbol="BTCUSDT",
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side="SELL",
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qty=1.0,
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entry_price=100.0,
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exit_price=99.0,
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net_pnl=-1.0,
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opened_at=now,
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closed_at=now,
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entry_diagnostics={"forecast": {"probability_up": 0.64, "model": "torch_gru"}},
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)
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)
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guard = risk_guard_snapshot(settings, storage.closed_trades(), storage.latest_equity())
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assert guard["symbol_guard_enabled"] is False
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assert guard["blocked_symbols"] == []
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symbol_rows = {row["symbol"]: row for row in guard["symbols"]}
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assert symbol_rows["BTCUSDT"]["consecutive_losses"] == 3
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assert symbol_rows["BTCUSDT"]["block_new_entries"] is False
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assert symbol_rows["BTCUSDT"]["reasons"] == []
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def test_risk_guard_ignores_trades_outside_active_universe(make_settings, tmp_path) -> None:
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settings = make_settings(tmp_path, risk_max_consecutive_losses=2, symbols=["BTCUSDT", "ETHUSDT"])
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storage = Storage(settings.database_path)
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now = utc_now()
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for _ in range(4):
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storage.insert_trade(
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Trade(
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id=None,
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symbol="HYPEUSDT",
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side="SELL",
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qty=1.0,
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entry_price=100.0,
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exit_price=99.0,
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net_pnl=-1.0,
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opened_at=now,
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closed_at=now,
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)
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)
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guard = risk_guard_snapshot(settings, storage.closed_trades(), storage.latest_equity())
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assert guard["block_new_entries"] is False
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assert guard["reasons"] == []
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assert guard["blocked_symbols"] == []
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def test_data_quality_flags_missing_candle_gap() -> None:
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candles = [
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Candle(1_000_000, 100, 101, 99, 100.5, 10),
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Candle(1_000_000 + 60 * 60 * 1000 * 3, 100.5, 102, 100, 101, 12),
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]
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ticker = Ticker("BTCUSDT", 101, 100.99, 101.01, 1_000_000, 100, 0)
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row = analyze_symbol_quality(symbol="BTCUSDT", candles=candles, ticker=ticker, interval="60")
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assert row["status"] == "warn"
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assert any(issue["code"] == "missing_candles" for issue in row["issues"])
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