Add analytics risk guard and redesigned dashboard

tests/test_analytics_quality.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+from crypto_spot_bot.analytics import risk_guard_snapshot
+from crypto_spot_bot.data_quality import analyze_symbol_quality
+from crypto_spot_bot.models import Candle, Ticker, Trade, utc_now
+from crypto_spot_bot.storage import Storage
+
+
+def test_risk_guard_blocks_after_consecutive_losses(make_settings, tmp_path) -> None:
+    settings = make_settings(tmp_path, risk_max_consecutive_losses=2)
+    storage = Storage(settings.database_path)
+    now = utc_now()
+    for _ in range(2):
+        storage.insert_trade(
+            Trade(
+                id=None,
+                symbol="BTCUSDT",
+                side="SELL",
+                qty=1.0,
+                entry_price=100.0,
+                exit_price=99.0,
+                net_pnl=-1.0,
+                opened_at=now,
+                closed_at=now,
+                entry_diagnostics={"forecast": {"probability_up": 0.64, "model": "torch_gru"}},
+            )
+        )
+
+    guard = risk_guard_snapshot(settings, storage.closed_trades(), storage.latest_equity())
+
+    assert guard["block_new_entries"] is True
+    assert "consecutive_losses" in guard["reasons"]
+    assert guard["position_size_multiplier"] == 0.0
+
+
+def test_data_quality_flags_missing_candle_gap() -> None:
+    candles = [
+        Candle(1_000_000, 100, 101, 99, 100.5, 10),
+        Candle(1_000_000 + 60 * 60 * 1000 * 3, 100.5, 102, 100, 101, 12),
+    ]
+    ticker = Ticker("BTCUSDT", 101, 100.99, 101.01, 1_000_000, 100, 0)
+
+    row = analyze_symbol_quality(symbol="BTCUSDT", candles=candles, ticker=ticker, interval="60")
+
+    assert row["status"] == "warn"
+    assert any(issue["code"] == "missing_candles" for issue in row["issues"])