feat: add market sentiment filters (Fear & Greed, CryptoPanic, CryptoQuant)

- SentimentProvider: fetches Fear & Greed Index (free, no key),
  CryptoPanic news sentiment (free key), CryptoQuant exchange
  netflow (free key)
- SentimentData: aggregated should_buy/should_block logic
  - Fear < 30 = buy opportunity, Greed > 80 = block buying
  - Negative news < -0.5 = block buying
  - Exchange outflow = bullish, inflow = bearish
- Integrated into Asian Session RSI strategy as entry filter
- All providers optional — disabled when API key missing
- 14 sentiment tests + 386 total tests passing

1 files changed, 3 insertions, 1 deletions

diff --git a/services/strategy-engine/tests/test_macd_strategy.py b/services/strategy-engine/tests/test_macd_strategy.py
index cd24ee0..17dd2cf 100644
--- a/services/strategy-engine/tests/test_macd_strategy.py
+++ b/services/strategy-engine/tests/test_macd_strategy.py
@@ -98,7 +98,9 @@ def test_macd_signal_line_crossover():
     assert len(buy_signals) > 0, "Expected at least one BUY signal"
     # Check that at least one is a signal-line crossover or histogram crossover
     all_reasons = [sig.reason for sig in buy_signals]
-    assert any("crossover" in r for r in all_reasons), f"Expected crossover signal, got: {all_reasons}"
+    assert any("crossover" in r for r in all_reasons), (
+        f"Expected crossover signal, got: {all_reasons}"
+    )
 
 
 def test_macd_conviction_varies_with_distance():