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, 144 insertions, 0 deletions

diff --git a/shared/tests/test_sentiment.py b/shared/tests/test_sentiment.py
new file mode 100644
index 0000000..2caa266
--- /dev/null
+++ b/shared/tests/test_sentiment.py
@@ -0,0 +1,144 @@
+"""Tests for market sentiment module."""
+
+import pytest
+from unittest.mock import AsyncMock, MagicMock
+from shared.sentiment import SentimentData, SentimentProvider
+
+
+# --- SentimentData tests ---
+
+
+def test_sentiment_should_buy_on_fear():
+    s = SentimentData(fear_greed_value=15)  # Extreme fear
+    assert s.should_buy is True
+
+
+def test_sentiment_should_not_buy_on_greed():
+    s = SentimentData(fear_greed_value=75)  # Greed
+    assert s.should_buy is False
+
+
+def test_sentiment_should_block_extreme_greed():
+    s = SentimentData(fear_greed_value=85)
+    assert s.should_block is True
+
+
+def test_sentiment_should_block_very_negative_news():
+    s = SentimentData(news_sentiment=-0.6)
+    assert s.should_block is True
+
+
+def test_sentiment_no_block_on_neutral():
+    s = SentimentData(fear_greed_value=50, news_sentiment=0.0)
+    assert s.should_block is False
+
+
+def test_sentiment_should_buy_default_no_data():
+    s = SentimentData()
+    assert s.should_buy is True
+    assert s.should_block is False
+
+
+def test_sentiment_positive_news_allows_buy():
+    s = SentimentData(fear_greed_value=50, news_sentiment=0.3)
+    assert s.should_buy is True
+
+
+def test_sentiment_outflow_bullish():
+    s = SentimentData(exchange_netflow=-100.0)  # Outflow = bullish
+    assert s.should_buy is True
+
+
+def test_sentiment_inflow_bearish():
+    s = SentimentData(fear_greed_value=50, exchange_netflow=100.0)  # Inflow = bearish
+    assert s.should_buy is False
+
+
+# --- SentimentProvider tests ---
+
+
+@pytest.mark.asyncio
+async def test_provider_fetch_fear_greed():
+    provider = SentimentProvider()
+
+    mock_response = AsyncMock()
+    mock_response.status = 200
+    mock_response.json = AsyncMock(
+        return_value={"data": [{"value": "25", "value_classification": "Extreme Fear"}]}
+    )
+    mock_response.__aenter__ = AsyncMock(return_value=mock_response)
+    mock_response.__aexit__ = AsyncMock(return_value=False)
+
+    mock_session = MagicMock()
+    mock_session.closed = False
+    mock_session.get = MagicMock(return_value=mock_response)
+    mock_session.close = AsyncMock()
+    provider._session = mock_session
+
+    value, label = await provider.fetch_fear_greed()
+    assert value == 25
+    assert label == "Extreme Fear"
+
+    await provider.close()
+
+
+@pytest.mark.asyncio
+async def test_provider_fetch_fear_greed_failure():
+    provider = SentimentProvider()
+
+    mock_response = AsyncMock()
+    mock_response.status = 500
+    mock_response.__aenter__ = AsyncMock(return_value=mock_response)
+    mock_response.__aexit__ = AsyncMock(return_value=False)
+
+    mock_session = MagicMock()
+    mock_session.closed = False
+    mock_session.get = MagicMock(return_value=mock_response)
+    mock_session.close = AsyncMock()
+    provider._session = mock_session
+
+    value, label = await provider.fetch_fear_greed()
+    assert value is None
+
+    await provider.close()
+
+
+@pytest.mark.asyncio
+async def test_provider_news_disabled_without_key():
+    provider = SentimentProvider(cryptopanic_api_key="")
+    score, count = await provider.fetch_news_sentiment()
+    assert score is None
+    assert count == 0
+
+
+@pytest.mark.asyncio
+async def test_provider_netflow_disabled_without_key():
+    provider = SentimentProvider(cryptoquant_api_key="")
+    result = await provider.fetch_exchange_netflow()
+    assert result is None
+
+
+@pytest.mark.asyncio
+async def test_provider_get_sentiment_aggregates():
+    provider = SentimentProvider()
+
+    mock_response = AsyncMock()
+    mock_response.status = 200
+    mock_response.json = AsyncMock(
+        return_value={"data": [{"value": "20", "value_classification": "Extreme Fear"}]}
+    )
+    mock_response.__aenter__ = AsyncMock(return_value=mock_response)
+    mock_response.__aexit__ = AsyncMock(return_value=False)
+
+    mock_session = MagicMock()
+    mock_session.closed = False
+    mock_session.get = MagicMock(return_value=mock_response)
+    mock_session.close = AsyncMock()
+    provider._session = mock_session
+
+    sentiment = await provider.get_sentiment("SOL")
+    assert sentiment.fear_greed_value == 20
+    assert sentiment.fear_greed_label == "Extreme Fear"
+    assert provider.cached is sentiment
+
+    await provider.close()