feat(sentiment): add 30 new sources for uncovered trade assets
Add 5 RSS feeds + 25 Telegram web_crawl channels for assets with ZERO coverage: - STX: BlockstackUpdate, StacksChat (missed +43% ONE, -5.65% STX) - FET: fetch_ai_announcements, fetch_ai (missed +22.68%) - XTZ: TezosAnnouncements, TezosPlatform (missed +3.85%) - ENJ: enjininsights, ejsnews (missed +5.13%) - ETC: etcnetwork, EtcHash + RSS (missed +8.52%) - TRX: tronnetworkEN, Tron_TRX_News (missed -0.44%) - ONG: ontologyannouncements, OntologyNetwork + RSS (missed +6.37%) - DASH: dashnewsbot, dash_chat + RSS (missed +6.45%) - LTC: litecoin_crypto, litecoin_fundamentals + RSS (missed +5.45%) - ZIL: zilliqann, zilliqachat, ZilliqaDevs + RSS (missed -2.88%, 9x SHORT loss) - NEAR: NearAnnouncements (missed +19.26%) - APT: AptosAnnouncements (missed +10.35%) - SUI: SuiAnnouncements (missed +10.87%) - ICP: dfinity (missed +10.86%) All sources verified: RSS feeds return valid XML, Telegram public preview URLs return HTML. Coverage for trade assets: 40% → ~95%+
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# Patch for labeling_pipeline.py - add missing bearish patterns
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import re
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# Read the file
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with open('/mnt/dolphinng5_predict/sentiment_engine/labeling_pipeline.py', 'r') as f:
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content = f.read()
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# Update BEARISH_PATTERNS to include depeg and regulatory actions
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old_bearish = ''' BEARISH_PATTERNS = [
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r"\\b(crash|crash|dump|bearish|panic|rekt|short|shorting)\\b",
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r"\\b(hack|exploit|drain|stolen|rug|rugpull|scam)\\b",
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r"\\b(death.cross|breakdown|capitulation|liquidation)\\b",
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r"[📉😭💀🩸🧻]",
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]'''
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new_bearish = ''' BEARISH_PATTERNS = [
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r"\\b(crash|crash|dump|bearish|panic|rekt|short|shorting)\\b",
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r"\\b(hack|exploit|drain|stolen|rug|rugpull|scam|depeg|depegged)\\b",
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r"\\b(death.cross|breakdown|capitulation|liquidation)\\b",
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r"\\b(sec|lawsuit|enforcement|regulation|regulatory|cftc|ban|delist)\\b",
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r"[📉😭💀🩸🧻]",
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]'''
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content = content.replace(old_bearish, new_bearish)
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# Also add more bullish patterns for clarity
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old_bullish = ''' BULLISH_PATTERNS = [
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r"\\b(surge|surge|moon|pump|bullish|breakout|ath|all.time.high)\\b",
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r"\\b(institutional|adoption|etf|accumulate|long|longing)\\b",
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r"\\b(golden.cross|breakout|bullish|rally|surge|rally)\\b",
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r"[🚀📈💎🙌🌙]",
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]'''
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new_bullish = ''' BULLISH_PATTERNS = [
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r"\\b(surge|surge|moon|pump|bullish|breakout|ath|all.time.high)\\b",
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r"\\b(institutional|adoption|etf|accumulate|long|longing)\\b",
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r"\\b(golden.cross|breakout|bullish|rally|surge|rally)\\b",
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r"\\b(etf.approval|etf.approved|inflows|institutional.buying|whale.accumulation)\\b",
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r"[🚀📈💎🙌🌙]",
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]'''
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content = content.replace(old_bullish, new_bullish)
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# Write the patched file
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with open('/mnt/dolphinng5_predict/sentiment_engine/labeling_pipeline.py', 'w') as f:
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f.write(content)
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print("Patch applied successfully!")
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