Arena run #668

You are an Arena strategy executor. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices, fundamentals, earnings dates, or sentiment. If a field is null/empty, treat it as unknown. You are a constrained selector (no narrative).

{"task": "stage1_universe_scan", "region": "US", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "selection_rules": {"horizon": "2-10 trading days", "target": "short-term mean reversion in liquid equities", "constraints": ["Select exactly 5 candidates", "Avoid earnings within 5 trading days (if known)", "Avoid highly binary/event-driven moves (if known)", "Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)"]}, "universe": [{"symbol": "WTB_CFD.UK", "name": "WHITBREAD PLC", "sector": "", "last_price": 2691.0, "change_1d_pct": 11.659751037344401, "distance_from_ma200_pct": -5.969827496214986, "distance_from_ma50_pct": -5.069507041577781, "volatility_20d_pct": 87.61035263352142, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "JDW_CFD.UK", "name": "WETHERSPOON (J.D.) PLC", "sector": "", "last_price": 748.5, "change_1d_pct": 9.750733137829904, "distance_from_ma200_pct": 6.242631058659898, "distance_from_ma50_pct": 5.290077328071208, "volatility_20d_pct": 98.2373545531062, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "UTG_CFD.UK", "name": "UNITE GROUP PLC/THE", "sector": "", "last_price": 567.5, "change_1d_pct": 3.4639927073837784, "distance_from_ma200_pct": -23.929923575376698, "distance_from_ma50_pct": -3.6875042216270137, "volatility_20d_pct": 73.84223442053181, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IWG_CFD.UK", "name": "IWG PLC", "sector": "", "last_price": 205.4, "change_1d_pct": -16.5718927701056, "distance_from_ma200_pct": -4.40871742234894, "distance_from_ma50_pct": -10.856111173800208, "volatility_20d_pct": 135.80434164824575, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "WIX_CFD.UK", "name": "WICKES GROUP PLC", "sector": "", "last_price": 224.5, "change_1d_pct": 5.39906103286385, "distance_from_ma200_pct": 7.488372582947989, "distance_from_ma50_pct": -0.024403842625497774, "volatility_20d_pct": 101.36283395409495, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "KGF_CFD.UK", "name": "KINGFISHER PLC", "sector": "", "last_price": 347.0, "change_1d_pct": 2.6020106445890034, "distance_from_ma200_pct": 18.583930168759967, "distance_from_ma50_pct": 6.639688157278489, "volatility_20d_pct": 88.64906606382688, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DLN_CFD.UK", "name": "DERWENT LONDON PLC", "sector": "", "last_price": 1953.0, "change_1d_pct": 10.401356698699837, "distance_from_ma200_pct": 5.069478604951705, "distance_from_ma50_pct": 12.150447212111025, "volatility_20d_pct": 115.39088732649292, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "EMG_CFD.UK", "name": "MAN GROUP PLC/JERSEY", "sector": "", "last_price": 269.6, "change_1d_pct": 2.353834472285521, "distance_from_ma200_pct": 42.186331073171914, "distance_from_ma50_pct": 15.516783354614262, "volatility_20d_pct": 86.92367167139048, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ABDN_CFD.UK", "name": "Aberdeen Group Plc", "sector": "", "last_price": 215.2, "change_1d_pct": -0.6463527239150557, "distance_from_ma200_pct": 13.219747060140353, "distance_from_ma50_pct": 3.663782514155023, "volatility_20d_pct": 74.75396598460024, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ADJ_CFD.DE", "name": "ADLER GROUP SA", "sector": "", "last_price": 0.192, "change_1d_pct": 3.7837837837837895, "distance_from_ma200_pct": -7.239655047467208, "distance_from_ma50_pct": 0.3869078740980747, "volatility_20d_pct": 289.0458804486071, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "VTY_CFD.UK", "name": "VISTRY GROUP PLC", "sector": "", "last_price": 422.1, "change_1d_pct": -41.75842371057207, "distance_from_ma200_pct": -32.93902241109237, "distance_from_ma50_pct": -33.642404720020004, "volatility_20d_pct": 211.52864207091707, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "BBY_CFD.UK", "name": "BALFOUR BEATTY PLC", "sector": "", "last_price": 759.18, "change_1d_pct": 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"distance_from_ma200_pct": 13.317546227885302, "distance_from_ma50_pct": -1.7757021353705382, "volatility_20d_pct": 112.7399273800121, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ITV_CFD.UK", "name": "ITV PLC", "sector": "", "last_price": 86.0, "change_1d_pct": 3.92749244712991, "distance_from_ma200_pct": 7.871211807633016, "distance_from_ma50_pct": 5.417994606521215, "volatility_20d_pct": 139.7485078641958, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IMI_CFD.UK", "name": "IMI PLC", "sector": "", "last_price": 2774.0, "change_1d_pct": 4.7583081570997, "distance_from_ma200_pct": 25.227479847754264, "distance_from_ma50_pct": 6.661876238540865, "volatility_20d_pct": 87.69330898337377, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DOM_CFD.UK", "name": "DOMINO'S PIZZA GROUP PLC", "sector": "", "last_price": 189.21, "change_1d_pct": 4.190528634361246, "distance_from_ma200_pct": -12.46581454882838, "distance_from_ma50_pct": 4.428944053991102, "volatility_20d_pct": 85.812071272284, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IPO_CFD.UK", "name": "IP GROUP PLC", "sector": "", "last_price": 57.6, "change_1d_pct": -1.873935264054516, "distance_from_ma200_pct": 10.233643652522883, 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71.9015306710323, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "HBR_CFD.UK", "name": "HARBOUR ENERGY PLC", "sector": "", "last_price": 293.4, "change_1d_pct": 2.947368421052632, "distance_from_ma200_pct": 37.47723648263506, "distance_from_ma50_pct": 27.090011262236846, "volatility_20d_pct": 145.41433782059445, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "GEN_CFD.US", "name": "", "sector": "", "last_price": 20.5, "change_1d_pct": -4.606793857608182, "distance_from_ma200_pct": -25.10129593026017, "distance_from_ma50_pct": -14.154103852596311, "volatility_20d_pct": 67.89859055986832, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "BIG_CFD.FR", "name": "Bigben Interactive", "sector": "", "last_price": 0.309, "change_1d_pct": 4.745762711864421, "distance_from_ma200_pct": -71.51981861166028, "distance_from_ma50_pct": -58.9248684000638, "volatility_20d_pct": 293.48292710403206, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "GM_CFD.US", "name": "GENERAL MOTORS CO", "sector": "", "last_price": 72.51, "change_1d_pct": -4.403427818061956, "distance_from_ma200_pct": 10.062081632033525, "distance_from_ma50_pct": -9.98093100400249, "volatility_20d_pct": 72.88937458861474, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "VBK_CFD.DE", "name": "VERBIO Vereinigte BioEnergie AG", "sector": "", "last_price": 35.78, "change_1d_pct": 6.434244578635817, "distance_from_ma200_pct": 116.85525336093825, "distance_from_ma50_pct": 38.21246245318237, "volatility_20d_pct": 108.65148935110224, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "GAW_CFD.UK", "name": "", "sector": "", "last_price": 17180.0, "change_1d_pct": -0.7510109763142703, "distance_from_ma200_pct": 3.4485803607705368, "distance_from_ma50_pct": -1.889119857459387, "volatility_20d_pct": 55.03838903120894, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "XFAB_CFD.FR", "name": "X-FAB Silicon Foundries SE", "sector": "", "last_price": 4.836, "change_1d_pct": 0.4987531172069737, "distance_from_ma200_pct": -17.15908419333315, "distance_from_ma50_pct": -1.3065252794886573, "volatility_20d_pct": 87.13403152038191, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "HAS_CFD.US", "name": "", "sector": "", "last_price": 94.09, "change_1d_pct": -2.2746157041960924, "distance_from_ma200_pct": 16.275980279178516, "distance_from_ma50_pct": 0.3399764533246863, "volatility_20d_pct": 81.95298405710605, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IAC_CFD.US", "name": "IAC/INTERACTIVECORP", "sector": "", "last_price": 38.5, "change_1d_pct": 3.0238158951030325, "distance_from_ma200_pct": 5.142563758041008, "distance_from_ma50_pct": 2.0532585472917475, "volatility_20d_pct": 70.61801645662662, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DGE_CFD.UK", "name": "DIAGEO PLC", "sector": "", "last_price": 1464.0, "change_1d_pct": -2.400000000000002, "distance_from_ma200_pct": -18.695936129659984, "distance_from_ma50_pct": -12.230857783893912, "volatility_20d_pct": 81.12461662929147, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "CRST_CFD.UK", "name": "CREST NICHOLSON HOLDINGS", "sector": "", "last_price": 169.5, "change_1d_pct": 25.18463810930576, "distance_from_ma200_pct": 2.1353827094136912, "distance_from_ma50_pct": 18.261534511436817, "volatility_20d_pct": 158.5020616154255, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}], "output_schema": {"selected_stocks": [{"symbol": "string", "mean_reversion_score": "integer 0-100", "selection_reason": "short, concrete, indicator-based"}], "rejected_common_reasons": ["string"]}}

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  "raw": {
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          "reasoning": "The user wants a JSON output representing a \"stage1_universe_scan\" for a \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy.\n\n**Strategy Rules:**\n*   **Region:** US (Note: The universe provided contains many UK/EU symbols, but the strategy specifies \"region\": \"US\". However, the `universe` list provided in the prompt contains mostly UK and EU CFDs. I must select from the provided universe. If the universe contains non-US symbols, I should probably still evaluate them if they are in the provided list, or perhaps the user expects me to filter. Let's look at the `universe_symbols_us` in the strategy: it's empty. The `universe` list provided in the input is the *actual* universe to scan. I will proceed by scanning the provided universe, regardless of the \"region\": \"US\" setting in the strategy object, as the input data overrides the configuration for this specific run.)\n*   **Target:** Short-term mean reversion in liquid equities.\n*   **Horizon:** 2-10 trading days.\n*   **Constraints:**\n    *   Select exactly 5 candidates.\n    *   Avoid earnings within 5 trading days (if known). (Data is null for most, so I can't filter strictly on this, but I should note it if data exists).\n    *   Avoid highly binary/event-driven moves (if known). (News sentiment is null, headlines are empty. I have to rely on price action).\n    *   Avoid sector concentration: max 1 per sector. (Sector is empty for all. I can't enforce this strictly, but I should try to pick diverse names if possible, or just acknowledge the limitation).\n*   **Selection Logic (Mean Reversion):**\n    *   Look for stocks that have moved significantly away from their mean (MA50 or MA200) and are likely to snap back.\n    *   Or look for extreme volatility followed by a potential pause/reversal.\n    *   Usually, mean reversion involves buying dips or selling rips.\n    *   Given the `change_1d_pct` and `distance_from_ma50_pct`/`distance_from_ma200_pct`:\n        *   High positive distance from MA + high positive 1d change = potential short (sell the rip).\n        *   High negative distance from MA + high negative 1d change = potential long (buy the dip).\n    *   However, \"Two-Stage LLM Mean-Reversion\" often implies looking for extremes.\n    *   Let's look at the data. Most sectors are unknown. Earnings are unknown.\n\n**Analyzing the Universe:**\n\n1.  **WTB_CFD.UK (Whitbread):** +11.66% 1d, Dist MA50: -5%, Dist MA200: -6%. Volatility 87%. It jumped up, but is still below MAs. Maybe a bounce play?\n2.  **JDW_CFD.UK (J D Wetherspoon):** +9.75% 1d, Dist MA50: +5%, Dist MA200: +6%. Volatility 98%. Strong move up, above MAs. Potential Short (mean reversion down).\n3.  **UTG_CFD.UK (Unite Group):** +3.46% 1d, Dist MA50: -3.7%, Dist MA200: -24%. Deeply oversold on MA200, slight bounce. Potential Long (mean reversion up).\n4.  **IWG_CFD.UK (IWG):** -16.57% 1d, Dist MA50: -10.8%, Dist MA200: -4.4%. Big drop. Volatility 135%. Potential Long (catch a falling knife? or avoid?).\n5.  **WIX_CFD.UK (Wickes):** +5.4% 1d, Dist MA50: ~0%, Dist MA200: +7.5%.\n6.  **KGF_CFD.UK (Kingfisher):** +2.6% 1d, Dist MA50: +6.6%, Dist MA200: +18.6%. Extended.\n7.  **DLN_CFD.UK (Derwent London):** +10.4% 1d, Dist MA50: +12%, Dist MA200: +5%. Strong rip. Potential Short.\n8.  **EMG_CFD.UK (Man Group):** +2.35% 1d, Dist MA50: +15.5%, Dist MA200: +42%. Very extended. Potential Short.\n9.  **ABDN_CFD.UK (Aberdeen):** -0.6% 1d, Dist MA50: +3.6%, Dist MA200: +13%.\n10. **ADJ_CFD.DE (Adler Group):** +3.78% 1d, Dist MA50: +0.3%, Dist MA200: -7%. Volatility 289% (Very high).\n11. **VTY_CFD.UK (Vistry Group):** -41.76% 1d, Dist MA50: -33%, Dist MA200: -33%. Massive crash. Volatility 211%. This looks like an event-driven move (earnings or news). Rule: \"Avoid highly binary/event-driven moves\". This is a hard reject.\n12. **BBY_CFD.UK (Balfour Beatty):** +5.22% 1d, Dist MA50: +8.8%, Dist MA200: +33%. Extended. Potential Short.\n13. **XRX_CFD.US (Xerox):** -9.8% 1d, Dist MA50: -26%, Dist MA200: -55%. Very oversold. Potential Long.\n14. **VSVS_CFD.UK (Vesuvius):** -10.35% 1d, Dist MA50: -1.7%, Dist MA200: +13%.\n15. **ITV_CFD.UK (ITV):** +3.9% 1d, Dist MA50: +5.4%, Dist MA200: +7.8%.\n16. **IMI_CFD.UK (IMI):** +4.7% 1d, Dist MA50: +6.6%, Dist MA200: +25%.\n17. **DOM_CFD.UK (Domino's):** +4.1% 1d, Dist MA50: +4.4%, Dist MA200: -12%.\n18. **IPO_CFD.UK (IP Group):** -1.8% 1d, Dist MA50: -2%, Dist MA200: +10%.\n19. **ATG_CFD.UK (Auction Tech):** +4.2% 1d, Dist MA50: -1.1%, Dist MA200: -30%.\n20. **BME_CFD.UK (B&M):** -0.5% 1d, Dist MA50: +3.6%, Dist MA200: -17%.\n21. **GROW_CFD.UK (Molten Ventures):** +1.5% 1d, Dist MA50: -4.2%, Dist MA200: +22%.\n22. **WKP_CFD.UK (Workspace):** +3.6% 1d, Dist MA50: +5.8%, Dist MA200: +1.8%.\n23. **FUTR_CFD.UK (Future):** -20.8% 1d, Dist MA50: -24%, Dist MA200: -37%. Big drop. Potential Long.\n24. **DPLM_CFD.UK (Diploma):** -5.4% 1d, Dist MA50: -4.6%, Dist MA200: +4.8%.\n25. **IGG_CFD.UK (IG Group):** +3.1% 1d, Dist MA50: +9.8%, Dist MA200: +21%.\n26. **HELE_CFD.US (Helen of Troy):** +1.7% 1d, Dist MA50: -7.6%, Dist MA200: -23%. Potential Long.\n27. **WIZZ_CFD.UK (Wizz Air):** -20.5% 1d, Dist MA50: -27%, Dist MA200: -24%. Big drop. Potential Long.\n28. **HMSO_CFD.UK (Hammerson):** +14.1% 1d, Dist MA50: +10%, Dist MA200: +22%. Strong rip. Potential Short.\n29. **BT_CFD.UK (BT Group):** +4.4% 1d, Dist MA50: +12%, Dist MA200: +13%. Strong rip. Potential Short.\n30. **CO_CFD.FR (Casino):** -6.7% 1d, Dist MA50: -21%, Dist MA200: -52%. Distressed. Potential Long.\n31. **WLN_CFD.FR (Worldline):** -73% 1d. Dist MA50: -71%. This is a massive crash. Likely event driven (earnings or fraud/news). Rule: \"Avoid highly binary/event-driven moves\". Hard reject.\n32. **ICG_CFD.UK (ICG):** -13.3% 1d, Dist MA50: -11%, Dist MA200: -15%. Potential Long.\n33. **GRI_CFD.UK (Grainger):** +0.08% 1d, Dist MA50: +0.9%, Dist MA200: -4.9%.\n34. **IHG_CFD.UK (InterContinental):** -7.6% 1d, Dist MA50: -93%, Dist MA200: -98%. This data looks erroneous or a massive corporate action (e.g., share consolidation or spinoff). Volatility 602%. Hard reject due to data quality/event risk.\n35. **WAF_CFD.DE (Siltronic):** +12% 1d, Dist MA50: +7.6%, Dist MA200: +24%. Strong rip. Potential Short.\n36. **AMCX_CFD.US (AMC Networks):** -12% 1d, Dist MA50: -12%, Dist MA200: -8%. Potential Long.\n37. **GMM_CFD.DE (Grammer):** -1.5% 1d, Dist MA50: +1.6%, Dist MA200: +3.4%.\n38. **ASY_CFD.FR (Assystem):** +0.5% 1d, Dist MA50: -4.4%, Dist MA200: -1.4%.\n39. **HBR_CFD.UK (Harbour Energy):** +2.9% 1d, Dist MA50: +27%, Dist MA200: +37%. Very extended. Potential Short.\n40. **GEN_CFD.US (Gen):** -4.6% 1d, Dist MA50: -14%, Dist MA200: -25%. Potential Long.\n41. **BIG_CFD.FR (Bigben):** +4.7% 1d, Dist MA50: -58%, Dist MA200: -71%. Distressed penny stock behavior. Avoid.\n42. **GM_CFD.US (GM):** -4.4% 1d, Dist MA50: -9.9%, Dist MA200: +10%. Potential Long.\n43. **VBK_CFD.DE (Verbio):** +6.4% 1d, Dist MA50: +38%, Dist MA200: +116%. Extremely extended. Potential Short.\n44. **GAW_CFD.UK:** -0.75% 1d, Dist MA50: -1.8%, Dist MA200: +3.4%.\n45. **XFAB_CFD.FR:** +0.5% 1d, Dist MA50: -1.3%, Dist MA200: -17%.\n46. **HAS_CFD.US:** -2.2% 1d, Dist MA50: +0.3%, Dist MA200: +16%.\n47. **IAC_CFD.US:** +3% 1d, Dist MA50: +2%, Dist MA200: +5%.\n48. **DGE_CFD.UK (Diageo):** -2.4% 1d, Dist MA50: -12%, Dist MA200: -18%. Potential Long.\n49. **CRST_CFD.UK (Crest Nicholson):** +25% 1d, Dist MA50: +18%, Dist MA200: +2%. Huge spike. Potential Short.\n\n**Selection Strategy (Mean Reversion):**\n\nI need 5 candidates. I need a mix of potential Longs (oversold) and Shorts (overbought) to balance the portfolio, or just the best 5 setups based on distance from mean and recent move.\n\n*   **Short Candidates (Overbought/Rips):**\n    *   **VBK_CFD.DE (Verbio):** Dist MA50 +38%, Dist MA200 +116%. +6.4% today. Very extended. High risk but strong mean reversion signal.\n    *   **HBR_CFD.UK (Harbour Energy):** Dist MA50 +27%, Dist MA200 +37%. +2.9% today.\n    *   **EMG_CFD.UK (Man Group):** Dist MA50 +15%, Dist MA200 +42%.\n    *   **CRST_CFD.UK (Crest Nicholson):** +25% 1d is huge. Dist MA50 +18%.\n    *   **HMSO_CFD.UK (Hammerson):** +14% 1d. Dist MA50 +10%.\n    *   **WAF_CFD.DE (Siltronic):** +12% 1d. Dist MA50 +7.6%.\n    *   **BT_CFD.UK:** Dist MA50 +12%.\n\n*   **Long Candidates (Oversold/Dips):**\n    *   **XRX_CFD.US (Xerox):** Dist MA50 -26%, Dist MA200 -55%. -9.8% today. Deeply oversold.\n    *   **WIZZ_CFD.UK (Wizz Air):** Dist MA50 -27%, Dist MA200 -24%. -20.5% today. Big drop.\n    *   **FUTR_CFD.UK (Future):** Dist MA50 -24%, Dist MA200 -37%. -20.8% today.\n    *   **CO_CFD.FR (Casino):** Dist MA50 -21%, Dist MA200 -52%. -6.7% today.\n    *   **ICG_CFD.UK (ICG):** Dist MA50 -11%, Dist MA200 -15%. -13% today.\n    *   **AMCX_CFD.US (AMC):** Dist MA50 -12%, Dist MA200 -8%. -12% today.\n    *   **HELE_CFD.US (Helen of Troy):** Dist MA50 -7.6%, Dist MA200 -23%.\n\n**Filtering:**\n\n1.  **VTY_CFD.UK:** Rejected (Event driven, -41%).\n2.  **WLN_CFD.FR:** Rejected (Event driven, -73%).\n3.  **IHG_CFD.UK:** Rejected (Data anomaly/event, -93% MA50).\n4.  **BIG_CFD.FR:** Rejected (Penny stock erratic behavior).\n\n**Top 5 Selection:**\n\n1.  **VBK_CFD.DE (Verbio):** Strong short candidate. Extremely extended from MAs (+116% from MA200). Volatility is high (108%) but manageable compared to the rejected ones.\n2.  **XRX_CFD.US (Xerox):** Strong long candidate. Deeply oversold (-55% from MA200). Recent drop -9.8%. US stock (matches region preference if applicable, though not strictly enforced).\n3.  **WIZZ_CFD.UK (Wizz Air):** Strong long candidate. -20% drop, -27% from MA50. High volatility (174%) but fits mean reversion \"buy the dip\".\n4.  **CRST_CFD.UK (Crest Nicholson):** Strong short candidate. +25% single day move. Dist MA50 +18%. Likely to pull back.\n5.  **FUTR_CFD.UK (Future):** Strong long candidate. -20% drop. Dist MA50 -24%.\n\n*Alternative consideration:* **HMSO_CFD.UK** (+14%) vs **CRST** (+25%). CRST is more extreme. **WAF_CFD.DE** (+12%) is also good but CRST is stronger.\n*Alternative consideration:* **EMG_CFD.UK** is extended, but VBK is more extended.\n*Alternative consideration:* **CO_CFD.FR** is very distressed (-52% MA200), but WIZZ and FUTR have sharper recent moves which might be better for 2-10 day horizon.\n\n**Selected List:**\n1.  **VBK_CFD.DE** (Short) - Extreme extension.\n2.  **XRX_CFD.US** (Long) - Deep oversold.\n3.  **CRST_CFD.UK** (Short) - Extreme daily rip.\n4.  **WIZZ_CFD.UK** (Long) - Sharp drop.\n5.  **FUTR_CFD.UK** (Long) - Sharp drop.\n\nLet's check sectors. Unknown for all. I can't enforce the rule, but I will assume they are diverse enough (German Bioenergy vs US Tech vs UK Construction vs UK Airline vs UK Media).\n\n**Refining the selection reasons:**\n*   VBK: Extended +116% from MA200, +38% from MA50. High probability of mean reversion down.\n*   XRX: Oversold -55% from MA200, -26% from MA50. Bounce potential.\n*   CRST: +25% 1-day move, +18% above MA50. Overextended.\n*   WIZZ: -20% 1-day move, -27% below MA50. Oversold bounce.\n*   FUTR: -20% 1-day move, -24% below MA50. Oversold bounce.\n\nWait, I need to make sure I don't pick 3 longs and 2 shorts if the strategy implies a specific balance? The strategy says \"Two-Stage",
          "reasoning_details": [
            {
              "text": "The user wants a JSON output representing a \"stage1_universe_scan\" for a \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy.\n\n**Strategy Rules:**\n*   **Region:** US (Note: The universe provided contains many UK/EU symbols, but the strategy specifies \"region\": \"US\". However, the `universe` list provided in the prompt contains mostly UK and EU CFDs. I must select from the provided universe. If the universe contains non-US symbols, I should probably still evaluate them if they are in the provided list, or perhaps the user expects me to filter. Let's look at the `universe_symbols_us` in the strategy: it's empty. The `universe` list provided in the input is the *actual* universe to scan. I will proceed by scanning the provided universe, regardless of the \"region\": \"US\" setting in the strategy object, as the input data overrides the configuration for this specific run.)\n*   **Target:** Short-term mean reversion in liquid equities.\n*   **Horizon:** 2-10 trading days.\n*   **Constraints:**\n    *   Select exactly 5 candidates.\n    *   Avoid earnings within 5 trading days (if known). (Data is null for most, so I can't filter strictly on this, but I should note it if data exists).\n    *   Avoid highly binary/event-driven moves (if known). (News sentiment is null, headlines are empty. I have to rely on price action).\n    *   Avoid sector concentration: max 1 per sector. (Sector is empty for all. I can't enforce this strictly, but I should try to pick diverse names if possible, or just acknowledge the limitation).\n*   **Selection Logic (Mean Reversion):**\n    *   Look for stocks that have moved significantly away from their mean (MA50 or MA200) and are likely to snap back.\n    *   Or look for extreme volatility followed by a potential pause/reversal.\n    *   Usually, mean reversion involves buying dips or selling rips.\n    *   Given the `change_1d_pct` and `distance_from_ma50_pct`/`distance_from_ma200_pct`:\n        *   High positive distance from MA + high positive 1d change = potential short (sell the rip).\n        *   High negative distance from MA + high negative 1d change = potential long (buy the dip).\n    *   However, \"Two-Stage LLM Mean-Reversion\" often implies looking for extremes.\n    *   Let's look at the data. Most sectors are unknown. Earnings are unknown.\n\n**Analyzing the Universe:**\n\n1.  **WTB_CFD.UK (Whitbread):** +11.66% 1d, Dist MA50: -5%, Dist MA200: -6%. Volatility 87%. It jumped up, but is still below MAs. Maybe a bounce play?\n2.  **JDW_CFD.UK (J D Wetherspoon):** +9.75% 1d, Dist MA50: +5%, Dist MA200: +6%. Volatility 98%. Strong move up, above MAs. Potential Short (mean reversion down).\n3.  **UTG_CFD.UK (Unite Group):** +3.46% 1d, Dist MA50: -3.7%, Dist MA200: -24%. Deeply oversold on MA200, slight bounce. Potential Long (mean reversion up).\n4.  **IWG_CFD.UK (IWG):** -16.57% 1d, Dist MA50: -10.8%, Dist MA200: -4.4%. Big drop. Volatility 135%. Potential Long (catch a falling knife? or avoid?).\n5.  **WIX_CFD.UK (Wickes):** +5.4% 1d, Dist MA50: ~0%, Dist MA200: +7.5%.\n6.  **KGF_CFD.UK (Kingfisher):** +2.6% 1d, Dist MA50: +6.6%, Dist MA200: +18.6%. Extended.\n7.  **DLN_CFD.UK (Derwent London):** +10.4% 1d, Dist MA50: +12%, Dist MA200: +5%. Strong rip. Potential Short.\n8.  **EMG_CFD.UK (Man Group):** +2.35% 1d, Dist MA50: +15.5%, Dist MA200: +42%. Very extended. Potential Short.\n9.  **ABDN_CFD.UK (Aberdeen):** -0.6% 1d, Dist MA50: +3.6%, Dist MA200: +13%.\n10. **ADJ_CFD.DE (Adler Group):** +3.78% 1d, Dist MA50: +0.3%, Dist MA200: -7%. Volatility 289% (Very high).\n11. **VTY_CFD.UK (Vistry Group):** -41.76% 1d, Dist MA50: -33%, Dist MA200: -33%. Massive crash. Volatility 211%. This looks like an event-driven move (earnings or news). Rule: \"Avoid highly binary/event-driven moves\". This is a hard reject.\n12. **BBY_CFD.UK (Balfour Beatty):** +5.22% 1d, Dist MA50: +8.8%, Dist MA200: +33%. Extended. Potential Short.\n13. **XRX_CFD.US (Xerox):** -9.8% 1d, Dist MA50: -26%, Dist MA200: -55%. Very oversold. Potential Long.\n14. **VSVS_CFD.UK (Vesuvius):** -10.35% 1d, Dist MA50: -1.7%, Dist MA200: +13%.\n15. **ITV_CFD.UK (ITV):** +3.9% 1d, Dist MA50: +5.4%, Dist MA200: +7.8%.\n16. **IMI_CFD.UK (IMI):** +4.7% 1d, Dist MA50: +6.6%, Dist MA200: +25%.\n17. **DOM_CFD.UK (Domino's):** +4.1% 1d, Dist MA50: +4.4%, Dist MA200: -12%.\n18. **IPO_CFD.UK (IP Group):** -1.8% 1d, Dist MA50: -2%, Dist MA200: +10%.\n19. **ATG_CFD.UK (Auction Tech):** +4.2% 1d, Dist MA50: -1.1%, Dist MA200: -30%.\n20. **BME_CFD.UK (B&M):** -0.5% 1d, Dist MA50: +3.6%, Dist MA200: -17%.\n21. **GROW_CFD.UK (Molten Ventures):** +1.5% 1d, Dist MA50: -4.2%, Dist MA200: +22%.\n22. **WKP_CFD.UK (Workspace):** +3.6% 1d, Dist MA50: +5.8%, Dist MA200: +1.8%.\n23. **FUTR_CFD.UK (Future):** -20.8% 1d, Dist MA50: -24%, Dist MA200: -37%. Big drop. Potential Long.\n24. **DPLM_CFD.UK (Diploma):** -5.4% 1d, Dist MA50: -4.6%, Dist MA200: +4.8%.\n25. **IGG_CFD.UK (IG Group):** +3.1% 1d, Dist MA50: +9.8%, Dist MA200: +21%.\n26. **HELE_CFD.US (Helen of Troy):** +1.7% 1d, Dist MA50: -7.6%, Dist MA200: -23%. Potential Long.\n27. **WIZZ_CFD.UK (Wizz Air):** -20.5% 1d, Dist MA50: -27%, Dist MA200: -24%. Big drop. Potential Long.\n28. **HMSO_CFD.UK (Hammerson):** +14.1% 1d, Dist MA50: +10%, Dist MA200: +22%. Strong rip. Potential Short.\n29. **BT_CFD.UK (BT Group):** +4.4% 1d, Dist MA50: +12%, Dist MA200: +13%. Strong rip. Potential Short.\n30. **CO_CFD.FR (Casino):** -6.7% 1d, Dist MA50: -21%, Dist MA200: -52%. Distressed. Potential Long.\n31. **WLN_CFD.FR (Worldline):** -73% 1d. Dist MA50: -71%. This is a massive crash. Likely event driven (earnings or fraud/news). Rule: \"Avoid highly binary/event-driven moves\". Hard reject.\n32. **ICG_CFD.UK (ICG):** -13.3% 1d, Dist MA50: -11%, Dist MA200: -15%. Potential Long.\n33. **GRI_CFD.UK (Grainger):** +0.08% 1d, Dist MA50: +0.9%, Dist MA200: -4.9%.\n34. **IHG_CFD.UK (InterContinental):** -7.6% 1d, Dist MA50: -93%, Dist MA200: -98%. This data looks erroneous or a massive corporate action (e.g., share consolidation or spinoff). Volatility 602%. Hard reject due to data quality/event risk.\n35. **WAF_CFD.DE (Siltronic):** +12% 1d, Dist MA50: +7.6%, Dist MA200: +24%. Strong rip. Potential Short.\n36. **AMCX_CFD.US (AMC Networks):** -12% 1d, Dist MA50: -12%, Dist MA200: -8%. Potential Long.\n37. **GMM_CFD.DE (Grammer):** -1.5% 1d, Dist MA50: +1.6%, Dist MA200: +3.4%.\n38. **ASY_CFD.FR (Assystem):** +0.5% 1d, Dist MA50: -4.4%, Dist MA200: -1.4%.\n39. **HBR_CFD.UK (Harbour Energy):** +2.9% 1d, Dist MA50: +27%, Dist MA200: +37%. Very extended. Potential Short.\n40. **GEN_CFD.US (Gen):** -4.6% 1d, Dist MA50: -14%, Dist MA200: -25%. Potential Long.\n41. **BIG_CFD.FR (Bigben):** +4.7% 1d, Dist MA50: -58%, Dist MA200: -71%. Distressed penny stock behavior. Avoid.\n42. **GM_CFD.US (GM):** -4.4% 1d, Dist MA50: -9.9%, Dist MA200: +10%. Potential Long.\n43. **VBK_CFD.DE (Verbio):** +6.4% 1d, Dist MA50: +38%, Dist MA200: +116%. Extremely extended. Potential Short.\n44. **GAW_CFD.UK:** -0.75% 1d, Dist MA50: -1.8%, Dist MA200: +3.4%.\n45. **XFAB_CFD.FR:** +0.5% 1d, Dist MA50: -1.3%, Dist MA200: -17%.\n46. **HAS_CFD.US:** -2.2% 1d, Dist MA50: +0.3%, Dist MA200: +16%.\n47. **IAC_CFD.US:** +3% 1d, Dist MA50: +2%, Dist MA200: +5%.\n48. **DGE_CFD.UK (Diageo):** -2.4% 1d, Dist MA50: -12%, Dist MA200: -18%. Potential Long.\n49. **CRST_CFD.UK (Crest Nicholson):** +25% 1d, Dist MA50: +18%, Dist MA200: +2%. Huge spike. Potential Short.\n\n**Selection Strategy (Mean Reversion):**\n\nI need 5 candidates. I need a mix of potential Longs (oversold) and Shorts (overbought) to balance the portfolio, or just the best 5 setups based on distance from mean and recent move.\n\n*   **Short Candidates (Overbought/Rips):**\n    *   **VBK_CFD.DE (Verbio):** Dist MA50 +38%, Dist MA200 +116%. +6.4% today. Very extended. High risk but strong mean reversion signal.\n    *   **HBR_CFD.UK (Harbour Energy):** Dist MA50 +27%, Dist MA200 +37%. +2.9% today.\n    *   **EMG_CFD.UK (Man Group):** Dist MA50 +15%, Dist MA200 +42%.\n    *   **CRST_CFD.UK (Crest Nicholson):** +25% 1d is huge. Dist MA50 +18%.\n    *   **HMSO_CFD.UK (Hammerson):** +14% 1d. Dist MA50 +10%.\n    *   **WAF_CFD.DE (Siltronic):** +12% 1d. Dist MA50 +7.6%.\n    *   **BT_CFD.UK:** Dist MA50 +12%.\n\n*   **Long Candidates (Oversold/Dips):**\n    *   **XRX_CFD.US (Xerox):** Dist MA50 -26%, Dist MA200 -55%. -9.8% today. Deeply oversold.\n    *   **WIZZ_CFD.UK (Wizz Air):** Dist MA50 -27%, Dist MA200 -24%. -20.5% today. Big drop.\n    *   **FUTR_CFD.UK (Future):** Dist MA50 -24%, Dist MA200 -37%. -20.8% today.\n    *   **CO_CFD.FR (Casino):** Dist MA50 -21%, Dist MA200 -52%. -6.7% today.\n    *   **ICG_CFD.UK (ICG):** Dist MA50 -11%, Dist MA200 -15%. -13% today.\n    *   **AMCX_CFD.US (AMC):** Dist MA50 -12%, Dist MA200 -8%. -12% today.\n    *   **HELE_CFD.US (Helen of Troy):** Dist MA50 -7.6%, Dist MA200 -23%.\n\n**Filtering:**\n\n1.  **VTY_CFD.UK:** Rejected (Event driven, -41%).\n2.  **WLN_CFD.FR:** Rejected (Event driven, -73%).\n3.  **IHG_CFD.UK:** Rejected (Data anomaly/event, -93% MA50).\n4.  **BIG_CFD.FR:** Rejected (Penny stock erratic behavior).\n\n**Top 5 Selection:**\n\n1.  **VBK_CFD.DE (Verbio):** Strong short candidate. Extremely extended from MAs (+116% from MA200). Volatility is high (108%) but manageable compared to the rejected ones.\n2.  **XRX_CFD.US (Xerox):** Strong long candidate. Deeply oversold (-55% from MA200). Recent drop -9.8%. US stock (matches region preference if applicable, though not strictly enforced).\n3.  **WIZZ_CFD.UK (Wizz Air):** Strong long candidate. -20% drop, -27% from MA50. High volatility (174%) but fits mean reversion \"buy the dip\".\n4.  **CRST_CFD.UK (Crest Nicholson):** Strong short candidate. +25% single day move. Dist MA50 +18%. Likely to pull back.\n5.  **FUTR_CFD.UK (Future):** Strong long candidate. -20% drop. Dist MA50 -24%.\n\n*Alternative consideration:* **HMSO_CFD.UK** (+14%) vs **CRST** (+25%). CRST is more extreme. **WAF_CFD.DE** (+12%) is also good but CRST is stronger.\n*Alternative consideration:* **EMG_CFD.UK** is extended, but VBK is more extended.\n*Alternative consideration:* **CO_CFD.FR** is very distressed (-52% MA200), but WIZZ and FUTR have sharper recent moves which might be better for 2-10 day horizon.\n\n**Selected List:**\n1.  **VBK_CFD.DE** (Short) - Extreme extension.\n2.  **XRX_CFD.US** (Long) - Deep oversold.\n3.  **CRST_CFD.UK** (Short) - Extreme daily rip.\n4.  **WIZZ_CFD.UK** (Long) - Sharp drop.\n5.  **FUTR_CFD.UK** (Long) - Sharp drop.\n\nLet's check sectors. Unknown for all. I can't enforce the rule, but I will assume they are diverse enough (German Bioenergy vs US Tech vs UK Construction vs UK Airline vs UK Media).\n\n**Refining the selection reasons:**\n*   VBK: Extended +116% from MA200, +38% from MA50. High probability of mean reversion down.\n*   XRX: Oversold -55% from MA200, -26% from MA50. Bounce potential.\n*   CRST: +25% 1-day move, +18% above MA50. Overextended.\n*   WIZZ: -20% 1-day move, -27% below MA50. Oversold bounce.\n*   FUTR: -20% 1-day move, -24% below MA50. Oversold bounce.\n\nWait, I need to make sure I don't pick 3 longs and 2 shorts if the strategy implies a specific balance? The strategy says \"Two-Stage",
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You are an Arena portfolio manager. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices/fundamentals/news/earnings. If a field is null/empty, treat it as unknown. Avoid overtrading: if changes are marginal, prefer HOLD. Do not churn.

{"task": "stage2_portfolio_management", "region": "US", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "portfolio_constraints": {"initial_equity": 10000.0, "max_positions": 10, "fixed_position_size": 3000.0, "max_gross_leverage": 3.0, "overtrading_rules": ["Max 2 SELL actions per run unless risk event forces more", "Max 2 BUY actions per run", "If no clear improvement vs current holdings, output HOLD for everything"]}, "current_portfolio": [{"symbol": "ADBE_CFD.US", "qty": 12.025494047380446, "avg_price": 249.47, "last_price": 255.35, "unrealized_pnl": 70.70990499859697, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "BIG_CFD.FR", "qty": 0.0, "avg_price": 0.453, "last_price": 0.3, "unrealized_pnl": 0.0, "opened_at": "2026-02-26T18:07:22.382508+00:00"}, {"symbol": "BYIT_CFD.UK", "qty": 10.252904989747094, "avg_price": 292.6, "last_price": 292.6, "unrealized_pnl": 0.0, "opened_at": "2026-02-19T00:47:27.070066+00:00"}, {"symbol": "CCL_CFD.UK", "qty": 1.5416238437821173, "avg_price": 1945.9999999999998, "last_price": 1989.0, "unrealized_pnl": 66.2898252826314, "opened_at": "2026-03-06T18:02:13.212382+00:00"}, {"symbol": "CRWD_CFD.US", "qty": 0.0, "avg_price": 349.425, "last_price": 374.67, "unrealized_pnl": 0.0, "opened_at": "2026-02-24T18:14:37.115518+00:00"}, {"symbol": "ERA_CFD.FR", "qty": 0.0, "avg_price": 47.4, "last_price": 52.1, "unrealized_pnl": 0.0, "opened_at": "2026-02-19T17:33:27.020111+00:00"}, {"symbol": "FICO_CFD.US", "qty": 2.6609662855571625, "avg_price": 1127.4099999999999, "last_price": 1156.785, "unrealized_pnl": 78.16588463824226, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "FUTR_CFD.UK", "qty": 7.488766849725412, "avg_price": 400.6, "last_price": 414.2, "unrealized_pnl": 101.84722915626534, "opened_at": "2026-02-19T00:47:27.070066+00:00"}, {"symbol": "HIK_CFD.UK", "qty": 2.3529411764705883, "avg_price": 1275.0, "last_price": 1224.0, "unrealized_pnl": -120.0, "opened_at": "2026-03-02T10:31:26.559356+00:00"}, {"symbol": "OCDO_CFD.UK", "qty": 13.824884792626728, "avg_price": 217.0, "last_price": 204.3, "unrealized_pnl": -175.5760368663593, "opened_at": "2026-02-16T17:30:52.485845+00:00"}, {"symbol": "PAGE_CFD.UK", "qty": 0.0, "avg_price": 205.8, "last_price": 152.7, "unrealized_pnl": 0.0, "opened_at": "2026-02-21T09:33:26.900894+00:00"}, {"symbol": "RMV_CFD.UK", "qty": 0.0, "avg_price": 424.3, "last_price": 442.6, "unrealized_pnl": 0.0, "opened_at": "2026-02-21T09:33:26.900894+00:00"}, {"symbol": "THG_CFD.UK", "qty": 85.76329331046313, "avg_price": 34.98, "last_price": 34.98, "unrealized_pnl": 0.0, "opened_at": "2026-02-24T18:14:37.115518+00:00"}, {"symbol": "TRST_CFD.UK", "qty": 0.0, "avg_price": 134.3, "last_price": 139.6, "unrealized_pnl": 0.0, "opened_at": "2026-02-16T17:30:52.485845+00:00"}, {"symbol": "TUI1_CFD.DE", "qty": 405.51500405515003, "avg_price": 7.398000000000001, "last_price": 6.76, "unrealized_pnl": -258.71857258718603, "opened_at": "2026-03-02T10:31:26.559356+00:00"}, {"symbol": "XRX_CFD.US", "qty": 0.0, "avg_price": 1.73, "last_price": 1.83, "unrealized_pnl": 0.0, "opened_at": "2026-02-26T18:07:22.382508+00:00"}, {"symbol": "ZS_CFD.US", "qty": 18.778167250876315, "avg_price": 159.76, "last_price": 153.58, "unrealized_pnl": -116.04907361041522, "opened_at": "2026-02-22T17:33:48.338981+00:00"}], "candidates": [], "output_schema": {"actions": {"sell": [{"symbol": "string", "reason": "string"}], "hold": [{"symbol": "string", "reason": "string"}], "buy": [{"symbol": "string", "position_size": "number (currency amount)", "reason": "string"}]}, "portfolio_rationale": "string"}}

{
  "actions": {
    "buy": [],
    "hold": [
      {
        "reason": "Profitable, but below sell threshold to avoid overtrading.",
        "symbol": "ADBE_CFD.US"
      },
      {
        "reason": "Flat PnL, no immediate action required.",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Profitable, but below sell threshold to avoid overtrading.",
        "symbol": "CCL_CFD.UK"
      },
      {
        "reason": "Losing position, holding for potential mean reversion recovery.",
        "symbol": "HIK_CFD.UK"
      },
      {
        "reason": "Losing position, holding for potential mean reversion recovery.",
        "symbol": "OCDO_CFD.UK"
      },
      {
        "reason": "Flat PnL, no immediate action required.",
        "symbol": "THG_CFD.UK"
      },
      {
        "reason": "Losing position, holding for potential mean reversion recovery.",
        "symbol": "TUI1_CFD.DE"
      },
      {
        "reason": "Losing position, holding for potential mean reversion recovery.",
        "symbol": "ZS_CFD.US"
      }
    ],
    "sell": [
      {
        "reason": "Highest unrealized PnL (+$101.85). Executing mean-reversion strategy to lock in gains.",
        "symbol": "FUTR_CFD.UK"
      },
      {
        "reason": "Second highest unrealized PnL (+$78.17). Executing mean-reversion strategy to lock in gains.",
        "symbol": "FICO_CFD.US"
      }
    ]
  },
  "portfolio_rationale": "Strategy is Two-Stage LLM Mean-Reversion. The top two performing positions (FUTR_CFD.UK and FICO_CFD.US) are sold to capture profits as prices have reverted upwards. No buy actions are executed as the candidates list is empty. Remaining positions are held, with losers retained in anticipation of a rebound, consistent with mean-reversion principles."
}

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    "usage": {
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      "is_byok": false,
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        "upstream_inference_cost": 0.0155146,
        "upstream_inference_prompt_cost": 0.0055146,
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      "total_tokens": 13191,
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      "completion_tokens": 4000,
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          "reasoning": "The user wants a JSON output representing a \"stage1_universe_scan\" for a \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy.\n\n**Strategy Rules:**\n*   **Region:** US (Note: The universe provided contains many UK/EU symbols, but the strategy specifies \"region\": \"US\". However, the `universe` list provided in the prompt contains mostly UK and EU CFDs. I must select from the provided universe. If the universe contains non-US symbols, I should probably still evaluate them if they are in the provided list, or perhaps the user expects me to filter. Let's look at the `universe_symbols_us` in the strategy: it's empty. The `universe` list provided in the input is the *actual* universe to scan. I will proceed by scanning the provided universe, regardless of the \"region\": \"US\" setting in the strategy object, as the input data overrides the configuration for this specific run.)\n*   **Target:** Short-term mean reversion in liquid equities.\n*   **Horizon:** 2-10 trading days.\n*   **Constraints:**\n    *   Select exactly 5 candidates.\n    *   Avoid earnings within 5 trading days (if known). (Data is null for most, so I can't filter strictly on this, but I should note it if data exists).\n    *   Avoid highly binary/event-driven moves (if known). (News sentiment is null, headlines are empty. I have to rely on price action).\n    *   Avoid sector concentration: max 1 per sector. (Sector is empty for all. I can't enforce this strictly, but I should try to pick diverse names if possible, or just acknowledge the limitation).\n*   **Selection Logic (Mean Reversion):**\n    *   Look for stocks that have moved significantly away from their mean (MA50 or MA200) and are likely to snap back.\n    *   Or look for extreme volatility followed by a potential pause/reversal.\n    *   Usually, mean reversion involves buying dips or selling rips.\n    *   Given the `change_1d_pct` and `distance_from_ma50_pct`/`distance_from_ma200_pct`:\n        *   High positive distance from MA + high positive 1d change = potential short (sell the rip).\n        *   High negative distance from MA + high negative 1d change = potential long (buy the dip).\n    *   However, \"Two-Stage LLM Mean-Reversion\" often implies looking for extremes.\n    *   Let's look at the data. Most sectors are unknown. Earnings are unknown.\n\n**Analyzing the Universe:**\n\n1.  **WTB_CFD.UK (Whitbread):** +11.66% 1d, Dist MA50: -5%, Dist MA200: -6%. Volatility 87%. It jumped up, but is still below MAs. Maybe a bounce play?\n2.  **JDW_CFD.UK (J D Wetherspoon):** +9.75% 1d, Dist MA50: +5%, Dist MA200: +6%. Volatility 98%. Strong move up, above MAs. Potential Short (mean reversion down).\n3.  **UTG_CFD.UK (Unite Group):** +3.46% 1d, Dist MA50: -3.7%, Dist MA200: -24%. Deeply oversold on MA200, slight bounce. Potential Long (mean reversion up).\n4.  **IWG_CFD.UK (IWG):** -16.57% 1d, Dist MA50: -10.8%, Dist MA200: -4.4%. Big drop. Volatility 135%. Potential Long (catch a falling knife? or avoid?).\n5.  **WIX_CFD.UK (Wickes):** +5.4% 1d, Dist MA50: ~0%, Dist MA200: +7.5%.\n6.  **KGF_CFD.UK (Kingfisher):** +2.6% 1d, Dist MA50: +6.6%, Dist MA200: +18.6%. Extended.\n7.  **DLN_CFD.UK (Derwent London):** +10.4% 1d, Dist MA50: +12%, Dist MA200: +5%. Strong rip. Potential Short.\n8.  **EMG_CFD.UK (Man Group):** +2.35% 1d, Dist MA50: +15.5%, Dist MA200: +42%. Very extended. Potential Short.\n9.  **ABDN_CFD.UK (Aberdeen):** -0.6% 1d, Dist MA50: +3.6%, Dist MA200: +13%.\n10. **ADJ_CFD.DE (Adler Group):** +3.78% 1d, Dist MA50: +0.3%, Dist MA200: -7%. Volatility 289% (Very high).\n11. **VTY_CFD.UK (Vistry Group):** -41.76% 1d, Dist MA50: -33%, Dist MA200: -33%. Massive crash. Volatility 211%. This looks like an event-driven move (earnings or news). Rule: \"Avoid highly binary/event-driven moves\". This is a hard reject.\n12. **BBY_CFD.UK (Balfour Beatty):** +5.22% 1d, Dist MA50: +8.8%, Dist MA200: +33%. Extended. Potential Short.\n13. **XRX_CFD.US (Xerox):** -9.8% 1d, Dist MA50: -26%, Dist MA200: -55%. Very oversold. Potential Long.\n14. **VSVS_CFD.UK (Vesuvius):** -10.35% 1d, Dist MA50: -1.7%, Dist MA200: +13%.\n15. **ITV_CFD.UK (ITV):** +3.9% 1d, Dist MA50: +5.4%, Dist MA200: +7.8%.\n16. **IMI_CFD.UK (IMI):** +4.7% 1d, Dist MA50: +6.6%, Dist MA200: +25%.\n17. **DOM_CFD.UK (Domino's):** +4.1% 1d, Dist MA50: +4.4%, Dist MA200: -12%.\n18. **IPO_CFD.UK (IP Group):** -1.8% 1d, Dist MA50: -2%, Dist MA200: +10%.\n19. **ATG_CFD.UK (Auction Tech):** +4.2% 1d, Dist MA50: -1.1%, Dist MA200: -30%.\n20. **BME_CFD.UK (B&M):** -0.5% 1d, Dist MA50: +3.6%, Dist MA200: -17%.\n21. **GROW_CFD.UK (Molten Ventures):** +1.5% 1d, Dist MA50: -4.2%, Dist MA200: +22%.\n22. **WKP_CFD.UK (Workspace):** +3.6% 1d, Dist MA50: +5.8%, Dist MA200: +1.8%.\n23. **FUTR_CFD.UK (Future):** -20.8% 1d, Dist MA50: -24%, Dist MA200: -37%. Big drop. Potential Long.\n24. **DPLM_CFD.UK (Diploma):** -5.4% 1d, Dist MA50: -4.6%, Dist MA200: +4.8%.\n25. **IGG_CFD.UK (IG Group):** +3.1% 1d, Dist MA50: +9.8%, Dist MA200: +21%.\n26. **HELE_CFD.US (Helen of Troy):** +1.7% 1d, Dist MA50: -7.6%, Dist MA200: -23%. Potential Long.\n27. **WIZZ_CFD.UK (Wizz Air):** -20.5% 1d, Dist MA50: -27%, Dist MA200: -24%. Big drop. Potential Long.\n28. **HMSO_CFD.UK (Hammerson):** +14.1% 1d, Dist MA50: +10%, Dist MA200: +22%. Strong rip. Potential Short.\n29. **BT_CFD.UK (BT Group):** +4.4% 1d, Dist MA50: +12%, Dist MA200: +13%. Strong rip. Potential Short.\n30. **CO_CFD.FR (Casino):** -6.7% 1d, Dist MA50: -21%, Dist MA200: -52%. Distressed. Potential Long.\n31. **WLN_CFD.FR (Worldline):** -73% 1d. Dist MA50: -71%. This is a massive crash. Likely event driven (earnings or fraud/news). Rule: \"Avoid highly binary/event-driven moves\". Hard reject.\n32. **ICG_CFD.UK (ICG):** -13.3% 1d, Dist MA50: -11%, Dist MA200: -15%. Potential Long.\n33. **GRI_CFD.UK (Grainger):** +0.08% 1d, Dist MA50: +0.9%, Dist MA200: -4.9%.\n34. **IHG_CFD.UK (InterContinental):** -7.6% 1d, Dist MA50: -93%, Dist MA200: -98%. This data looks erroneous or a massive corporate action (e.g., share consolidation or spinoff). Volatility 602%. Hard reject due to data quality/event risk.\n35. **WAF_CFD.DE (Siltronic):** +12% 1d, Dist MA50: +7.6%, Dist MA200: +24%. Strong rip. Potential Short.\n36. **AMCX_CFD.US (AMC Networks):** -12% 1d, Dist MA50: -12%, Dist MA200: -8%. Potential Long.\n37. **GMM_CFD.DE (Grammer):** -1.5% 1d, Dist MA50: +1.6%, Dist MA200: +3.4%.\n38. **ASY_CFD.FR (Assystem):** +0.5% 1d, Dist MA50: -4.4%, Dist MA200: -1.4%.\n39. **HBR_CFD.UK (Harbour Energy):** +2.9% 1d, Dist MA50: +27%, Dist MA200: +37%. Very extended. Potential Short.\n40. **GEN_CFD.US (Gen):** -4.6% 1d, Dist MA50: -14%, Dist MA200: -25%. Potential Long.\n41. **BIG_CFD.FR (Bigben):** +4.7% 1d, Dist MA50: -58%, Dist MA200: -71%. Distressed penny stock behavior. Avoid.\n42. **GM_CFD.US (GM):** -4.4% 1d, Dist MA50: -9.9%, Dist MA200: +10%. Potential Long.\n43. **VBK_CFD.DE (Verbio):** +6.4% 1d, Dist MA50: +38%, Dist MA200: +116%. Extremely extended. Potential Short.\n44. **GAW_CFD.UK:** -0.75% 1d, Dist MA50: -1.8%, Dist MA200: +3.4%.\n45. **XFAB_CFD.FR:** +0.5% 1d, Dist MA50: -1.3%, Dist MA200: -17%.\n46. **HAS_CFD.US:** -2.2% 1d, Dist MA50: +0.3%, Dist MA200: +16%.\n47. **IAC_CFD.US:** +3% 1d, Dist MA50: +2%, Dist MA200: +5%.\n48. **DGE_CFD.UK (Diageo):** -2.4% 1d, Dist MA50: -12%, Dist MA200: -18%. Potential Long.\n49. **CRST_CFD.UK (Crest Nicholson):** +25% 1d, Dist MA50: +18%, Dist MA200: +2%. Huge spike. Potential Short.\n\n**Selection Strategy (Mean Reversion):**\n\nI need 5 candidates. I need a mix of potential Longs (oversold) and Shorts (overbought) to balance the portfolio, or just the best 5 setups based on distance from mean and recent move.\n\n*   **Short Candidates (Overbought/Rips):**\n    *   **VBK_CFD.DE (Verbio):** Dist MA50 +38%, Dist MA200 +116%. +6.4% today. Very extended. High risk but strong mean reversion signal.\n    *   **HBR_CFD.UK (Harbour Energy):** Dist MA50 +27%, Dist MA200 +37%. +2.9% today.\n    *   **EMG_CFD.UK (Man Group):** Dist MA50 +15%, Dist MA200 +42%.\n    *   **CRST_CFD.UK (Crest Nicholson):** +25% 1d is huge. Dist MA50 +18%.\n    *   **HMSO_CFD.UK (Hammerson):** +14% 1d. Dist MA50 +10%.\n    *   **WAF_CFD.DE (Siltronic):** +12% 1d. Dist MA50 +7.6%.\n    *   **BT_CFD.UK:** Dist MA50 +12%.\n\n*   **Long Candidates (Oversold/Dips):**\n    *   **XRX_CFD.US (Xerox):** Dist MA50 -26%, Dist MA200 -55%. -9.8% today. Deeply oversold.\n    *   **WIZZ_CFD.UK (Wizz Air):** Dist MA50 -27%, Dist MA200 -24%. -20.5% today. Big drop.\n    *   **FUTR_CFD.UK (Future):** Dist MA50 -24%, Dist MA200 -37%. -20.8% today.\n    *   **CO_CFD.FR (Casino):** Dist MA50 -21%, Dist MA200 -52%. -6.7% today.\n    *   **ICG_CFD.UK (ICG):** Dist MA50 -11%, Dist MA200 -15%. -13% today.\n    *   **AMCX_CFD.US (AMC):** Dist MA50 -12%, Dist MA200 -8%. -12% today.\n    *   **HELE_CFD.US (Helen of Troy):** Dist MA50 -7.6%, Dist MA200 -23%.\n\n**Filtering:**\n\n1.  **VTY_CFD.UK:** Rejected (Event driven, -41%).\n2.  **WLN_CFD.FR:** Rejected (Event driven, -73%).\n3.  **IHG_CFD.UK:** Rejected (Data anomaly/event, -93% MA50).\n4.  **BIG_CFD.FR:** Rejected (Penny stock erratic behavior).\n\n**Top 5 Selection:**\n\n1.  **VBK_CFD.DE (Verbio):** Strong short candidate. Extremely extended from MAs (+116% from MA200). Volatility is high (108%) but manageable compared to the rejected ones.\n2.  **XRX_CFD.US (Xerox):** Strong long candidate. Deeply oversold (-55% from MA200). Recent drop -9.8%. US stock (matches region preference if applicable, though not strictly enforced).\n3.  **WIZZ_CFD.UK (Wizz Air):** Strong long candidate. -20% drop, -27% from MA50. High volatility (174%) but fits mean reversion \"buy the dip\".\n4.  **CRST_CFD.UK (Crest Nicholson):** Strong short candidate. +25% single day move. Dist MA50 +18%. Likely to pull back.\n5.  **FUTR_CFD.UK (Future):** Strong long candidate. -20% drop. Dist MA50 -24%.\n\n*Alternative consideration:* **HMSO_CFD.UK** (+14%) vs **CRST** (+25%). CRST is more extreme. **WAF_CFD.DE** (+12%) is also good but CRST is stronger.\n*Alternative consideration:* **EMG_CFD.UK** is extended, but VBK is more extended.\n*Alternative consideration:* **CO_CFD.FR** is very distressed (-52% MA200), but WIZZ and FUTR have sharper recent moves which might be better for 2-10 day horizon.\n\n**Selected List:**\n1.  **VBK_CFD.DE** (Short) - Extreme extension.\n2.  **XRX_CFD.US** (Long) - Deep oversold.\n3.  **CRST_CFD.UK** (Short) - Extreme daily rip.\n4.  **WIZZ_CFD.UK** (Long) - Sharp drop.\n5.  **FUTR_CFD.UK** (Long) - Sharp drop.\n\nLet's check sectors. Unknown for all. I can't enforce the rule, but I will assume they are diverse enough (German Bioenergy vs US Tech vs UK Construction vs UK Airline vs UK Media).\n\n**Refining the selection reasons:**\n*   VBK: Extended +116% from MA200, +38% from MA50. High probability of mean reversion down.\n*   XRX: Oversold -55% from MA200, -26% from MA50. Bounce potential.\n*   CRST: +25% 1-day move, +18% above MA50. Overextended.\n*   WIZZ: -20% 1-day move, -27% below MA50. Oversold bounce.\n*   FUTR: -20% 1-day move, -24% below MA50. Oversold bounce.\n\nWait, I need to make sure I don't pick 3 longs and 2 shorts if the strategy implies a specific balance? The strategy says \"Two-Stage",
          "reasoning_details": [
            {
              "text": "The user wants a JSON output representing a \"stage1_universe_scan\" for a \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy.\n\n**Strategy Rules:**\n*   **Region:** US (Note: The universe provided contains many UK/EU symbols, but the strategy specifies \"region\": \"US\". However, the `universe` list provided in the prompt contains mostly UK and EU CFDs. I must select from the provided universe. If the universe contains non-US symbols, I should probably still evaluate them if they are in the provided list, or perhaps the user expects me to filter. Let's look at the `universe_symbols_us` in the strategy: it's empty. The `universe` list provided in the input is the *actual* universe to scan. I will proceed by scanning the provided universe, regardless of the \"region\": \"US\" setting in the strategy object, as the input data overrides the configuration for this specific run.)\n*   **Target:** Short-term mean reversion in liquid equities.\n*   **Horizon:** 2-10 trading days.\n*   **Constraints:**\n    *   Select exactly 5 candidates.\n    *   Avoid earnings within 5 trading days (if known). (Data is null for most, so I can't filter strictly on this, but I should note it if data exists).\n    *   Avoid highly binary/event-driven moves (if known). (News sentiment is null, headlines are empty. I have to rely on price action).\n    *   Avoid sector concentration: max 1 per sector. (Sector is empty for all. I can't enforce this strictly, but I should try to pick diverse names if possible, or just acknowledge the limitation).\n*   **Selection Logic (Mean Reversion):**\n    *   Look for stocks that have moved significantly away from their mean (MA50 or MA200) and are likely to snap back.\n    *   Or look for extreme volatility followed by a potential pause/reversal.\n    *   Usually, mean reversion involves buying dips or selling rips.\n    *   Given the `change_1d_pct` and `distance_from_ma50_pct`/`distance_from_ma200_pct`:\n        *   High positive distance from MA + high positive 1d change = potential short (sell the rip).\n        *   High negative distance from MA + high negative 1d change = potential long (buy the dip).\n    *   However, \"Two-Stage LLM Mean-Reversion\" often implies looking for extremes.\n    *   Let's look at the data. Most sectors are unknown. Earnings are unknown.\n\n**Analyzing the Universe:**\n\n1.  **WTB_CFD.UK (Whitbread):** +11.66% 1d, Dist MA50: -5%, Dist MA200: -6%. Volatility 87%. It jumped up, but is still below MAs. Maybe a bounce play?\n2.  **JDW_CFD.UK (J D Wetherspoon):** +9.75% 1d, Dist MA50: +5%, Dist MA200: +6%. Volatility 98%. Strong move up, above MAs. Potential Short (mean reversion down).\n3.  **UTG_CFD.UK (Unite Group):** +3.46% 1d, Dist MA50: -3.7%, Dist MA200: -24%. Deeply oversold on MA200, slight bounce. Potential Long (mean reversion up).\n4.  **IWG_CFD.UK (IWG):** -16.57% 1d, Dist MA50: -10.8%, Dist MA200: -4.4%. Big drop. Volatility 135%. Potential Long (catch a falling knife? or avoid?).\n5.  **WIX_CFD.UK (Wickes):** +5.4% 1d, Dist MA50: ~0%, Dist MA200: +7.5%.\n6.  **KGF_CFD.UK (Kingfisher):** +2.6% 1d, Dist MA50: +6.6%, Dist MA200: +18.6%. Extended.\n7.  **DLN_CFD.UK (Derwent London):** +10.4% 1d, Dist MA50: +12%, Dist MA200: +5%. Strong rip. Potential Short.\n8.  **EMG_CFD.UK (Man Group):** +2.35% 1d, Dist MA50: +15.5%, Dist MA200: +42%. Very extended. Potential Short.\n9.  **ABDN_CFD.UK (Aberdeen):** -0.6% 1d, Dist MA50: +3.6%, Dist MA200: +13%.\n10. **ADJ_CFD.DE (Adler Group):** +3.78% 1d, Dist MA50: +0.3%, Dist MA200: -7%. Volatility 289% (Very high).\n11. **VTY_CFD.UK (Vistry Group):** -41.76% 1d, Dist MA50: -33%, Dist MA200: -33%. Massive crash. Volatility 211%. This looks like an event-driven move (earnings or news). Rule: \"Avoid highly binary/event-driven moves\". This is a hard reject.\n12. **BBY_CFD.UK (Balfour Beatty):** +5.22% 1d, Dist MA50: +8.8%, Dist MA200: +33%. Extended. Potential Short.\n13. **XRX_CFD.US (Xerox):** -9.8% 1d, Dist MA50: -26%, Dist MA200: -55%. Very oversold. Potential Long.\n14. **VSVS_CFD.UK (Vesuvius):** -10.35% 1d, Dist MA50: -1.7%, Dist MA200: +13%.\n15. **ITV_CFD.UK (ITV):** +3.9% 1d, Dist MA50: +5.4%, Dist MA200: +7.8%.\n16. **IMI_CFD.UK (IMI):** +4.7% 1d, Dist MA50: +6.6%, Dist MA200: +25%.\n17. **DOM_CFD.UK (Domino's):** +4.1% 1d, Dist MA50: +4.4%, Dist MA200: -12%.\n18. **IPO_CFD.UK (IP Group):** -1.8% 1d, Dist MA50: -2%, Dist MA200: +10%.\n19. **ATG_CFD.UK (Auction Tech):** +4.2% 1d, Dist MA50: -1.1%, Dist MA200: -30%.\n20. **BME_CFD.UK (B&M):** -0.5% 1d, Dist MA50: +3.6%, Dist MA200: -17%.\n21. **GROW_CFD.UK (Molten Ventures):** +1.5% 1d, Dist MA50: -4.2%, Dist MA200: +22%.\n22. **WKP_CFD.UK (Workspace):** +3.6% 1d, Dist MA50: +5.8%, Dist MA200: +1.8%.\n23. **FUTR_CFD.UK (Future):** -20.8% 1d, Dist MA50: -24%, Dist MA200: -37%. Big drop. Potential Long.\n24. **DPLM_CFD.UK (Diploma):** -5.4% 1d, Dist MA50: -4.6%, Dist MA200: +4.8%.\n25. **IGG_CFD.UK (IG Group):** +3.1% 1d, Dist MA50: +9.8%, Dist MA200: +21%.\n26. **HELE_CFD.US (Helen of Troy):** +1.7% 1d, Dist MA50: -7.6%, Dist MA200: -23%. Potential Long.\n27. **WIZZ_CFD.UK (Wizz Air):** -20.5% 1d, Dist MA50: -27%, Dist MA200: -24%. Big drop. Potential Long.\n28. **HMSO_CFD.UK (Hammerson):** +14.1% 1d, Dist MA50: +10%, Dist MA200: +22%. Strong rip. Potential Short.\n29. **BT_CFD.UK (BT Group):** +4.4% 1d, Dist MA50: +12%, Dist MA200: +13%. Strong rip. Potential Short.\n30. **CO_CFD.FR (Casino):** -6.7% 1d, Dist MA50: -21%, Dist MA200: -52%. Distressed. Potential Long.\n31. **WLN_CFD.FR (Worldline):** -73% 1d. Dist MA50: -71%. This is a massive crash. Likely event driven (earnings or fraud/news). Rule: \"Avoid highly binary/event-driven moves\". Hard reject.\n32. **ICG_CFD.UK (ICG):** -13.3% 1d, Dist MA50: -11%, Dist MA200: -15%. Potential Long.\n33. **GRI_CFD.UK (Grainger):** +0.08% 1d, Dist MA50: +0.9%, Dist MA200: -4.9%.\n34. **IHG_CFD.UK (InterContinental):** -7.6% 1d, Dist MA50: -93%, Dist MA200: -98%. This data looks erroneous or a massive corporate action (e.g., share consolidation or spinoff). Volatility 602%. Hard reject due to data quality/event risk.\n35. **WAF_CFD.DE (Siltronic):** +12% 1d, Dist MA50: +7.6%, Dist MA200: +24%. Strong rip. Potential Short.\n36. **AMCX_CFD.US (AMC Networks):** -12% 1d, Dist MA50: -12%, Dist MA200: -8%. Potential Long.\n37. **GMM_CFD.DE (Grammer):** -1.5% 1d, Dist MA50: +1.6%, Dist MA200: +3.4%.\n38. **ASY_CFD.FR (Assystem):** +0.5% 1d, Dist MA50: -4.4%, Dist MA200: -1.4%.\n39. **HBR_CFD.UK (Harbour Energy):** +2.9% 1d, Dist MA50: +27%, Dist MA200: +37%. Very extended. Potential Short.\n40. **GEN_CFD.US (Gen):** -4.6% 1d, Dist MA50: -14%, Dist MA200: -25%. Potential Long.\n41. **BIG_CFD.FR (Bigben):** +4.7% 1d, Dist MA50: -58%, Dist MA200: -71%. Distressed penny stock behavior. Avoid.\n42. **GM_CFD.US (GM):** -4.4% 1d, Dist MA50: -9.9%, Dist MA200: +10%. Potential Long.\n43. **VBK_CFD.DE (Verbio):** +6.4% 1d, Dist MA50: +38%, Dist MA200: +116%. Extremely extended. Potential Short.\n44. **GAW_CFD.UK:** -0.75% 1d, Dist MA50: -1.8%, Dist MA200: +3.4%.\n45. **XFAB_CFD.FR:** +0.5% 1d, Dist MA50: -1.3%, Dist MA200: -17%.\n46. **HAS_CFD.US:** -2.2% 1d, Dist MA50: +0.3%, Dist MA200: +16%.\n47. **IAC_CFD.US:** +3% 1d, Dist MA50: +2%, Dist MA200: +5%.\n48. **DGE_CFD.UK (Diageo):** -2.4% 1d, Dist MA50: -12%, Dist MA200: -18%. Potential Long.\n49. **CRST_CFD.UK (Crest Nicholson):** +25% 1d, Dist MA50: +18%, Dist MA200: +2%. Huge spike. Potential Short.\n\n**Selection Strategy (Mean Reversion):**\n\nI need 5 candidates. I need a mix of potential Longs (oversold) and Shorts (overbought) to balance the portfolio, or just the best 5 setups based on distance from mean and recent move.\n\n*   **Short Candidates (Overbought/Rips):**\n    *   **VBK_CFD.DE (Verbio):** Dist MA50 +38%, Dist MA200 +116%. +6.4% today. Very extended. High risk but strong mean reversion signal.\n    *   **HBR_CFD.UK (Harbour Energy):** Dist MA50 +27%, Dist MA200 +37%. +2.9% today.\n    *   **EMG_CFD.UK (Man Group):** Dist MA50 +15%, Dist MA200 +42%.\n    *   **CRST_CFD.UK (Crest Nicholson):** +25% 1d is huge. Dist MA50 +18%.\n    *   **HMSO_CFD.UK (Hammerson):** +14% 1d. Dist MA50 +10%.\n    *   **WAF_CFD.DE (Siltronic):** +12% 1d. Dist MA50 +7.6%.\n    *   **BT_CFD.UK:** Dist MA50 +12%.\n\n*   **Long Candidates (Oversold/Dips):**\n    *   **XRX_CFD.US (Xerox):** Dist MA50 -26%, Dist MA200 -55%. -9.8% today. Deeply oversold.\n    *   **WIZZ_CFD.UK (Wizz Air):** Dist MA50 -27%, Dist MA200 -24%. -20.5% today. Big drop.\n    *   **FUTR_CFD.UK (Future):** Dist MA50 -24%, Dist MA200 -37%. -20.8% today.\n    *   **CO_CFD.FR (Casino):** Dist MA50 -21%, Dist MA200 -52%. -6.7% today.\n    *   **ICG_CFD.UK (ICG):** Dist MA50 -11%, Dist MA200 -15%. -13% today.\n    *   **AMCX_CFD.US (AMC):** Dist MA50 -12%, Dist MA200 -8%. -12% today.\n    *   **HELE_CFD.US (Helen of Troy):** Dist MA50 -7.6%, Dist MA200 -23%.\n\n**Filtering:**\n\n1.  **VTY_CFD.UK:** Rejected (Event driven, -41%).\n2.  **WLN_CFD.FR:** Rejected (Event driven, -73%).\n3.  **IHG_CFD.UK:** Rejected (Data anomaly/event, -93% MA50).\n4.  **BIG_CFD.FR:** Rejected (Penny stock erratic behavior).\n\n**Top 5 Selection:**\n\n1.  **VBK_CFD.DE (Verbio):** Strong short candidate. Extremely extended from MAs (+116% from MA200). Volatility is high (108%) but manageable compared to the rejected ones.\n2.  **XRX_CFD.US (Xerox):** Strong long candidate. Deeply oversold (-55% from MA200). Recent drop -9.8%. US stock (matches region preference if applicable, though not strictly enforced).\n3.  **WIZZ_CFD.UK (Wizz Air):** Strong long candidate. -20% drop, -27% from MA50. High volatility (174%) but fits mean reversion \"buy the dip\".\n4.  **CRST_CFD.UK (Crest Nicholson):** Strong short candidate. +25% single day move. Dist MA50 +18%. Likely to pull back.\n5.  **FUTR_CFD.UK (Future):** Strong long candidate. -20% drop. Dist MA50 -24%.\n\n*Alternative consideration:* **HMSO_CFD.UK** (+14%) vs **CRST** (+25%). CRST is more extreme. **WAF_CFD.DE** (+12%) is also good but CRST is stronger.\n*Alternative consideration:* **EMG_CFD.UK** is extended, but VBK is more extended.\n*Alternative consideration:* **CO_CFD.FR** is very distressed (-52% MA200), but WIZZ and FUTR have sharper recent moves which might be better for 2-10 day horizon.\n\n**Selected List:**\n1.  **VBK_CFD.DE** (Short) - Extreme extension.\n2.  **XRX_CFD.US** (Long) - Deep oversold.\n3.  **CRST_CFD.UK** (Short) - Extreme daily rip.\n4.  **WIZZ_CFD.UK** (Long) - Sharp drop.\n5.  **FUTR_CFD.UK** (Long) - Sharp drop.\n\nLet's check sectors. Unknown for all. I can't enforce the rule, but I will assume they are diverse enough (German Bioenergy vs US Tech vs UK Construction vs UK Airline vs UK Media).\n\n**Refining the selection reasons:**\n*   VBK: Extended +116% from MA200, +38% from MA50. High probability of mean reversion down.\n*   XRX: Oversold -55% from MA200, -26% from MA50. Bounce potential.\n*   CRST: +25% 1-day move, +18% above MA50. Overextended.\n*   WIZZ: -20% 1-day move, -27% below MA50. Oversold bounce.\n*   FUTR: -20% 1-day move, -24% below MA50. Oversold bounce.\n\nWait, I need to make sure I don't pick 3 longs and 2 shorts if the strategy implies a specific balance? The strategy says \"Two-Stage",
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    "created": 1773685383,
    "provider": "NextBit",
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