Arena run #918

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": "EU", "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": "CRST_CFD.UK", "name": "CREST NICHOLSON HOLDINGS", "sector": "", "last_price": 167.8, "change_1d_pct": 24.85119047619049, "distance_from_ma200_pct": 1.2720261375977815, "distance_from_ma50_pct": 17.82963155418549, "volatility_20d_pct": 158.46878099582966, "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": "MSLH_CFD.UK", "name": "MARSHALLS PLC", "sector": "", "last_price": 179.0, "change_1d_pct": 2.052451539338662, "distance_from_ma200_pct": -18.41965657865713, "distance_from_ma50_pct": 4.539832012082234, "volatility_20d_pct": 102.90810964969117, "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": "MCG_CFD.UK", "name": "MOBICO GROUP PLC", "sector": "", "last_price": 23.88, "change_1d_pct": -4.250200481154776, "distance_from_ma200_pct": -13.633157923289751, "distance_from_ma50_pct": 0.9358119246278163, "volatility_20d_pct": 236.12122528317374, "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": "BOY_CFD.UK", "name": "BODYCOTE PLC", "sector": "", "last_price": 775.4, "change_1d_pct": 24.163330664531625, "distance_from_ma200_pct": 28.652243313347768, "distance_from_ma50_pct": 18.63612217470385, "volatility_20d_pct": 103.46484337510964, "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": "LMP_CFD.UK", "name": "LONDONMETRIC PROPERTY PLC", "sector": "", "last_price": 214.0, "change_1d_pct": 11.57455683003128, "distance_from_ma200_pct": 12.507879494597773, "distance_from_ma50_pct": 10.77384329331672, "volatility_20d_pct": 54.89150861607771, "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": "SPX_CFD.UK", "name": "SPIRAX-SARCO ENGINEERING PLC", "sector": "", "last_price": 7608.71, "change_1d_pct": 10.91413994169097, "distance_from_ma200_pct": 15.905097055024719, "distance_from_ma50_pct": 8.459177525660632, "volatility_20d_pct": 84.71063298478786, "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": "PAGE_CFD.UK", "name": "PAGEGROUP PLC", "sector": "", "last_price": 152.7, "change_1d_pct": -36.79635761589404, "distance_from_ma200_pct": -40.61156091058385, "distance_from_ma50_pct": -31.72721647345812, "volatility_20d_pct": 193.22753953431183, "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": "ESNT_CFD.UK", "name": "ESSENTRA PLC", "sector": "", "last_price": 108.4, "change_1d_pct": 4.230769230769238, "distance_from_ma200_pct": 7.40452119530135, "distance_from_ma50_pct": 9.771484932749797, "volatility_20d_pct": 98.9832071461764, "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": "SHC_CFD.UK", "name": "SHAFTESBURY CAPITAL PLC", "sector": "", "last_price": 140.4, "change_1d_pct": -2.9045643153526868, "distance_from_ma200_pct": 0.26963533347688085, "distance_from_ma50_pct": -0.771073778544229, "volatility_20d_pct": 63.75522821252001, "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": "PAG_CFD.UK", "name": "PARAGON BANKING GROUP PLC", "sector": "", "last_price": 852.5, "change_1d_pct": -3.399433427762044, "distance_from_ma200_pct": -1.3404962254783492, "distance_from_ma50_pct": 0.699141440891915, "volatility_20d_pct": 71.52779356208148, "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": "INVP_CFD.UK", "name": "INVESTEC PLC", "sector": "", "last_price": 623.5, "change_1d_pct": 8.529155787641418, "distance_from_ma200_pct": 17.34715626999408, "distance_from_ma50_pct": 9.569618971869698, "volatility_20d_pct": 76.97154585310399, "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": "SAFE_CFD.UK", "name": "SAFESTORE HOLDINGS PLC", "sector": 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"last_price": 372.74, "change_1d_pct": -26.625984251968504, "distance_from_ma200_pct": -13.365429078084645, "distance_from_ma50_pct": -22.129222788055436, "volatility_20d_pct": 169.0552301316783, "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": "TPK_CFD.UK", "name": "TRAVIS PERKINS PLC", "sector": "", "last_price": 601.57, "change_1d_pct": -1.21029986533977, "distance_from_ma200_pct": 0.5267641208837714, "distance_from_ma50_pct": -4.983077425595306, "volatility_20d_pct": 108.19399806448348, "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": "", 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"distance_from_ma200_pct": -1.8378243844316744, "distance_from_ma50_pct": -10.974869814433564, "volatility_20d_pct": 90.32554714918702, "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": "SYNT_CFD.UK", "name": "SYNTHOMER PLC", "sector": "", "last_price": 35.8, "change_1d_pct": 79.17917917917916, "distance_from_ma200_pct": -51.1200405785585, "distance_from_ma50_pct": -25.007017499759108, "volatility_20d_pct": 569.2067525949132, "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": "FII_CFD.FR", "name": "Lisi Group", "sector": "", "last_price": 51.8, "change_1d_pct": -0.38461538461539435, "distance_from_ma200_pct": 7.480575427761815, "distance_from_ma50_pct": -5.6333948477291, "volatility_20d_pct": 93.12522215333232, "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": "WKP_CFD.UK", "name": "WORKSPACE GROUP PLC", "sector": "", "last_price": 423.0, "change_1d_pct": 3.6764705882353033, "distance_from_ma200_pct": 1.8640028868691871, "distance_from_ma50_pct": 5.808194506978848, "volatility_20d_pct": 70.2233148398582, "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": "HIK_CFD.UK", "name": "HIKMA PHARMACEUTICALS PLC", "sector": "", "last_price": 1267.0, "change_1d_pct": -19.55555555555556, "distance_from_ma200_pct": -28.881851790845626, "distance_from_ma50_pct": -15.711709832205766, "volatility_20d_pct": 155.5956600941246, "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": "ATG_CFD.UK", "name": "AUCTION TECHNOLOGY GROUP", "sector": "", "last_price": 326.5, "change_1d_pct": 12.006861063464846, "distance_from_ma200_pct": -24.987260470422935, "distance_from_ma50_pct": 5.84429056770146, "volatility_20d_pct": 172.45012969704524, "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": "COTY_CFD.US", "name": "Coty Inc", "sector": "", "last_price": 2.05, "change_1d_pct": -3.7558685446009377, "distance_from_ma200_pct": -45.233292814875185, "distance_from_ma50_pct": -22.100623195014435, "volatility_20d_pct": 76.36828551252826, "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": "UKW_CFD.UK", "name": "GREENCOAT UK WIND PLC", "sector": "", "last_price": 100.7, "change_1d_pct": 1.6658253407370038, "distance_from_ma200_pct": -9.705655680854775, "distance_from_ma50_pct": -2.946868470357833, "volatility_20d_pct": 63.21786303082545, "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": "HMSO_CFD.UK", "name": "HAMMERSON PLC", "sector": "", "last_price": 355.4, "change_1d_pct": 14.129736673089276, "distance_from_ma200_pct": 22.516025502913806, "distance_from_ma50_pct": 10.006914897239172, "volatility_20d_pct": 87.54938293511039, "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": "HYQ_CFD.DE", "name": "HYPOPORT SE", "sector": "", "last_price": 71.617, "change_1d_pct": -8.53512132822477, "distance_from_ma200_pct": -47.20693489030992, "distance_from_ma50_pct": -19.13131515243628, "volatility_20d_pct": 123.23681689318084, "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": "NVAX_CFD.US", "name": "NOVAVAX INC", "sector": "", "last_price": 8.61, "change_1d_pct": -10.68464730290457, "distance_from_ma200_pct": 7.390753918016313, "distance_from_ma50_pct": -8.001025772534954, "volatility_20d_pct": 178.31142153329148, "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": "SAVE_CFD.FR", "name": "Savencia SA", "sector": "", "last_price": 59.6, "change_1d_pct": 2.082762400657723, "distance_from_ma200_pct": -2.7499570859709888, "distance_from_ma50_pct": -0.39214742496987975, "volatility_20d_pct": 60.38214199106066, "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"}], 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          "reasoning": "The user wants me to act as an Arena strategy executor.\nThe task is `stage1_universe_scan`.\nThe region is `EU`.\nThe strategy is `meanrev-v1` (Two-Stage LLM Mean-Reversion).\nThe goal is to select exactly 5 candidates for short-term mean reversion in liquid equities.\nConstraints:\n- Max 1 per sector (though sector info is missing in the data, so I have to be careful or assume diversity if possible, but I can't filter by sector if it's empty).\n- Avoid earnings within 5 days (data is null, so I can't filter this).\n- Avoid binary/event-driven moves (hard to detect without news, but extreme 1-day changes might indicate this).\n- Select exactly 5 candidates.\n\nStrategy Logic (Mean Reversion):\n- Look for stocks that have moved significantly away from their mean (e.g., MA50 or MA200) and are likely to snap back.\n- Usually, this means buying oversold stocks (price far below MA) or shorting overbought stocks (price far above MA).\n- However, \"mean reversion\" in this context often implies looking for extreme deviations.\n- The prompt asks for \"short-term mean reversion\".\n- I need to calculate a `mean_reversion_score` (0-100) and provide a `selection_reason`.\n\nData Analysis:\nThe universe contains ~50 stocks.\nFields available: `symbol`, `name`, `last_price`, `change_1d_pct`, `distance_from_ma200_pct`, `distance_from_ma50_pct`, `volatility_20d_pct`.\nSector is empty for all, so I cannot enforce the sector constraint strictly, but I should try to pick diverse names if I recognize them, or just ignore the constraint since it's impossible to fulfill with the provided data (treating it as unknown).\n\nCandidates for Mean Reversion:\n1.  **Overbought (Short candidates):** High positive distance from MA50/MA200.\n    -   `SYNT_CFD.UK`: Change +79%, Dist MA200 -51% (Wait, this is weird. Price up 79% but distance from MA200 is -51%? Maybe the MA200 is way above? Or maybe the data is noisy. Let's look at others).\n    -   `CRST_CFD.UK`: Change +24.8%, Dist MA50 +17.8%, Dist MA200 +1.2%. Volatility 158%. High volatility suggests potential snap back.\n    -   `BOY_CFD.UK`: Change +24.1%, Dist MA50 +18.6%, Dist MA200 +28.6%. Strong overbought signal.\n    -   `LMP_CFD.UK`: Change +11.5%, Dist MA50 +10.7%, Dist MA200 +12.5%.\n    -   `SPX_CFD.UK`: Change +10.9%, Dist MA50 +8.4%, Dist MA200 +15.9%.\n    -   `MAB_CFD.UK`: Change +14.3%, Dist MA50 +10.9%, Dist MA200 +11.5%.\n    -   `HMSO_CFD.UK`: Change +14.1%, Dist MA50 +10.0%, Dist MA200 +22.5%.\n    -   `ATG_CFD.UK`: Change +12.0%, Dist MA50 +5.8%, Dist MA200 -24.9%.\n\n2.  **Oversold (Long candidates):** High negative distance from MA50/MA200.\n    -   `PAGE_CFD.UK`: Change -36.8%, Dist MA50 -31.7%, Dist MA200 -40.6%. Massive drop. High volatility (193%). Potential bounce candidate.\n    -   `IWG_CFD.UK`: Change -26.7%, Dist MA50 -22.1%, Dist MA200 -17.6%.\n    -   `CBG_CFD.UK`: Change -26.6%, Dist MA50 -22.1%, Dist MA200 -13.3%.\n    -   `OCDO_CFD.UK`: Change -21.1%, Dist MA50 -5.4%, Dist MA200 -15.8%. High volatility (241%).\n    -   `KGF_CFD.UK`: Change -16.5%, Dist MA50 -8.1%, Dist MA200 +1.7%.\n    -   `PSN_CFD.UK`: Change -18.1%, Dist MA50 -17.6%, Dist MA200 -10.4%.\n    -   `HIK_CFD.UK`: Change -19.5%, Dist MA50 -15.7%, Dist MA200 -28.8%.\n    -   `OSB_CFD.UK`: Change -16.2%, Dist MA50 -10.9%, Dist MA200 -1.8%.\n    -   `COTY_CFD.US`: Change -3.7%, Dist MA50 -22.1%, Dist MA200 -45.2%. (Note: Region is EU, but US stocks are in the list? The prompt says region \"EU\", but the universe has `_CFD.US` and `_CFD.FR` and `_CFD.DE`. I should probably prioritize EU/UK/DE/FR symbols. `COTY_CFD.US` is US. `MRNA_CFD.US` is US. `NVAX_CFD.US` is US. I will stick to UK/EU suffixes unless the US ones are exceptional, but the prompt says region \"EU\". I will exclude US symbols to be safe).\n    -   `HYQ_CFD.DE`: Change -8.5%, Dist MA50 -19.1%, Dist MA200 -47.2%. This looks very oversold.\n\nSelection Strategy:\nI need 5 candidates. I will mix oversold and overbought, or focus on the most extreme deviations.\nLet's look at the most extreme deviations.\n\n1.  **PAGE_CFD.UK**: -36.8% 1-day change. Dist MA50 -31.7%. This is a massive crash. High volatility. Good candidate for a dead cat bounce (Long).\n2.  **BOY_CFD.UK**: +24.1% 1-day change. Dist MA50 +18.6%, MA200 +28.6%. Strong spike. Good candidate for a pullback (Short).\n3.  **IWG_CFD.UK**: -26.7% 1-day change. Dist MA50 -22.1%. Similar to PAGE. (Long).\n4.  **CBG_CFD.UK**: -26.6% 1-day change. Dist MA50 -22.1%. (Long).\n5.  **CRST_CFD.UK**: +24.8% 1-day change. Dist MA50 +17.8%. (Short).\n6.  **SYNT_CFD.UK**: +79% 1-day change. This is huge. However, Dist MA200 is -51%. This suggests the price might have jumped from a very low base or the MA is lagging heavily. Or it's a data error. The volatility is 569%. This is extremely risky/binary. \"Avoid highly binary/event-driven moves\". A 79% jump is likely event-driven. I will exclude SYNT.\n7.  **HYQ_CFD.DE**: Dist MA200 -47.2%. Dist MA50 -19.1%. 1-day change -8.5%. This is a steady decline, very oversold relative to 200MA. (Long).\n8.  **PSN_CFD.UK**: -18.1% 1-day change. Dist MA50 -17.6%. (Long).\n9.  **HMSO_CFD.UK**: +14.1% 1-day change. Dist MA200 +22.5%. (Short).\n\nLet's pick 5.\nI need a mix to balance the portfolio if possible, or just the strongest signals.\nStrongest signals (Extreme 1-day moves + Extreme MA deviation):\n\n1.  **PAGE_CFD.UK** (Long): -36.8% day, -31.7% MA50. Extreme oversold.\n2.  **BOY_CFD.UK** (Short): +24.1% day, +28.6% MA200. Extreme overbought.\n3.  **IWG_CFD.UK** (Long): -26.7% day, -22.1% MA50. Extreme oversold.\n4.  **CRST_CFD.UK** (Short): +24.8% day, +17.8% MA50. Extreme overbought.\n5.  **CBG_CFD.UK** (Long): -26.6% day, -22.1% MA50. Extreme oversold.\n\nWait, PAGE, IWG, and CBG are all UK stocks with similar drops. Are they in the same sector?\n- PAGE: Pagegroup (Recruitment/Staffing)\n- IWG: IWG (Flexible workspace/Real Estate)\n- CBG: Close Brothers (Financial Services/Banking)\n- CRST: Crest Nicholson (Housebuilding)\n- BOY: Bodycote (Thermal processing/Industrial)\n\nSectors seem distinct enough (Recruitment, RE, Finance, Housing, Industrial).\nSo PAGE, IWG, CBG, CRST, BOY seem like a good set of 5.\n\nLet's check **HYQ_CFD.DE** (Hypoport). Dist MA200 -47%. 1-day change -8.5%. It's a German stock (EU region). It's very oversold. Maybe replace one of the UK ones to get some EU diversity?\nThe prompt says region \"EU\". UK is often treated separately or included depending on the definition, but usually \"EU\" implies Continental Europe in financial contexts, or UK+EU. The universe list has `_CFD.UK`, `_CFD.DE`, `_CFD.FR`.\nLet's look at the strategy rules again. `region`: \"EU\".\nIf I strictly follow \"EU\", I should prioritize DE/FR. But the universe is dominated by UK stocks.\nLet's look at the universe symbols provided in the prompt.\n`universe_symbols_eu`: [], `universe_symbols_us`: [].\nThe `universe` list provided contains UK, DE, FR, US.\nSince the task is `stage1_universe_scan` and the region is `EU`, I should probably select from the available list which seems to be the \"universe\" provided for this specific run. The list contains UK, DE, FR. I will assume UK is acceptable or the \"EU\" label is broad. However, to be safe and diverse, I will include HYQ (DE) if it fits well.\n\nLet's re-evaluate the top 5 based on Mean Reversion Score.\nScore calculation logic (heuristic):\n- Absolute distance from MA50 (higher is better for mean reversion).\n- Absolute 1-day change (higher is better, indicates overreaction).\n- Volatility (moderate to high is good, but extreme like SYNT is bad).\n\n1.  **PAGE_CFD.UK**: 1d -36.8%, MA50 -31.7%. Score: 95.\n2.  **BOY_CFD.UK**: 1d +24.1%, MA200 +28.6%. Score: 90.\n3.  **IWG_CFD.UK**: 1d -26.7%, MA50 -22.1%. Score: 88.\n4.  **CRST_CFD.UK**: 1d +24.8%, MA50 +17.8%. Score: 85.\n5.  **CBG_CFD.UK**: 1d -26.6%, MA50 -22.1%. Score: 87.\n\nWhat about **HYQ_CFD.DE**?\n1d -8.5%, MA50 -19.1%, MA200 -47.2%.\nThe 1-day move isn't as explosive as the others, but the MA200 distance is huge. It suggests a longer-term mean reversion play. The strategy says \"short-term mean reversion (2-10 days)\". The 1-day moves in PAGE/BOY are more indicative of a short-term overreaction. HYQ might be a trend. I'll stick to the high 1-day change stocks for \"short-term\".\n\nWhat about **PSN_CFD.UK**?\n1d -18.1%, MA50 -17.6%. Score: 80.\n\nWhat about **SYNT_CFD.UK**?\n1d +79%. This is too binary. Avoid.\n\nWhat about **OCDO_CFD.UK**?\n1d -21.1%, MA50 -5.4%. The MA50 deviation is small compared to the 1-day drop. It might be a gap down. PAGE has a larger MA50 deviation, suggesting the drop is part of a trend or a deeper correction, making the reversion to the MA50 more significant? Or maybe PAGE is just crashing harder. Usually, for mean reversion, you want the price to be far from the mean. PAGE is -31% from MA50. OCDO is -5% from MA50. PAGE is a better candidate.\n\nSo the list is:\n1. PAGE_CFD.UK (Long)\n2. BOY_CFD.UK (Short)\n3. IWG_CFD.UK (Long)\n4. CRST_CFD.UK (Short)\n5. CBG_CFD.UK (Long)\n\nAre there any sector conflicts?\n- PAGE: Recruitment\n- BOY: Industrial\n- IWG: Real Estate\n- CRST: Construction/Housing\n- CBG: Financials\nAll different sectors. Perfect.\n\nLet's refine the scores and reasons.\n\n1. **PAGE_CFD.UK**\n   - Score: 95\n   - Reason: Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\n\n2. **BOY_CFD.UK**\n   - Score: 92\n   - Reason: Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\n\n3. **IWG_CFD.UK**\n   - Score: 88\n   - Reason: Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\n\n4. **CRST_CFD.UK**\n   - Score: 85\n   - Reason: Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\n\n5. **CBG_CFD.UK**\n   - Score: 87\n   - Reason: Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\n\nRejected reasons:\n- SYNT_CFD.UK: 1-day change +79% is too extreme/binary, high volatility (569%) suggests event-driven risk.\n- HYQ_CFD.DE: While deeply oversold vs MA200, 1-day move (-8.5%) is less extreme than top candidates for short-term reversion.\n- US Symbols (MRNA, NVAX, COTY): Excluded due to EU region focus.\n\nDouble check constraints:\n- Select exactly 5 candidates: Yes.\n- Avoid earnings: Unknown, skipped.\n- Avoid binary moves: SYNT excluded.\n- Max 1 per sector: Sectors are distinct (Recruitment, Industrial, RE, Construction, Finance).\n- Region: UK stocks are selected (often grouped with EU in these broad scans or the universe provided is the constraint). The prompt says `region: \"EU\"` but the universe has UK, DE, FR. I will assume UK is valid within the provided universe context. If I must be strict on \"EU\" (Continent), I would need to pick DE/FR. Let's check DE/FR candidates again.\n  - HYQ_CFD.DE: -8.5% day, -47% MA200.\n  - UN0_CFD.DE: +3.1% day, +11% MA50. Not strong.\n  - FII_CFD.FR: -0.3% day. Not strong.\n  - SAVE_CFD.FR: +2.0% day. Not strong.\n  The only strong EU (Continental) candidate is HYQ. The others are weak signals. The UK candidates have very strong signals (20-30% daily moves). In trading, signal strength usually overrides regional sub-classification if the universe is mixed. I will proceed with the UK stocks as they offer the best mean reversion setup based on the data.\n\nWait, `universe_symbols_eu` is empty in the strategy config. The `universe` list passed in the prompt contains the actual data. I must select from the `universe` list.\n\nFinal check on JSON structure.\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"PAGE_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\"\n    },\n    {\n      \"symbol\": \"IWG_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\"\n    },\n    {\n      \"symbol\": \"CBG_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\"\n    }\n  ],\n  \"rejected_common_reasons\": [\"SYNT_CFD.UK excluded due to extreme binary move (+79% 1-day change)\", \"US symbols excluded based on EU region focus\"]\n}\n```\nI need to make sure I don't invent prices. I am using the provided data.\nI need to make sure I don't invent sectors. I am inferring sectors from names to ensure diversity, but the output doesn't require sector field, just selection",
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              "text": "The user wants me to act as an Arena strategy executor.\nThe task is `stage1_universe_scan`.\nThe region is `EU`.\nThe strategy is `meanrev-v1` (Two-Stage LLM Mean-Reversion).\nThe goal is to select exactly 5 candidates for short-term mean reversion in liquid equities.\nConstraints:\n- Max 1 per sector (though sector info is missing in the data, so I have to be careful or assume diversity if possible, but I can't filter by sector if it's empty).\n- Avoid earnings within 5 days (data is null, so I can't filter this).\n- Avoid binary/event-driven moves (hard to detect without news, but extreme 1-day changes might indicate this).\n- Select exactly 5 candidates.\n\nStrategy Logic (Mean Reversion):\n- Look for stocks that have moved significantly away from their mean (e.g., MA50 or MA200) and are likely to snap back.\n- Usually, this means buying oversold stocks (price far below MA) or shorting overbought stocks (price far above MA).\n- However, \"mean reversion\" in this context often implies looking for extreme deviations.\n- The prompt asks for \"short-term mean reversion\".\n- I need to calculate a `mean_reversion_score` (0-100) and provide a `selection_reason`.\n\nData Analysis:\nThe universe contains ~50 stocks.\nFields available: `symbol`, `name`, `last_price`, `change_1d_pct`, `distance_from_ma200_pct`, `distance_from_ma50_pct`, `volatility_20d_pct`.\nSector is empty for all, so I cannot enforce the sector constraint strictly, but I should try to pick diverse names if I recognize them, or just ignore the constraint since it's impossible to fulfill with the provided data (treating it as unknown).\n\nCandidates for Mean Reversion:\n1.  **Overbought (Short candidates):** High positive distance from MA50/MA200.\n    -   `SYNT_CFD.UK`: Change +79%, Dist MA200 -51% (Wait, this is weird. Price up 79% but distance from MA200 is -51%? Maybe the MA200 is way above? Or maybe the data is noisy. Let's look at others).\n    -   `CRST_CFD.UK`: Change +24.8%, Dist MA50 +17.8%, Dist MA200 +1.2%. Volatility 158%. High volatility suggests potential snap back.\n    -   `BOY_CFD.UK`: Change +24.1%, Dist MA50 +18.6%, Dist MA200 +28.6%. Strong overbought signal.\n    -   `LMP_CFD.UK`: Change +11.5%, Dist MA50 +10.7%, Dist MA200 +12.5%.\n    -   `SPX_CFD.UK`: Change +10.9%, Dist MA50 +8.4%, Dist MA200 +15.9%.\n    -   `MAB_CFD.UK`: Change +14.3%, Dist MA50 +10.9%, Dist MA200 +11.5%.\n    -   `HMSO_CFD.UK`: Change +14.1%, Dist MA50 +10.0%, Dist MA200 +22.5%.\n    -   `ATG_CFD.UK`: Change +12.0%, Dist MA50 +5.8%, Dist MA200 -24.9%.\n\n2.  **Oversold (Long candidates):** High negative distance from MA50/MA200.\n    -   `PAGE_CFD.UK`: Change -36.8%, Dist MA50 -31.7%, Dist MA200 -40.6%. Massive drop. High volatility (193%). Potential bounce candidate.\n    -   `IWG_CFD.UK`: Change -26.7%, Dist MA50 -22.1%, Dist MA200 -17.6%.\n    -   `CBG_CFD.UK`: Change -26.6%, Dist MA50 -22.1%, Dist MA200 -13.3%.\n    -   `OCDO_CFD.UK`: Change -21.1%, Dist MA50 -5.4%, Dist MA200 -15.8%. High volatility (241%).\n    -   `KGF_CFD.UK`: Change -16.5%, Dist MA50 -8.1%, Dist MA200 +1.7%.\n    -   `PSN_CFD.UK`: Change -18.1%, Dist MA50 -17.6%, Dist MA200 -10.4%.\n    -   `HIK_CFD.UK`: Change -19.5%, Dist MA50 -15.7%, Dist MA200 -28.8%.\n    -   `OSB_CFD.UK`: Change -16.2%, Dist MA50 -10.9%, Dist MA200 -1.8%.\n    -   `COTY_CFD.US`: Change -3.7%, Dist MA50 -22.1%, Dist MA200 -45.2%. (Note: Region is EU, but US stocks are in the list? The prompt says region \"EU\", but the universe has `_CFD.US` and `_CFD.FR` and `_CFD.DE`. I should probably prioritize EU/UK/DE/FR symbols. `COTY_CFD.US` is US. `MRNA_CFD.US` is US. `NVAX_CFD.US` is US. I will stick to UK/EU suffixes unless the US ones are exceptional, but the prompt says region \"EU\". I will exclude US symbols to be safe).\n    -   `HYQ_CFD.DE`: Change -8.5%, Dist MA50 -19.1%, Dist MA200 -47.2%. This looks very oversold.\n\nSelection Strategy:\nI need 5 candidates. I will mix oversold and overbought, or focus on the most extreme deviations.\nLet's look at the most extreme deviations.\n\n1.  **PAGE_CFD.UK**: -36.8% 1-day change. Dist MA50 -31.7%. This is a massive crash. High volatility. Good candidate for a dead cat bounce (Long).\n2.  **BOY_CFD.UK**: +24.1% 1-day change. Dist MA50 +18.6%, MA200 +28.6%. Strong spike. Good candidate for a pullback (Short).\n3.  **IWG_CFD.UK**: -26.7% 1-day change. Dist MA50 -22.1%. Similar to PAGE. (Long).\n4.  **CBG_CFD.UK**: -26.6% 1-day change. Dist MA50 -22.1%. (Long).\n5.  **CRST_CFD.UK**: +24.8% 1-day change. Dist MA50 +17.8%. (Short).\n6.  **SYNT_CFD.UK**: +79% 1-day change. This is huge. However, Dist MA200 is -51%. This suggests the price might have jumped from a very low base or the MA is lagging heavily. Or it's a data error. The volatility is 569%. This is extremely risky/binary. \"Avoid highly binary/event-driven moves\". A 79% jump is likely event-driven. I will exclude SYNT.\n7.  **HYQ_CFD.DE**: Dist MA200 -47.2%. Dist MA50 -19.1%. 1-day change -8.5%. This is a steady decline, very oversold relative to 200MA. (Long).\n8.  **PSN_CFD.UK**: -18.1% 1-day change. Dist MA50 -17.6%. (Long).\n9.  **HMSO_CFD.UK**: +14.1% 1-day change. Dist MA200 +22.5%. (Short).\n\nLet's pick 5.\nI need a mix to balance the portfolio if possible, or just the strongest signals.\nStrongest signals (Extreme 1-day moves + Extreme MA deviation):\n\n1.  **PAGE_CFD.UK** (Long): -36.8% day, -31.7% MA50. Extreme oversold.\n2.  **BOY_CFD.UK** (Short): +24.1% day, +28.6% MA200. Extreme overbought.\n3.  **IWG_CFD.UK** (Long): -26.7% day, -22.1% MA50. Extreme oversold.\n4.  **CRST_CFD.UK** (Short): +24.8% day, +17.8% MA50. Extreme overbought.\n5.  **CBG_CFD.UK** (Long): -26.6% day, -22.1% MA50. Extreme oversold.\n\nWait, PAGE, IWG, and CBG are all UK stocks with similar drops. Are they in the same sector?\n- PAGE: Pagegroup (Recruitment/Staffing)\n- IWG: IWG (Flexible workspace/Real Estate)\n- CBG: Close Brothers (Financial Services/Banking)\n- CRST: Crest Nicholson (Housebuilding)\n- BOY: Bodycote (Thermal processing/Industrial)\n\nSectors seem distinct enough (Recruitment, RE, Finance, Housing, Industrial).\nSo PAGE, IWG, CBG, CRST, BOY seem like a good set of 5.\n\nLet's check **HYQ_CFD.DE** (Hypoport). Dist MA200 -47%. 1-day change -8.5%. It's a German stock (EU region). It's very oversold. Maybe replace one of the UK ones to get some EU diversity?\nThe prompt says region \"EU\". UK is often treated separately or included depending on the definition, but usually \"EU\" implies Continental Europe in financial contexts, or UK+EU. The universe list has `_CFD.UK`, `_CFD.DE`, `_CFD.FR`.\nLet's look at the strategy rules again. `region`: \"EU\".\nIf I strictly follow \"EU\", I should prioritize DE/FR. But the universe is dominated by UK stocks.\nLet's look at the universe symbols provided in the prompt.\n`universe_symbols_eu`: [], `universe_symbols_us`: [].\nThe `universe` list provided contains UK, DE, FR, US.\nSince the task is `stage1_universe_scan` and the region is `EU`, I should probably select from the available list which seems to be the \"universe\" provided for this specific run. The list contains UK, DE, FR. I will assume UK is acceptable or the \"EU\" label is broad. However, to be safe and diverse, I will include HYQ (DE) if it fits well.\n\nLet's re-evaluate the top 5 based on Mean Reversion Score.\nScore calculation logic (heuristic):\n- Absolute distance from MA50 (higher is better for mean reversion).\n- Absolute 1-day change (higher is better, indicates overreaction).\n- Volatility (moderate to high is good, but extreme like SYNT is bad).\n\n1.  **PAGE_CFD.UK**: 1d -36.8%, MA50 -31.7%. Score: 95.\n2.  **BOY_CFD.UK**: 1d +24.1%, MA200 +28.6%. Score: 90.\n3.  **IWG_CFD.UK**: 1d -26.7%, MA50 -22.1%. Score: 88.\n4.  **CRST_CFD.UK**: 1d +24.8%, MA50 +17.8%. Score: 85.\n5.  **CBG_CFD.UK**: 1d -26.6%, MA50 -22.1%. Score: 87.\n\nWhat about **HYQ_CFD.DE**?\n1d -8.5%, MA50 -19.1%, MA200 -47.2%.\nThe 1-day move isn't as explosive as the others, but the MA200 distance is huge. It suggests a longer-term mean reversion play. The strategy says \"short-term mean reversion (2-10 days)\". The 1-day moves in PAGE/BOY are more indicative of a short-term overreaction. HYQ might be a trend. I'll stick to the high 1-day change stocks for \"short-term\".\n\nWhat about **PSN_CFD.UK**?\n1d -18.1%, MA50 -17.6%. Score: 80.\n\nWhat about **SYNT_CFD.UK**?\n1d +79%. This is too binary. Avoid.\n\nWhat about **OCDO_CFD.UK**?\n1d -21.1%, MA50 -5.4%. The MA50 deviation is small compared to the 1-day drop. It might be a gap down. PAGE has a larger MA50 deviation, suggesting the drop is part of a trend or a deeper correction, making the reversion to the MA50 more significant? Or maybe PAGE is just crashing harder. Usually, for mean reversion, you want the price to be far from the mean. PAGE is -31% from MA50. OCDO is -5% from MA50. PAGE is a better candidate.\n\nSo the list is:\n1. PAGE_CFD.UK (Long)\n2. BOY_CFD.UK (Short)\n3. IWG_CFD.UK (Long)\n4. CRST_CFD.UK (Short)\n5. CBG_CFD.UK (Long)\n\nAre there any sector conflicts?\n- PAGE: Recruitment\n- BOY: Industrial\n- IWG: Real Estate\n- CRST: Construction/Housing\n- CBG: Financials\nAll different sectors. Perfect.\n\nLet's refine the scores and reasons.\n\n1. **PAGE_CFD.UK**\n   - Score: 95\n   - Reason: Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\n\n2. **BOY_CFD.UK**\n   - Score: 92\n   - Reason: Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\n\n3. **IWG_CFD.UK**\n   - Score: 88\n   - Reason: Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\n\n4. **CRST_CFD.UK**\n   - Score: 85\n   - Reason: Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\n\n5. **CBG_CFD.UK**\n   - Score: 87\n   - Reason: Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\n\nRejected reasons:\n- SYNT_CFD.UK: 1-day change +79% is too extreme/binary, high volatility (569%) suggests event-driven risk.\n- HYQ_CFD.DE: While deeply oversold vs MA200, 1-day move (-8.5%) is less extreme than top candidates for short-term reversion.\n- US Symbols (MRNA, NVAX, COTY): Excluded due to EU region focus.\n\nDouble check constraints:\n- Select exactly 5 candidates: Yes.\n- Avoid earnings: Unknown, skipped.\n- Avoid binary moves: SYNT excluded.\n- Max 1 per sector: Sectors are distinct (Recruitment, Industrial, RE, Construction, Finance).\n- Region: UK stocks are selected (often grouped with EU in these broad scans or the universe provided is the constraint). The prompt says `region: \"EU\"` but the universe has UK, DE, FR. I will assume UK is valid within the provided universe context. If I must be strict on \"EU\" (Continent), I would need to pick DE/FR. Let's check DE/FR candidates again.\n  - HYQ_CFD.DE: -8.5% day, -47% MA200.\n  - UN0_CFD.DE: +3.1% day, +11% MA50. Not strong.\n  - FII_CFD.FR: -0.3% day. Not strong.\n  - SAVE_CFD.FR: +2.0% day. Not strong.\n  The only strong EU (Continental) candidate is HYQ. The others are weak signals. The UK candidates have very strong signals (20-30% daily moves). In trading, signal strength usually overrides regional sub-classification if the universe is mixed. I will proceed with the UK stocks as they offer the best mean reversion setup based on the data.\n\nWait, `universe_symbols_eu` is empty in the strategy config. The `universe` list passed in the prompt contains the actual data. I must select from the `universe` list.\n\nFinal check on JSON structure.\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"PAGE_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\"\n    },\n    {\n      \"symbol\": \"IWG_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\"\n    },\n    {\n      \"symbol\": \"CBG_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\"\n    }\n  ],\n  \"rejected_common_reasons\": [\"SYNT_CFD.UK excluded due to extreme binary move (+79% 1-day change)\", \"US symbols excluded based on EU region focus\"]\n}\n```\nI need to make sure I don't invent prices. I am using the provided data.\nI need to make sure I don't invent sectors. I am inferring sectors from names to ensure diversity, but the output doesn't require sector field, just selection",
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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": "EU", "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": 0.0, "avg_price": 249.47, "last_price": 236.65, "unrealized_pnl": 0.0, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "AUTO_CFD.UK", "qty": 6.2137531068765535, "avg_price": 482.8, "last_price": 482.8, "unrealized_pnl": 0.0, "opened_at": "2026-03-19T18:04:14.272849+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": 0.0, "avg_price": 292.6, "last_price": 292.6, "unrealized_pnl": 0.0, "opened_at": "2026-02-19T00:47:27.070066+00:00"}, {"symbol": "CBG_CFD.UK", "qty": 8.748396127376648, "avg_price": 342.92, "last_price": 342.92, "unrealized_pnl": 0.0, "opened_at": "2026-03-19T18:04:14.272849+00:00"}, {"symbol": "CCL_CFD.UK", "qty": 1.5416238437821173, "avg_price": 1945.9999999999998, "last_price": 1832.5, "unrealized_pnl": -174.97430626926996, "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": 0.0, "avg_price": 1127.4099999999999, "last_price": 1160.795, "unrealized_pnl": 0.0, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "FUTR_CFD.UK", "qty": 0.0, "avg_price": 400.6, "last_price": 414.2, "unrealized_pnl": 0.0, "opened_at": "2026-02-19T00:47:27.070066+00:00"}, {"symbol": "HIK_CFD.UK", "qty": 2.3529411764705883, "avg_price": 1275.0, "last_price": 1236.0, "unrealized_pnl": -91.76470588235294, "opened_at": "2026-03-02T10:31:26.559356+00:00"}, {"symbol": "IWG_CFD.UK", "qty": 16.216216216216218, "avg_price": 185.0, "last_price": 172.2, "unrealized_pnl": -207.56756756756778, "opened_at": "2026-03-17T10:04:29.123574+00:00"}, {"symbol": "KGF_CFD.UK", "qty": 10.384215991692628, "avg_price": 288.9, "last_price": 288.9, "unrealized_pnl": 0.0, "opened_at": "2026-03-26T10:11:44.579260+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": 45.14672686230248, "avg_price": 132.9, "last_price": 132.9, "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": 0.0, "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": 0.0, "avg_price": 7.398000000000001, "last_price": 6.723, "unrealized_pnl": 0.0, "opened_at": "2026-03-02T10:31:26.559356+00:00"}, {"symbol": "VTY_CFD.UK", "qty": 8.85608856088561, "avg_price": 338.75, "last_price": 338.75, "unrealized_pnl": 0.0, "opened_at": "2026-03-17T10:04:29.123574+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": 0.0, "avg_price": 141.32, "last_price": 133.07, "unrealized_pnl": 0.0, "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": "Position is flat (PnL 0), no action required.",
        "symbol": "AUTO_CFD.UK"
      },
      {
        "reason": "Position is flat (PnL 0), no action required.",
        "symbol": "CBG_CFD.UK"
      },
      {
        "reason": "Loss is present but within sell limit constraints; holding for potential rebound.",
        "symbol": "CCL_CFD.UK"
      },
      {
        "reason": "Loss is relatively small (-3.1%); holding to avoid churn.",
        "symbol": "HIK_CFD.UK"
      },
      {
        "reason": "Position is flat (PnL 0), no action required.",
        "symbol": "KGF_CFD.UK"
      },
      {
        "reason": "Position is flat (PnL 0), no action required.",
        "symbol": "PAGE_CFD.UK"
      },
      {
        "reason": "Position is flat (PnL 0), no action required.",
        "symbol": "VTY_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Largest unrealized loss (-6.9%) indicates the mean reversion thesis is currently failing; cutting risk.",
        "symbol": "IWG_CFD.UK"
      },
      {
        "reason": "Significant loss (-5.9%) held for over a month without recovery; exiting to preserve capital.",
        "symbol": "OCDO_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "Risk management focus: closing the two worst-performing positions (IWG and OCDO) which have shown significant negative drift. No new entries are executed as the candidates list is empty. Remaining positions are held to respect overtrading constraints, with flat positions monitored for entry/exit signals."
}

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          "refusal": null,
          "reasoning": "The user wants me to act as an Arena strategy executor.\nThe task is `stage1_universe_scan`.\nThe region is `EU`.\nThe strategy is `meanrev-v1` (Two-Stage LLM Mean-Reversion).\nThe goal is to select exactly 5 candidates for short-term mean reversion in liquid equities.\nConstraints:\n- Max 1 per sector (though sector info is missing in the data, so I have to be careful or assume diversity if possible, but I can't filter by sector if it's empty).\n- Avoid earnings within 5 days (data is null, so I can't filter this).\n- Avoid binary/event-driven moves (hard to detect without news, but extreme 1-day changes might indicate this).\n- Select exactly 5 candidates.\n\nStrategy Logic (Mean Reversion):\n- Look for stocks that have moved significantly away from their mean (e.g., MA50 or MA200) and are likely to snap back.\n- Usually, this means buying oversold stocks (price far below MA) or shorting overbought stocks (price far above MA).\n- However, \"mean reversion\" in this context often implies looking for extreme deviations.\n- The prompt asks for \"short-term mean reversion\".\n- I need to calculate a `mean_reversion_score` (0-100) and provide a `selection_reason`.\n\nData Analysis:\nThe universe contains ~50 stocks.\nFields available: `symbol`, `name`, `last_price`, `change_1d_pct`, `distance_from_ma200_pct`, `distance_from_ma50_pct`, `volatility_20d_pct`.\nSector is empty for all, so I cannot enforce the sector constraint strictly, but I should try to pick diverse names if I recognize them, or just ignore the constraint since it's impossible to fulfill with the provided data (treating it as unknown).\n\nCandidates for Mean Reversion:\n1.  **Overbought (Short candidates):** High positive distance from MA50/MA200.\n    -   `SYNT_CFD.UK`: Change +79%, Dist MA200 -51% (Wait, this is weird. Price up 79% but distance from MA200 is -51%? Maybe the MA200 is way above? Or maybe the data is noisy. Let's look at others).\n    -   `CRST_CFD.UK`: Change +24.8%, Dist MA50 +17.8%, Dist MA200 +1.2%. Volatility 158%. High volatility suggests potential snap back.\n    -   `BOY_CFD.UK`: Change +24.1%, Dist MA50 +18.6%, Dist MA200 +28.6%. Strong overbought signal.\n    -   `LMP_CFD.UK`: Change +11.5%, Dist MA50 +10.7%, Dist MA200 +12.5%.\n    -   `SPX_CFD.UK`: Change +10.9%, Dist MA50 +8.4%, Dist MA200 +15.9%.\n    -   `MAB_CFD.UK`: Change +14.3%, Dist MA50 +10.9%, Dist MA200 +11.5%.\n    -   `HMSO_CFD.UK`: Change +14.1%, Dist MA50 +10.0%, Dist MA200 +22.5%.\n    -   `ATG_CFD.UK`: Change +12.0%, Dist MA50 +5.8%, Dist MA200 -24.9%.\n\n2.  **Oversold (Long candidates):** High negative distance from MA50/MA200.\n    -   `PAGE_CFD.UK`: Change -36.8%, Dist MA50 -31.7%, Dist MA200 -40.6%. Massive drop. High volatility (193%). Potential bounce candidate.\n    -   `IWG_CFD.UK`: Change -26.7%, Dist MA50 -22.1%, Dist MA200 -17.6%.\n    -   `CBG_CFD.UK`: Change -26.6%, Dist MA50 -22.1%, Dist MA200 -13.3%.\n    -   `OCDO_CFD.UK`: Change -21.1%, Dist MA50 -5.4%, Dist MA200 -15.8%. High volatility (241%).\n    -   `KGF_CFD.UK`: Change -16.5%, Dist MA50 -8.1%, Dist MA200 +1.7%.\n    -   `PSN_CFD.UK`: Change -18.1%, Dist MA50 -17.6%, Dist MA200 -10.4%.\n    -   `HIK_CFD.UK`: Change -19.5%, Dist MA50 -15.7%, Dist MA200 -28.8%.\n    -   `OSB_CFD.UK`: Change -16.2%, Dist MA50 -10.9%, Dist MA200 -1.8%.\n    -   `COTY_CFD.US`: Change -3.7%, Dist MA50 -22.1%, Dist MA200 -45.2%. (Note: Region is EU, but US stocks are in the list? The prompt says region \"EU\", but the universe has `_CFD.US` and `_CFD.FR` and `_CFD.DE`. I should probably prioritize EU/UK/DE/FR symbols. `COTY_CFD.US` is US. `MRNA_CFD.US` is US. `NVAX_CFD.US` is US. I will stick to UK/EU suffixes unless the US ones are exceptional, but the prompt says region \"EU\". I will exclude US symbols to be safe).\n    -   `HYQ_CFD.DE`: Change -8.5%, Dist MA50 -19.1%, Dist MA200 -47.2%. This looks very oversold.\n\nSelection Strategy:\nI need 5 candidates. I will mix oversold and overbought, or focus on the most extreme deviations.\nLet's look at the most extreme deviations.\n\n1.  **PAGE_CFD.UK**: -36.8% 1-day change. Dist MA50 -31.7%. This is a massive crash. High volatility. Good candidate for a dead cat bounce (Long).\n2.  **BOY_CFD.UK**: +24.1% 1-day change. Dist MA50 +18.6%, MA200 +28.6%. Strong spike. Good candidate for a pullback (Short).\n3.  **IWG_CFD.UK**: -26.7% 1-day change. Dist MA50 -22.1%. Similar to PAGE. (Long).\n4.  **CBG_CFD.UK**: -26.6% 1-day change. Dist MA50 -22.1%. (Long).\n5.  **CRST_CFD.UK**: +24.8% 1-day change. Dist MA50 +17.8%. (Short).\n6.  **SYNT_CFD.UK**: +79% 1-day change. This is huge. However, Dist MA200 is -51%. This suggests the price might have jumped from a very low base or the MA is lagging heavily. Or it's a data error. The volatility is 569%. This is extremely risky/binary. \"Avoid highly binary/event-driven moves\". A 79% jump is likely event-driven. I will exclude SYNT.\n7.  **HYQ_CFD.DE**: Dist MA200 -47.2%. Dist MA50 -19.1%. 1-day change -8.5%. This is a steady decline, very oversold relative to 200MA. (Long).\n8.  **PSN_CFD.UK**: -18.1% 1-day change. Dist MA50 -17.6%. (Long).\n9.  **HMSO_CFD.UK**: +14.1% 1-day change. Dist MA200 +22.5%. (Short).\n\nLet's pick 5.\nI need a mix to balance the portfolio if possible, or just the strongest signals.\nStrongest signals (Extreme 1-day moves + Extreme MA deviation):\n\n1.  **PAGE_CFD.UK** (Long): -36.8% day, -31.7% MA50. Extreme oversold.\n2.  **BOY_CFD.UK** (Short): +24.1% day, +28.6% MA200. Extreme overbought.\n3.  **IWG_CFD.UK** (Long): -26.7% day, -22.1% MA50. Extreme oversold.\n4.  **CRST_CFD.UK** (Short): +24.8% day, +17.8% MA50. Extreme overbought.\n5.  **CBG_CFD.UK** (Long): -26.6% day, -22.1% MA50. Extreme oversold.\n\nWait, PAGE, IWG, and CBG are all UK stocks with similar drops. Are they in the same sector?\n- PAGE: Pagegroup (Recruitment/Staffing)\n- IWG: IWG (Flexible workspace/Real Estate)\n- CBG: Close Brothers (Financial Services/Banking)\n- CRST: Crest Nicholson (Housebuilding)\n- BOY: Bodycote (Thermal processing/Industrial)\n\nSectors seem distinct enough (Recruitment, RE, Finance, Housing, Industrial).\nSo PAGE, IWG, CBG, CRST, BOY seem like a good set of 5.\n\nLet's check **HYQ_CFD.DE** (Hypoport). Dist MA200 -47%. 1-day change -8.5%. It's a German stock (EU region). It's very oversold. Maybe replace one of the UK ones to get some EU diversity?\nThe prompt says region \"EU\". UK is often treated separately or included depending on the definition, but usually \"EU\" implies Continental Europe in financial contexts, or UK+EU. The universe list has `_CFD.UK`, `_CFD.DE`, `_CFD.FR`.\nLet's look at the strategy rules again. `region`: \"EU\".\nIf I strictly follow \"EU\", I should prioritize DE/FR. But the universe is dominated by UK stocks.\nLet's look at the universe symbols provided in the prompt.\n`universe_symbols_eu`: [], `universe_symbols_us`: [].\nThe `universe` list provided contains UK, DE, FR, US.\nSince the task is `stage1_universe_scan` and the region is `EU`, I should probably select from the available list which seems to be the \"universe\" provided for this specific run. The list contains UK, DE, FR. I will assume UK is acceptable or the \"EU\" label is broad. However, to be safe and diverse, I will include HYQ (DE) if it fits well.\n\nLet's re-evaluate the top 5 based on Mean Reversion Score.\nScore calculation logic (heuristic):\n- Absolute distance from MA50 (higher is better for mean reversion).\n- Absolute 1-day change (higher is better, indicates overreaction).\n- Volatility (moderate to high is good, but extreme like SYNT is bad).\n\n1.  **PAGE_CFD.UK**: 1d -36.8%, MA50 -31.7%. Score: 95.\n2.  **BOY_CFD.UK**: 1d +24.1%, MA200 +28.6%. Score: 90.\n3.  **IWG_CFD.UK**: 1d -26.7%, MA50 -22.1%. Score: 88.\n4.  **CRST_CFD.UK**: 1d +24.8%, MA50 +17.8%. Score: 85.\n5.  **CBG_CFD.UK**: 1d -26.6%, MA50 -22.1%. Score: 87.\n\nWhat about **HYQ_CFD.DE**?\n1d -8.5%, MA50 -19.1%, MA200 -47.2%.\nThe 1-day move isn't as explosive as the others, but the MA200 distance is huge. It suggests a longer-term mean reversion play. The strategy says \"short-term mean reversion (2-10 days)\". The 1-day moves in PAGE/BOY are more indicative of a short-term overreaction. HYQ might be a trend. I'll stick to the high 1-day change stocks for \"short-term\".\n\nWhat about **PSN_CFD.UK**?\n1d -18.1%, MA50 -17.6%. Score: 80.\n\nWhat about **SYNT_CFD.UK**?\n1d +79%. This is too binary. Avoid.\n\nWhat about **OCDO_CFD.UK**?\n1d -21.1%, MA50 -5.4%. The MA50 deviation is small compared to the 1-day drop. It might be a gap down. PAGE has a larger MA50 deviation, suggesting the drop is part of a trend or a deeper correction, making the reversion to the MA50 more significant? Or maybe PAGE is just crashing harder. Usually, for mean reversion, you want the price to be far from the mean. PAGE is -31% from MA50. OCDO is -5% from MA50. PAGE is a better candidate.\n\nSo the list is:\n1. PAGE_CFD.UK (Long)\n2. BOY_CFD.UK (Short)\n3. IWG_CFD.UK (Long)\n4. CRST_CFD.UK (Short)\n5. CBG_CFD.UK (Long)\n\nAre there any sector conflicts?\n- PAGE: Recruitment\n- BOY: Industrial\n- IWG: Real Estate\n- CRST: Construction/Housing\n- CBG: Financials\nAll different sectors. Perfect.\n\nLet's refine the scores and reasons.\n\n1. **PAGE_CFD.UK**\n   - Score: 95\n   - Reason: Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\n\n2. **BOY_CFD.UK**\n   - Score: 92\n   - Reason: Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\n\n3. **IWG_CFD.UK**\n   - Score: 88\n   - Reason: Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\n\n4. **CRST_CFD.UK**\n   - Score: 85\n   - Reason: Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\n\n5. **CBG_CFD.UK**\n   - Score: 87\n   - Reason: Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\n\nRejected reasons:\n- SYNT_CFD.UK: 1-day change +79% is too extreme/binary, high volatility (569%) suggests event-driven risk.\n- HYQ_CFD.DE: While deeply oversold vs MA200, 1-day move (-8.5%) is less extreme than top candidates for short-term reversion.\n- US Symbols (MRNA, NVAX, COTY): Excluded due to EU region focus.\n\nDouble check constraints:\n- Select exactly 5 candidates: Yes.\n- Avoid earnings: Unknown, skipped.\n- Avoid binary moves: SYNT excluded.\n- Max 1 per sector: Sectors are distinct (Recruitment, Industrial, RE, Construction, Finance).\n- Region: UK stocks are selected (often grouped with EU in these broad scans or the universe provided is the constraint). The prompt says `region: \"EU\"` but the universe has UK, DE, FR. I will assume UK is valid within the provided universe context. If I must be strict on \"EU\" (Continent), I would need to pick DE/FR. Let's check DE/FR candidates again.\n  - HYQ_CFD.DE: -8.5% day, -47% MA200.\n  - UN0_CFD.DE: +3.1% day, +11% MA50. Not strong.\n  - FII_CFD.FR: -0.3% day. Not strong.\n  - SAVE_CFD.FR: +2.0% day. Not strong.\n  The only strong EU (Continental) candidate is HYQ. The others are weak signals. The UK candidates have very strong signals (20-30% daily moves). In trading, signal strength usually overrides regional sub-classification if the universe is mixed. I will proceed with the UK stocks as they offer the best mean reversion setup based on the data.\n\nWait, `universe_symbols_eu` is empty in the strategy config. The `universe` list passed in the prompt contains the actual data. I must select from the `universe` list.\n\nFinal check on JSON structure.\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"PAGE_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\"\n    },\n    {\n      \"symbol\": \"IWG_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\"\n    },\n    {\n      \"symbol\": \"CBG_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\"\n    }\n  ],\n  \"rejected_common_reasons\": [\"SYNT_CFD.UK excluded due to extreme binary move (+79% 1-day change)\", \"US symbols excluded based on EU region focus\"]\n}\n```\nI need to make sure I don't invent prices. I am using the provided data.\nI need to make sure I don't invent sectors. I am inferring sectors from names to ensure diversity, but the output doesn't require sector field, just selection",
          "reasoning_details": [
            {
              "text": "The user wants me to act as an Arena strategy executor.\nThe task is `stage1_universe_scan`.\nThe region is `EU`.\nThe strategy is `meanrev-v1` (Two-Stage LLM Mean-Reversion).\nThe goal is to select exactly 5 candidates for short-term mean reversion in liquid equities.\nConstraints:\n- Max 1 per sector (though sector info is missing in the data, so I have to be careful or assume diversity if possible, but I can't filter by sector if it's empty).\n- Avoid earnings within 5 days (data is null, so I can't filter this).\n- Avoid binary/event-driven moves (hard to detect without news, but extreme 1-day changes might indicate this).\n- Select exactly 5 candidates.\n\nStrategy Logic (Mean Reversion):\n- Look for stocks that have moved significantly away from their mean (e.g., MA50 or MA200) and are likely to snap back.\n- Usually, this means buying oversold stocks (price far below MA) or shorting overbought stocks (price far above MA).\n- However, \"mean reversion\" in this context often implies looking for extreme deviations.\n- The prompt asks for \"short-term mean reversion\".\n- I need to calculate a `mean_reversion_score` (0-100) and provide a `selection_reason`.\n\nData Analysis:\nThe universe contains ~50 stocks.\nFields available: `symbol`, `name`, `last_price`, `change_1d_pct`, `distance_from_ma200_pct`, `distance_from_ma50_pct`, `volatility_20d_pct`.\nSector is empty for all, so I cannot enforce the sector constraint strictly, but I should try to pick diverse names if I recognize them, or just ignore the constraint since it's impossible to fulfill with the provided data (treating it as unknown).\n\nCandidates for Mean Reversion:\n1.  **Overbought (Short candidates):** High positive distance from MA50/MA200.\n    -   `SYNT_CFD.UK`: Change +79%, Dist MA200 -51% (Wait, this is weird. Price up 79% but distance from MA200 is -51%? Maybe the MA200 is way above? Or maybe the data is noisy. Let's look at others).\n    -   `CRST_CFD.UK`: Change +24.8%, Dist MA50 +17.8%, Dist MA200 +1.2%. Volatility 158%. High volatility suggests potential snap back.\n    -   `BOY_CFD.UK`: Change +24.1%, Dist MA50 +18.6%, Dist MA200 +28.6%. Strong overbought signal.\n    -   `LMP_CFD.UK`: Change +11.5%, Dist MA50 +10.7%, Dist MA200 +12.5%.\n    -   `SPX_CFD.UK`: Change +10.9%, Dist MA50 +8.4%, Dist MA200 +15.9%.\n    -   `MAB_CFD.UK`: Change +14.3%, Dist MA50 +10.9%, Dist MA200 +11.5%.\n    -   `HMSO_CFD.UK`: Change +14.1%, Dist MA50 +10.0%, Dist MA200 +22.5%.\n    -   `ATG_CFD.UK`: Change +12.0%, Dist MA50 +5.8%, Dist MA200 -24.9%.\n\n2.  **Oversold (Long candidates):** High negative distance from MA50/MA200.\n    -   `PAGE_CFD.UK`: Change -36.8%, Dist MA50 -31.7%, Dist MA200 -40.6%. Massive drop. High volatility (193%). Potential bounce candidate.\n    -   `IWG_CFD.UK`: Change -26.7%, Dist MA50 -22.1%, Dist MA200 -17.6%.\n    -   `CBG_CFD.UK`: Change -26.6%, Dist MA50 -22.1%, Dist MA200 -13.3%.\n    -   `OCDO_CFD.UK`: Change -21.1%, Dist MA50 -5.4%, Dist MA200 -15.8%. High volatility (241%).\n    -   `KGF_CFD.UK`: Change -16.5%, Dist MA50 -8.1%, Dist MA200 +1.7%.\n    -   `PSN_CFD.UK`: Change -18.1%, Dist MA50 -17.6%, Dist MA200 -10.4%.\n    -   `HIK_CFD.UK`: Change -19.5%, Dist MA50 -15.7%, Dist MA200 -28.8%.\n    -   `OSB_CFD.UK`: Change -16.2%, Dist MA50 -10.9%, Dist MA200 -1.8%.\n    -   `COTY_CFD.US`: Change -3.7%, Dist MA50 -22.1%, Dist MA200 -45.2%. (Note: Region is EU, but US stocks are in the list? The prompt says region \"EU\", but the universe has `_CFD.US` and `_CFD.FR` and `_CFD.DE`. I should probably prioritize EU/UK/DE/FR symbols. `COTY_CFD.US` is US. `MRNA_CFD.US` is US. `NVAX_CFD.US` is US. I will stick to UK/EU suffixes unless the US ones are exceptional, but the prompt says region \"EU\". I will exclude US symbols to be safe).\n    -   `HYQ_CFD.DE`: Change -8.5%, Dist MA50 -19.1%, Dist MA200 -47.2%. This looks very oversold.\n\nSelection Strategy:\nI need 5 candidates. I will mix oversold and overbought, or focus on the most extreme deviations.\nLet's look at the most extreme deviations.\n\n1.  **PAGE_CFD.UK**: -36.8% 1-day change. Dist MA50 -31.7%. This is a massive crash. High volatility. Good candidate for a dead cat bounce (Long).\n2.  **BOY_CFD.UK**: +24.1% 1-day change. Dist MA50 +18.6%, MA200 +28.6%. Strong spike. Good candidate for a pullback (Short).\n3.  **IWG_CFD.UK**: -26.7% 1-day change. Dist MA50 -22.1%. Similar to PAGE. (Long).\n4.  **CBG_CFD.UK**: -26.6% 1-day change. Dist MA50 -22.1%. (Long).\n5.  **CRST_CFD.UK**: +24.8% 1-day change. Dist MA50 +17.8%. (Short).\n6.  **SYNT_CFD.UK**: +79% 1-day change. This is huge. However, Dist MA200 is -51%. This suggests the price might have jumped from a very low base or the MA is lagging heavily. Or it's a data error. The volatility is 569%. This is extremely risky/binary. \"Avoid highly binary/event-driven moves\". A 79% jump is likely event-driven. I will exclude SYNT.\n7.  **HYQ_CFD.DE**: Dist MA200 -47.2%. Dist MA50 -19.1%. 1-day change -8.5%. This is a steady decline, very oversold relative to 200MA. (Long).\n8.  **PSN_CFD.UK**: -18.1% 1-day change. Dist MA50 -17.6%. (Long).\n9.  **HMSO_CFD.UK**: +14.1% 1-day change. Dist MA200 +22.5%. (Short).\n\nLet's pick 5.\nI need a mix to balance the portfolio if possible, or just the strongest signals.\nStrongest signals (Extreme 1-day moves + Extreme MA deviation):\n\n1.  **PAGE_CFD.UK** (Long): -36.8% day, -31.7% MA50. Extreme oversold.\n2.  **BOY_CFD.UK** (Short): +24.1% day, +28.6% MA200. Extreme overbought.\n3.  **IWG_CFD.UK** (Long): -26.7% day, -22.1% MA50. Extreme oversold.\n4.  **CRST_CFD.UK** (Short): +24.8% day, +17.8% MA50. Extreme overbought.\n5.  **CBG_CFD.UK** (Long): -26.6% day, -22.1% MA50. Extreme oversold.\n\nWait, PAGE, IWG, and CBG are all UK stocks with similar drops. Are they in the same sector?\n- PAGE: Pagegroup (Recruitment/Staffing)\n- IWG: IWG (Flexible workspace/Real Estate)\n- CBG: Close Brothers (Financial Services/Banking)\n- CRST: Crest Nicholson (Housebuilding)\n- BOY: Bodycote (Thermal processing/Industrial)\n\nSectors seem distinct enough (Recruitment, RE, Finance, Housing, Industrial).\nSo PAGE, IWG, CBG, CRST, BOY seem like a good set of 5.\n\nLet's check **HYQ_CFD.DE** (Hypoport). Dist MA200 -47%. 1-day change -8.5%. It's a German stock (EU region). It's very oversold. Maybe replace one of the UK ones to get some EU diversity?\nThe prompt says region \"EU\". UK is often treated separately or included depending on the definition, but usually \"EU\" implies Continental Europe in financial contexts, or UK+EU. The universe list has `_CFD.UK`, `_CFD.DE`, `_CFD.FR`.\nLet's look at the strategy rules again. `region`: \"EU\".\nIf I strictly follow \"EU\", I should prioritize DE/FR. But the universe is dominated by UK stocks.\nLet's look at the universe symbols provided in the prompt.\n`universe_symbols_eu`: [], `universe_symbols_us`: [].\nThe `universe` list provided contains UK, DE, FR, US.\nSince the task is `stage1_universe_scan` and the region is `EU`, I should probably select from the available list which seems to be the \"universe\" provided for this specific run. The list contains UK, DE, FR. I will assume UK is acceptable or the \"EU\" label is broad. However, to be safe and diverse, I will include HYQ (DE) if it fits well.\n\nLet's re-evaluate the top 5 based on Mean Reversion Score.\nScore calculation logic (heuristic):\n- Absolute distance from MA50 (higher is better for mean reversion).\n- Absolute 1-day change (higher is better, indicates overreaction).\n- Volatility (moderate to high is good, but extreme like SYNT is bad).\n\n1.  **PAGE_CFD.UK**: 1d -36.8%, MA50 -31.7%. Score: 95.\n2.  **BOY_CFD.UK**: 1d +24.1%, MA200 +28.6%. Score: 90.\n3.  **IWG_CFD.UK**: 1d -26.7%, MA50 -22.1%. Score: 88.\n4.  **CRST_CFD.UK**: 1d +24.8%, MA50 +17.8%. Score: 85.\n5.  **CBG_CFD.UK**: 1d -26.6%, MA50 -22.1%. Score: 87.\n\nWhat about **HYQ_CFD.DE**?\n1d -8.5%, MA50 -19.1%, MA200 -47.2%.\nThe 1-day move isn't as explosive as the others, but the MA200 distance is huge. It suggests a longer-term mean reversion play. The strategy says \"short-term mean reversion (2-10 days)\". The 1-day moves in PAGE/BOY are more indicative of a short-term overreaction. HYQ might be a trend. I'll stick to the high 1-day change stocks for \"short-term\".\n\nWhat about **PSN_CFD.UK**?\n1d -18.1%, MA50 -17.6%. Score: 80.\n\nWhat about **SYNT_CFD.UK**?\n1d +79%. This is too binary. Avoid.\n\nWhat about **OCDO_CFD.UK**?\n1d -21.1%, MA50 -5.4%. The MA50 deviation is small compared to the 1-day drop. It might be a gap down. PAGE has a larger MA50 deviation, suggesting the drop is part of a trend or a deeper correction, making the reversion to the MA50 more significant? Or maybe PAGE is just crashing harder. Usually, for mean reversion, you want the price to be far from the mean. PAGE is -31% from MA50. OCDO is -5% from MA50. PAGE is a better candidate.\n\nSo the list is:\n1. PAGE_CFD.UK (Long)\n2. BOY_CFD.UK (Short)\n3. IWG_CFD.UK (Long)\n4. CRST_CFD.UK (Short)\n5. CBG_CFD.UK (Long)\n\nAre there any sector conflicts?\n- PAGE: Recruitment\n- BOY: Industrial\n- IWG: Real Estate\n- CRST: Construction/Housing\n- CBG: Financials\nAll different sectors. Perfect.\n\nLet's refine the scores and reasons.\n\n1. **PAGE_CFD.UK**\n   - Score: 95\n   - Reason: Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\n\n2. **BOY_CFD.UK**\n   - Score: 92\n   - Reason: Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\n\n3. **IWG_CFD.UK**\n   - Score: 88\n   - Reason: Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\n\n4. **CRST_CFD.UK**\n   - Score: 85\n   - Reason: Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\n\n5. **CBG_CFD.UK**\n   - Score: 87\n   - Reason: Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\n\nRejected reasons:\n- SYNT_CFD.UK: 1-day change +79% is too extreme/binary, high volatility (569%) suggests event-driven risk.\n- HYQ_CFD.DE: While deeply oversold vs MA200, 1-day move (-8.5%) is less extreme than top candidates for short-term reversion.\n- US Symbols (MRNA, NVAX, COTY): Excluded due to EU region focus.\n\nDouble check constraints:\n- Select exactly 5 candidates: Yes.\n- Avoid earnings: Unknown, skipped.\n- Avoid binary moves: SYNT excluded.\n- Max 1 per sector: Sectors are distinct (Recruitment, Industrial, RE, Construction, Finance).\n- Region: UK stocks are selected (often grouped with EU in these broad scans or the universe provided is the constraint). The prompt says `region: \"EU\"` but the universe has UK, DE, FR. I will assume UK is valid within the provided universe context. If I must be strict on \"EU\" (Continent), I would need to pick DE/FR. Let's check DE/FR candidates again.\n  - HYQ_CFD.DE: -8.5% day, -47% MA200.\n  - UN0_CFD.DE: +3.1% day, +11% MA50. Not strong.\n  - FII_CFD.FR: -0.3% day. Not strong.\n  - SAVE_CFD.FR: +2.0% day. Not strong.\n  The only strong EU (Continental) candidate is HYQ. The others are weak signals. The UK candidates have very strong signals (20-30% daily moves). In trading, signal strength usually overrides regional sub-classification if the universe is mixed. I will proceed with the UK stocks as they offer the best mean reversion setup based on the data.\n\nWait, `universe_symbols_eu` is empty in the strategy config. The `universe` list passed in the prompt contains the actual data. I must select from the `universe` list.\n\nFinal check on JSON structure.\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"PAGE_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"Extreme 1-day drop (-36.8%) and significant deviation from MA50 (-31.7%) suggests oversold conditions ripe for bounce.\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"Strong 1-day surge (+24.1%) combined with high distance from MA200 (+28.6%) indicates overbought status.\"\n    },\n    {\n      \"symbol\": \"IWG_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"Sharp 1-day decline (-26.7%) with price -22.1% below MA50 signals short-term oversold territory.\"\n    },\n    {\n      \"symbol\": \"CBG_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"Major 1-day sell-off (-26.6%) with price -22.1% below MA50 indicates mean reversion opportunity.\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"Significant 1-day gain (+24.8%) and price trading +17.8% above MA50 suggests potential pullback.\"\n    }\n  ],\n  \"rejected_common_reasons\": [\"SYNT_CFD.UK excluded due to extreme binary move (+79% 1-day change)\", \"US symbols excluded based on EU region focus\"]\n}\n```\nI need to make sure I don't invent prices. I am using the provided data.\nI need to make sure I don't invent sectors. I am inferring sectors from names to ensure diversity, but the output doesn't require sector field, just selection",
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