Arena run #1160

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": "HAS_CFD.UK", "name": "HAYS PLC", "sector": "", "last_price": 47.66, "change_1d_pct": -17.213826645822483, "distance_from_ma200_pct": -26.546854506980832, "distance_from_ma50_pct": -12.888674431016456, "volatility_20d_pct": 117.95597135078918, "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": "RS1_CFD.UK", "name": "RS GROUP PLC", "sector": "", "last_price": 725.5, "change_1d_pct": 23.91118701964132, "distance_from_ma200_pct": 26.42587431420933, "distance_from_ma50_pct": 23.74236481466445, "volatility_20d_pct": 102.67597620645313, "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": "MGNS_CFD.UK", "name": "MORGAN SINDALL GROUP PLC", "sector": "", "last_price": 5370.0, "change_1d_pct": 19.599109131403125, "distance_from_ma200_pct": 32.00382943846654, "distance_from_ma50_pct": 15.63012691493826, "volatility_20d_pct": 90.38530398603771, "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.UK", "name": "GENUIT GROUP PLC", "sector": "", "last_price": 370.0, "change_1d_pct": 13.671274961597547, "distance_from_ma200_pct": 1.1384913963945476, "distance_from_ma50_pct": 7.521632190000593, "volatility_20d_pct": 112.82453945409682, "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": "JUP_CFD.UK", "name": "JUPITER FUND MANAGEMENT", "sector": "", "last_price": 193.6, "change_1d_pct": 22.06809583858764, "distance_from_ma200_pct": 57.65825374753912, "distance_from_ma50_pct": 19.274691586205538, "volatility_20d_pct": 96.15961444303547, "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": "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": "FGP_CFD.UK", "name": "FIRSTGROUP PLC", "sector": "", "last_price": 193.2, "change_1d_pct": 1.3109596224436304, "distance_from_ma200_pct": -4.044842646206826, "distance_from_ma50_pct": 1.7250076083144883, "volatility_20d_pct": 88.3516119820011, "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": "ICG_CFD.UK", "name": "ICG Plc", "sector": "", "last_price": 1693.0, "change_1d_pct": -15.18545979199647, "distance_from_ma200_pct": -16.18296530905513, "distance_from_ma50_pct": -12.256151916578562, "volatility_20d_pct": 73.10253575454833, "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": "SAFE_CFD.UK", "name": "SAFESTORE HOLDINGS PLC", "sector": "", "last_price": 708.0, "change_1d_pct": 0.14144271570013522, "distance_from_ma200_pct": 7.079918522466522, "distance_from_ma50_pct": -2.535991476029087, "volatility_20d_pct": 107.99712610776675, "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": "RHIM_CFD.UK", "name": "RHI MAGNESITA NV", "sector": "", "last_price": 2550.0, "change_1d_pct": -6.764168190127973, "distance_from_ma200_pct": -2.35709026809392, "distance_from_ma50_pct": 0.9429816244979738, "volatility_20d_pct": 151.25590362229855, "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": "PNN_CFD.UK", "name": "PENNON GROUP PLC", "sector": "", "last_price": 599.27, "change_1d_pct": 16.58722592945663, "distance_from_ma200_pct": 23.75684537859759, "distance_from_ma50_pct": 16.983140154106113, "volatility_20d_pct": 84.07433118596934, "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": 722.5, "change_1d_pct": -1.0951403148528382, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -1.628407265201648, "volatility_20d_pct": 2239.4661443465884, "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": "CMCX_CFD.UK", "name": "CMC MARKETS PLC", "sector": "", "last_price": 325.0, "change_1d_pct": 0.0, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 2.8513560555713857, "volatility_20d_pct": 3004.223066122388, "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": "HAIN_CFD.US", "name": "The Hain Celestial Group Inc", "sector": "", "last_price": 0.7051, "change_1d_pct": -0.18403171007929098, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -33.19918220868079, "volatility_20d_pct": 9562.636249272142, "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": "CFEB_CFD.BE", "name": "Compagnie d'Entreprises CFE SA", "sector": "", "last_price": 9.9, "change_1d_pct": 4.6511627906976605, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 9.416445623342184, "volatility_20d_pct": 2316.9595725659747, "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": 313.0, "change_1d_pct": 0.3205128205128194, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 0.8343803356850588, "volatility_20d_pct": 2871.9337920464413, "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": "CCL_CFD.UK", "name": "CARNIVAL PLC", "sector": "", "last_price": 1921.5, "change_1d_pct": -6.541828793774318, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -14.683615213991775, "volatility_20d_pct": 5150.407605401003, "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": "ICE_CFD.US", "name": "Intercontinental Exchange Inc", "sector": "", "last_price": 166.29, "change_1d_pct": 0.9163733462798751, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 1.0315191120842782, "volatility_20d_pct": 3562.678389244709, "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": "VST_CFD.US", "name": "Vistra Energy Corp", "sector": "", "last_price": 158.65, "change_1d_pct": -5.2270011947431305, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -2.878446544884661, "volatility_20d_pct": 4530.365230302939, "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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    "model": "moonshotai/kimi-k2-thinking-20251106",
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          "reasoning": " The user wants me to act as an \"Arena strategy executor\" for a mean-reversion strategy. I need to follow the rules strictly and output ONLY valid JSON. I cannot invent any data.\n\nLet me break down the task:\n\n1. **Task**: \"stage1_universe_scan\" - This means I need to scan the provided universe and select candidates for a mean-reversion strategy.\n2. **Region**: \"EU\" - The universe contains mostly UK CFDs, which qualifies as EU region.\n3. **Strategy**: \"meanrev-v1\" (Two-Stage LLM Mean-Reversion Arena v1)\n   - max_positions: 10\n   - max_buys_per_run: 2\n   - avoid_overtrading: true\n   - max_sells_per_run: 2\n   - max_gross_leverage: 3.0\n   - fixed_position_size: 3000.0\n4. **Selection Rules**:\n   - Horizon: 2-10 trading days\n   - Target: short-term mean reversion in liquid equities\n   - Constraints:\n     - Select exactly 5 candidates\n     - Avoid earnings within 5 trading days (if known)\n     - Avoid highly binary/event-driven moves (if known)\n     - Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\n\n5. **Universe**: Provided list of stocks with technical data. Most sectors are unknown (empty string).\n\n6. **Output Schema**: I need to provide:\n   - selected_stocks: array of exactly 5 stocks with symbol, mean_reversion_score (0-100), and selection_reason (short, concrete, indicator-based)\n   - rejected_common_reasons: array of strings explaining why others were rejected\n\n**Key considerations for mean reversion**:\n- Look for extreme moves in either direction (large positive or negative change_1d_pct)\n- Check distance from moving averages (MA50, MA200) - large deviations suggest potential reversion\n- Volatility should be reasonable (not too low, but extremely high might indicate binary events)\n- For long candidates: large negative moves, oversold conditions\n- For short candidates: large positive moves, overbought conditions\n\n**Analysis of each stock**:\n\n1. **HAS_CFD.UK (HAYS PLC)**: -17.2% down, -26.5% from MA200, -12.9% from MA50. High volatility (118%). Looks like a strong candidate for long mean reversion - sharp drop, well below MAs.\n\n2. **RS1_CFD.UK (RS GROUP PLC)**: +23.9% up, +26.4% from MA200, +23.7% from MA50. High volatility (103%). Strong candidate for short mean reversion - sharp rally, extended above MAs.\n\n3. **MGNS_CFD.UK (MORGAN SINDALL)**: +19.6% up, +32% from MA200, +15.6% from MA50. Volatility 90%. Good short candidate - extended move up.\n\n4. **GEN_CFD.UK (GENUIT GROUP)**: +13.7% up, +1.1% from MA200, +7.5% from MA50. Volatility 113%. Moderate extension, could be short candidate.\n\n5. **JUP_CFD.UK (JUPITER FUND MGMT)**: +22.1% up, +57.7% from MA200, +19.3% from MA50. Volatility 96%. Very strong short candidate - extremely extended from MA200.\n\n6. **BOY_CFD.UK (BODYCOTE)**: +24.2% up, +28.7% from MA200, +18.6% from MA50. Volatility 103%. Strong short candidate.\n\n7. **PAGE_CFD.UK (PAGEGROUP)**: -36.8% down, -40.6% from MA200, -31.7% from MA50. Volatility 193% (very high). Very strong long candidate but volatility is extremely high - might indicate binary event. Need to be cautious.\n\n8. **FGP_CFD.UK (FIRSTGROUP)**: +1.3% up, -4% from MA200, +1.7% from MA50. Volatility 88%. Not a strong mean reversion signal - small move, near MAs.\n\n9. **ICG_CFD.UK (ICG Plc)**: -15.2% down, -16.2% from MA200, -12.3% from MA50. Volatility 73%. Good long candidate - sharp drop, below MAs.\n\n10. **SHC_CFD.UK (SHAFTESBURY)**: -2.9% down, +0.3% from MA200, -0.8% from MA50. Volatility 64%. Not a strong signal - near MAs.\n\n11. **PAG_CFD.UK (PARAGON BANKING)**: -3.4% down, -1.3% from MA200, +0.7% from MA50. Volatility 72%. Not a strong signal - near MAs.\n\n12. **SAFE_CFD.UK (SAFESTORE)**: +0.14% up, +7.1% from MA200, -2.5% from MA50. Volatility 108%. Mixed signals, not strong.\n\n13. **RHIM_CFD.UK (RHI MAGNESITA)**: -6.8% down, -2.4% from MA200, +0.9% from MA50. Volatility 151% (high). Moderate long signal but high volatility.\n\n14. **PNN_CFD.UK (PENNON GROUP)**: +16.6% up, +23.8% from MA200, +17% from MA50. Volatility 84%. Good short candidate.\n\n15. **BBY_CFD.UK (BALFOUR BEATTY)**: -1.1% down, distance_from_ma200_pct is null, -1.6% from MA50. Volatility 2239% (extremely high - likely data error or binary event). Must reject.\n\n16. **CMCX_CFD.UK (CMC MARKETS)**: 0% change, distance_from_ma200_pct is null, +2.9% from MA50. Volatility 3004% (extremely high). Must reject.\n\n17. **HAIN_CFD.US**: -0.18% down, distance_from_ma200_pct is null, -33.2% from MA50. Volatility 9562% (extremely high). US stock, but region is EU - should probably reject due to data quality.\n\n18. **CFEB_CFD.BE**: +4.7% up, distance_from_ma200_pct is null, +9.4% from MA50. Volatility 2317% (extremely high). Belgian stock, but volatility is crazy. Reject.\n\n19. **ATG_CFD.UK**: +0.32% up, distance_from_ma200_pct is null, +0.8% from MA50. Volatility 2872% (extremely high). Reject.\n\n20. **CCL_CFD.UK**: -6.5% down, distance_from_ma200_pct is null, -14.7% from MA50. Volatility 5150% (extremely high). Reject.\n\n21. **ICE_CFD.US**: +0.9% up, distance_from_ma200_pct is null, +1.0% from MA50. Volatility 3563% (extremely high). US stock, reject.\n\n22. **VST_CFD.US**: -5.2% down, distance_from_ma200_pct is null, -2.9% from MA50. Volatility 4530% (extremely high). US stock, reject.\n\n**Selection strategy**:\n- I need exactly 5 candidates\n- Since sectors are unknown, I cannot enforce sector diversification, but I should still pick a mix\n- I should prioritize stocks with clear mean-reversion signals and reasonable volatility\n- I should avoid stocks with extremely high volatility (likely data errors or binary events)\n- I should avoid stocks with missing MA data if possible\n\n**Top candidates**:\n**Long candidates** (oversold):\n1. HAS_CFD.UK: -17.2% day, -26.5% from MA200, volatility 118% - STRONG\n2. ICG_CFD.UK: -15.2% day, -16.2% from MA200, volatility 73% - STRONG\n3. PAGE_CFD.UK: -36.8% day, -40.6% from MA200, volatility 193% - VERY EXTREME but high vol\n4. RHIM_CFD.UK: -6.8% day, -2.4% from MA200, volatility 151% - MODERATE\n\n**Short candidates** (overbought):\n1. JUP_CFD.UK: +22.1% day, +57.7% from MA200, volatility 96% - STRONGEST\n2. BOY_CFD.UK: +24.2% day, +28.7% from MA200, volatility 103% - STRONG\n3. RS1_CFD.UK: +23.9% day, +26.4% from MA200, volatility 103% - STRONG\n4. MGNS_CFD.UK: +19.6% day, +32% from MA200, volatility 90% - STRONG\n5. PNN_CFD.UK: +16.6% day, +23.8% from MA200, volatility 84% - GOOD\n\n**Rejection criteria**:\n- Extremely high volatility (>500%): BBY, CMCX, HAIN, CFEB, ATG, CCL, ICE, VST\n- Missing MA200 data combined with extreme volatility\n- US stocks in EU scan (though the task is EU region, some US stocks are in the list)\n- Small moves near MAs: FGP, SHC, PAG, SAFE\n\n**My selection**:\nI need to pick exactly 5. For mean reversion, I want a mix of long and short opportunities.\n\n1. **HAS_CFD.UK** (LONG): Clear oversold, -17% day, -26% from MA200, reasonable vol\n2. **ICG_CFD.UK** (LONG): -15% day, -16% from MA200, lower vol (73%)\n3. **JUP_CFD.UK** (SHORT): Most extended, +57% from MA200, +22% day\n4. **BOY_CFD.UK** (SHORT): Strong rally, +24% day, +28% from MA200\n5. **RS1_CFD.UK** (SHORT): Strong rally, +24% day, +26% from MA200\n\nWait, that's 3 shorts and 2 longs. That's a good balance. But let me check if I should include PAGE_CFD.UK instead of one of these. PAGE has a massive -36.8% drop but volatility is 193% which is high but not as extreme as the ones I'm rejecting. However, 193% is still quite high and might indicate a binary event. I'll stick with my selection.\n\nActually, let me reconsider. The strategy is \"Two-Stage LLM Mean-Reversion\". The selection should be based on mean-reversion potential. I should score them:\n\n**Scoring logic** (0-100)**:\n- Large deviation from MA50/MA200: higher score\n- Large 1-day move: higher score\n- Moderate volatility (not too low, not extremely high): higher score\n- For longs: negative moves and below MAs\n- For shorts: positive moves and above MAs\n\nLet me score my candidates:\n\n1. **HAS_CFD.UK**: \n   - 1d: -17.2% (strong)\n   - vs MA200: -26.5% (very strong)\n   - vs MA50: -12.9% (strong)\n   - Vol: 118% (acceptable)\n   - Score: 85\n\n2. **ICG_CFD.UK**:\n   - 1d: -15.2% (strong)\n   - vs MA200: -16.2% (strong)\n   - vs MA50: -12.3% (strong)\n   - Vol: 73% (good, moderate)\n   - Score: 80\n\n3. **JUP_CFD.UK**:\n   - 1d: +22.1% (strong)\n   - vs MA200: +57.7% (extremely strong)\n   - vs MA50: +19.3% (strong)\n   - Vol: 96% (acceptable)\n   - Score: 90 (highest extension)\n\n4. **BOY_CFD.UK**:\n   - 1d: +24.2% (very strong)\n   - vs MA200: +28.7% (very strong)\n   - vs MA50: +18.6% (strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\n5. **RS1_CFD.UK**:\n   - 1d: +23.9% (very strong)\n   - vs MA200: +26.4% (very strong)\n   - vs MA50: +23.7% (very strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\nI could also consider MGNS_CFD.UK or PNN_CFD.UK as alternatives, but the ones I've selected have the clearest signals.\n\n**Rejected reasons**:\n- Extreme volatility (>500%): data quality issues or binary events\n- Missing key technical data (MA200) combined with high volatility\n- Insufficient mean-reversion signal (small moves, near MAs)\n- US stocks in EU scan (though the main issue is data quality)\n\nLet me finalize my selection:\n\n**Selected**:\n1. HAS_CFD.UK - Long - Score 85\n2. ICG_CFD.UK - Long - Score 80\n3. JUP_CFD.UK - Short - Score 90\n4. BOY_CFD.UK - Short - Score 85\n5. RS1_CFD.UK - Short - Score 85\n\nWait, I have 3 shorts and 2 longs. The strategy doesn't specify a required balance, but mean-reversion often works both ways. This should be fine.\n\nActually, let me reconsider PAGE_CFD.UK. It has a -36.8% drop which is massive, but volatility is 193%. This is high but not in the \"extreme\" category like the >500% ones. The extreme drop could be a great mean-reversion opportunity. Let me compare:\n\nPAGE_CFD.UK vs HAS_CFD.UK:\n- PAGE: -36.8% day, -40.6% from MA200, vol 193%\n- HAS: -17.2% day, -26.5% from MA200, vol 118%\n\nPAGE has a stronger signal but higher risk due to volatility. Given the constraint to avoid binary/event-driven moves, the 193% volatility might be a red flag. I'll stick with HAS and ICG for longs.\n\nFinal selection remains:\n1. HAS_CFD.UK (LONG)\n2. ICG_CFD.UK (LONG)\n3. JUP_CFD.UK (SHORT)\n4. BOY_CFD.UK (SHORT)\n5. RS1_CFD.UK (SHORT)\n\nNow I need to write concise, indicator-based selection reasons.\n\n**Selection reasons**:\n- HAS: \"17% single-day drop, 26% below MA200, high volume move\"\n- ICG: \"15% single-day drop, 16% below MA200, moderate volatility\"\n- JUP: \"22% single-day rally, 58% above MA200, extreme extension\"\n- BOY: \"24% single-day rally, 29% above MA200, strong overbought\"\n- RS1: \"24% single-day rally, 26% above MA200, strong overbought\"\n\n**Rejected reasons**:\n- \"Extreme volatility (>500%) indicating data errors or binary events\"\n- \"Missing MA200 data combined with high volatility\"\n- \"Insufficient deviation from moving averages for mean-reversion signal\"\n- \"US symbols in EU scan with poor data quality\"\n\nI need to make sure I output ONLY valid JSON. Let me construct it properly.\n\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"HAS_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"17% single-day drop, 26% below MA200, oversold conditions\"\n    },\n    {\n      \"symbol\": \"ICG_CFD.UK\",\n      \"mean_reversion_score\": 80,\n      \"selection_reason\": \"15% single-day drop, 16% below MA200, moderate volatility\"\n    },\n    {\n      \"symbol\": \"JUP_CFD.UK\",\n      \"mean_reversion_score\": 90,\n      \"selection_reason\": \"22% single-day rally, 58% above MA200, extreme extension\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 29% above MA200, overbought conditions\"\n    },\n    {\n      \"symbol\": \"RS1_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 26% above MA200, overbought conditions\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Extreme volatility (>500%) indicating potential data errors or binary events\",\n    \"Missing key technical indicators (MA200) combined with elevated volatility\",\n    \"Insufficient price deviation from moving averages for mean-reversion setup\",\n    \"US symbols included in EU scan with poor data quality metrics\"\n  ]\n}\n```\n\nWait, I should double-check the constraints:\n- \"Select exactly 5 candidates\" - Yes, I have 5\n- \"Avoid earnings within 5 trading days (if known)\" - No earnings data known, so this doesn't apply\n- \"Avoid highly binary/event-driven moves (if known)\" - I'm rejecting high volatility stocks which could indicate this\n- \"Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\" - All sectors are unknown, so I cannot enforce this. The constraint says \"sector may be unknown\", so it's acceptable.\n\nThe output looks good. Let me verify it's valid JSON and",
          "reasoning_details": [
            {
              "text": " The user wants me to act as an \"Arena strategy executor\" for a mean-reversion strategy. I need to follow the rules strictly and output ONLY valid JSON. I cannot invent any data.\n\nLet me break down the task:\n\n1. **Task**: \"stage1_universe_scan\" - This means I need to scan the provided universe and select candidates for a mean-reversion strategy.\n2. **Region**: \"EU\" - The universe contains mostly UK CFDs, which qualifies as EU region.\n3. **Strategy**: \"meanrev-v1\" (Two-Stage LLM Mean-Reversion Arena v1)\n   - max_positions: 10\n   - max_buys_per_run: 2\n   - avoid_overtrading: true\n   - max_sells_per_run: 2\n   - max_gross_leverage: 3.0\n   - fixed_position_size: 3000.0\n4. **Selection Rules**:\n   - Horizon: 2-10 trading days\n   - Target: short-term mean reversion in liquid equities\n   - Constraints:\n     - Select exactly 5 candidates\n     - Avoid earnings within 5 trading days (if known)\n     - Avoid highly binary/event-driven moves (if known)\n     - Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\n\n5. **Universe**: Provided list of stocks with technical data. Most sectors are unknown (empty string).\n\n6. **Output Schema**: I need to provide:\n   - selected_stocks: array of exactly 5 stocks with symbol, mean_reversion_score (0-100), and selection_reason (short, concrete, indicator-based)\n   - rejected_common_reasons: array of strings explaining why others were rejected\n\n**Key considerations for mean reversion**:\n- Look for extreme moves in either direction (large positive or negative change_1d_pct)\n- Check distance from moving averages (MA50, MA200) - large deviations suggest potential reversion\n- Volatility should be reasonable (not too low, but extremely high might indicate binary events)\n- For long candidates: large negative moves, oversold conditions\n- For short candidates: large positive moves, overbought conditions\n\n**Analysis of each stock**:\n\n1. **HAS_CFD.UK (HAYS PLC)**: -17.2% down, -26.5% from MA200, -12.9% from MA50. High volatility (118%). Looks like a strong candidate for long mean reversion - sharp drop, well below MAs.\n\n2. **RS1_CFD.UK (RS GROUP PLC)**: +23.9% up, +26.4% from MA200, +23.7% from MA50. High volatility (103%). Strong candidate for short mean reversion - sharp rally, extended above MAs.\n\n3. **MGNS_CFD.UK (MORGAN SINDALL)**: +19.6% up, +32% from MA200, +15.6% from MA50. Volatility 90%. Good short candidate - extended move up.\n\n4. **GEN_CFD.UK (GENUIT GROUP)**: +13.7% up, +1.1% from MA200, +7.5% from MA50. Volatility 113%. Moderate extension, could be short candidate.\n\n5. **JUP_CFD.UK (JUPITER FUND MGMT)**: +22.1% up, +57.7% from MA200, +19.3% from MA50. Volatility 96%. Very strong short candidate - extremely extended from MA200.\n\n6. **BOY_CFD.UK (BODYCOTE)**: +24.2% up, +28.7% from MA200, +18.6% from MA50. Volatility 103%. Strong short candidate.\n\n7. **PAGE_CFD.UK (PAGEGROUP)**: -36.8% down, -40.6% from MA200, -31.7% from MA50. Volatility 193% (very high). Very strong long candidate but volatility is extremely high - might indicate binary event. Need to be cautious.\n\n8. **FGP_CFD.UK (FIRSTGROUP)**: +1.3% up, -4% from MA200, +1.7% from MA50. Volatility 88%. Not a strong mean reversion signal - small move, near MAs.\n\n9. **ICG_CFD.UK (ICG Plc)**: -15.2% down, -16.2% from MA200, -12.3% from MA50. Volatility 73%. Good long candidate - sharp drop, below MAs.\n\n10. **SHC_CFD.UK (SHAFTESBURY)**: -2.9% down, +0.3% from MA200, -0.8% from MA50. Volatility 64%. Not a strong signal - near MAs.\n\n11. **PAG_CFD.UK (PARAGON BANKING)**: -3.4% down, -1.3% from MA200, +0.7% from MA50. Volatility 72%. Not a strong signal - near MAs.\n\n12. **SAFE_CFD.UK (SAFESTORE)**: +0.14% up, +7.1% from MA200, -2.5% from MA50. Volatility 108%. Mixed signals, not strong.\n\n13. **RHIM_CFD.UK (RHI MAGNESITA)**: -6.8% down, -2.4% from MA200, +0.9% from MA50. Volatility 151% (high). Moderate long signal but high volatility.\n\n14. **PNN_CFD.UK (PENNON GROUP)**: +16.6% up, +23.8% from MA200, +17% from MA50. Volatility 84%. Good short candidate.\n\n15. **BBY_CFD.UK (BALFOUR BEATTY)**: -1.1% down, distance_from_ma200_pct is null, -1.6% from MA50. Volatility 2239% (extremely high - likely data error or binary event). Must reject.\n\n16. **CMCX_CFD.UK (CMC MARKETS)**: 0% change, distance_from_ma200_pct is null, +2.9% from MA50. Volatility 3004% (extremely high). Must reject.\n\n17. **HAIN_CFD.US**: -0.18% down, distance_from_ma200_pct is null, -33.2% from MA50. Volatility 9562% (extremely high). US stock, but region is EU - should probably reject due to data quality.\n\n18. **CFEB_CFD.BE**: +4.7% up, distance_from_ma200_pct is null, +9.4% from MA50. Volatility 2317% (extremely high). Belgian stock, but volatility is crazy. Reject.\n\n19. **ATG_CFD.UK**: +0.32% up, distance_from_ma200_pct is null, +0.8% from MA50. Volatility 2872% (extremely high). Reject.\n\n20. **CCL_CFD.UK**: -6.5% down, distance_from_ma200_pct is null, -14.7% from MA50. Volatility 5150% (extremely high). Reject.\n\n21. **ICE_CFD.US**: +0.9% up, distance_from_ma200_pct is null, +1.0% from MA50. Volatility 3563% (extremely high). US stock, reject.\n\n22. **VST_CFD.US**: -5.2% down, distance_from_ma200_pct is null, -2.9% from MA50. Volatility 4530% (extremely high). US stock, reject.\n\n**Selection strategy**:\n- I need exactly 5 candidates\n- Since sectors are unknown, I cannot enforce sector diversification, but I should still pick a mix\n- I should prioritize stocks with clear mean-reversion signals and reasonable volatility\n- I should avoid stocks with extremely high volatility (likely data errors or binary events)\n- I should avoid stocks with missing MA data if possible\n\n**Top candidates**:\n**Long candidates** (oversold):\n1. HAS_CFD.UK: -17.2% day, -26.5% from MA200, volatility 118% - STRONG\n2. ICG_CFD.UK: -15.2% day, -16.2% from MA200, volatility 73% - STRONG\n3. PAGE_CFD.UK: -36.8% day, -40.6% from MA200, volatility 193% - VERY EXTREME but high vol\n4. RHIM_CFD.UK: -6.8% day, -2.4% from MA200, volatility 151% - MODERATE\n\n**Short candidates** (overbought):\n1. JUP_CFD.UK: +22.1% day, +57.7% from MA200, volatility 96% - STRONGEST\n2. BOY_CFD.UK: +24.2% day, +28.7% from MA200, volatility 103% - STRONG\n3. RS1_CFD.UK: +23.9% day, +26.4% from MA200, volatility 103% - STRONG\n4. MGNS_CFD.UK: +19.6% day, +32% from MA200, volatility 90% - STRONG\n5. PNN_CFD.UK: +16.6% day, +23.8% from MA200, volatility 84% - GOOD\n\n**Rejection criteria**:\n- Extremely high volatility (>500%): BBY, CMCX, HAIN, CFEB, ATG, CCL, ICE, VST\n- Missing MA200 data combined with extreme volatility\n- US stocks in EU scan (though the task is EU region, some US stocks are in the list)\n- Small moves near MAs: FGP, SHC, PAG, SAFE\n\n**My selection**:\nI need to pick exactly 5. For mean reversion, I want a mix of long and short opportunities.\n\n1. **HAS_CFD.UK** (LONG): Clear oversold, -17% day, -26% from MA200, reasonable vol\n2. **ICG_CFD.UK** (LONG): -15% day, -16% from MA200, lower vol (73%)\n3. **JUP_CFD.UK** (SHORT): Most extended, +57% from MA200, +22% day\n4. **BOY_CFD.UK** (SHORT): Strong rally, +24% day, +28% from MA200\n5. **RS1_CFD.UK** (SHORT): Strong rally, +24% day, +26% from MA200\n\nWait, that's 3 shorts and 2 longs. That's a good balance. But let me check if I should include PAGE_CFD.UK instead of one of these. PAGE has a massive -36.8% drop but volatility is 193% which is high but not as extreme as the ones I'm rejecting. However, 193% is still quite high and might indicate a binary event. I'll stick with my selection.\n\nActually, let me reconsider. The strategy is \"Two-Stage LLM Mean-Reversion\". The selection should be based on mean-reversion potential. I should score them:\n\n**Scoring logic** (0-100)**:\n- Large deviation from MA50/MA200: higher score\n- Large 1-day move: higher score\n- Moderate volatility (not too low, not extremely high): higher score\n- For longs: negative moves and below MAs\n- For shorts: positive moves and above MAs\n\nLet me score my candidates:\n\n1. **HAS_CFD.UK**: \n   - 1d: -17.2% (strong)\n   - vs MA200: -26.5% (very strong)\n   - vs MA50: -12.9% (strong)\n   - Vol: 118% (acceptable)\n   - Score: 85\n\n2. **ICG_CFD.UK**:\n   - 1d: -15.2% (strong)\n   - vs MA200: -16.2% (strong)\n   - vs MA50: -12.3% (strong)\n   - Vol: 73% (good, moderate)\n   - Score: 80\n\n3. **JUP_CFD.UK**:\n   - 1d: +22.1% (strong)\n   - vs MA200: +57.7% (extremely strong)\n   - vs MA50: +19.3% (strong)\n   - Vol: 96% (acceptable)\n   - Score: 90 (highest extension)\n\n4. **BOY_CFD.UK**:\n   - 1d: +24.2% (very strong)\n   - vs MA200: +28.7% (very strong)\n   - vs MA50: +18.6% (strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\n5. **RS1_CFD.UK**:\n   - 1d: +23.9% (very strong)\n   - vs MA200: +26.4% (very strong)\n   - vs MA50: +23.7% (very strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\nI could also consider MGNS_CFD.UK or PNN_CFD.UK as alternatives, but the ones I've selected have the clearest signals.\n\n**Rejected reasons**:\n- Extreme volatility (>500%): data quality issues or binary events\n- Missing key technical data (MA200) combined with high volatility\n- Insufficient mean-reversion signal (small moves, near MAs)\n- US stocks in EU scan (though the main issue is data quality)\n\nLet me finalize my selection:\n\n**Selected**:\n1. HAS_CFD.UK - Long - Score 85\n2. ICG_CFD.UK - Long - Score 80\n3. JUP_CFD.UK - Short - Score 90\n4. BOY_CFD.UK - Short - Score 85\n5. RS1_CFD.UK - Short - Score 85\n\nWait, I have 3 shorts and 2 longs. The strategy doesn't specify a required balance, but mean-reversion often works both ways. This should be fine.\n\nActually, let me reconsider PAGE_CFD.UK. It has a -36.8% drop which is massive, but volatility is 193%. This is high but not in the \"extreme\" category like the >500% ones. The extreme drop could be a great mean-reversion opportunity. Let me compare:\n\nPAGE_CFD.UK vs HAS_CFD.UK:\n- PAGE: -36.8% day, -40.6% from MA200, vol 193%\n- HAS: -17.2% day, -26.5% from MA200, vol 118%\n\nPAGE has a stronger signal but higher risk due to volatility. Given the constraint to avoid binary/event-driven moves, the 193% volatility might be a red flag. I'll stick with HAS and ICG for longs.\n\nFinal selection remains:\n1. HAS_CFD.UK (LONG)\n2. ICG_CFD.UK (LONG)\n3. JUP_CFD.UK (SHORT)\n4. BOY_CFD.UK (SHORT)\n5. RS1_CFD.UK (SHORT)\n\nNow I need to write concise, indicator-based selection reasons.\n\n**Selection reasons**:\n- HAS: \"17% single-day drop, 26% below MA200, high volume move\"\n- ICG: \"15% single-day drop, 16% below MA200, moderate volatility\"\n- JUP: \"22% single-day rally, 58% above MA200, extreme extension\"\n- BOY: \"24% single-day rally, 29% above MA200, strong overbought\"\n- RS1: \"24% single-day rally, 26% above MA200, strong overbought\"\n\n**Rejected reasons**:\n- \"Extreme volatility (>500%) indicating data errors or binary events\"\n- \"Missing MA200 data combined with high volatility\"\n- \"Insufficient deviation from moving averages for mean-reversion signal\"\n- \"US symbols in EU scan with poor data quality\"\n\nI need to make sure I output ONLY valid JSON. Let me construct it properly.\n\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"HAS_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"17% single-day drop, 26% below MA200, oversold conditions\"\n    },\n    {\n      \"symbol\": \"ICG_CFD.UK\",\n      \"mean_reversion_score\": 80,\n      \"selection_reason\": \"15% single-day drop, 16% below MA200, moderate volatility\"\n    },\n    {\n      \"symbol\": \"JUP_CFD.UK\",\n      \"mean_reversion_score\": 90,\n      \"selection_reason\": \"22% single-day rally, 58% above MA200, extreme extension\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 29% above MA200, overbought conditions\"\n    },\n    {\n      \"symbol\": \"RS1_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 26% above MA200, overbought conditions\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Extreme volatility (>500%) indicating potential data errors or binary events\",\n    \"Missing key technical indicators (MA200) combined with elevated volatility\",\n    \"Insufficient price deviation from moving averages for mean-reversion setup\",\n    \"US symbols included in EU scan with poor data quality metrics\"\n  ]\n}\n```\n\nWait, I should double-check the constraints:\n- \"Select exactly 5 candidates\" - Yes, I have 5\n- \"Avoid earnings within 5 trading days (if known)\" - No earnings data known, so this doesn't apply\n- \"Avoid highly binary/event-driven moves (if known)\" - I'm rejecting high volatility stocks which could indicate this\n- \"Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\" - All sectors are unknown, so I cannot enforce this. The constraint says \"sector may be unknown\", so it's acceptable.\n\nThe output looks good. Let me verify it's valid JSON and",
              "type": "reasoning.text",
              "index": 0,
              "format": "unknown"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "length"
      }
    ],
    "created": 1775826215,
    "provider": "Nebius",
    "system_fingerprint": null
  }
}

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": "AML_CFD.UK", "qty": 82.14676889375684, "avg_price": 36.52, "last_price": 40.56, "unrealized_pnl": 331.87294633077755, "opened_at": "2026-03-09T10:19:46.508085+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": "BTRW_CFD.UK", "qty": 0.0, "avg_price": 250.8, "last_price": 263.2, "unrealized_pnl": 0.0, "opened_at": "2026-03-23T18:04:09.108429+00:00"}, {"symbol": "BYIT_CFD.UK", "qty": 0.0, "avg_price": 292.6, "last_price": 292.6, "unrealized_pnl": 0.0, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "CBG_CFD.UK", "qty": 8.748396127376648, "avg_price": 342.92, "last_price": 342.92, "unrealized_pnl": 0.0, "opened_at": "2026-03-18T17:58:33.497657+00:00"}, {"symbol": "CRST_CFD.UK", "qty": 0.0, "avg_price": 118.83, "last_price": 118.83, "unrealized_pnl": 0.0, "opened_at": "2026-03-23T10:03:51.599067+00:00"}, {"symbol": "FUTR_CFD.UK", "qty": 10.55594651653765, "avg_price": 284.2, "last_price": 285.6, "unrealized_pnl": 14.77832512315307, "opened_at": "2026-03-12T10:21:39.078796+00:00"}, {"symbol": "ICG_CFD.UK", "qty": 0.0, "avg_price": 1700.0, "last_price": 1693.0, "unrealized_pnl": 0.0, "opened_at": "2026-02-16T09:30:55.514112+00:00"}, {"symbol": "IWG_CFD.UK", "qty": 0.0, "avg_price": 177.0, "last_price": 172.2, "unrealized_pnl": 0.0, "opened_at": "2026-03-19T18:04:14.272849+00:00"}, {"symbol": "LRE_CFD.UK", "qty": 0.0, "avg_price": 576.0, "last_price": 593.0, "unrealized_pnl": 0.0, "opened_at": "2026-03-20T10:26:40.341409+00:00"}, {"symbol": "LSS_CFD.FR", "qty": 0.0, "avg_price": 17.72, "last_price": 16.0, "unrealized_pnl": -291.19638826185087, "opened_at": "2026-02-16T09:30:55.514112+00:00"}, {"symbol": "MCG_CFD.UK", "qty": 172.51293847038528, "avg_price": 17.39, "last_price": 19.05, "unrealized_pnl": 286.3714778608396, "opened_at": "2026-04-02T10:01:24.938009+00:00"}, {"symbol": "MSLH_CFD.UK", "qty": 21.30681818181818, "avg_price": 140.8, "last_price": 137.2, "unrealized_pnl": -76.70454545454594, "opened_at": "2026-03-26T17:55:26.602359+00:00"}, {"symbol": "OCDO_CFD.UK", "qty": 14.684287812041115, "avg_price": 204.3, "last_price": 186.0, "unrealized_pnl": -268.72246696035256, "opened_at": "2026-03-12T18:01:52.554929+00:00"}, {"symbol": "PAGE_CFD.UK", "qty": 0.0, "avg_price": 132.9, "last_price": 132.9, "unrealized_pnl": 0.0, "opened_at": "2026-02-28T10:51:05.818250+00:00"}, {"symbol": "PSN_CFD.UK", "qty": 2.6455026455026456, "avg_price": 1134.0, "last_price": 1167.0, "unrealized_pnl": 87.3015873015873, "opened_at": "2026-03-12T18:01:52.554929+00:00"}, {"symbol": "SYNT_CFD.UK", "qty": 0.0, "avg_price": 34.9, "last_price": 45.0, "unrealized_pnl": 0.0, "opened_at": "2026-03-23T10:03:51.599067+00:00"}, {"symbol": "TRST_CFD.UK", "qty": 0.0, "avg_price": 151.8, "last_price": 173.4, "unrealized_pnl": 0.0, "opened_at": "2026-03-14T10:03:26.036362+00:00"}, {"symbol": "UTG_CFD.UK", "qty": 0.0, "avg_price": 505.0, "last_price": 461.2, "unrealized_pnl": 0.0, "opened_at": "2026-03-26T17:55:26.602359+00:00"}, {"symbol": "VTY_CFD.UK", "qty": 8.85608856088561, "avg_price": 338.75, "last_price": 344.8, "unrealized_pnl": 53.57933579335804, "opened_at": "2026-03-12T10:21:39.078796+00:00"}, {"symbol": "WIZZ_CFD.UK", "qty": 0.0, "avg_price": 872.0, "last_price": 976.5, "unrealized_pnl": 0.0, "opened_at": "2026-03-09T10:19:46.508085+00:00"}, {"symbol": "WPP_CFD.UK", "qty": 0.0, "avg_price": 253.97436099095557, "last_price": 262.8, "unrealized_pnl": 0.0, "opened_at": "2026-02-28T10:51:05.818250+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": "Price unchanged since entry (482.8). No mean-reversion signal; maintaining position.",
        "symbol": "AUTO_CFD.UK"
      },
      {
        "reason": "Price unchanged since entry (342.92). No mean-reversion signal; maintaining position.",
        "symbol": "CBG_CFD.UK"
      },
      {
        "reason": "Minimal deviation (+0.49% from entry). Within normal range; no trade triggered.",
        "symbol": "FUTR_CFD.UK"
      },
      {
        "reason": "Down 2.56% from entry. Within expected volatility; mean-reversion favors holding for potential recovery.",
        "symbol": "MSLH_CFD.UK"
      },
      {
        "reason": "Down 8.96% from entry. Approaching oversold territory; mean-reversion strategy expects bounce. Maintaining position.",
        "symbol": "OCDO_CFD.UK"
      },
      {
        "reason": "Up 2.91% from entry. Within normal range; no clear mean-reversion signal.",
        "symbol": "PSN_CFD.UK"
      },
      {
        "reason": "Up 1.79% from entry. Within normal range; no clear mean-reversion signal.",
        "symbol": "VTY_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Mean-reversion profit-taking: position extended 11.06% above entry price (36.52→40.56). Locking in +331.87 profit and reducing leverage from 2.74x.",
        "symbol": "AML_CFD.UK"
      },
      {
        "reason": "Mean-reversion profit-taking: position extended 9.55% above entry price (17.39→19.05). Locking in +286.37 profit and freeing capital for better opportunities.",
        "symbol": "MCG_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "Portfolio holds 9 positions at 2.74x gross leverage. Selling two extended winners (AML +11.06%, MCG +9.55%) to realize +618.24 profit and reduce leverage to ~2.08x, respecting max 2 sells/run. No buy candidates provided; remaining 7 positions held as they are either near entry or showing losses that may revert upward per mean-reversion principles. This avoids overtrading while optimizing risk-adjusted returns."
}

{
  "raw": {
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    "model": "moonshotai/kimi-k2-thinking-20251106",
    "usage": {
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          "reasoning": " The user wants me to act as an \"Arena strategy executor\" for a mean-reversion strategy. I need to follow the rules strictly and output ONLY valid JSON. I cannot invent any data.\n\nLet me break down the task:\n\n1. **Task**: \"stage1_universe_scan\" - This means I need to scan the provided universe and select candidates for a mean-reversion strategy.\n2. **Region**: \"EU\" - The universe contains mostly UK CFDs, which qualifies as EU region.\n3. **Strategy**: \"meanrev-v1\" (Two-Stage LLM Mean-Reversion Arena v1)\n   - max_positions: 10\n   - max_buys_per_run: 2\n   - avoid_overtrading: true\n   - max_sells_per_run: 2\n   - max_gross_leverage: 3.0\n   - fixed_position_size: 3000.0\n4. **Selection Rules**:\n   - Horizon: 2-10 trading days\n   - Target: short-term mean reversion in liquid equities\n   - Constraints:\n     - Select exactly 5 candidates\n     - Avoid earnings within 5 trading days (if known)\n     - Avoid highly binary/event-driven moves (if known)\n     - Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\n\n5. **Universe**: Provided list of stocks with technical data. Most sectors are unknown (empty string).\n\n6. **Output Schema**: I need to provide:\n   - selected_stocks: array of exactly 5 stocks with symbol, mean_reversion_score (0-100), and selection_reason (short, concrete, indicator-based)\n   - rejected_common_reasons: array of strings explaining why others were rejected\n\n**Key considerations for mean reversion**:\n- Look for extreme moves in either direction (large positive or negative change_1d_pct)\n- Check distance from moving averages (MA50, MA200) - large deviations suggest potential reversion\n- Volatility should be reasonable (not too low, but extremely high might indicate binary events)\n- For long candidates: large negative moves, oversold conditions\n- For short candidates: large positive moves, overbought conditions\n\n**Analysis of each stock**:\n\n1. **HAS_CFD.UK (HAYS PLC)**: -17.2% down, -26.5% from MA200, -12.9% from MA50. High volatility (118%). Looks like a strong candidate for long mean reversion - sharp drop, well below MAs.\n\n2. **RS1_CFD.UK (RS GROUP PLC)**: +23.9% up, +26.4% from MA200, +23.7% from MA50. High volatility (103%). Strong candidate for short mean reversion - sharp rally, extended above MAs.\n\n3. **MGNS_CFD.UK (MORGAN SINDALL)**: +19.6% up, +32% from MA200, +15.6% from MA50. Volatility 90%. Good short candidate - extended move up.\n\n4. **GEN_CFD.UK (GENUIT GROUP)**: +13.7% up, +1.1% from MA200, +7.5% from MA50. Volatility 113%. Moderate extension, could be short candidate.\n\n5. **JUP_CFD.UK (JUPITER FUND MGMT)**: +22.1% up, +57.7% from MA200, +19.3% from MA50. Volatility 96%. Very strong short candidate - extremely extended from MA200.\n\n6. **BOY_CFD.UK (BODYCOTE)**: +24.2% up, +28.7% from MA200, +18.6% from MA50. Volatility 103%. Strong short candidate.\n\n7. **PAGE_CFD.UK (PAGEGROUP)**: -36.8% down, -40.6% from MA200, -31.7% from MA50. Volatility 193% (very high). Very strong long candidate but volatility is extremely high - might indicate binary event. Need to be cautious.\n\n8. **FGP_CFD.UK (FIRSTGROUP)**: +1.3% up, -4% from MA200, +1.7% from MA50. Volatility 88%. Not a strong mean reversion signal - small move, near MAs.\n\n9. **ICG_CFD.UK (ICG Plc)**: -15.2% down, -16.2% from MA200, -12.3% from MA50. Volatility 73%. Good long candidate - sharp drop, below MAs.\n\n10. **SHC_CFD.UK (SHAFTESBURY)**: -2.9% down, +0.3% from MA200, -0.8% from MA50. Volatility 64%. Not a strong signal - near MAs.\n\n11. **PAG_CFD.UK (PARAGON BANKING)**: -3.4% down, -1.3% from MA200, +0.7% from MA50. Volatility 72%. Not a strong signal - near MAs.\n\n12. **SAFE_CFD.UK (SAFESTORE)**: +0.14% up, +7.1% from MA200, -2.5% from MA50. Volatility 108%. Mixed signals, not strong.\n\n13. **RHIM_CFD.UK (RHI MAGNESITA)**: -6.8% down, -2.4% from MA200, +0.9% from MA50. Volatility 151% (high). Moderate long signal but high volatility.\n\n14. **PNN_CFD.UK (PENNON GROUP)**: +16.6% up, +23.8% from MA200, +17% from MA50. Volatility 84%. Good short candidate.\n\n15. **BBY_CFD.UK (BALFOUR BEATTY)**: -1.1% down, distance_from_ma200_pct is null, -1.6% from MA50. Volatility 2239% (extremely high - likely data error or binary event). Must reject.\n\n16. **CMCX_CFD.UK (CMC MARKETS)**: 0% change, distance_from_ma200_pct is null, +2.9% from MA50. Volatility 3004% (extremely high). Must reject.\n\n17. **HAIN_CFD.US**: -0.18% down, distance_from_ma200_pct is null, -33.2% from MA50. Volatility 9562% (extremely high). US stock, but region is EU - should probably reject due to data quality.\n\n18. **CFEB_CFD.BE**: +4.7% up, distance_from_ma200_pct is null, +9.4% from MA50. Volatility 2317% (extremely high). Belgian stock, but volatility is crazy. Reject.\n\n19. **ATG_CFD.UK**: +0.32% up, distance_from_ma200_pct is null, +0.8% from MA50. Volatility 2872% (extremely high). Reject.\n\n20. **CCL_CFD.UK**: -6.5% down, distance_from_ma200_pct is null, -14.7% from MA50. Volatility 5150% (extremely high). Reject.\n\n21. **ICE_CFD.US**: +0.9% up, distance_from_ma200_pct is null, +1.0% from MA50. Volatility 3563% (extremely high). US stock, reject.\n\n22. **VST_CFD.US**: -5.2% down, distance_from_ma200_pct is null, -2.9% from MA50. Volatility 4530% (extremely high). US stock, reject.\n\n**Selection strategy**:\n- I need exactly 5 candidates\n- Since sectors are unknown, I cannot enforce sector diversification, but I should still pick a mix\n- I should prioritize stocks with clear mean-reversion signals and reasonable volatility\n- I should avoid stocks with extremely high volatility (likely data errors or binary events)\n- I should avoid stocks with missing MA data if possible\n\n**Top candidates**:\n**Long candidates** (oversold):\n1. HAS_CFD.UK: -17.2% day, -26.5% from MA200, volatility 118% - STRONG\n2. ICG_CFD.UK: -15.2% day, -16.2% from MA200, volatility 73% - STRONG\n3. PAGE_CFD.UK: -36.8% day, -40.6% from MA200, volatility 193% - VERY EXTREME but high vol\n4. RHIM_CFD.UK: -6.8% day, -2.4% from MA200, volatility 151% - MODERATE\n\n**Short candidates** (overbought):\n1. JUP_CFD.UK: +22.1% day, +57.7% from MA200, volatility 96% - STRONGEST\n2. BOY_CFD.UK: +24.2% day, +28.7% from MA200, volatility 103% - STRONG\n3. RS1_CFD.UK: +23.9% day, +26.4% from MA200, volatility 103% - STRONG\n4. MGNS_CFD.UK: +19.6% day, +32% from MA200, volatility 90% - STRONG\n5. PNN_CFD.UK: +16.6% day, +23.8% from MA200, volatility 84% - GOOD\n\n**Rejection criteria**:\n- Extremely high volatility (>500%): BBY, CMCX, HAIN, CFEB, ATG, CCL, ICE, VST\n- Missing MA200 data combined with extreme volatility\n- US stocks in EU scan (though the task is EU region, some US stocks are in the list)\n- Small moves near MAs: FGP, SHC, PAG, SAFE\n\n**My selection**:\nI need to pick exactly 5. For mean reversion, I want a mix of long and short opportunities.\n\n1. **HAS_CFD.UK** (LONG): Clear oversold, -17% day, -26% from MA200, reasonable vol\n2. **ICG_CFD.UK** (LONG): -15% day, -16% from MA200, lower vol (73%)\n3. **JUP_CFD.UK** (SHORT): Most extended, +57% from MA200, +22% day\n4. **BOY_CFD.UK** (SHORT): Strong rally, +24% day, +28% from MA200\n5. **RS1_CFD.UK** (SHORT): Strong rally, +24% day, +26% from MA200\n\nWait, that's 3 shorts and 2 longs. That's a good balance. But let me check if I should include PAGE_CFD.UK instead of one of these. PAGE has a massive -36.8% drop but volatility is 193% which is high but not as extreme as the ones I'm rejecting. However, 193% is still quite high and might indicate a binary event. I'll stick with my selection.\n\nActually, let me reconsider. The strategy is \"Two-Stage LLM Mean-Reversion\". The selection should be based on mean-reversion potential. I should score them:\n\n**Scoring logic** (0-100)**:\n- Large deviation from MA50/MA200: higher score\n- Large 1-day move: higher score\n- Moderate volatility (not too low, not extremely high): higher score\n- For longs: negative moves and below MAs\n- For shorts: positive moves and above MAs\n\nLet me score my candidates:\n\n1. **HAS_CFD.UK**: \n   - 1d: -17.2% (strong)\n   - vs MA200: -26.5% (very strong)\n   - vs MA50: -12.9% (strong)\n   - Vol: 118% (acceptable)\n   - Score: 85\n\n2. **ICG_CFD.UK**:\n   - 1d: -15.2% (strong)\n   - vs MA200: -16.2% (strong)\n   - vs MA50: -12.3% (strong)\n   - Vol: 73% (good, moderate)\n   - Score: 80\n\n3. **JUP_CFD.UK**:\n   - 1d: +22.1% (strong)\n   - vs MA200: +57.7% (extremely strong)\n   - vs MA50: +19.3% (strong)\n   - Vol: 96% (acceptable)\n   - Score: 90 (highest extension)\n\n4. **BOY_CFD.UK**:\n   - 1d: +24.2% (very strong)\n   - vs MA200: +28.7% (very strong)\n   - vs MA50: +18.6% (strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\n5. **RS1_CFD.UK**:\n   - 1d: +23.9% (very strong)\n   - vs MA200: +26.4% (very strong)\n   - vs MA50: +23.7% (very strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\nI could also consider MGNS_CFD.UK or PNN_CFD.UK as alternatives, but the ones I've selected have the clearest signals.\n\n**Rejected reasons**:\n- Extreme volatility (>500%): data quality issues or binary events\n- Missing key technical data (MA200) combined with high volatility\n- Insufficient mean-reversion signal (small moves, near MAs)\n- US stocks in EU scan (though the main issue is data quality)\n\nLet me finalize my selection:\n\n**Selected**:\n1. HAS_CFD.UK - Long - Score 85\n2. ICG_CFD.UK - Long - Score 80\n3. JUP_CFD.UK - Short - Score 90\n4. BOY_CFD.UK - Short - Score 85\n5. RS1_CFD.UK - Short - Score 85\n\nWait, I have 3 shorts and 2 longs. The strategy doesn't specify a required balance, but mean-reversion often works both ways. This should be fine.\n\nActually, let me reconsider PAGE_CFD.UK. It has a -36.8% drop which is massive, but volatility is 193%. This is high but not in the \"extreme\" category like the >500% ones. The extreme drop could be a great mean-reversion opportunity. Let me compare:\n\nPAGE_CFD.UK vs HAS_CFD.UK:\n- PAGE: -36.8% day, -40.6% from MA200, vol 193%\n- HAS: -17.2% day, -26.5% from MA200, vol 118%\n\nPAGE has a stronger signal but higher risk due to volatility. Given the constraint to avoid binary/event-driven moves, the 193% volatility might be a red flag. I'll stick with HAS and ICG for longs.\n\nFinal selection remains:\n1. HAS_CFD.UK (LONG)\n2. ICG_CFD.UK (LONG)\n3. JUP_CFD.UK (SHORT)\n4. BOY_CFD.UK (SHORT)\n5. RS1_CFD.UK (SHORT)\n\nNow I need to write concise, indicator-based selection reasons.\n\n**Selection reasons**:\n- HAS: \"17% single-day drop, 26% below MA200, high volume move\"\n- ICG: \"15% single-day drop, 16% below MA200, moderate volatility\"\n- JUP: \"22% single-day rally, 58% above MA200, extreme extension\"\n- BOY: \"24% single-day rally, 29% above MA200, strong overbought\"\n- RS1: \"24% single-day rally, 26% above MA200, strong overbought\"\n\n**Rejected reasons**:\n- \"Extreme volatility (>500%) indicating data errors or binary events\"\n- \"Missing MA200 data combined with high volatility\"\n- \"Insufficient deviation from moving averages for mean-reversion signal\"\n- \"US symbols in EU scan with poor data quality\"\n\nI need to make sure I output ONLY valid JSON. Let me construct it properly.\n\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"HAS_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"17% single-day drop, 26% below MA200, oversold conditions\"\n    },\n    {\n      \"symbol\": \"ICG_CFD.UK\",\n      \"mean_reversion_score\": 80,\n      \"selection_reason\": \"15% single-day drop, 16% below MA200, moderate volatility\"\n    },\n    {\n      \"symbol\": \"JUP_CFD.UK\",\n      \"mean_reversion_score\": 90,\n      \"selection_reason\": \"22% single-day rally, 58% above MA200, extreme extension\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 29% above MA200, overbought conditions\"\n    },\n    {\n      \"symbol\": \"RS1_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 26% above MA200, overbought conditions\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Extreme volatility (>500%) indicating potential data errors or binary events\",\n    \"Missing key technical indicators (MA200) combined with elevated volatility\",\n    \"Insufficient price deviation from moving averages for mean-reversion setup\",\n    \"US symbols included in EU scan with poor data quality metrics\"\n  ]\n}\n```\n\nWait, I should double-check the constraints:\n- \"Select exactly 5 candidates\" - Yes, I have 5\n- \"Avoid earnings within 5 trading days (if known)\" - No earnings data known, so this doesn't apply\n- \"Avoid highly binary/event-driven moves (if known)\" - I'm rejecting high volatility stocks which could indicate this\n- \"Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\" - All sectors are unknown, so I cannot enforce this. The constraint says \"sector may be unknown\", so it's acceptable.\n\nThe output looks good. Let me verify it's valid JSON and",
          "reasoning_details": [
            {
              "text": " The user wants me to act as an \"Arena strategy executor\" for a mean-reversion strategy. I need to follow the rules strictly and output ONLY valid JSON. I cannot invent any data.\n\nLet me break down the task:\n\n1. **Task**: \"stage1_universe_scan\" - This means I need to scan the provided universe and select candidates for a mean-reversion strategy.\n2. **Region**: \"EU\" - The universe contains mostly UK CFDs, which qualifies as EU region.\n3. **Strategy**: \"meanrev-v1\" (Two-Stage LLM Mean-Reversion Arena v1)\n   - max_positions: 10\n   - max_buys_per_run: 2\n   - avoid_overtrading: true\n   - max_sells_per_run: 2\n   - max_gross_leverage: 3.0\n   - fixed_position_size: 3000.0\n4. **Selection Rules**:\n   - Horizon: 2-10 trading days\n   - Target: short-term mean reversion in liquid equities\n   - Constraints:\n     - Select exactly 5 candidates\n     - Avoid earnings within 5 trading days (if known)\n     - Avoid highly binary/event-driven moves (if known)\n     - Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\n\n5. **Universe**: Provided list of stocks with technical data. Most sectors are unknown (empty string).\n\n6. **Output Schema**: I need to provide:\n   - selected_stocks: array of exactly 5 stocks with symbol, mean_reversion_score (0-100), and selection_reason (short, concrete, indicator-based)\n   - rejected_common_reasons: array of strings explaining why others were rejected\n\n**Key considerations for mean reversion**:\n- Look for extreme moves in either direction (large positive or negative change_1d_pct)\n- Check distance from moving averages (MA50, MA200) - large deviations suggest potential reversion\n- Volatility should be reasonable (not too low, but extremely high might indicate binary events)\n- For long candidates: large negative moves, oversold conditions\n- For short candidates: large positive moves, overbought conditions\n\n**Analysis of each stock**:\n\n1. **HAS_CFD.UK (HAYS PLC)**: -17.2% down, -26.5% from MA200, -12.9% from MA50. High volatility (118%). Looks like a strong candidate for long mean reversion - sharp drop, well below MAs.\n\n2. **RS1_CFD.UK (RS GROUP PLC)**: +23.9% up, +26.4% from MA200, +23.7% from MA50. High volatility (103%). Strong candidate for short mean reversion - sharp rally, extended above MAs.\n\n3. **MGNS_CFD.UK (MORGAN SINDALL)**: +19.6% up, +32% from MA200, +15.6% from MA50. Volatility 90%. Good short candidate - extended move up.\n\n4. **GEN_CFD.UK (GENUIT GROUP)**: +13.7% up, +1.1% from MA200, +7.5% from MA50. Volatility 113%. Moderate extension, could be short candidate.\n\n5. **JUP_CFD.UK (JUPITER FUND MGMT)**: +22.1% up, +57.7% from MA200, +19.3% from MA50. Volatility 96%. Very strong short candidate - extremely extended from MA200.\n\n6. **BOY_CFD.UK (BODYCOTE)**: +24.2% up, +28.7% from MA200, +18.6% from MA50. Volatility 103%. Strong short candidate.\n\n7. **PAGE_CFD.UK (PAGEGROUP)**: -36.8% down, -40.6% from MA200, -31.7% from MA50. Volatility 193% (very high). Very strong long candidate but volatility is extremely high - might indicate binary event. Need to be cautious.\n\n8. **FGP_CFD.UK (FIRSTGROUP)**: +1.3% up, -4% from MA200, +1.7% from MA50. Volatility 88%. Not a strong mean reversion signal - small move, near MAs.\n\n9. **ICG_CFD.UK (ICG Plc)**: -15.2% down, -16.2% from MA200, -12.3% from MA50. Volatility 73%. Good long candidate - sharp drop, below MAs.\n\n10. **SHC_CFD.UK (SHAFTESBURY)**: -2.9% down, +0.3% from MA200, -0.8% from MA50. Volatility 64%. Not a strong signal - near MAs.\n\n11. **PAG_CFD.UK (PARAGON BANKING)**: -3.4% down, -1.3% from MA200, +0.7% from MA50. Volatility 72%. Not a strong signal - near MAs.\n\n12. **SAFE_CFD.UK (SAFESTORE)**: +0.14% up, +7.1% from MA200, -2.5% from MA50. Volatility 108%. Mixed signals, not strong.\n\n13. **RHIM_CFD.UK (RHI MAGNESITA)**: -6.8% down, -2.4% from MA200, +0.9% from MA50. Volatility 151% (high). Moderate long signal but high volatility.\n\n14. **PNN_CFD.UK (PENNON GROUP)**: +16.6% up, +23.8% from MA200, +17% from MA50. Volatility 84%. Good short candidate.\n\n15. **BBY_CFD.UK (BALFOUR BEATTY)**: -1.1% down, distance_from_ma200_pct is null, -1.6% from MA50. Volatility 2239% (extremely high - likely data error or binary event). Must reject.\n\n16. **CMCX_CFD.UK (CMC MARKETS)**: 0% change, distance_from_ma200_pct is null, +2.9% from MA50. Volatility 3004% (extremely high). Must reject.\n\n17. **HAIN_CFD.US**: -0.18% down, distance_from_ma200_pct is null, -33.2% from MA50. Volatility 9562% (extremely high). US stock, but region is EU - should probably reject due to data quality.\n\n18. **CFEB_CFD.BE**: +4.7% up, distance_from_ma200_pct is null, +9.4% from MA50. Volatility 2317% (extremely high). Belgian stock, but volatility is crazy. Reject.\n\n19. **ATG_CFD.UK**: +0.32% up, distance_from_ma200_pct is null, +0.8% from MA50. Volatility 2872% (extremely high). Reject.\n\n20. **CCL_CFD.UK**: -6.5% down, distance_from_ma200_pct is null, -14.7% from MA50. Volatility 5150% (extremely high). Reject.\n\n21. **ICE_CFD.US**: +0.9% up, distance_from_ma200_pct is null, +1.0% from MA50. Volatility 3563% (extremely high). US stock, reject.\n\n22. **VST_CFD.US**: -5.2% down, distance_from_ma200_pct is null, -2.9% from MA50. Volatility 4530% (extremely high). US stock, reject.\n\n**Selection strategy**:\n- I need exactly 5 candidates\n- Since sectors are unknown, I cannot enforce sector diversification, but I should still pick a mix\n- I should prioritize stocks with clear mean-reversion signals and reasonable volatility\n- I should avoid stocks with extremely high volatility (likely data errors or binary events)\n- I should avoid stocks with missing MA data if possible\n\n**Top candidates**:\n**Long candidates** (oversold):\n1. HAS_CFD.UK: -17.2% day, -26.5% from MA200, volatility 118% - STRONG\n2. ICG_CFD.UK: -15.2% day, -16.2% from MA200, volatility 73% - STRONG\n3. PAGE_CFD.UK: -36.8% day, -40.6% from MA200, volatility 193% - VERY EXTREME but high vol\n4. RHIM_CFD.UK: -6.8% day, -2.4% from MA200, volatility 151% - MODERATE\n\n**Short candidates** (overbought):\n1. JUP_CFD.UK: +22.1% day, +57.7% from MA200, volatility 96% - STRONGEST\n2. BOY_CFD.UK: +24.2% day, +28.7% from MA200, volatility 103% - STRONG\n3. RS1_CFD.UK: +23.9% day, +26.4% from MA200, volatility 103% - STRONG\n4. MGNS_CFD.UK: +19.6% day, +32% from MA200, volatility 90% - STRONG\n5. PNN_CFD.UK: +16.6% day, +23.8% from MA200, volatility 84% - GOOD\n\n**Rejection criteria**:\n- Extremely high volatility (>500%): BBY, CMCX, HAIN, CFEB, ATG, CCL, ICE, VST\n- Missing MA200 data combined with extreme volatility\n- US stocks in EU scan (though the task is EU region, some US stocks are in the list)\n- Small moves near MAs: FGP, SHC, PAG, SAFE\n\n**My selection**:\nI need to pick exactly 5. For mean reversion, I want a mix of long and short opportunities.\n\n1. **HAS_CFD.UK** (LONG): Clear oversold, -17% day, -26% from MA200, reasonable vol\n2. **ICG_CFD.UK** (LONG): -15% day, -16% from MA200, lower vol (73%)\n3. **JUP_CFD.UK** (SHORT): Most extended, +57% from MA200, +22% day\n4. **BOY_CFD.UK** (SHORT): Strong rally, +24% day, +28% from MA200\n5. **RS1_CFD.UK** (SHORT): Strong rally, +24% day, +26% from MA200\n\nWait, that's 3 shorts and 2 longs. That's a good balance. But let me check if I should include PAGE_CFD.UK instead of one of these. PAGE has a massive -36.8% drop but volatility is 193% which is high but not as extreme as the ones I'm rejecting. However, 193% is still quite high and might indicate a binary event. I'll stick with my selection.\n\nActually, let me reconsider. The strategy is \"Two-Stage LLM Mean-Reversion\". The selection should be based on mean-reversion potential. I should score them:\n\n**Scoring logic** (0-100)**:\n- Large deviation from MA50/MA200: higher score\n- Large 1-day move: higher score\n- Moderate volatility (not too low, not extremely high): higher score\n- For longs: negative moves and below MAs\n- For shorts: positive moves and above MAs\n\nLet me score my candidates:\n\n1. **HAS_CFD.UK**: \n   - 1d: -17.2% (strong)\n   - vs MA200: -26.5% (very strong)\n   - vs MA50: -12.9% (strong)\n   - Vol: 118% (acceptable)\n   - Score: 85\n\n2. **ICG_CFD.UK**:\n   - 1d: -15.2% (strong)\n   - vs MA200: -16.2% (strong)\n   - vs MA50: -12.3% (strong)\n   - Vol: 73% (good, moderate)\n   - Score: 80\n\n3. **JUP_CFD.UK**:\n   - 1d: +22.1% (strong)\n   - vs MA200: +57.7% (extremely strong)\n   - vs MA50: +19.3% (strong)\n   - Vol: 96% (acceptable)\n   - Score: 90 (highest extension)\n\n4. **BOY_CFD.UK**:\n   - 1d: +24.2% (very strong)\n   - vs MA200: +28.7% (very strong)\n   - vs MA50: +18.6% (strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\n5. **RS1_CFD.UK**:\n   - 1d: +23.9% (very strong)\n   - vs MA200: +26.4% (very strong)\n   - vs MA50: +23.7% (very strong)\n   - Vol: 103% (acceptable)\n   - Score: 85\n\nI could also consider MGNS_CFD.UK or PNN_CFD.UK as alternatives, but the ones I've selected have the clearest signals.\n\n**Rejected reasons**:\n- Extreme volatility (>500%): data quality issues or binary events\n- Missing key technical data (MA200) combined with high volatility\n- Insufficient mean-reversion signal (small moves, near MAs)\n- US stocks in EU scan (though the main issue is data quality)\n\nLet me finalize my selection:\n\n**Selected**:\n1. HAS_CFD.UK - Long - Score 85\n2. ICG_CFD.UK - Long - Score 80\n3. JUP_CFD.UK - Short - Score 90\n4. BOY_CFD.UK - Short - Score 85\n5. RS1_CFD.UK - Short - Score 85\n\nWait, I have 3 shorts and 2 longs. The strategy doesn't specify a required balance, but mean-reversion often works both ways. This should be fine.\n\nActually, let me reconsider PAGE_CFD.UK. It has a -36.8% drop which is massive, but volatility is 193%. This is high but not in the \"extreme\" category like the >500% ones. The extreme drop could be a great mean-reversion opportunity. Let me compare:\n\nPAGE_CFD.UK vs HAS_CFD.UK:\n- PAGE: -36.8% day, -40.6% from MA200, vol 193%\n- HAS: -17.2% day, -26.5% from MA200, vol 118%\n\nPAGE has a stronger signal but higher risk due to volatility. Given the constraint to avoid binary/event-driven moves, the 193% volatility might be a red flag. I'll stick with HAS and ICG for longs.\n\nFinal selection remains:\n1. HAS_CFD.UK (LONG)\n2. ICG_CFD.UK (LONG)\n3. JUP_CFD.UK (SHORT)\n4. BOY_CFD.UK (SHORT)\n5. RS1_CFD.UK (SHORT)\n\nNow I need to write concise, indicator-based selection reasons.\n\n**Selection reasons**:\n- HAS: \"17% single-day drop, 26% below MA200, high volume move\"\n- ICG: \"15% single-day drop, 16% below MA200, moderate volatility\"\n- JUP: \"22% single-day rally, 58% above MA200, extreme extension\"\n- BOY: \"24% single-day rally, 29% above MA200, strong overbought\"\n- RS1: \"24% single-day rally, 26% above MA200, strong overbought\"\n\n**Rejected reasons**:\n- \"Extreme volatility (>500%) indicating data errors or binary events\"\n- \"Missing MA200 data combined with high volatility\"\n- \"Insufficient deviation from moving averages for mean-reversion signal\"\n- \"US symbols in EU scan with poor data quality\"\n\nI need to make sure I output ONLY valid JSON. Let me construct it properly.\n\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"HAS_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"17% single-day drop, 26% below MA200, oversold conditions\"\n    },\n    {\n      \"symbol\": \"ICG_CFD.UK\",\n      \"mean_reversion_score\": 80,\n      \"selection_reason\": \"15% single-day drop, 16% below MA200, moderate volatility\"\n    },\n    {\n      \"symbol\": \"JUP_CFD.UK\",\n      \"mean_reversion_score\": 90,\n      \"selection_reason\": \"22% single-day rally, 58% above MA200, extreme extension\"\n    },\n    {\n      \"symbol\": \"BOY_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 29% above MA200, overbought conditions\"\n    },\n    {\n      \"symbol\": \"RS1_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"24% single-day rally, 26% above MA200, overbought conditions\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Extreme volatility (>500%) indicating potential data errors or binary events\",\n    \"Missing key technical indicators (MA200) combined with elevated volatility\",\n    \"Insufficient price deviation from moving averages for mean-reversion setup\",\n    \"US symbols included in EU scan with poor data quality metrics\"\n  ]\n}\n```\n\nWait, I should double-check the constraints:\n- \"Select exactly 5 candidates\" - Yes, I have 5\n- \"Avoid earnings within 5 trading days (if known)\" - No earnings data known, so this doesn't apply\n- \"Avoid highly binary/event-driven moves (if known)\" - I'm rejecting high volatility stocks which could indicate this\n- \"Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)\" - All sectors are unknown, so I cannot enforce this. The constraint says \"sector may be unknown\", so it's acceptable.\n\nThe output looks good. Let me verify it's valid JSON and",
              "type": "reasoning.text",
              "index": 0,
              "format": "unknown"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "length"
      }
    ],
    "created": 1775826215,
    "provider": "Nebius",
    "system_fingerprint": null
  }
}