Arena run #670

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

{"task": "stage1_universe_scan", "region": "US", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "selection_rules": {"horizon": "2-10 trading days", "target": "short-term mean reversion in liquid equities", "constraints": ["Select exactly 5 candidates", "Avoid earnings within 5 trading days (if known)", "Avoid highly binary/event-driven moves (if known)", "Avoid sector concentration: max 1 per sector unless clearly justified (sector may be unknown)"]}, "universe": [{"symbol": "WTB_CFD.UK", "name": "WHITBREAD PLC", "sector": "", "last_price": 2691.0, "change_1d_pct": 11.659751037344401, "distance_from_ma200_pct": -5.969827496214986, "distance_from_ma50_pct": -5.069507041577781, "volatility_20d_pct": 87.61035263352142, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "JDW_CFD.UK", "name": "WETHERSPOON (J.D.) PLC", "sector": "", "last_price": 748.5, "change_1d_pct": 9.750733137829904, "distance_from_ma200_pct": 6.242631058659898, "distance_from_ma50_pct": 5.290077328071208, "volatility_20d_pct": 98.2373545531062, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "UTG_CFD.UK", "name": "UNITE GROUP PLC/THE", "sector": "", "last_price": 567.5, "change_1d_pct": 3.4639927073837784, "distance_from_ma200_pct": -23.929923575376698, "distance_from_ma50_pct": -3.6875042216270137, "volatility_20d_pct": 73.84223442053181, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IWG_CFD.UK", "name": "IWG PLC", "sector": "", "last_price": 205.4, "change_1d_pct": -16.5718927701056, "distance_from_ma200_pct": -4.40871742234894, "distance_from_ma50_pct": -10.856111173800208, "volatility_20d_pct": 135.80434164824575, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "WIX_CFD.UK", "name": "WICKES GROUP PLC", "sector": "", "last_price": 224.5, "change_1d_pct": 5.39906103286385, "distance_from_ma200_pct": 7.488372582947989, "distance_from_ma50_pct": -0.024403842625497774, "volatility_20d_pct": 101.36283395409495, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "KGF_CFD.UK", "name": "KINGFISHER PLC", "sector": "", "last_price": 347.0, "change_1d_pct": 2.6020106445890034, "distance_from_ma200_pct": 18.583930168759967, "distance_from_ma50_pct": 6.639688157278489, "volatility_20d_pct": 88.64906606382688, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DLN_CFD.UK", "name": "DERWENT LONDON PLC", "sector": "", "last_price": 1953.0, "change_1d_pct": 10.401356698699837, "distance_from_ma200_pct": 5.069478604951705, "distance_from_ma50_pct": 12.150447212111025, "volatility_20d_pct": 115.39088732649292, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "EMG_CFD.UK", "name": "MAN GROUP PLC/JERSEY", "sector": "", "last_price": 269.6, "change_1d_pct": 2.353834472285521, "distance_from_ma200_pct": 42.186331073171914, "distance_from_ma50_pct": 15.516783354614262, "volatility_20d_pct": 86.92367167139048, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ABDN_CFD.UK", "name": "Aberdeen Group Plc", "sector": "", "last_price": 215.2, "change_1d_pct": -0.6463527239150557, "distance_from_ma200_pct": 13.219747060140353, "distance_from_ma50_pct": 3.663782514155023, "volatility_20d_pct": 74.75396598460024, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ADJ_CFD.DE", "name": "ADLER GROUP SA", "sector": "", "last_price": 0.192, "change_1d_pct": 3.7837837837837895, "distance_from_ma200_pct": -7.239655047467208, "distance_from_ma50_pct": 0.3869078740980747, "volatility_20d_pct": 289.0458804486071, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "VTY_CFD.UK", "name": "VISTRY GROUP PLC", "sector": "", "last_price": 422.1, "change_1d_pct": -41.75842371057207, "distance_from_ma200_pct": -32.93902241109237, "distance_from_ma50_pct": -33.642404720020004, "volatility_20d_pct": 211.52864207091707, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "BBY_CFD.UK", "name": "BALFOUR BEATTY PLC", "sector": "", "last_price": 759.18, "change_1d_pct": 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"distance_from_ma200_pct": 13.317546227885302, "distance_from_ma50_pct": -1.7757021353705382, "volatility_20d_pct": 112.7399273800121, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ITV_CFD.UK", "name": "ITV PLC", "sector": "", "last_price": 86.0, "change_1d_pct": 3.92749244712991, "distance_from_ma200_pct": 7.871211807633016, "distance_from_ma50_pct": 5.417994606521215, "volatility_20d_pct": 139.7485078641958, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IMI_CFD.UK", "name": "IMI PLC", "sector": "", "last_price": 2774.0, "change_1d_pct": 4.7583081570997, "distance_from_ma200_pct": 25.227479847754264, "distance_from_ma50_pct": 6.661876238540865, "volatility_20d_pct": 87.69330898337377, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "DOM_CFD.UK", "name": "DOMINO'S PIZZA GROUP PLC", "sector": "", "last_price": 189.21, "change_1d_pct": 4.190528634361246, "distance_from_ma200_pct": -12.46581454882838, "distance_from_ma50_pct": 4.428944053991102, "volatility_20d_pct": 85.812071272284, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "IPO_CFD.UK", "name": "IP GROUP PLC", "sector": "", "last_price": 57.6, "change_1d_pct": -1.873935264054516, "distance_from_ma200_pct": 10.233643652522883, 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          "reasoning": " The user wants me to act as an Arena strategy executor for a mean-reversion strategy. I need to:\n1. Scan the provided universe of stocks\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Follow the strategy rules strictly\n4. Output ONLY valid JSON\n5. Not invent any data\n6. Treat null/empty fields as unknown\n\nKey constraints:\n- Select exactly 5 candidates\n- Avoid earnings within 5 trading days (if known) - but all earnings data is null, so this constraint doesn't apply\n- Avoid highly binary/event-driven moves (if known) - no news data, so can't assess this\n- Avoid sector concentration: max 1 per sector unless clearly justified - but sector data is empty for all stocks, so I cannot enforce this constraint meaningfully. I'll have to treat them as \"unknown\" sector and select based purely on technical signals.\n\nStrategy: \"Two-Stage LLM Mean-Reversion (Arena v1)\" - this suggests looking for stocks that have moved significantly in one direction and are likely to revert to their mean.\n\nFor mean reversion, I should look for:\n- Large 1-day moves (both positive and negative)\n- Distance from moving averages (oversold/overbought conditions)\n- High volatility (creates opportunities for reversion)\n- Liquid stocks (but volume data is null)\n\nLet me analyze the candidates:\n\n**Large positive movers:**\n- WTB_CFD.UK: +11.66%, -5.97% from MA200, -5.07% from MA50\n- JDW_CFD.UK: +9.75%, +6.24% from MA200, +5.29% from MA50\n- DLN_CFD.UK: +10.40%, +5.07% from MA200, +12.15% from MA50\n- WAF_CFD.DE: +12.13%, +24.32% from MA200, +7.60% from MA50\n- HMSO_CFD.UK: +14.13%, +22.52% from MA200, +10.01% from MA50\n- CRST_CFD.UK: +25.18%, +2.14% from MA200, +18.26% from MA50\n\n**Large negative movers:**\n- IWG_CFD.UK: -16.57%, -4.41% from MA200, -10.86% from MA50\n- VTY_CFD.UK: -41.76%, -32.94% from MA200, -33.64% from MA50 (extreme move)\n- VSVS_CFD.UK: -10.35%, +13.32% from MA200, -1.78% from MA50\n- WIZZ_CFD.UK: -20.55%, -24.88% from MA200, -27.37% from MA50\n- FUTR_CFD.UK: -20.82%, -37.68% from MA200, -24.30% from MA50\n- ICG_CFD.UK: -13.36%, -15.04% from MA200, -11.54% from MA50\n- WLH_CFD.FR: -73.17%, -83.78% from MA200, -71.81% from MA50 (extreme move)\n- AMCX_CFD.US: -12.06%, -8.18% from MA200, -12.69% from MA50\n\n**Mean Reversion Logic:**\nFor stocks that moved up big, we want them to be overbought (far above MA) to short them, or oversold (far below MA) to buy them.\n\nFor stocks that moved down big, we want them to be oversold (far below MA) to buy them.\n\nLet me categorize:\n\n**Potential SHORT candidates (overbought after big up move):**\n- WTB_CFD.UK: +11.66% but BELOW both MAs (contrarian signal, might be bouncing)\n- JDW_CFD.UK: +9.75%, ABOVE both MAs (overbought)\n- DLN_CFD.UK: +10.40%, ABOVE both MAs (overbought)\n- WAF_CFD.DE: +12.13%, ABOVE both MAs (overbought)\n- HMSO_CFD.UK: +14.13%, ABOVE both MAs (overbought)\n- CRST_CFD.UK: +25.18%, ABOVE both MAs (overbought)\n\n**Potential LONG candidates (oversold after big down move):**\n- IWG_CFD.UK: -16.57%, BELOW both MAs (oversold)\n- VTY_CFD.UK: -41.76%, BELOW both MAs (extremely oversold)\n- VSVS_CFD.UK: -10.35%, mixed signals (above MA200, below MA50)\n- WIZZ_CFD.UK: -20.55%, BELOW both MAs (oversold)\n- FUTR_CFD.UK: -20.82%, BELOW both MAs (oversold)\n- ICG_CFD.UK: -13.36%, BELOW both MAs (oversold)\n- WLH_CFD.FR: -73.17%, BELOW both MAs (extremely oversold)\n- AMCX_CFD.US: -12.06%, BELOW both MAs (oversold)\n\n**Volatility considerations:**\nHigh volatility is good for mean reversion. Let me check the highest volatility stocks:\n- WLH_CFD.FR: 429.49% (extreme)\n- VTY_CFD.UK: 211.53%\n- FUTR_CFD.UK: 153.59%\n- WIZZ_CFD.UK: 174.34%\n- IWG_CFD.UK: 135.80%\n- AMCX_CFD.US: 111.70%\n\n**Selection approach:**\nI need to pick 5 stocks with strong mean-reversion signals. Since sectors are unknown, I'll focus on technical signals only.\n\nGood candidates for LONG (oversold):\n1. **VTY_CFD.UK**: -41.76% in one day, -32.94% from MA200, -33.64% from MA50, high volatility (211.53%) - EXTREME oversold\n2. **WIZZ_CFD.UK**: -20.55% in one day, -24.88% from MA200, -27.37% from MA50, high volatility (174.34%) - Strong oversold\n3. **FUTR_CFD.UK**: -20.82% in one day, -37.68% from MA200, -24.30% from MA50, high volatility (153.59%) - Strong oversold\n4. **IWG_CFD.UK**: -16.57% in one day, -4.41% from MA200, -10.86% from MA50, high volatility (135.80%) - Moderately oversold\n5. **ICG_CFD.UK**: -13.36% in one day, -15.04% from MA200, -11.54% from MA50, moderate volatility (72.59%) - Moderately oversold\n\nGood candidates for SHORT (overbought):\n1. **CRST_CFD.UK**: +25.18% in one day, +2.14% from MA200, +18.26% from MA50, high volatility (158.50%) - EXTREME overbought\n2. **HMSO_CFD.UK**: +14.13% in one day, +22.52% from MA200, +10.01% from MA50, high volatility (87.55%) - Strong overbought\n3. **WAF_CFD.DE**: +12.13% in one day, +24.32% from MA200, +7.60% from MA50, high volatility (106.25%) - Strong overbought\n4. **DLN_CFD.UK**: +10.40% in one day, +5.07% from MA200, +12.15% from MA50, high volatility (115.39%) - Strong overbought\n5. **JDW_CFD.UK**: +9.75% in one day, +6.24% from MA200, +5.29% from MA50, high volatility (98.24%) - Moderately overbought\n\n**Balanced selection:**\nI should pick a mix of long and short candidates for mean reversion. Since the strategy is \"mean reversion\" without specifying direction, I should select the strongest signals regardless of direction.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from moving averages (absolute value)\n3. Volatility level\n\n**Top 5 candidates:**\n\n1. **VTY_CFD.UK**: -41.76% move, -32.94% from MA200, high volatility - STRONGEST oversold signal\n2. **WLN_CFD.FR**: -73.17% move, -83.78% from MA200, extreme volatility - But this might be too extreme, potentially a delisting or bankruptcy event. The volatility is 429%, which is extremely high. This could be a binary event. I should avoid it due to \"avoid highly binary/event-driven moves\" rule, even though I don't have explicit news.\n3. **CRST_CFD.UK**: +25.18% move, +18.26% from MA50, high volatility - STRONGEST overbought signal\n4. **WIZZ_CFD.UK**: -20.55% move, -27.37% from MA50, high volatility - Strong oversold\n5. **FUTR_CFD.UK**: -20.82% move, -37.68% from MA200, high volatility - Strong oversold\n6. **WAF_CFD.DE**: +12.13% move, +24.32% from MA200, high volatility - Strong overbought\n\nLet me reconsider WLN_CFD.FR: -73% move in one day with 429% volatility. This is likely a corporate action, delisting, or bankruptcy. The rule says \"Avoid highly binary/event-driven moves (if known)\". Since I don't have news, I cannot confirm, but this looks suspicious. I should avoid it to be safe.\n\nSo my final 5:\n1. **VTY_CFD.UK** (LONG) - Extreme oversold, high volatility\n2. **CRST_CFD.UK** (SHORT) - Extreme overbought, high volatility\n3. **WIZZ_CFD.UK** (LONG) - Strong oversold, high volatility\n4. **FUTR_CFD.UK** (LONG) - Strong oversold, high volatility\n5. **WAF_CFD.DE** (SHORT) - Strong overbought, high volatility\n\nWait, I have 3 LONGs and 2 SHORTs. That's fine for a mean-reversion strategy.\n\nLet me double-check the signals:\n- **VTY_CFD.UK**: -41.76% day, -32.94% from MA200, -33.64% from MA50, vol 211.53% - Score: 95\n- **CRST_CFD.UK**: +25.18% day, +2.14% from MA200, +18.26% from MA50, vol 158.50% - Score: 90 (the distance from MA200 is small, but the day move is huge)\n- **WIZZ_CFD.UK**: -20.55% day, -24.88% from MA200, -27.37% from MA50, vol 174.34% - Score: 88\n- **FUTR_CFD.UK**: -20.82% day, -37.68% from MA200, -24.30% from MA50, vol 153.59% - Score: 87\n- **WAF_CFD.DE**: +12.13% day, +24.32% from MA200, +7.60% from MA50, vol 106.25% - Score: 85\n\nAlternative candidates:\n- **IWG_CFD.UK**: -16.57% day, -4.41% from MA200, -10.86% from MA50, vol 135.80% - Score: 75\n- **DLN_CFD.UK**: +10.40% day, +5.07% from MA200, +12.15% from MA50, vol 115.39% - Score: 78\n- **HMSO_CFD.UK**: +14.13% day, +22.52% from MA200, +10.01% from MA50, vol 87.55% - Score: 80\n\nI think my selection is solid. All have strong technical signals for mean reversion.\n\nNow I need to create the JSON output with:\n- symbol\n- mean_reversion_score (integer 0-100)\n- selection_reason (short, concrete, indicator-based)\n\nAnd rejected_common_reasons array.\n\nLet me craft the reasons:\n1. VTY_CFD.UK: \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n2. CRST_CFD.UK: \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n3. WIZZ_CFD.UK: \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n4. FUTR_CFD.UK: \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n5. WAF_CFD.DE: \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n\nFor rejected_common_reasons, I should list common reasons why other stocks were rejected:\n- \"Insufficient 1-day move magnitude for mean reversion signal\"\n- \"Distance from moving averages too small for reliable reversion\"\n- \"Volatility too low for adequate profit potential\"\n- \"Extreme move likely binary event (e.g., WLN -73% drop)\"\n\nLet me refine the scores to be more precise:\n- VTY_CFD.UK: 95 (extreme move, extreme distance, high vol)\n- CRST_CFD.UK: 92 (extreme move, large distance from MA50, high vol)\n- WIZZ_CFD.UK: 88 (large move, large distance, high vol)\n- FUTR_CFD.UK: 87 (large move, very large distance from MA200, high vol)\n- WAF_CFD.DE: 85 (large move, large distance from MA200, good vol)\n\nI should also mention that I avoided WLN_CFD.FR due to extreme move likely being a binary event.\n\nFinal JSON structure:\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"VTY_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n    },\n    {\n      \"symbol\": \"WIZZ_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"FUTR_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"WAF_CFD.DE\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Insufficient 1-day move magnitude for mean reversion signal\",\n    \"Distance from moving averages too small for reliable reversion setup\",\n    \"Extreme single-day moves (>70%) flagged as potential binary events and avoided\",\n    \"Volatility too low for adequate profit potential\"\n  ]\n}\n```\n\nWait, I need to check if any of these have earnings within 5 days. All earnings data is null, so I cannot know. The rule says \"if known\", so it's fine to ignore.\n\nAlso, I need to check sector concentration. All sectors are empty/unknown, so I cannot enforce this. The rule says \"sector may be unknown\", so it's fine.\n\nLet me verify the calculations:\n- VTY: change_1d_pct = -41.758..., distance_from_ma200_pct = -32.939..., distance_from_ma50_pct = -33.642..., volatility_20d_pct = 211.528... - Correct\n- CRST: change_1d_pct = 25.184..., distance_from_ma200_pct = 2.135..., distance_from_ma50_pct = 18.261..., volatility_20d_pct = 158.502... - Correct\n- WIZZ: change_1d_pct = -20.549..., distance_from_ma200_pct = -24.878..., distance_from_ma50_pct = -27.374..., volatility_20d_pct = 174.341... - Correct\n- FUTR: change_1d_pct = -20.822..., distance_from_ma200_pct = -37.683..., distance_from_ma50_pct = -24.301..., volatility_20d_pct = 153.590... - Correct\n- WAF: change_1d",
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              "text": " The user wants me to act as an Arena strategy executor for a mean-reversion strategy. I need to:\n1. Scan the provided universe of stocks\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Follow the strategy rules strictly\n4. Output ONLY valid JSON\n5. Not invent any data\n6. Treat null/empty fields as unknown\n\nKey constraints:\n- Select exactly 5 candidates\n- Avoid earnings within 5 trading days (if known) - but all earnings data is null, so this constraint doesn't apply\n- Avoid highly binary/event-driven moves (if known) - no news data, so can't assess this\n- Avoid sector concentration: max 1 per sector unless clearly justified - but sector data is empty for all stocks, so I cannot enforce this constraint meaningfully. I'll have to treat them as \"unknown\" sector and select based purely on technical signals.\n\nStrategy: \"Two-Stage LLM Mean-Reversion (Arena v1)\" - this suggests looking for stocks that have moved significantly in one direction and are likely to revert to their mean.\n\nFor mean reversion, I should look for:\n- Large 1-day moves (both positive and negative)\n- Distance from moving averages (oversold/overbought conditions)\n- High volatility (creates opportunities for reversion)\n- Liquid stocks (but volume data is null)\n\nLet me analyze the candidates:\n\n**Large positive movers:**\n- WTB_CFD.UK: +11.66%, -5.97% from MA200, -5.07% from MA50\n- JDW_CFD.UK: +9.75%, +6.24% from MA200, +5.29% from MA50\n- DLN_CFD.UK: +10.40%, +5.07% from MA200, +12.15% from MA50\n- WAF_CFD.DE: +12.13%, +24.32% from MA200, +7.60% from MA50\n- HMSO_CFD.UK: +14.13%, +22.52% from MA200, +10.01% from MA50\n- CRST_CFD.UK: +25.18%, +2.14% from MA200, +18.26% from MA50\n\n**Large negative movers:**\n- IWG_CFD.UK: -16.57%, -4.41% from MA200, -10.86% from MA50\n- VTY_CFD.UK: -41.76%, -32.94% from MA200, -33.64% from MA50 (extreme move)\n- VSVS_CFD.UK: -10.35%, +13.32% from MA200, -1.78% from MA50\n- WIZZ_CFD.UK: -20.55%, -24.88% from MA200, -27.37% from MA50\n- FUTR_CFD.UK: -20.82%, -37.68% from MA200, -24.30% from MA50\n- ICG_CFD.UK: -13.36%, -15.04% from MA200, -11.54% from MA50\n- WLH_CFD.FR: -73.17%, -83.78% from MA200, -71.81% from MA50 (extreme move)\n- AMCX_CFD.US: -12.06%, -8.18% from MA200, -12.69% from MA50\n\n**Mean Reversion Logic:**\nFor stocks that moved up big, we want them to be overbought (far above MA) to short them, or oversold (far below MA) to buy them.\n\nFor stocks that moved down big, we want them to be oversold (far below MA) to buy them.\n\nLet me categorize:\n\n**Potential SHORT candidates (overbought after big up move):**\n- WTB_CFD.UK: +11.66% but BELOW both MAs (contrarian signal, might be bouncing)\n- JDW_CFD.UK: +9.75%, ABOVE both MAs (overbought)\n- DLN_CFD.UK: +10.40%, ABOVE both MAs (overbought)\n- WAF_CFD.DE: +12.13%, ABOVE both MAs (overbought)\n- HMSO_CFD.UK: +14.13%, ABOVE both MAs (overbought)\n- CRST_CFD.UK: +25.18%, ABOVE both MAs (overbought)\n\n**Potential LONG candidates (oversold after big down move):**\n- IWG_CFD.UK: -16.57%, BELOW both MAs (oversold)\n- VTY_CFD.UK: -41.76%, BELOW both MAs (extremely oversold)\n- VSVS_CFD.UK: -10.35%, mixed signals (above MA200, below MA50)\n- WIZZ_CFD.UK: -20.55%, BELOW both MAs (oversold)\n- FUTR_CFD.UK: -20.82%, BELOW both MAs (oversold)\n- ICG_CFD.UK: -13.36%, BELOW both MAs (oversold)\n- WLH_CFD.FR: -73.17%, BELOW both MAs (extremely oversold)\n- AMCX_CFD.US: -12.06%, BELOW both MAs (oversold)\n\n**Volatility considerations:**\nHigh volatility is good for mean reversion. Let me check the highest volatility stocks:\n- WLH_CFD.FR: 429.49% (extreme)\n- VTY_CFD.UK: 211.53%\n- FUTR_CFD.UK: 153.59%\n- WIZZ_CFD.UK: 174.34%\n- IWG_CFD.UK: 135.80%\n- AMCX_CFD.US: 111.70%\n\n**Selection approach:**\nI need to pick 5 stocks with strong mean-reversion signals. Since sectors are unknown, I'll focus on technical signals only.\n\nGood candidates for LONG (oversold):\n1. **VTY_CFD.UK**: -41.76% in one day, -32.94% from MA200, -33.64% from MA50, high volatility (211.53%) - EXTREME oversold\n2. **WIZZ_CFD.UK**: -20.55% in one day, -24.88% from MA200, -27.37% from MA50, high volatility (174.34%) - Strong oversold\n3. **FUTR_CFD.UK**: -20.82% in one day, -37.68% from MA200, -24.30% from MA50, high volatility (153.59%) - Strong oversold\n4. **IWG_CFD.UK**: -16.57% in one day, -4.41% from MA200, -10.86% from MA50, high volatility (135.80%) - Moderately oversold\n5. **ICG_CFD.UK**: -13.36% in one day, -15.04% from MA200, -11.54% from MA50, moderate volatility (72.59%) - Moderately oversold\n\nGood candidates for SHORT (overbought):\n1. **CRST_CFD.UK**: +25.18% in one day, +2.14% from MA200, +18.26% from MA50, high volatility (158.50%) - EXTREME overbought\n2. **HMSO_CFD.UK**: +14.13% in one day, +22.52% from MA200, +10.01% from MA50, high volatility (87.55%) - Strong overbought\n3. **WAF_CFD.DE**: +12.13% in one day, +24.32% from MA200, +7.60% from MA50, high volatility (106.25%) - Strong overbought\n4. **DLN_CFD.UK**: +10.40% in one day, +5.07% from MA200, +12.15% from MA50, high volatility (115.39%) - Strong overbought\n5. **JDW_CFD.UK**: +9.75% in one day, +6.24% from MA200, +5.29% from MA50, high volatility (98.24%) - Moderately overbought\n\n**Balanced selection:**\nI should pick a mix of long and short candidates for mean reversion. Since the strategy is \"mean reversion\" without specifying direction, I should select the strongest signals regardless of direction.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from moving averages (absolute value)\n3. Volatility level\n\n**Top 5 candidates:**\n\n1. **VTY_CFD.UK**: -41.76% move, -32.94% from MA200, high volatility - STRONGEST oversold signal\n2. **WLN_CFD.FR**: -73.17% move, -83.78% from MA200, extreme volatility - But this might be too extreme, potentially a delisting or bankruptcy event. The volatility is 429%, which is extremely high. This could be a binary event. I should avoid it due to \"avoid highly binary/event-driven moves\" rule, even though I don't have explicit news.\n3. **CRST_CFD.UK**: +25.18% move, +18.26% from MA50, high volatility - STRONGEST overbought signal\n4. **WIZZ_CFD.UK**: -20.55% move, -27.37% from MA50, high volatility - Strong oversold\n5. **FUTR_CFD.UK**: -20.82% move, -37.68% from MA200, high volatility - Strong oversold\n6. **WAF_CFD.DE**: +12.13% move, +24.32% from MA200, high volatility - Strong overbought\n\nLet me reconsider WLN_CFD.FR: -73% move in one day with 429% volatility. This is likely a corporate action, delisting, or bankruptcy. The rule says \"Avoid highly binary/event-driven moves (if known)\". Since I don't have news, I cannot confirm, but this looks suspicious. I should avoid it to be safe.\n\nSo my final 5:\n1. **VTY_CFD.UK** (LONG) - Extreme oversold, high volatility\n2. **CRST_CFD.UK** (SHORT) - Extreme overbought, high volatility\n3. **WIZZ_CFD.UK** (LONG) - Strong oversold, high volatility\n4. **FUTR_CFD.UK** (LONG) - Strong oversold, high volatility\n5. **WAF_CFD.DE** (SHORT) - Strong overbought, high volatility\n\nWait, I have 3 LONGs and 2 SHORTs. That's fine for a mean-reversion strategy.\n\nLet me double-check the signals:\n- **VTY_CFD.UK**: -41.76% day, -32.94% from MA200, -33.64% from MA50, vol 211.53% - Score: 95\n- **CRST_CFD.UK**: +25.18% day, +2.14% from MA200, +18.26% from MA50, vol 158.50% - Score: 90 (the distance from MA200 is small, but the day move is huge)\n- **WIZZ_CFD.UK**: -20.55% day, -24.88% from MA200, -27.37% from MA50, vol 174.34% - Score: 88\n- **FUTR_CFD.UK**: -20.82% day, -37.68% from MA200, -24.30% from MA50, vol 153.59% - Score: 87\n- **WAF_CFD.DE**: +12.13% day, +24.32% from MA200, +7.60% from MA50, vol 106.25% - Score: 85\n\nAlternative candidates:\n- **IWG_CFD.UK**: -16.57% day, -4.41% from MA200, -10.86% from MA50, vol 135.80% - Score: 75\n- **DLN_CFD.UK**: +10.40% day, +5.07% from MA200, +12.15% from MA50, vol 115.39% - Score: 78\n- **HMSO_CFD.UK**: +14.13% day, +22.52% from MA200, +10.01% from MA50, vol 87.55% - Score: 80\n\nI think my selection is solid. All have strong technical signals for mean reversion.\n\nNow I need to create the JSON output with:\n- symbol\n- mean_reversion_score (integer 0-100)\n- selection_reason (short, concrete, indicator-based)\n\nAnd rejected_common_reasons array.\n\nLet me craft the reasons:\n1. VTY_CFD.UK: \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n2. CRST_CFD.UK: \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n3. WIZZ_CFD.UK: \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n4. FUTR_CFD.UK: \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n5. WAF_CFD.DE: \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n\nFor rejected_common_reasons, I should list common reasons why other stocks were rejected:\n- \"Insufficient 1-day move magnitude for mean reversion signal\"\n- \"Distance from moving averages too small for reliable reversion\"\n- \"Volatility too low for adequate profit potential\"\n- \"Extreme move likely binary event (e.g., WLN -73% drop)\"\n\nLet me refine the scores to be more precise:\n- VTY_CFD.UK: 95 (extreme move, extreme distance, high vol)\n- CRST_CFD.UK: 92 (extreme move, large distance from MA50, high vol)\n- WIZZ_CFD.UK: 88 (large move, large distance, high vol)\n- FUTR_CFD.UK: 87 (large move, very large distance from MA200, high vol)\n- WAF_CFD.DE: 85 (large move, large distance from MA200, good vol)\n\nI should also mention that I avoided WLN_CFD.FR due to extreme move likely being a binary event.\n\nFinal JSON structure:\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"VTY_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n    },\n    {\n      \"symbol\": \"WIZZ_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"FUTR_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"WAF_CFD.DE\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Insufficient 1-day move magnitude for mean reversion signal\",\n    \"Distance from moving averages too small for reliable reversion setup\",\n    \"Extreme single-day moves (>70%) flagged as potential binary events and avoided\",\n    \"Volatility too low for adequate profit potential\"\n  ]\n}\n```\n\nWait, I need to check if any of these have earnings within 5 days. All earnings data is null, so I cannot know. The rule says \"if known\", so it's fine to ignore.\n\nAlso, I need to check sector concentration. All sectors are empty/unknown, so I cannot enforce this. The rule says \"sector may be unknown\", so it's fine.\n\nLet me verify the calculations:\n- VTY: change_1d_pct = -41.758..., distance_from_ma200_pct = -32.939..., distance_from_ma50_pct = -33.642..., volatility_20d_pct = 211.528... - Correct\n- CRST: change_1d_pct = 25.184..., distance_from_ma200_pct = 2.135..., distance_from_ma50_pct = 18.261..., volatility_20d_pct = 158.502... - Correct\n- WIZZ: change_1d_pct = -20.549..., distance_from_ma200_pct = -24.878..., distance_from_ma50_pct = -27.374..., volatility_20d_pct = 174.341... - Correct\n- FUTR: change_1d_pct = -20.822..., distance_from_ma200_pct = -37.683..., distance_from_ma50_pct = -24.301..., volatility_20d_pct = 153.590... - Correct\n- WAF: change_1d",
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You are an Arena portfolio manager. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices/fundamentals/news/earnings. If a field is null/empty, treat it as unknown. Avoid overtrading: if changes are marginal, prefer HOLD. Do not churn.

{"task": "stage2_portfolio_management", "region": "US", "strategy": {"key": "meanrev-v1", "name": "Two-Stage LLM Mean-Reversion (Arena v1)", "rules": {"max_positions": 10, "max_buys_per_run": 2, "avoid_overtrading": true, "max_sells_per_run": 2, "max_gross_leverage": 3.0, "fixed_position_size": 3000.0, "universe_symbols_eu": [], "universe_symbols_us": []}}, "portfolio_constraints": {"initial_equity": 10000.0, "max_positions": 10, "fixed_position_size": 3000.0, "max_gross_leverage": 3.0, "overtrading_rules": ["Max 2 SELL actions per run unless risk event forces more", "Max 2 BUY actions per run", "If no clear improvement vs current holdings, output HOLD for everything"]}, "current_portfolio": [{"symbol": "AML_CFD.UK", "qty": 71.4626012386851, "avg_price": 41.98, "last_price": 40.1, "unrealized_pnl": -134.34969032872766, "opened_at": "2026-03-09T10:19:46.508085+00:00"}, {"symbol": "BYIT_CFD.UK", "qty": 10.252904989747094, "avg_price": 292.6, "last_price": 292.6, "unrealized_pnl": 0.0, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "FUTR_CFD.UK", "qty": 7.24287783679382, "avg_price": 414.2, "last_price": 414.2, "unrealized_pnl": 0.0, "opened_at": "2026-03-12T10:21:39.078796+00:00"}, {"symbol": "ICG_CFD.UK", "qty": 1.7647058823529411, "avg_price": 1700.0, "last_price": 1693.0, "unrealized_pnl": -12.352941176470587, "opened_at": "2026-02-16T09:30:55.514112+00:00"}, {"symbol": "LSS_CFD.FR", "qty": 0.0, "avg_price": 20.15, "last_price": 19.44, "unrealized_pnl": 0.0, "opened_at": "2026-02-16T09:30:55.514112+00:00"}, {"symbol": "OCDO_CFD.UK", "qty": 14.684287812041115, "avg_price": 204.3, "last_price": 204.3, "unrealized_pnl": 0.0, "opened_at": "2026-03-12T18:01:52.554929+00:00"}, {"symbol": "PAGE_CFD.UK", "qty": 0.0, "avg_price": 174.7956612898717, "last_price": 152.7, "unrealized_pnl": 0.0, "opened_at": "2026-02-28T10:51:05.818250+00:00"}, {"symbol": "PSN_CFD.UK", "qty": 2.4691358024691357, "avg_price": 1215.0, "last_price": 1199.0, "unrealized_pnl": -39.50617283950617, "opened_at": "2026-03-12T18:01:52.554929+00:00"}, {"symbol": "TRST_CFD.UK", "qty": 19.76284584980237, "avg_price": 151.8, "last_price": 173.4, "unrealized_pnl": 426.8774703557311, "opened_at": "2026-03-14T10:03:26.036362+00:00"}, {"symbol": "VTY_CFD.UK", "qty": 7.024116132053383, "avg_price": 427.1, "last_price": 403.2, "unrealized_pnl": -167.87637555607608, "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": "Down 4.5% but at target size; await mean-reversion bounce",
        "symbol": "AML_CFD.UK"
      },
      {
        "reason": "Flat, no signal",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Flat, no signal",
        "symbol": "FUTR_CFD.UK"
      },
      {
        "reason": "Down minimal 0.4%, hold",
        "symbol": "ICG_CFD.UK"
      },
      {
        "reason": "Flat, no signal",
        "symbol": "OCDO_CFD.UK"
      },
      {
        "reason": "Down 1.3% but at target size; await mean-reversion",
        "symbol": "PSN_CFD.UK"
      },
      {
        "reason": "Down 5.6% (oversold) but at target size; hold for reversion",
        "symbol": "VTY_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Profit-taking: position up 14.2% ($427 gain), likely overbought per mean-reversion",
        "symbol": "TRST_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "Mean-reversion: Locking in 14% gain on TRST as overbought. Other positions at ~$3K target size; holding losers (VTY -5.6%, AML -4.5%) for expected reversion upward. No new buy candidates provided. Avoiding overtrading."
}

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          "reasoning": " The user wants me to act as an Arena strategy executor for a mean-reversion strategy. I need to:\n1. Scan the provided universe of stocks\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Follow the strategy rules strictly\n4. Output ONLY valid JSON\n5. Not invent any data\n6. Treat null/empty fields as unknown\n\nKey constraints:\n- Select exactly 5 candidates\n- Avoid earnings within 5 trading days (if known) - but all earnings data is null, so this constraint doesn't apply\n- Avoid highly binary/event-driven moves (if known) - no news data, so can't assess this\n- Avoid sector concentration: max 1 per sector unless clearly justified - but sector data is empty for all stocks, so I cannot enforce this constraint meaningfully. I'll have to treat them as \"unknown\" sector and select based purely on technical signals.\n\nStrategy: \"Two-Stage LLM Mean-Reversion (Arena v1)\" - this suggests looking for stocks that have moved significantly in one direction and are likely to revert to their mean.\n\nFor mean reversion, I should look for:\n- Large 1-day moves (both positive and negative)\n- Distance from moving averages (oversold/overbought conditions)\n- High volatility (creates opportunities for reversion)\n- Liquid stocks (but volume data is null)\n\nLet me analyze the candidates:\n\n**Large positive movers:**\n- WTB_CFD.UK: +11.66%, -5.97% from MA200, -5.07% from MA50\n- JDW_CFD.UK: +9.75%, +6.24% from MA200, +5.29% from MA50\n- DLN_CFD.UK: +10.40%, +5.07% from MA200, +12.15% from MA50\n- WAF_CFD.DE: +12.13%, +24.32% from MA200, +7.60% from MA50\n- HMSO_CFD.UK: +14.13%, +22.52% from MA200, +10.01% from MA50\n- CRST_CFD.UK: +25.18%, +2.14% from MA200, +18.26% from MA50\n\n**Large negative movers:**\n- IWG_CFD.UK: -16.57%, -4.41% from MA200, -10.86% from MA50\n- VTY_CFD.UK: -41.76%, -32.94% from MA200, -33.64% from MA50 (extreme move)\n- VSVS_CFD.UK: -10.35%, +13.32% from MA200, -1.78% from MA50\n- WIZZ_CFD.UK: -20.55%, -24.88% from MA200, -27.37% from MA50\n- FUTR_CFD.UK: -20.82%, -37.68% from MA200, -24.30% from MA50\n- ICG_CFD.UK: -13.36%, -15.04% from MA200, -11.54% from MA50\n- WLH_CFD.FR: -73.17%, -83.78% from MA200, -71.81% from MA50 (extreme move)\n- AMCX_CFD.US: -12.06%, -8.18% from MA200, -12.69% from MA50\n\n**Mean Reversion Logic:**\nFor stocks that moved up big, we want them to be overbought (far above MA) to short them, or oversold (far below MA) to buy them.\n\nFor stocks that moved down big, we want them to be oversold (far below MA) to buy them.\n\nLet me categorize:\n\n**Potential SHORT candidates (overbought after big up move):**\n- WTB_CFD.UK: +11.66% but BELOW both MAs (contrarian signal, might be bouncing)\n- JDW_CFD.UK: +9.75%, ABOVE both MAs (overbought)\n- DLN_CFD.UK: +10.40%, ABOVE both MAs (overbought)\n- WAF_CFD.DE: +12.13%, ABOVE both MAs (overbought)\n- HMSO_CFD.UK: +14.13%, ABOVE both MAs (overbought)\n- CRST_CFD.UK: +25.18%, ABOVE both MAs (overbought)\n\n**Potential LONG candidates (oversold after big down move):**\n- IWG_CFD.UK: -16.57%, BELOW both MAs (oversold)\n- VTY_CFD.UK: -41.76%, BELOW both MAs (extremely oversold)\n- VSVS_CFD.UK: -10.35%, mixed signals (above MA200, below MA50)\n- WIZZ_CFD.UK: -20.55%, BELOW both MAs (oversold)\n- FUTR_CFD.UK: -20.82%, BELOW both MAs (oversold)\n- ICG_CFD.UK: -13.36%, BELOW both MAs (oversold)\n- WLH_CFD.FR: -73.17%, BELOW both MAs (extremely oversold)\n- AMCX_CFD.US: -12.06%, BELOW both MAs (oversold)\n\n**Volatility considerations:**\nHigh volatility is good for mean reversion. Let me check the highest volatility stocks:\n- WLH_CFD.FR: 429.49% (extreme)\n- VTY_CFD.UK: 211.53%\n- FUTR_CFD.UK: 153.59%\n- WIZZ_CFD.UK: 174.34%\n- IWG_CFD.UK: 135.80%\n- AMCX_CFD.US: 111.70%\n\n**Selection approach:**\nI need to pick 5 stocks with strong mean-reversion signals. Since sectors are unknown, I'll focus on technical signals only.\n\nGood candidates for LONG (oversold):\n1. **VTY_CFD.UK**: -41.76% in one day, -32.94% from MA200, -33.64% from MA50, high volatility (211.53%) - EXTREME oversold\n2. **WIZZ_CFD.UK**: -20.55% in one day, -24.88% from MA200, -27.37% from MA50, high volatility (174.34%) - Strong oversold\n3. **FUTR_CFD.UK**: -20.82% in one day, -37.68% from MA200, -24.30% from MA50, high volatility (153.59%) - Strong oversold\n4. **IWG_CFD.UK**: -16.57% in one day, -4.41% from MA200, -10.86% from MA50, high volatility (135.80%) - Moderately oversold\n5. **ICG_CFD.UK**: -13.36% in one day, -15.04% from MA200, -11.54% from MA50, moderate volatility (72.59%) - Moderately oversold\n\nGood candidates for SHORT (overbought):\n1. **CRST_CFD.UK**: +25.18% in one day, +2.14% from MA200, +18.26% from MA50, high volatility (158.50%) - EXTREME overbought\n2. **HMSO_CFD.UK**: +14.13% in one day, +22.52% from MA200, +10.01% from MA50, high volatility (87.55%) - Strong overbought\n3. **WAF_CFD.DE**: +12.13% in one day, +24.32% from MA200, +7.60% from MA50, high volatility (106.25%) - Strong overbought\n4. **DLN_CFD.UK**: +10.40% in one day, +5.07% from MA200, +12.15% from MA50, high volatility (115.39%) - Strong overbought\n5. **JDW_CFD.UK**: +9.75% in one day, +6.24% from MA200, +5.29% from MA50, high volatility (98.24%) - Moderately overbought\n\n**Balanced selection:**\nI should pick a mix of long and short candidates for mean reversion. Since the strategy is \"mean reversion\" without specifying direction, I should select the strongest signals regardless of direction.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from moving averages (absolute value)\n3. Volatility level\n\n**Top 5 candidates:**\n\n1. **VTY_CFD.UK**: -41.76% move, -32.94% from MA200, high volatility - STRONGEST oversold signal\n2. **WLN_CFD.FR**: -73.17% move, -83.78% from MA200, extreme volatility - But this might be too extreme, potentially a delisting or bankruptcy event. The volatility is 429%, which is extremely high. This could be a binary event. I should avoid it due to \"avoid highly binary/event-driven moves\" rule, even though I don't have explicit news.\n3. **CRST_CFD.UK**: +25.18% move, +18.26% from MA50, high volatility - STRONGEST overbought signal\n4. **WIZZ_CFD.UK**: -20.55% move, -27.37% from MA50, high volatility - Strong oversold\n5. **FUTR_CFD.UK**: -20.82% move, -37.68% from MA200, high volatility - Strong oversold\n6. **WAF_CFD.DE**: +12.13% move, +24.32% from MA200, high volatility - Strong overbought\n\nLet me reconsider WLN_CFD.FR: -73% move in one day with 429% volatility. This is likely a corporate action, delisting, or bankruptcy. The rule says \"Avoid highly binary/event-driven moves (if known)\". Since I don't have news, I cannot confirm, but this looks suspicious. I should avoid it to be safe.\n\nSo my final 5:\n1. **VTY_CFD.UK** (LONG) - Extreme oversold, high volatility\n2. **CRST_CFD.UK** (SHORT) - Extreme overbought, high volatility\n3. **WIZZ_CFD.UK** (LONG) - Strong oversold, high volatility\n4. **FUTR_CFD.UK** (LONG) - Strong oversold, high volatility\n5. **WAF_CFD.DE** (SHORT) - Strong overbought, high volatility\n\nWait, I have 3 LONGs and 2 SHORTs. That's fine for a mean-reversion strategy.\n\nLet me double-check the signals:\n- **VTY_CFD.UK**: -41.76% day, -32.94% from MA200, -33.64% from MA50, vol 211.53% - Score: 95\n- **CRST_CFD.UK**: +25.18% day, +2.14% from MA200, +18.26% from MA50, vol 158.50% - Score: 90 (the distance from MA200 is small, but the day move is huge)\n- **WIZZ_CFD.UK**: -20.55% day, -24.88% from MA200, -27.37% from MA50, vol 174.34% - Score: 88\n- **FUTR_CFD.UK**: -20.82% day, -37.68% from MA200, -24.30% from MA50, vol 153.59% - Score: 87\n- **WAF_CFD.DE**: +12.13% day, +24.32% from MA200, +7.60% from MA50, vol 106.25% - Score: 85\n\nAlternative candidates:\n- **IWG_CFD.UK**: -16.57% day, -4.41% from MA200, -10.86% from MA50, vol 135.80% - Score: 75\n- **DLN_CFD.UK**: +10.40% day, +5.07% from MA200, +12.15% from MA50, vol 115.39% - Score: 78\n- **HMSO_CFD.UK**: +14.13% day, +22.52% from MA200, +10.01% from MA50, vol 87.55% - Score: 80\n\nI think my selection is solid. All have strong technical signals for mean reversion.\n\nNow I need to create the JSON output with:\n- symbol\n- mean_reversion_score (integer 0-100)\n- selection_reason (short, concrete, indicator-based)\n\nAnd rejected_common_reasons array.\n\nLet me craft the reasons:\n1. VTY_CFD.UK: \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n2. CRST_CFD.UK: \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n3. WIZZ_CFD.UK: \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n4. FUTR_CFD.UK: \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n5. WAF_CFD.DE: \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n\nFor rejected_common_reasons, I should list common reasons why other stocks were rejected:\n- \"Insufficient 1-day move magnitude for mean reversion signal\"\n- \"Distance from moving averages too small for reliable reversion\"\n- \"Volatility too low for adequate profit potential\"\n- \"Extreme move likely binary event (e.g., WLN -73% drop)\"\n\nLet me refine the scores to be more precise:\n- VTY_CFD.UK: 95 (extreme move, extreme distance, high vol)\n- CRST_CFD.UK: 92 (extreme move, large distance from MA50, high vol)\n- WIZZ_CFD.UK: 88 (large move, large distance, high vol)\n- FUTR_CFD.UK: 87 (large move, very large distance from MA200, high vol)\n- WAF_CFD.DE: 85 (large move, large distance from MA200, good vol)\n\nI should also mention that I avoided WLN_CFD.FR due to extreme move likely being a binary event.\n\nFinal JSON structure:\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"VTY_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n    },\n    {\n      \"symbol\": \"WIZZ_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"FUTR_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"WAF_CFD.DE\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Insufficient 1-day move magnitude for mean reversion signal\",\n    \"Distance from moving averages too small for reliable reversion setup\",\n    \"Extreme single-day moves (>70%) flagged as potential binary events and avoided\",\n    \"Volatility too low for adequate profit potential\"\n  ]\n}\n```\n\nWait, I need to check if any of these have earnings within 5 days. All earnings data is null, so I cannot know. The rule says \"if known\", so it's fine to ignore.\n\nAlso, I need to check sector concentration. All sectors are empty/unknown, so I cannot enforce this. The rule says \"sector may be unknown\", so it's fine.\n\nLet me verify the calculations:\n- VTY: change_1d_pct = -41.758..., distance_from_ma200_pct = -32.939..., distance_from_ma50_pct = -33.642..., volatility_20d_pct = 211.528... - Correct\n- CRST: change_1d_pct = 25.184..., distance_from_ma200_pct = 2.135..., distance_from_ma50_pct = 18.261..., volatility_20d_pct = 158.502... - Correct\n- WIZZ: change_1d_pct = -20.549..., distance_from_ma200_pct = -24.878..., distance_from_ma50_pct = -27.374..., volatility_20d_pct = 174.341... - Correct\n- FUTR: change_1d_pct = -20.822..., distance_from_ma200_pct = -37.683..., distance_from_ma50_pct = -24.301..., volatility_20d_pct = 153.590... - Correct\n- WAF: change_1d",
          "reasoning_details": [
            {
              "text": " The user wants me to act as an Arena strategy executor for a mean-reversion strategy. I need to:\n1. Scan the provided universe of stocks\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Follow the strategy rules strictly\n4. Output ONLY valid JSON\n5. Not invent any data\n6. Treat null/empty fields as unknown\n\nKey constraints:\n- Select exactly 5 candidates\n- Avoid earnings within 5 trading days (if known) - but all earnings data is null, so this constraint doesn't apply\n- Avoid highly binary/event-driven moves (if known) - no news data, so can't assess this\n- Avoid sector concentration: max 1 per sector unless clearly justified - but sector data is empty for all stocks, so I cannot enforce this constraint meaningfully. I'll have to treat them as \"unknown\" sector and select based purely on technical signals.\n\nStrategy: \"Two-Stage LLM Mean-Reversion (Arena v1)\" - this suggests looking for stocks that have moved significantly in one direction and are likely to revert to their mean.\n\nFor mean reversion, I should look for:\n- Large 1-day moves (both positive and negative)\n- Distance from moving averages (oversold/overbought conditions)\n- High volatility (creates opportunities for reversion)\n- Liquid stocks (but volume data is null)\n\nLet me analyze the candidates:\n\n**Large positive movers:**\n- WTB_CFD.UK: +11.66%, -5.97% from MA200, -5.07% from MA50\n- JDW_CFD.UK: +9.75%, +6.24% from MA200, +5.29% from MA50\n- DLN_CFD.UK: +10.40%, +5.07% from MA200, +12.15% from MA50\n- WAF_CFD.DE: +12.13%, +24.32% from MA200, +7.60% from MA50\n- HMSO_CFD.UK: +14.13%, +22.52% from MA200, +10.01% from MA50\n- CRST_CFD.UK: +25.18%, +2.14% from MA200, +18.26% from MA50\n\n**Large negative movers:**\n- IWG_CFD.UK: -16.57%, -4.41% from MA200, -10.86% from MA50\n- VTY_CFD.UK: -41.76%, -32.94% from MA200, -33.64% from MA50 (extreme move)\n- VSVS_CFD.UK: -10.35%, +13.32% from MA200, -1.78% from MA50\n- WIZZ_CFD.UK: -20.55%, -24.88% from MA200, -27.37% from MA50\n- FUTR_CFD.UK: -20.82%, -37.68% from MA200, -24.30% from MA50\n- ICG_CFD.UK: -13.36%, -15.04% from MA200, -11.54% from MA50\n- WLH_CFD.FR: -73.17%, -83.78% from MA200, -71.81% from MA50 (extreme move)\n- AMCX_CFD.US: -12.06%, -8.18% from MA200, -12.69% from MA50\n\n**Mean Reversion Logic:**\nFor stocks that moved up big, we want them to be overbought (far above MA) to short them, or oversold (far below MA) to buy them.\n\nFor stocks that moved down big, we want them to be oversold (far below MA) to buy them.\n\nLet me categorize:\n\n**Potential SHORT candidates (overbought after big up move):**\n- WTB_CFD.UK: +11.66% but BELOW both MAs (contrarian signal, might be bouncing)\n- JDW_CFD.UK: +9.75%, ABOVE both MAs (overbought)\n- DLN_CFD.UK: +10.40%, ABOVE both MAs (overbought)\n- WAF_CFD.DE: +12.13%, ABOVE both MAs (overbought)\n- HMSO_CFD.UK: +14.13%, ABOVE both MAs (overbought)\n- CRST_CFD.UK: +25.18%, ABOVE both MAs (overbought)\n\n**Potential LONG candidates (oversold after big down move):**\n- IWG_CFD.UK: -16.57%, BELOW both MAs (oversold)\n- VTY_CFD.UK: -41.76%, BELOW both MAs (extremely oversold)\n- VSVS_CFD.UK: -10.35%, mixed signals (above MA200, below MA50)\n- WIZZ_CFD.UK: -20.55%, BELOW both MAs (oversold)\n- FUTR_CFD.UK: -20.82%, BELOW both MAs (oversold)\n- ICG_CFD.UK: -13.36%, BELOW both MAs (oversold)\n- WLH_CFD.FR: -73.17%, BELOW both MAs (extremely oversold)\n- AMCX_CFD.US: -12.06%, BELOW both MAs (oversold)\n\n**Volatility considerations:**\nHigh volatility is good for mean reversion. Let me check the highest volatility stocks:\n- WLH_CFD.FR: 429.49% (extreme)\n- VTY_CFD.UK: 211.53%\n- FUTR_CFD.UK: 153.59%\n- WIZZ_CFD.UK: 174.34%\n- IWG_CFD.UK: 135.80%\n- AMCX_CFD.US: 111.70%\n\n**Selection approach:**\nI need to pick 5 stocks with strong mean-reversion signals. Since sectors are unknown, I'll focus on technical signals only.\n\nGood candidates for LONG (oversold):\n1. **VTY_CFD.UK**: -41.76% in one day, -32.94% from MA200, -33.64% from MA50, high volatility (211.53%) - EXTREME oversold\n2. **WIZZ_CFD.UK**: -20.55% in one day, -24.88% from MA200, -27.37% from MA50, high volatility (174.34%) - Strong oversold\n3. **FUTR_CFD.UK**: -20.82% in one day, -37.68% from MA200, -24.30% from MA50, high volatility (153.59%) - Strong oversold\n4. **IWG_CFD.UK**: -16.57% in one day, -4.41% from MA200, -10.86% from MA50, high volatility (135.80%) - Moderately oversold\n5. **ICG_CFD.UK**: -13.36% in one day, -15.04% from MA200, -11.54% from MA50, moderate volatility (72.59%) - Moderately oversold\n\nGood candidates for SHORT (overbought):\n1. **CRST_CFD.UK**: +25.18% in one day, +2.14% from MA200, +18.26% from MA50, high volatility (158.50%) - EXTREME overbought\n2. **HMSO_CFD.UK**: +14.13% in one day, +22.52% from MA200, +10.01% from MA50, high volatility (87.55%) - Strong overbought\n3. **WAF_CFD.DE**: +12.13% in one day, +24.32% from MA200, +7.60% from MA50, high volatility (106.25%) - Strong overbought\n4. **DLN_CFD.UK**: +10.40% in one day, +5.07% from MA200, +12.15% from MA50, high volatility (115.39%) - Strong overbought\n5. **JDW_CFD.UK**: +9.75% in one day, +6.24% from MA200, +5.29% from MA50, high volatility (98.24%) - Moderately overbought\n\n**Balanced selection:**\nI should pick a mix of long and short candidates for mean reversion. Since the strategy is \"mean reversion\" without specifying direction, I should select the strongest signals regardless of direction.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from moving averages (absolute value)\n3. Volatility level\n\n**Top 5 candidates:**\n\n1. **VTY_CFD.UK**: -41.76% move, -32.94% from MA200, high volatility - STRONGEST oversold signal\n2. **WLN_CFD.FR**: -73.17% move, -83.78% from MA200, extreme volatility - But this might be too extreme, potentially a delisting or bankruptcy event. The volatility is 429%, which is extremely high. This could be a binary event. I should avoid it due to \"avoid highly binary/event-driven moves\" rule, even though I don't have explicit news.\n3. **CRST_CFD.UK**: +25.18% move, +18.26% from MA50, high volatility - STRONGEST overbought signal\n4. **WIZZ_CFD.UK**: -20.55% move, -27.37% from MA50, high volatility - Strong oversold\n5. **FUTR_CFD.UK**: -20.82% move, -37.68% from MA200, high volatility - Strong oversold\n6. **WAF_CFD.DE**: +12.13% move, +24.32% from MA200, high volatility - Strong overbought\n\nLet me reconsider WLN_CFD.FR: -73% move in one day with 429% volatility. This is likely a corporate action, delisting, or bankruptcy. The rule says \"Avoid highly binary/event-driven moves (if known)\". Since I don't have news, I cannot confirm, but this looks suspicious. I should avoid it to be safe.\n\nSo my final 5:\n1. **VTY_CFD.UK** (LONG) - Extreme oversold, high volatility\n2. **CRST_CFD.UK** (SHORT) - Extreme overbought, high volatility\n3. **WIZZ_CFD.UK** (LONG) - Strong oversold, high volatility\n4. **FUTR_CFD.UK** (LONG) - Strong oversold, high volatility\n5. **WAF_CFD.DE** (SHORT) - Strong overbought, high volatility\n\nWait, I have 3 LONGs and 2 SHORTs. That's fine for a mean-reversion strategy.\n\nLet me double-check the signals:\n- **VTY_CFD.UK**: -41.76% day, -32.94% from MA200, -33.64% from MA50, vol 211.53% - Score: 95\n- **CRST_CFD.UK**: +25.18% day, +2.14% from MA200, +18.26% from MA50, vol 158.50% - Score: 90 (the distance from MA200 is small, but the day move is huge)\n- **WIZZ_CFD.UK**: -20.55% day, -24.88% from MA200, -27.37% from MA50, vol 174.34% - Score: 88\n- **FUTR_CFD.UK**: -20.82% day, -37.68% from MA200, -24.30% from MA50, vol 153.59% - Score: 87\n- **WAF_CFD.DE**: +12.13% day, +24.32% from MA200, +7.60% from MA50, vol 106.25% - Score: 85\n\nAlternative candidates:\n- **IWG_CFD.UK**: -16.57% day, -4.41% from MA200, -10.86% from MA50, vol 135.80% - Score: 75\n- **DLN_CFD.UK**: +10.40% day, +5.07% from MA200, +12.15% from MA50, vol 115.39% - Score: 78\n- **HMSO_CFD.UK**: +14.13% day, +22.52% from MA200, +10.01% from MA50, vol 87.55% - Score: 80\n\nI think my selection is solid. All have strong technical signals for mean reversion.\n\nNow I need to create the JSON output with:\n- symbol\n- mean_reversion_score (integer 0-100)\n- selection_reason (short, concrete, indicator-based)\n\nAnd rejected_common_reasons array.\n\nLet me craft the reasons:\n1. VTY_CFD.UK: \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n2. CRST_CFD.UK: \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n3. WIZZ_CFD.UK: \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n4. FUTR_CFD.UK: \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n5. WAF_CFD.DE: \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n\nFor rejected_common_reasons, I should list common reasons why other stocks were rejected:\n- \"Insufficient 1-day move magnitude for mean reversion signal\"\n- \"Distance from moving averages too small for reliable reversion\"\n- \"Volatility too low for adequate profit potential\"\n- \"Extreme move likely binary event (e.g., WLN -73% drop)\"\n\nLet me refine the scores to be more precise:\n- VTY_CFD.UK: 95 (extreme move, extreme distance, high vol)\n- CRST_CFD.UK: 92 (extreme move, large distance from MA50, high vol)\n- WIZZ_CFD.UK: 88 (large move, large distance, high vol)\n- FUTR_CFD.UK: 87 (large move, very large distance from MA200, high vol)\n- WAF_CFD.DE: 85 (large move, large distance from MA200, good vol)\n\nI should also mention that I avoided WLN_CFD.FR due to extreme move likely being a binary event.\n\nFinal JSON structure:\n```json\n{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"VTY_CFD.UK\",\n      \"mean_reversion_score\": 95,\n      \"selection_reason\": \"41.8% single-day drop, 32.9% below MA200, 33.6% below MA50, 211% volatility - extreme oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"CRST_CFD.UK\",\n      \"mean_reversion_score\": 92,\n      \"selection_reason\": \"25.2% single-day spike, 18.3% above MA50, 158% volatility - extreme overbought mean reversion\"\n    },\n    {\n      \"symbol\": \"WIZZ_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"20.5% single-day drop, 24.9% below MA200, 27.4% below MA50, 174% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"FUTR_CFD.UK\",\n      \"mean_reversion_score\": 87,\n      \"selection_reason\": \"20.8% single-day drop, 37.7% below MA200, 24.3% below MA50, 153% volatility - strong oversold bounce setup\"\n    },\n    {\n      \"symbol\": \"WAF_CFD.DE\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"12.1% single-day spike, 24.3% above MA200, 106% volatility - strong overbought mean reversion\"\n    }\n  ],\n  \"rejected_common_reasons\": [\n    \"Insufficient 1-day move magnitude for mean reversion signal\",\n    \"Distance from moving averages too small for reliable reversion setup\",\n    \"Extreme single-day moves (>70%) flagged as potential binary events and avoided\",\n    \"Volatility too low for adequate profit potential\"\n  ]\n}\n```\n\nWait, I need to check if any of these have earnings within 5 days. All earnings data is null, so I cannot know. The rule says \"if known\", so it's fine to ignore.\n\nAlso, I need to check sector concentration. All sectors are empty/unknown, so I cannot enforce this. The rule says \"sector may be unknown\", so it's fine.\n\nLet me verify the calculations:\n- VTY: change_1d_pct = -41.758..., distance_from_ma200_pct = -32.939..., distance_from_ma50_pct = -33.642..., volatility_20d_pct = 211.528... - Correct\n- CRST: change_1d_pct = 25.184..., distance_from_ma200_pct = 2.135..., distance_from_ma50_pct = 18.261..., volatility_20d_pct = 158.502... - Correct\n- WIZZ: change_1d_pct = -20.549..., distance_from_ma200_pct = -24.878..., distance_from_ma50_pct = -27.374..., volatility_20d_pct = 174.341... - Correct\n- FUTR: change_1d_pct = -20.822..., distance_from_ma200_pct = -37.683..., distance_from_ma50_pct = -24.301..., volatility_20d_pct = 153.590... - Correct\n- WAF: change_1d",
              "type": "reasoning.text",
              "index": 0,
              "format": "unknown"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "length"
      }
    ],
    "created": 1773685636,
    "provider": "DeepInfra",
    "system_fingerprint": null
  }
}