Arena run #950

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": "CRST_CFD.UK", "name": "CREST NICHOLSON HOLDINGS", "sector": "", "last_price": 167.8, "change_1d_pct": 24.85119047619049, "distance_from_ma200_pct": 1.2720261375977815, "distance_from_ma50_pct": 17.82963155418549, "volatility_20d_pct": 158.46878099582966, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "MSLH_CFD.UK", "name": "MARSHALLS PLC", "sector": "", "last_price": 179.0, "change_1d_pct": 2.052451539338662, "distance_from_ma200_pct": -18.41965657865713, "distance_from_ma50_pct": 4.539832012082234, "volatility_20d_pct": 102.90810964969117, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "BOY_CFD.UK", "name": "BODYCOTE PLC", "sector": "", "last_price": 775.4, "change_1d_pct": 24.163330664531625, "distance_from_ma200_pct": 28.652243313347768, "distance_from_ma50_pct": 18.63612217470385, "volatility_20d_pct": 103.46484337510964, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "LMP_CFD.UK", "name": "LONDONMETRIC PROPERTY PLC", "sector": "", "last_price": 214.0, "change_1d_pct": 11.57455683003128, "distance_from_ma200_pct": 12.507879494597773, "distance_from_ma50_pct": 10.77384329331672, "volatility_20d_pct": 54.89150861607771, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "SPX_CFD.UK", "name": "SPIRAX-SARCO ENGINEERING PLC", "sector": "", "last_price": 7608.71, "change_1d_pct": 10.91413994169097, "distance_from_ma200_pct": 15.905097055024719, "distance_from_ma50_pct": 8.459177525660632, "volatility_20d_pct": 84.71063298478786, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "PAGE_CFD.UK", "name": "PAGEGROUP PLC", "sector": "", "last_price": 152.7, "change_1d_pct": -36.79635761589404, "distance_from_ma200_pct": -40.61156091058385, "distance_from_ma50_pct": -31.72721647345812, "volatility_20d_pct": 193.22753953431183, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "FUTR_CFD.UK", "name": "FUTURE PLC", "sector": "", "last_price": 419.8, "change_1d_pct": -21.238273921200744, "distance_from_ma200_pct": -37.8057811437588, "distance_from_ma50_pct": -23.777028015845957, "volatility_20d_pct": 154.26286041137905, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "ESNT_CFD.UK", "name": "ESSENTRA PLC", "sector": "", "last_price": 108.4, "change_1d_pct": 4.230769230769238, "distance_from_ma200_pct": 7.40452119530135, "distance_from_ma50_pct": 9.771484932749797, "volatility_20d_pct": 98.9832071461764, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "JDW_CFD.UK", "name": "WETHERSPOON (J.D.) PLC", "sector": "", "last_price": 748.5, "change_1d_pct": 9.750733137829904, "distance_from_ma200_pct": 6.242631058659898, "distance_from_ma50_pct": 5.290077328071208, "volatility_20d_pct": 98.2373545531062, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "MCG_CFD.UK", "name": "MOBICO GROUP PLC", "sector": "", "last_price": 19.51, "change_1d_pct": -21.646586345381515, "distance_from_ma200_pct": -29.294942649537013, "distance_from_ma50_pct": -17.188746837807088, "volatility_20d_pct": 260.52106739031456, "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", 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"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": "UTG_CFD.UK", "name": "UNITE GROUP PLC/THE", "sector": "", "last_price": 505.0, "change_1d_pct": -8.265213442325159, "distance_from_ma200_pct": -32.12786599325862, "distance_from_ma50_pct": -13.548388422126267, "volatility_20d_pct": 98.87339279796446, "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": "CBG_CFD.UK", "name": "CLOSE BROTHERS GROUP PLC", "sector": "", 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"distance_from_ma200_pct": -6.5045509221490105, "distance_from_ma50_pct": -0.1025081463074895, "volatility_20d_pct": 110.62209591564869, "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": "VIAV_CFD.US", "name": "VIAVI SOLUTIONS INC", "sector": "", "last_price": 31.19, "change_1d_pct": -16.915290356952582, "distance_from_ma200_pct": 81.79433750564648, "distance_from_ma50_pct": 11.58653949354953, "volatility_20d_pct": 154.83519556948903, "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, 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22.516025502913806, "distance_from_ma50_pct": 10.006914897239172, "volatility_20d_pct": 87.54938293511039, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "GLO_CFD.FR", "name": "GL Events", "sector": "", "last_price": 29.25, "change_1d_pct": -5.797101449275366, "distance_from_ma200_pct": -2.880578639172615, "distance_from_ma50_pct": -9.170235163695416, "volatility_20d_pct": 91.53331872104411, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}], "output_schema": {"selected_stocks": [{"symbol": "string", "mean_reversion_score": "integer 0-100", "selection_reason": "short, concrete, indicator-based"}], 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          "reasoning": "The user wants me to perform a \"stage1_universe_scan\" for the \"meanrev-v1\" strategy. This is a two-stage LLM mean-reversion strategy.\n\nLet me break down the requirements:\n\n**Strategy Rules:**\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\n- universe_symbols_eu: []\n- universe_symbols_us: []\n\n**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\n**Output Schema:**\n- selected_stocks: array of objects with symbol, mean_reversion_score (0-100), selection_reason (short, concrete, indicator-based)\n- rejected_common_reasons: array of strings\n\n**Data Analysis:**\nI have a universe of stocks, mostly UK CFDs, with some DE, FR, and one US (VIAV_CFD.US). The data includes:\n- symbol, name, sector (all empty), last_price, change_1d_pct, distance_from_ma200_pct, distance_from_ma50_pct, volatility_20d_pct, and various null fields.\n\nFor mean reversion, I should look for:\n1. Large moves in either direction (overbought/oversold)\n2. Distance from moving averages (extreme values suggest potential reversion)\n3. High volatility (creates opportunities for reversion)\n4. Liquidity (but no volume data provided, so I'll have to assume based on price levels and typical CFD liquidity)\n\nSince sectors are all empty, I cannot enforce sector concentration constraints meaningfully. I should note this in rejected reasons if needed.\n\nLet me identify potential candidates:\n\n**Large positive moves (potentially overbought):**\n- CRST_CFD.UK: +24.85%, near MA50 (+17.8%), high vol (158%)\n- BOY_CFD.UK: +24.16%, far above MA200 (+28.7%), high vol (103%)\n- RSW_CFD.UK: +18.16%, far above MA200 (+36.8%), high vol (92.6%)\n- MAB_CFD.UK: +14.38%, above MA200 (+11.6%), high vol (118.9%)\n- HMSO_CFD.UK: +14.13%, above MA200 (+22.5%), vol (87.5%)\n- LMP_CFD.UK: +11.57%, above MA200 (+12.5%), vol (54.9%)\n- SPX_CFD.UK: +10.91%, above MA200 (+15.9%), vol (84.7%)\n- DLN_CFD.UK: +10.40%, above MA200 (+5.1%), vol (115.4%)\n- JDW_CFD.UK: +9.75%, above MA200 (+6.2%), vol (98.2%)\n- INVP_CFD.UK: +8.53%, above MA200 (+17.3%), vol (77%)\n- LIO_CFD.UK: +7.78%, below MA200 (-17.1%), vol (138.5%)\n- CMCX_CFD.UK: +6.49%, above MA200 (+33.7%), very high vol (207%)\n- BBY_CFD.UK: +5.22%, above MA200 (+33.3%), vol (54.3%)\n- ESNT_CFD.UK: +4.23%, above MA200 (+7.4%), vol (99%)\n- EMG_CFD.UK: +2.35%, far above MA200 (+42.2%), vol (86.9%)\n- MSLH_CFD.UK: +2.05%, below MA200 (-18.4%), vol (102.9%)\n\n**Large negative moves (potentially oversold):**\n- PAGE_CFD.UK: -36.80%, far below MA200 (-40.6%), very high vol (193%)\n- IWG_CFD.UK: -26.79%, below MA200 (-17.6%), high vol (154%)\n- CBG_CFD.UK: -26.63%, below MA200 (-13.4%), very high vol (169%)\n- FUTR_CFD.UK: -21.24%, below MA200 (-37.8%), high vol (154%)\n- MCG_CFD.UK: -21.65%, below MA200 (-29.3%), extreme vol (260.5%)\n- OCDO_CFD.UK: -21.15%, below MA200 (-15.8%), extreme vol (241.3%)\n- HIK_CFD.UK: -19.56%, below MA200 (-28.9%), high vol (155.6%)\n- PSN_CFD.UK: -18.18%, below MA200 (-10.4%), high vol (125.4%)\n- KGF_CFD.UK: -16.59%, slightly above MA200 (+1.8%), high vol (106.8%)\n- VIAV_CFD.US: -16.92%, far above MA200 (+81.8%), high vol (154.8%)\n- BYIT_CFD.UK: -12.67%, below MA200 (-28.0%), vol (87.8%)\n- PZC_CFD.UK: -13.86%, slightly above MA200 (+3.0%), vol (92.7%)\n- UTG_CFD.UK: -8.27%, below MA200 (-32.1%), vol (98.9%)\n- ROR_CFD.UK: -7.82%, below MA200 (-3.4%), vol (114.5%)\n- ABDN_CFD.UK: -7.74%, above MA200 (+6.5%), vol (82.6%)\n- LRE_CFD.UK: -7.42%, near MA200 (+0.4%), vol (86.3%)\n- TBCG_CFD.UK: -3.17%, below MA200 (-6.5%), vol (110.6%)\n- PAG_CFD.UK: -3.40%, near MA200 (-1.3%), vol (71.5%)\n- GRG_CFD.UK: -2.75%, below MA200 (-11.4%), extreme vol (3782.8%)\n- HWDN_CFD.UK: -2.69%, above MA200 (+2.9%), low vol (44.2%)\n- SHC_CFD.UK: -2.90%, near MA200 (+0.3%), vol (63.8%)\n- IPO_CFD.UK: -1.87%, above MA200 (+10.2%), vol (89.8%)\n- RHK_CFD.DE: -0.79%, near MA200 (+1.0%), vol (112%)\n- UKW_CFD.UK: -0.05%, below MA200 (-11.4%), vol (64.2%)\n- SAFE_CFD.UK: +0.14%, above MA200 (+7.1%), vol (108%)\n- ATG_CFD.UK: +0.32%, near MA50 (+0.8%), extreme vol (2871.9%)\n- SRP_CFD.UK: -0.40%, above MA200 (+34.1%), vol (77.9%)\n- DOM_CFD.UK: -0.31%, below MA200 (-15.1%), vol (87.9%)\n\nFor mean reversion, I want stocks that have moved significantly in either direction and are at extremes from their moving averages. High volatility is also good for this strategy.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from MA50 (absolute value) - this is more relevant for short-term reversion\n3. Volatility level (higher is better for mean reversion opportunities)\n4. Avoid extreme outliers that might be event-driven (but I have no news data)\n\nI need to select exactly 5 candidates. Let me identify the best ones:\n\n**Top candidates for mean reversion:**\n\n1. **PAGE_CFD.UK**: -36.8% move, -31.7% from MA50, very high vol (193%). This is a strong candidate for bounce.\n2. **IWG_CFD.UK**: -26.8% move, -22.1% from MA50, high vol (154%). Good candidate.\n3. **CBG_CFD.UK**: -26.6% move, -22.1% from MA50, very high vol (169%). Good candidate.\n4. **MCG_CFD.UK**: -21.6% move, -17.2% from MA50, extreme vol (260.5%). Very high volatility might be risky but good for mean reversion.\n5. **OCDO_CFD.UK**: -21.1% move, -5.5% from MA50, extreme vol (241.3%). Good candidate.\n6. **FUTR_CFD.UK**: -21.2% move, -23.8% from MA50, high vol (154%). Good candidate.\n7. **HIK_CFD.UK**: -19.6% move, -15.7% from MA50, high vol (155.6%). Good candidate.\n8. **PSN_CFD.UK**: -18.2% move, -17.6% from MA50, high vol (125.4%). Good candidate.\n9. **VIAV_CFD.US**: -16.9% move, +11.6% from MA50, high vol (154.8%). Interesting - big drop but still above MA50.\n10. **KGF_CFD.UK**: -16.6% move, -8.1% from MA50, high vol (106.8%). Good candidate.\n11. **CRST_CFD.UK**: +24.9% move, +17.8% from MA50, high vol (158%). Overbought candidate.\n12. **BOY_CFD.UK**: +24.2% move, +18.6% from MA50, high vol (103%). Overbought candidate.\n\nI need to select exactly 5. I should probably mix oversold and overbought candidates for diversification, but since sectors are unknown, I can just pick the best technical setups.\n\nLet me create a scoring system:\n- 1-day move magnitude: 40 points max (higher absolute move = higher score)\n- Distance from MA50: 30 points max (higher absolute distance = higher score)\n- Volatility: 30 points max (higher vol = higher score, but with diminishing returns above 200%)\n\nLet me calculate scores for top candidates:\n\n**PAGE_CFD.UK**:\n- Move: 36.8% = 35/40 points\n- Dist from MA50: 31.7% = 28/30 points\n- Vol: 193% = 28/30 points\n- Total: ~91/100\n\n**IWG_CFD.UK**:\n- Move: 26.8% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 154% = 25/30\n- Total: ~72/100\n\n**CBG_CFD.UK**:\n- Move: 26.6% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 169% = 27/30\n- Total: ~74/100\n\n**MCG_CFD.UK**:\n- Move: 21.6% = 20/40\n- Dist: 17.2% = 17/30\n- Vol: 260.5% = 30/30 (capped)\n- Total: ~67/100\n\n**OCDO_CFD.UK**:\n- Move: 21.1% = 20/40\n- Dist: 5.5% = 8/30\n- Vol: 241.3% = 30/30\n- Total: ~58/100\n\n**FUTR_CFD.UK**:\n- Move: 21.2% = 20/40\n- Dist: 23.8% = 24/30\n- Vol: 154% = 25/30\n- Total: ~69/100\n\n**HIK_CFD.UK**:\n- Move: 19.6% = 18/40\n- Dist: 15.7% = 15/30\n- Vol: 155.6% = 26/30\n- Total: ~59/100\n\n**PSN_CFD.UK**:\n- Move: 18.2% = 17/40\n- Dist: 17.6% = 17/30\n- Vol: 125.4% = 22/30\n- Total: ~56/100\n\n**VIAV_CFD.US**:\n- Move: 16.9% = 16/40\n- Dist: 11.6% = 12/30\n- Vol: 154.8% = 25/30\n- Total: ~53/100\n\n**CRST_CFD.UK**:\n- Move: 24.9% = 24/40\n- Dist: 17.8% = 18/30\n- Vol: 158% = 26/30\n- Total: ~68/100\n\n**BOY_CFD.UK**:\n- Move: 24.2% = 23/40\n- Dist: 18.6% = 19/30\n- Vol: 103% = 20/30\n- Total: ~62/100\n\nBased on this scoring, the top 5 would be:\n1. PAGE_CFD.UK (91)\n2. CBG_CFD.UK (74)\n3. IWG_CFD.UK (72)\n4. FUTR_CFD.UK (69)\n5. CRST_CFD.UK (68) or MCG_CFD.UK (67)\n\nLet me reconsider. For mean reversion, I want:\n- Oversold stocks that might bounce (large negative move, far below MA)\n- Overbought stocks that might pull back (large positive move, far above MA)\n\nI should probably pick a mix. Let me select:\n\n1. **PAGE_CFD.UK** - Best oversold candidate\n2. **CBG_CFD.UK** - Strong oversold candidate\n3. **CRST_CFD.UK** - Best overbought candidate\n4. **IWG_CFD.UK** - Good oversold candidate\n5. **FUTR_CFD.UK** - Good oversold candidate\n\nWait, that's 4 oversold and 1 overbought. Let me check if I should include another overbought for balance.\n\nAlternative selection:\n1. PAGE_CFD.UK (oversold)\n2. CBG_CFD.UK (oversold)\n3. CRST_CFD.UK (overbought)\n4. BOY_CFD.UK (overbought)\n5. IWG_CFD.UK (oversold)\n\nThis gives 3 oversold, 2 overbought. Better balance.\n\nLet me refine the scores to be more precise:\n\n**PAGE_CFD.UK**:\n- Move: -36.8% → 37/40 (extreme move)\n- Dist from MA50: -31.7% → 28/30 (very far)\n- Vol: 193% → 28/30 (high)\n- **Score: 93**\n\n**CBG_CFD.UK**:\n- Move: -26.6% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 169% → 27/30\n- **Score: 76**\n\n**CRST_CFD.UK**:\n- Move: +24.9% → 25/40\n- Dist: +17.8% → 18/30\n- Vol: 158% → 26/30\n- **Score: 69**\n\n**BOY_CFD.UK**:\n- Move: +24.2% → 24/40\n- Dist: +18.6% → 19/30\n- Vol: 103% → 21/30\n- **Score: 64**\n\n**IWG_CFD.UK**:\n- Move: -26.8% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 154% → 25/30\n- **Score: 74**\n\n**FUTR_CFD.UK**:\n- Move: -21.2% → 21/40\n- Dist: -23.8% → 24/30\n- Vol: 154% → 25/30\n- **Score: 70**\n\nSo the top 5 are:\n1. PAGE_CFD.UK (93)\n2. CBG_CFD.UK (76)\n3. IWG_CFD.UK (74)\n4. FUTR_CFD.UK (70)\n5. CRST_CFD.UK (69)\n\nThis is 4 oversold, 1 overbought. Given that mean reversion works both ways, this is acceptable. The overbought stock (CRST) has a very strong upward move that could revert.\n\nLet me check for any red flags:\n- No earnings data available (all null) - cannot filter on this\n- No news sentiment - cannot filter on event-driven moves\n- No sector data - cannot enforce sector concentration\n- All are CFDs, which are typically liquid enough\n\nThe selection seems valid. I should provide concise, indicator-based reasons.\n\n**Final Selection:**\n1. PAGE_CFD.UK - Oversold extreme\n2. CBG_CFD.UK - Oversold with high vol\n3. IWG_CFD.UK - Oversold with high vol\n4. FUTR_CFD.UK - Oversold extreme distance from MA\n5. CRST_CFD.UK - Overbought extreme\n\nWait, I should also consider MCG_CFD.UK. It has -21.6% move, -17.2",
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              "text": "The user wants me to perform a \"stage1_universe_scan\" for the \"meanrev-v1\" strategy. This is a two-stage LLM mean-reversion strategy.\n\nLet me break down the requirements:\n\n**Strategy Rules:**\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\n- universe_symbols_eu: []\n- universe_symbols_us: []\n\n**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\n**Output Schema:**\n- selected_stocks: array of objects with symbol, mean_reversion_score (0-100), selection_reason (short, concrete, indicator-based)\n- rejected_common_reasons: array of strings\n\n**Data Analysis:**\nI have a universe of stocks, mostly UK CFDs, with some DE, FR, and one US (VIAV_CFD.US). The data includes:\n- symbol, name, sector (all empty), last_price, change_1d_pct, distance_from_ma200_pct, distance_from_ma50_pct, volatility_20d_pct, and various null fields.\n\nFor mean reversion, I should look for:\n1. Large moves in either direction (overbought/oversold)\n2. Distance from moving averages (extreme values suggest potential reversion)\n3. High volatility (creates opportunities for reversion)\n4. Liquidity (but no volume data provided, so I'll have to assume based on price levels and typical CFD liquidity)\n\nSince sectors are all empty, I cannot enforce sector concentration constraints meaningfully. I should note this in rejected reasons if needed.\n\nLet me identify potential candidates:\n\n**Large positive moves (potentially overbought):**\n- CRST_CFD.UK: +24.85%, near MA50 (+17.8%), high vol (158%)\n- BOY_CFD.UK: +24.16%, far above MA200 (+28.7%), high vol (103%)\n- RSW_CFD.UK: +18.16%, far above MA200 (+36.8%), high vol (92.6%)\n- MAB_CFD.UK: +14.38%, above MA200 (+11.6%), high vol (118.9%)\n- HMSO_CFD.UK: +14.13%, above MA200 (+22.5%), vol (87.5%)\n- LMP_CFD.UK: +11.57%, above MA200 (+12.5%), vol (54.9%)\n- SPX_CFD.UK: +10.91%, above MA200 (+15.9%), vol (84.7%)\n- DLN_CFD.UK: +10.40%, above MA200 (+5.1%), vol (115.4%)\n- JDW_CFD.UK: +9.75%, above MA200 (+6.2%), vol (98.2%)\n- INVP_CFD.UK: +8.53%, above MA200 (+17.3%), vol (77%)\n- LIO_CFD.UK: +7.78%, below MA200 (-17.1%), vol (138.5%)\n- CMCX_CFD.UK: +6.49%, above MA200 (+33.7%), very high vol (207%)\n- BBY_CFD.UK: +5.22%, above MA200 (+33.3%), vol (54.3%)\n- ESNT_CFD.UK: +4.23%, above MA200 (+7.4%), vol (99%)\n- EMG_CFD.UK: +2.35%, far above MA200 (+42.2%), vol (86.9%)\n- MSLH_CFD.UK: +2.05%, below MA200 (-18.4%), vol (102.9%)\n\n**Large negative moves (potentially oversold):**\n- PAGE_CFD.UK: -36.80%, far below MA200 (-40.6%), very high vol (193%)\n- IWG_CFD.UK: -26.79%, below MA200 (-17.6%), high vol (154%)\n- CBG_CFD.UK: -26.63%, below MA200 (-13.4%), very high vol (169%)\n- FUTR_CFD.UK: -21.24%, below MA200 (-37.8%), high vol (154%)\n- MCG_CFD.UK: -21.65%, below MA200 (-29.3%), extreme vol (260.5%)\n- OCDO_CFD.UK: -21.15%, below MA200 (-15.8%), extreme vol (241.3%)\n- HIK_CFD.UK: -19.56%, below MA200 (-28.9%), high vol (155.6%)\n- PSN_CFD.UK: -18.18%, below MA200 (-10.4%), high vol (125.4%)\n- KGF_CFD.UK: -16.59%, slightly above MA200 (+1.8%), high vol (106.8%)\n- VIAV_CFD.US: -16.92%, far above MA200 (+81.8%), high vol (154.8%)\n- BYIT_CFD.UK: -12.67%, below MA200 (-28.0%), vol (87.8%)\n- PZC_CFD.UK: -13.86%, slightly above MA200 (+3.0%), vol (92.7%)\n- UTG_CFD.UK: -8.27%, below MA200 (-32.1%), vol (98.9%)\n- ROR_CFD.UK: -7.82%, below MA200 (-3.4%), vol (114.5%)\n- ABDN_CFD.UK: -7.74%, above MA200 (+6.5%), vol (82.6%)\n- LRE_CFD.UK: -7.42%, near MA200 (+0.4%), vol (86.3%)\n- TBCG_CFD.UK: -3.17%, below MA200 (-6.5%), vol (110.6%)\n- PAG_CFD.UK: -3.40%, near MA200 (-1.3%), vol (71.5%)\n- GRG_CFD.UK: -2.75%, below MA200 (-11.4%), extreme vol (3782.8%)\n- HWDN_CFD.UK: -2.69%, above MA200 (+2.9%), low vol (44.2%)\n- SHC_CFD.UK: -2.90%, near MA200 (+0.3%), vol (63.8%)\n- IPO_CFD.UK: -1.87%, above MA200 (+10.2%), vol (89.8%)\n- RHK_CFD.DE: -0.79%, near MA200 (+1.0%), vol (112%)\n- UKW_CFD.UK: -0.05%, below MA200 (-11.4%), vol (64.2%)\n- SAFE_CFD.UK: +0.14%, above MA200 (+7.1%), vol (108%)\n- ATG_CFD.UK: +0.32%, near MA50 (+0.8%), extreme vol (2871.9%)\n- SRP_CFD.UK: -0.40%, above MA200 (+34.1%), vol (77.9%)\n- DOM_CFD.UK: -0.31%, below MA200 (-15.1%), vol (87.9%)\n\nFor mean reversion, I want stocks that have moved significantly in either direction and are at extremes from their moving averages. High volatility is also good for this strategy.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from MA50 (absolute value) - this is more relevant for short-term reversion\n3. Volatility level (higher is better for mean reversion opportunities)\n4. Avoid extreme outliers that might be event-driven (but I have no news data)\n\nI need to select exactly 5 candidates. Let me identify the best ones:\n\n**Top candidates for mean reversion:**\n\n1. **PAGE_CFD.UK**: -36.8% move, -31.7% from MA50, very high vol (193%). This is a strong candidate for bounce.\n2. **IWG_CFD.UK**: -26.8% move, -22.1% from MA50, high vol (154%). Good candidate.\n3. **CBG_CFD.UK**: -26.6% move, -22.1% from MA50, very high vol (169%). Good candidate.\n4. **MCG_CFD.UK**: -21.6% move, -17.2% from MA50, extreme vol (260.5%). Very high volatility might be risky but good for mean reversion.\n5. **OCDO_CFD.UK**: -21.1% move, -5.5% from MA50, extreme vol (241.3%). Good candidate.\n6. **FUTR_CFD.UK**: -21.2% move, -23.8% from MA50, high vol (154%). Good candidate.\n7. **HIK_CFD.UK**: -19.6% move, -15.7% from MA50, high vol (155.6%). Good candidate.\n8. **PSN_CFD.UK**: -18.2% move, -17.6% from MA50, high vol (125.4%). Good candidate.\n9. **VIAV_CFD.US**: -16.9% move, +11.6% from MA50, high vol (154.8%). Interesting - big drop but still above MA50.\n10. **KGF_CFD.UK**: -16.6% move, -8.1% from MA50, high vol (106.8%). Good candidate.\n11. **CRST_CFD.UK**: +24.9% move, +17.8% from MA50, high vol (158%). Overbought candidate.\n12. **BOY_CFD.UK**: +24.2% move, +18.6% from MA50, high vol (103%). Overbought candidate.\n\nI need to select exactly 5. I should probably mix oversold and overbought candidates for diversification, but since sectors are unknown, I can just pick the best technical setups.\n\nLet me create a scoring system:\n- 1-day move magnitude: 40 points max (higher absolute move = higher score)\n- Distance from MA50: 30 points max (higher absolute distance = higher score)\n- Volatility: 30 points max (higher vol = higher score, but with diminishing returns above 200%)\n\nLet me calculate scores for top candidates:\n\n**PAGE_CFD.UK**:\n- Move: 36.8% = 35/40 points\n- Dist from MA50: 31.7% = 28/30 points\n- Vol: 193% = 28/30 points\n- Total: ~91/100\n\n**IWG_CFD.UK**:\n- Move: 26.8% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 154% = 25/30\n- Total: ~72/100\n\n**CBG_CFD.UK**:\n- Move: 26.6% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 169% = 27/30\n- Total: ~74/100\n\n**MCG_CFD.UK**:\n- Move: 21.6% = 20/40\n- Dist: 17.2% = 17/30\n- Vol: 260.5% = 30/30 (capped)\n- Total: ~67/100\n\n**OCDO_CFD.UK**:\n- Move: 21.1% = 20/40\n- Dist: 5.5% = 8/30\n- Vol: 241.3% = 30/30\n- Total: ~58/100\n\n**FUTR_CFD.UK**:\n- Move: 21.2% = 20/40\n- Dist: 23.8% = 24/30\n- Vol: 154% = 25/30\n- Total: ~69/100\n\n**HIK_CFD.UK**:\n- Move: 19.6% = 18/40\n- Dist: 15.7% = 15/30\n- Vol: 155.6% = 26/30\n- Total: ~59/100\n\n**PSN_CFD.UK**:\n- Move: 18.2% = 17/40\n- Dist: 17.6% = 17/30\n- Vol: 125.4% = 22/30\n- Total: ~56/100\n\n**VIAV_CFD.US**:\n- Move: 16.9% = 16/40\n- Dist: 11.6% = 12/30\n- Vol: 154.8% = 25/30\n- Total: ~53/100\n\n**CRST_CFD.UK**:\n- Move: 24.9% = 24/40\n- Dist: 17.8% = 18/30\n- Vol: 158% = 26/30\n- Total: ~68/100\n\n**BOY_CFD.UK**:\n- Move: 24.2% = 23/40\n- Dist: 18.6% = 19/30\n- Vol: 103% = 20/30\n- Total: ~62/100\n\nBased on this scoring, the top 5 would be:\n1. PAGE_CFD.UK (91)\n2. CBG_CFD.UK (74)\n3. IWG_CFD.UK (72)\n4. FUTR_CFD.UK (69)\n5. CRST_CFD.UK (68) or MCG_CFD.UK (67)\n\nLet me reconsider. For mean reversion, I want:\n- Oversold stocks that might bounce (large negative move, far below MA)\n- Overbought stocks that might pull back (large positive move, far above MA)\n\nI should probably pick a mix. Let me select:\n\n1. **PAGE_CFD.UK** - Best oversold candidate\n2. **CBG_CFD.UK** - Strong oversold candidate\n3. **CRST_CFD.UK** - Best overbought candidate\n4. **IWG_CFD.UK** - Good oversold candidate\n5. **FUTR_CFD.UK** - Good oversold candidate\n\nWait, that's 4 oversold and 1 overbought. Let me check if I should include another overbought for balance.\n\nAlternative selection:\n1. PAGE_CFD.UK (oversold)\n2. CBG_CFD.UK (oversold)\n3. CRST_CFD.UK (overbought)\n4. BOY_CFD.UK (overbought)\n5. IWG_CFD.UK (oversold)\n\nThis gives 3 oversold, 2 overbought. Better balance.\n\nLet me refine the scores to be more precise:\n\n**PAGE_CFD.UK**:\n- Move: -36.8% → 37/40 (extreme move)\n- Dist from MA50: -31.7% → 28/30 (very far)\n- Vol: 193% → 28/30 (high)\n- **Score: 93**\n\n**CBG_CFD.UK**:\n- Move: -26.6% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 169% → 27/30\n- **Score: 76**\n\n**CRST_CFD.UK**:\n- Move: +24.9% → 25/40\n- Dist: +17.8% → 18/30\n- Vol: 158% → 26/30\n- **Score: 69**\n\n**BOY_CFD.UK**:\n- Move: +24.2% → 24/40\n- Dist: +18.6% → 19/30\n- Vol: 103% → 21/30\n- **Score: 64**\n\n**IWG_CFD.UK**:\n- Move: -26.8% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 154% → 25/30\n- **Score: 74**\n\n**FUTR_CFD.UK**:\n- Move: -21.2% → 21/40\n- Dist: -23.8% → 24/30\n- Vol: 154% → 25/30\n- **Score: 70**\n\nSo the top 5 are:\n1. PAGE_CFD.UK (93)\n2. CBG_CFD.UK (76)\n3. IWG_CFD.UK (74)\n4. FUTR_CFD.UK (70)\n5. CRST_CFD.UK (69)\n\nThis is 4 oversold, 1 overbought. Given that mean reversion works both ways, this is acceptable. The overbought stock (CRST) has a very strong upward move that could revert.\n\nLet me check for any red flags:\n- No earnings data available (all null) - cannot filter on this\n- No news sentiment - cannot filter on event-driven moves\n- No sector data - cannot enforce sector concentration\n- All are CFDs, which are typically liquid enough\n\nThe selection seems valid. I should provide concise, indicator-based reasons.\n\n**Final Selection:**\n1. PAGE_CFD.UK - Oversold extreme\n2. CBG_CFD.UK - Oversold with high vol\n3. IWG_CFD.UK - Oversold with high vol\n4. FUTR_CFD.UK - Oversold extreme distance from MA\n5. CRST_CFD.UK - Overbought extreme\n\nWait, I should also consider MCG_CFD.UK. It has -21.6% move, -17.2",
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    "created": 1774901325,
    "provider": "Moonshot AI",
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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": 82.14676889375684, "avg_price": 36.52, "last_price": 37.0, "unrealized_pnl": 39.430449069003025, "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": 0.0, "avg_price": 414.2, "last_price": 419.8, "unrealized_pnl": 0.0, "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": 5.208333333333333, "avg_price": 576.0, "last_price": 576.0, "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": "MSLH_CFD.UK", "qty": 21.30681818181818, "avg_price": 140.8, "last_price": 140.8, "unrealized_pnl": 0.0, "opened_at": "2026-03-26T17:55:26.602359+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": 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": 1089.0, "unrealized_pnl": -119.04761904761905, "opened_at": "2026-03-12T18:01:52.554929+00:00"}, {"symbol": "SYNT_CFD.UK", "qty": 85.9598853868195, "avg_price": 34.9, "last_price": 45.0, "unrealized_pnl": 868.194842406877, "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": 5.9405940594059405, "avg_price": 505.0, "last_price": 461.2, "unrealized_pnl": -260.19801980198025, "opened_at": "2026-03-26T17:55:26.602359+00:00"}, {"symbol": "VTY_CFD.UK", "qty": 8.85608856088561, "avg_price": 338.75, "last_price": 336.5, "unrealized_pnl": -19.926199261992622, "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": "Small positive move (+1.3%), within normal trading range",
        "symbol": "AML_CFD.UK"
      },
      {
        "reason": "No price change, awaiting mean reversion signal",
        "symbol": "AUTO_CFD.UK"
      },
      {
        "reason": "No price change, awaiting mean reversion signal",
        "symbol": "CBG_CFD.UK"
      },
      {
        "reason": "No price change, awaiting mean reversion signal",
        "symbol": "LRE_CFD.UK"
      },
      {
        "reason": "No price change, awaiting mean reversion signal",
        "symbol": "MSLH_CFD.UK"
      },
      {
        "reason": "No price change, awaiting mean reversion signal",
        "symbol": "OCDO_CFD.UK"
      },
      {
        "reason": "Down -4.0%, within tolerance threshold, monitoring for further deterioration",
        "symbol": "PSN_CFD.UK"
      },
      {
        "reason": "Minimal change (-0.7%), well within normal volatility",
        "symbol": "VTY_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Mean reversion signal: +28.9% from entry price, significant profit taking opportunity",
        "symbol": "SYNT_CFD.UK"
      },
      {
        "reason": "Risk management: -8.7% from entry, stop loss to preserve capital",
        "symbol": "UTG_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "Portfolio at max capacity (10/10 positions). Executing mean reversion strategy: taking profits on SYNT (+28.9%) and cutting losses on UTG (-8.7%). No new buy candidates provided, remaining positions held within normal volatility thresholds."
}

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          "reasoning": "The user wants me to perform a \"stage1_universe_scan\" for the \"meanrev-v1\" strategy. This is a two-stage LLM mean-reversion strategy.\n\nLet me break down the requirements:\n\n**Strategy Rules:**\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\n- universe_symbols_eu: []\n- universe_symbols_us: []\n\n**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\n**Output Schema:**\n- selected_stocks: array of objects with symbol, mean_reversion_score (0-100), selection_reason (short, concrete, indicator-based)\n- rejected_common_reasons: array of strings\n\n**Data Analysis:**\nI have a universe of stocks, mostly UK CFDs, with some DE, FR, and one US (VIAV_CFD.US). The data includes:\n- symbol, name, sector (all empty), last_price, change_1d_pct, distance_from_ma200_pct, distance_from_ma50_pct, volatility_20d_pct, and various null fields.\n\nFor mean reversion, I should look for:\n1. Large moves in either direction (overbought/oversold)\n2. Distance from moving averages (extreme values suggest potential reversion)\n3. High volatility (creates opportunities for reversion)\n4. Liquidity (but no volume data provided, so I'll have to assume based on price levels and typical CFD liquidity)\n\nSince sectors are all empty, I cannot enforce sector concentration constraints meaningfully. I should note this in rejected reasons if needed.\n\nLet me identify potential candidates:\n\n**Large positive moves (potentially overbought):**\n- CRST_CFD.UK: +24.85%, near MA50 (+17.8%), high vol (158%)\n- BOY_CFD.UK: +24.16%, far above MA200 (+28.7%), high vol (103%)\n- RSW_CFD.UK: +18.16%, far above MA200 (+36.8%), high vol (92.6%)\n- MAB_CFD.UK: +14.38%, above MA200 (+11.6%), high vol (118.9%)\n- HMSO_CFD.UK: +14.13%, above MA200 (+22.5%), vol (87.5%)\n- LMP_CFD.UK: +11.57%, above MA200 (+12.5%), vol (54.9%)\n- SPX_CFD.UK: +10.91%, above MA200 (+15.9%), vol (84.7%)\n- DLN_CFD.UK: +10.40%, above MA200 (+5.1%), vol (115.4%)\n- JDW_CFD.UK: +9.75%, above MA200 (+6.2%), vol (98.2%)\n- INVP_CFD.UK: +8.53%, above MA200 (+17.3%), vol (77%)\n- LIO_CFD.UK: +7.78%, below MA200 (-17.1%), vol (138.5%)\n- CMCX_CFD.UK: +6.49%, above MA200 (+33.7%), very high vol (207%)\n- BBY_CFD.UK: +5.22%, above MA200 (+33.3%), vol (54.3%)\n- ESNT_CFD.UK: +4.23%, above MA200 (+7.4%), vol (99%)\n- EMG_CFD.UK: +2.35%, far above MA200 (+42.2%), vol (86.9%)\n- MSLH_CFD.UK: +2.05%, below MA200 (-18.4%), vol (102.9%)\n\n**Large negative moves (potentially oversold):**\n- PAGE_CFD.UK: -36.80%, far below MA200 (-40.6%), very high vol (193%)\n- IWG_CFD.UK: -26.79%, below MA200 (-17.6%), high vol (154%)\n- CBG_CFD.UK: -26.63%, below MA200 (-13.4%), very high vol (169%)\n- FUTR_CFD.UK: -21.24%, below MA200 (-37.8%), high vol (154%)\n- MCG_CFD.UK: -21.65%, below MA200 (-29.3%), extreme vol (260.5%)\n- OCDO_CFD.UK: -21.15%, below MA200 (-15.8%), extreme vol (241.3%)\n- HIK_CFD.UK: -19.56%, below MA200 (-28.9%), high vol (155.6%)\n- PSN_CFD.UK: -18.18%, below MA200 (-10.4%), high vol (125.4%)\n- KGF_CFD.UK: -16.59%, slightly above MA200 (+1.8%), high vol (106.8%)\n- VIAV_CFD.US: -16.92%, far above MA200 (+81.8%), high vol (154.8%)\n- BYIT_CFD.UK: -12.67%, below MA200 (-28.0%), vol (87.8%)\n- PZC_CFD.UK: -13.86%, slightly above MA200 (+3.0%), vol (92.7%)\n- UTG_CFD.UK: -8.27%, below MA200 (-32.1%), vol (98.9%)\n- ROR_CFD.UK: -7.82%, below MA200 (-3.4%), vol (114.5%)\n- ABDN_CFD.UK: -7.74%, above MA200 (+6.5%), vol (82.6%)\n- LRE_CFD.UK: -7.42%, near MA200 (+0.4%), vol (86.3%)\n- TBCG_CFD.UK: -3.17%, below MA200 (-6.5%), vol (110.6%)\n- PAG_CFD.UK: -3.40%, near MA200 (-1.3%), vol (71.5%)\n- GRG_CFD.UK: -2.75%, below MA200 (-11.4%), extreme vol (3782.8%)\n- HWDN_CFD.UK: -2.69%, above MA200 (+2.9%), low vol (44.2%)\n- SHC_CFD.UK: -2.90%, near MA200 (+0.3%), vol (63.8%)\n- IPO_CFD.UK: -1.87%, above MA200 (+10.2%), vol (89.8%)\n- RHK_CFD.DE: -0.79%, near MA200 (+1.0%), vol (112%)\n- UKW_CFD.UK: -0.05%, below MA200 (-11.4%), vol (64.2%)\n- SAFE_CFD.UK: +0.14%, above MA200 (+7.1%), vol (108%)\n- ATG_CFD.UK: +0.32%, near MA50 (+0.8%), extreme vol (2871.9%)\n- SRP_CFD.UK: -0.40%, above MA200 (+34.1%), vol (77.9%)\n- DOM_CFD.UK: -0.31%, below MA200 (-15.1%), vol (87.9%)\n\nFor mean reversion, I want stocks that have moved significantly in either direction and are at extremes from their moving averages. High volatility is also good for this strategy.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from MA50 (absolute value) - this is more relevant for short-term reversion\n3. Volatility level (higher is better for mean reversion opportunities)\n4. Avoid extreme outliers that might be event-driven (but I have no news data)\n\nI need to select exactly 5 candidates. Let me identify the best ones:\n\n**Top candidates for mean reversion:**\n\n1. **PAGE_CFD.UK**: -36.8% move, -31.7% from MA50, very high vol (193%). This is a strong candidate for bounce.\n2. **IWG_CFD.UK**: -26.8% move, -22.1% from MA50, high vol (154%). Good candidate.\n3. **CBG_CFD.UK**: -26.6% move, -22.1% from MA50, very high vol (169%). Good candidate.\n4. **MCG_CFD.UK**: -21.6% move, -17.2% from MA50, extreme vol (260.5%). Very high volatility might be risky but good for mean reversion.\n5. **OCDO_CFD.UK**: -21.1% move, -5.5% from MA50, extreme vol (241.3%). Good candidate.\n6. **FUTR_CFD.UK**: -21.2% move, -23.8% from MA50, high vol (154%). Good candidate.\n7. **HIK_CFD.UK**: -19.6% move, -15.7% from MA50, high vol (155.6%). Good candidate.\n8. **PSN_CFD.UK**: -18.2% move, -17.6% from MA50, high vol (125.4%). Good candidate.\n9. **VIAV_CFD.US**: -16.9% move, +11.6% from MA50, high vol (154.8%). Interesting - big drop but still above MA50.\n10. **KGF_CFD.UK**: -16.6% move, -8.1% from MA50, high vol (106.8%). Good candidate.\n11. **CRST_CFD.UK**: +24.9% move, +17.8% from MA50, high vol (158%). Overbought candidate.\n12. **BOY_CFD.UK**: +24.2% move, +18.6% from MA50, high vol (103%). Overbought candidate.\n\nI need to select exactly 5. I should probably mix oversold and overbought candidates for diversification, but since sectors are unknown, I can just pick the best technical setups.\n\nLet me create a scoring system:\n- 1-day move magnitude: 40 points max (higher absolute move = higher score)\n- Distance from MA50: 30 points max (higher absolute distance = higher score)\n- Volatility: 30 points max (higher vol = higher score, but with diminishing returns above 200%)\n\nLet me calculate scores for top candidates:\n\n**PAGE_CFD.UK**:\n- Move: 36.8% = 35/40 points\n- Dist from MA50: 31.7% = 28/30 points\n- Vol: 193% = 28/30 points\n- Total: ~91/100\n\n**IWG_CFD.UK**:\n- Move: 26.8% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 154% = 25/30\n- Total: ~72/100\n\n**CBG_CFD.UK**:\n- Move: 26.6% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 169% = 27/30\n- Total: ~74/100\n\n**MCG_CFD.UK**:\n- Move: 21.6% = 20/40\n- Dist: 17.2% = 17/30\n- Vol: 260.5% = 30/30 (capped)\n- Total: ~67/100\n\n**OCDO_CFD.UK**:\n- Move: 21.1% = 20/40\n- Dist: 5.5% = 8/30\n- Vol: 241.3% = 30/30\n- Total: ~58/100\n\n**FUTR_CFD.UK**:\n- Move: 21.2% = 20/40\n- Dist: 23.8% = 24/30\n- Vol: 154% = 25/30\n- Total: ~69/100\n\n**HIK_CFD.UK**:\n- Move: 19.6% = 18/40\n- Dist: 15.7% = 15/30\n- Vol: 155.6% = 26/30\n- Total: ~59/100\n\n**PSN_CFD.UK**:\n- Move: 18.2% = 17/40\n- Dist: 17.6% = 17/30\n- Vol: 125.4% = 22/30\n- Total: ~56/100\n\n**VIAV_CFD.US**:\n- Move: 16.9% = 16/40\n- Dist: 11.6% = 12/30\n- Vol: 154.8% = 25/30\n- Total: ~53/100\n\n**CRST_CFD.UK**:\n- Move: 24.9% = 24/40\n- Dist: 17.8% = 18/30\n- Vol: 158% = 26/30\n- Total: ~68/100\n\n**BOY_CFD.UK**:\n- Move: 24.2% = 23/40\n- Dist: 18.6% = 19/30\n- Vol: 103% = 20/30\n- Total: ~62/100\n\nBased on this scoring, the top 5 would be:\n1. PAGE_CFD.UK (91)\n2. CBG_CFD.UK (74)\n3. IWG_CFD.UK (72)\n4. FUTR_CFD.UK (69)\n5. CRST_CFD.UK (68) or MCG_CFD.UK (67)\n\nLet me reconsider. For mean reversion, I want:\n- Oversold stocks that might bounce (large negative move, far below MA)\n- Overbought stocks that might pull back (large positive move, far above MA)\n\nI should probably pick a mix. Let me select:\n\n1. **PAGE_CFD.UK** - Best oversold candidate\n2. **CBG_CFD.UK** - Strong oversold candidate\n3. **CRST_CFD.UK** - Best overbought candidate\n4. **IWG_CFD.UK** - Good oversold candidate\n5. **FUTR_CFD.UK** - Good oversold candidate\n\nWait, that's 4 oversold and 1 overbought. Let me check if I should include another overbought for balance.\n\nAlternative selection:\n1. PAGE_CFD.UK (oversold)\n2. CBG_CFD.UK (oversold)\n3. CRST_CFD.UK (overbought)\n4. BOY_CFD.UK (overbought)\n5. IWG_CFD.UK (oversold)\n\nThis gives 3 oversold, 2 overbought. Better balance.\n\nLet me refine the scores to be more precise:\n\n**PAGE_CFD.UK**:\n- Move: -36.8% → 37/40 (extreme move)\n- Dist from MA50: -31.7% → 28/30 (very far)\n- Vol: 193% → 28/30 (high)\n- **Score: 93**\n\n**CBG_CFD.UK**:\n- Move: -26.6% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 169% → 27/30\n- **Score: 76**\n\n**CRST_CFD.UK**:\n- Move: +24.9% → 25/40\n- Dist: +17.8% → 18/30\n- Vol: 158% → 26/30\n- **Score: 69**\n\n**BOY_CFD.UK**:\n- Move: +24.2% → 24/40\n- Dist: +18.6% → 19/30\n- Vol: 103% → 21/30\n- **Score: 64**\n\n**IWG_CFD.UK**:\n- Move: -26.8% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 154% → 25/30\n- **Score: 74**\n\n**FUTR_CFD.UK**:\n- Move: -21.2% → 21/40\n- Dist: -23.8% → 24/30\n- Vol: 154% → 25/30\n- **Score: 70**\n\nSo the top 5 are:\n1. PAGE_CFD.UK (93)\n2. CBG_CFD.UK (76)\n3. IWG_CFD.UK (74)\n4. FUTR_CFD.UK (70)\n5. CRST_CFD.UK (69)\n\nThis is 4 oversold, 1 overbought. Given that mean reversion works both ways, this is acceptable. The overbought stock (CRST) has a very strong upward move that could revert.\n\nLet me check for any red flags:\n- No earnings data available (all null) - cannot filter on this\n- No news sentiment - cannot filter on event-driven moves\n- No sector data - cannot enforce sector concentration\n- All are CFDs, which are typically liquid enough\n\nThe selection seems valid. I should provide concise, indicator-based reasons.\n\n**Final Selection:**\n1. PAGE_CFD.UK - Oversold extreme\n2. CBG_CFD.UK - Oversold with high vol\n3. IWG_CFD.UK - Oversold with high vol\n4. FUTR_CFD.UK - Oversold extreme distance from MA\n5. CRST_CFD.UK - Overbought extreme\n\nWait, I should also consider MCG_CFD.UK. It has -21.6% move, -17.2",
          "reasoning_details": [
            {
              "text": "The user wants me to perform a \"stage1_universe_scan\" for the \"meanrev-v1\" strategy. This is a two-stage LLM mean-reversion strategy.\n\nLet me break down the requirements:\n\n**Strategy Rules:**\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\n- universe_symbols_eu: []\n- universe_symbols_us: []\n\n**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\n**Output Schema:**\n- selected_stocks: array of objects with symbol, mean_reversion_score (0-100), selection_reason (short, concrete, indicator-based)\n- rejected_common_reasons: array of strings\n\n**Data Analysis:**\nI have a universe of stocks, mostly UK CFDs, with some DE, FR, and one US (VIAV_CFD.US). The data includes:\n- symbol, name, sector (all empty), last_price, change_1d_pct, distance_from_ma200_pct, distance_from_ma50_pct, volatility_20d_pct, and various null fields.\n\nFor mean reversion, I should look for:\n1. Large moves in either direction (overbought/oversold)\n2. Distance from moving averages (extreme values suggest potential reversion)\n3. High volatility (creates opportunities for reversion)\n4. Liquidity (but no volume data provided, so I'll have to assume based on price levels and typical CFD liquidity)\n\nSince sectors are all empty, I cannot enforce sector concentration constraints meaningfully. I should note this in rejected reasons if needed.\n\nLet me identify potential candidates:\n\n**Large positive moves (potentially overbought):**\n- CRST_CFD.UK: +24.85%, near MA50 (+17.8%), high vol (158%)\n- BOY_CFD.UK: +24.16%, far above MA200 (+28.7%), high vol (103%)\n- RSW_CFD.UK: +18.16%, far above MA200 (+36.8%), high vol (92.6%)\n- MAB_CFD.UK: +14.38%, above MA200 (+11.6%), high vol (118.9%)\n- HMSO_CFD.UK: +14.13%, above MA200 (+22.5%), vol (87.5%)\n- LMP_CFD.UK: +11.57%, above MA200 (+12.5%), vol (54.9%)\n- SPX_CFD.UK: +10.91%, above MA200 (+15.9%), vol (84.7%)\n- DLN_CFD.UK: +10.40%, above MA200 (+5.1%), vol (115.4%)\n- JDW_CFD.UK: +9.75%, above MA200 (+6.2%), vol (98.2%)\n- INVP_CFD.UK: +8.53%, above MA200 (+17.3%), vol (77%)\n- LIO_CFD.UK: +7.78%, below MA200 (-17.1%), vol (138.5%)\n- CMCX_CFD.UK: +6.49%, above MA200 (+33.7%), very high vol (207%)\n- BBY_CFD.UK: +5.22%, above MA200 (+33.3%), vol (54.3%)\n- ESNT_CFD.UK: +4.23%, above MA200 (+7.4%), vol (99%)\n- EMG_CFD.UK: +2.35%, far above MA200 (+42.2%), vol (86.9%)\n- MSLH_CFD.UK: +2.05%, below MA200 (-18.4%), vol (102.9%)\n\n**Large negative moves (potentially oversold):**\n- PAGE_CFD.UK: -36.80%, far below MA200 (-40.6%), very high vol (193%)\n- IWG_CFD.UK: -26.79%, below MA200 (-17.6%), high vol (154%)\n- CBG_CFD.UK: -26.63%, below MA200 (-13.4%), very high vol (169%)\n- FUTR_CFD.UK: -21.24%, below MA200 (-37.8%), high vol (154%)\n- MCG_CFD.UK: -21.65%, below MA200 (-29.3%), extreme vol (260.5%)\n- OCDO_CFD.UK: -21.15%, below MA200 (-15.8%), extreme vol (241.3%)\n- HIK_CFD.UK: -19.56%, below MA200 (-28.9%), high vol (155.6%)\n- PSN_CFD.UK: -18.18%, below MA200 (-10.4%), high vol (125.4%)\n- KGF_CFD.UK: -16.59%, slightly above MA200 (+1.8%), high vol (106.8%)\n- VIAV_CFD.US: -16.92%, far above MA200 (+81.8%), high vol (154.8%)\n- BYIT_CFD.UK: -12.67%, below MA200 (-28.0%), vol (87.8%)\n- PZC_CFD.UK: -13.86%, slightly above MA200 (+3.0%), vol (92.7%)\n- UTG_CFD.UK: -8.27%, below MA200 (-32.1%), vol (98.9%)\n- ROR_CFD.UK: -7.82%, below MA200 (-3.4%), vol (114.5%)\n- ABDN_CFD.UK: -7.74%, above MA200 (+6.5%), vol (82.6%)\n- LRE_CFD.UK: -7.42%, near MA200 (+0.4%), vol (86.3%)\n- TBCG_CFD.UK: -3.17%, below MA200 (-6.5%), vol (110.6%)\n- PAG_CFD.UK: -3.40%, near MA200 (-1.3%), vol (71.5%)\n- GRG_CFD.UK: -2.75%, below MA200 (-11.4%), extreme vol (3782.8%)\n- HWDN_CFD.UK: -2.69%, above MA200 (+2.9%), low vol (44.2%)\n- SHC_CFD.UK: -2.90%, near MA200 (+0.3%), vol (63.8%)\n- IPO_CFD.UK: -1.87%, above MA200 (+10.2%), vol (89.8%)\n- RHK_CFD.DE: -0.79%, near MA200 (+1.0%), vol (112%)\n- UKW_CFD.UK: -0.05%, below MA200 (-11.4%), vol (64.2%)\n- SAFE_CFD.UK: +0.14%, above MA200 (+7.1%), vol (108%)\n- ATG_CFD.UK: +0.32%, near MA50 (+0.8%), extreme vol (2871.9%)\n- SRP_CFD.UK: -0.40%, above MA200 (+34.1%), vol (77.9%)\n- DOM_CFD.UK: -0.31%, below MA200 (-15.1%), vol (87.9%)\n\nFor mean reversion, I want stocks that have moved significantly in either direction and are at extremes from their moving averages. High volatility is also good for this strategy.\n\nLet me score them based on:\n1. Magnitude of 1-day move (absolute value)\n2. Distance from MA50 (absolute value) - this is more relevant for short-term reversion\n3. Volatility level (higher is better for mean reversion opportunities)\n4. Avoid extreme outliers that might be event-driven (but I have no news data)\n\nI need to select exactly 5 candidates. Let me identify the best ones:\n\n**Top candidates for mean reversion:**\n\n1. **PAGE_CFD.UK**: -36.8% move, -31.7% from MA50, very high vol (193%). This is a strong candidate for bounce.\n2. **IWG_CFD.UK**: -26.8% move, -22.1% from MA50, high vol (154%). Good candidate.\n3. **CBG_CFD.UK**: -26.6% move, -22.1% from MA50, very high vol (169%). Good candidate.\n4. **MCG_CFD.UK**: -21.6% move, -17.2% from MA50, extreme vol (260.5%). Very high volatility might be risky but good for mean reversion.\n5. **OCDO_CFD.UK**: -21.1% move, -5.5% from MA50, extreme vol (241.3%). Good candidate.\n6. **FUTR_CFD.UK**: -21.2% move, -23.8% from MA50, high vol (154%). Good candidate.\n7. **HIK_CFD.UK**: -19.6% move, -15.7% from MA50, high vol (155.6%). Good candidate.\n8. **PSN_CFD.UK**: -18.2% move, -17.6% from MA50, high vol (125.4%). Good candidate.\n9. **VIAV_CFD.US**: -16.9% move, +11.6% from MA50, high vol (154.8%). Interesting - big drop but still above MA50.\n10. **KGF_CFD.UK**: -16.6% move, -8.1% from MA50, high vol (106.8%). Good candidate.\n11. **CRST_CFD.UK**: +24.9% move, +17.8% from MA50, high vol (158%). Overbought candidate.\n12. **BOY_CFD.UK**: +24.2% move, +18.6% from MA50, high vol (103%). Overbought candidate.\n\nI need to select exactly 5. I should probably mix oversold and overbought candidates for diversification, but since sectors are unknown, I can just pick the best technical setups.\n\nLet me create a scoring system:\n- 1-day move magnitude: 40 points max (higher absolute move = higher score)\n- Distance from MA50: 30 points max (higher absolute distance = higher score)\n- Volatility: 30 points max (higher vol = higher score, but with diminishing returns above 200%)\n\nLet me calculate scores for top candidates:\n\n**PAGE_CFD.UK**:\n- Move: 36.8% = 35/40 points\n- Dist from MA50: 31.7% = 28/30 points\n- Vol: 193% = 28/30 points\n- Total: ~91/100\n\n**IWG_CFD.UK**:\n- Move: 26.8% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 154% = 25/30\n- Total: ~72/100\n\n**CBG_CFD.UK**:\n- Move: 26.6% = 25/40\n- Dist: 22.1% = 22/30\n- Vol: 169% = 27/30\n- Total: ~74/100\n\n**MCG_CFD.UK**:\n- Move: 21.6% = 20/40\n- Dist: 17.2% = 17/30\n- Vol: 260.5% = 30/30 (capped)\n- Total: ~67/100\n\n**OCDO_CFD.UK**:\n- Move: 21.1% = 20/40\n- Dist: 5.5% = 8/30\n- Vol: 241.3% = 30/30\n- Total: ~58/100\n\n**FUTR_CFD.UK**:\n- Move: 21.2% = 20/40\n- Dist: 23.8% = 24/30\n- Vol: 154% = 25/30\n- Total: ~69/100\n\n**HIK_CFD.UK**:\n- Move: 19.6% = 18/40\n- Dist: 15.7% = 15/30\n- Vol: 155.6% = 26/30\n- Total: ~59/100\n\n**PSN_CFD.UK**:\n- Move: 18.2% = 17/40\n- Dist: 17.6% = 17/30\n- Vol: 125.4% = 22/30\n- Total: ~56/100\n\n**VIAV_CFD.US**:\n- Move: 16.9% = 16/40\n- Dist: 11.6% = 12/30\n- Vol: 154.8% = 25/30\n- Total: ~53/100\n\n**CRST_CFD.UK**:\n- Move: 24.9% = 24/40\n- Dist: 17.8% = 18/30\n- Vol: 158% = 26/30\n- Total: ~68/100\n\n**BOY_CFD.UK**:\n- Move: 24.2% = 23/40\n- Dist: 18.6% = 19/30\n- Vol: 103% = 20/30\n- Total: ~62/100\n\nBased on this scoring, the top 5 would be:\n1. PAGE_CFD.UK (91)\n2. CBG_CFD.UK (74)\n3. IWG_CFD.UK (72)\n4. FUTR_CFD.UK (69)\n5. CRST_CFD.UK (68) or MCG_CFD.UK (67)\n\nLet me reconsider. For mean reversion, I want:\n- Oversold stocks that might bounce (large negative move, far below MA)\n- Overbought stocks that might pull back (large positive move, far above MA)\n\nI should probably pick a mix. Let me select:\n\n1. **PAGE_CFD.UK** - Best oversold candidate\n2. **CBG_CFD.UK** - Strong oversold candidate\n3. **CRST_CFD.UK** - Best overbought candidate\n4. **IWG_CFD.UK** - Good oversold candidate\n5. **FUTR_CFD.UK** - Good oversold candidate\n\nWait, that's 4 oversold and 1 overbought. Let me check if I should include another overbought for balance.\n\nAlternative selection:\n1. PAGE_CFD.UK (oversold)\n2. CBG_CFD.UK (oversold)\n3. CRST_CFD.UK (overbought)\n4. BOY_CFD.UK (overbought)\n5. IWG_CFD.UK (oversold)\n\nThis gives 3 oversold, 2 overbought. Better balance.\n\nLet me refine the scores to be more precise:\n\n**PAGE_CFD.UK**:\n- Move: -36.8% → 37/40 (extreme move)\n- Dist from MA50: -31.7% → 28/30 (very far)\n- Vol: 193% → 28/30 (high)\n- **Score: 93**\n\n**CBG_CFD.UK**:\n- Move: -26.6% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 169% → 27/30\n- **Score: 76**\n\n**CRST_CFD.UK**:\n- Move: +24.9% → 25/40\n- Dist: +17.8% → 18/30\n- Vol: 158% → 26/30\n- **Score: 69**\n\n**BOY_CFD.UK**:\n- Move: +24.2% → 24/40\n- Dist: +18.6% → 19/30\n- Vol: 103% → 21/30\n- **Score: 64**\n\n**IWG_CFD.UK**:\n- Move: -26.8% → 27/40\n- Dist: -22.1% → 22/30\n- Vol: 154% → 25/30\n- **Score: 74**\n\n**FUTR_CFD.UK**:\n- Move: -21.2% → 21/40\n- Dist: -23.8% → 24/30\n- Vol: 154% → 25/30\n- **Score: 70**\n\nSo the top 5 are:\n1. PAGE_CFD.UK (93)\n2. CBG_CFD.UK (76)\n3. IWG_CFD.UK (74)\n4. FUTR_CFD.UK (70)\n5. CRST_CFD.UK (69)\n\nThis is 4 oversold, 1 overbought. Given that mean reversion works both ways, this is acceptable. The overbought stock (CRST) has a very strong upward move that could revert.\n\nLet me check for any red flags:\n- No earnings data available (all null) - cannot filter on this\n- No news sentiment - cannot filter on event-driven moves\n- No sector data - cannot enforce sector concentration\n- All are CFDs, which are typically liquid enough\n\nThe selection seems valid. I should provide concise, indicator-based reasons.\n\n**Final Selection:**\n1. PAGE_CFD.UK - Oversold extreme\n2. CBG_CFD.UK - Oversold with high vol\n3. IWG_CFD.UK - Oversold with high vol\n4. FUTR_CFD.UK - Oversold extreme distance from MA\n5. CRST_CFD.UK - Overbought extreme\n\nWait, I should also consider MCG_CFD.UK. It has -21.6% move, -17.2",
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        "finish_reason": "length",
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    "created": 1774901325,
    "provider": "Moonshot AI",
    "system_fingerprint": "fpv0_acbd71c9"
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}