Arena run #690

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": "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": "SAFE_CFD.UK", "name": "SAFESTORE HOLDINGS PLC", "sector": "", "last_price": 802.5, "change_1d_pct": 13.187588152327212, "distance_from_ma200_pct": 21.40724384452035, "distance_from_ma50_pct": 10.29872606002229, "volatility_20d_pct": 81.07249455345375, "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": "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": "RHIM_CFD.UK", "name": "RHI MAGNESITA NV", "sector": "", "last_price": 2795.0, "change_1d_pct": 2.3809523809523725, "distance_from_ma200_pct": 6.811460460804897, "distance_from_ma50_pct": 10.895008018562113, "volatility_20d_pct": 141.33746334612064, "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": "RSW_CFD.UK", "name": "RENISHAW PLC", "sector": "", "last_price": 4100.0, "change_1d_pct": 18.155619596541793, "distance_from_ma200_pct": 36.779911314574385, "distance_from_ma50_pct": 14.333028240759926, "volatility_20d_pct": 92.61568245477878, "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": "MCG_CFD.UK", "name": "MOBICO GROUP PLC", "sector": "", "last_price": 25.72, "change_1d_pct": 2.9623698959167166, "distance_from_ma200_pct": -7.132760074308242, "distance_from_ma50_pct": 8.327577202351844, "volatility_20d_pct": 232.19808875565576, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "CCL_CFD.UK", "name": "CARNIVAL PLC", "sector": "", "last_price": 1989.0, "change_1d_pct": -3.9594398841139578, "distance_from_ma200_pct": 4.932242734391812, "distance_from_ma50_pct": -4.47172238108916, "volatility_20d_pct": 163.30913338012496, "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": "SGRO_CFD.UK", "name": "SEGRO PLC", "sector": "", "last_price": 789.8, "change_1d_pct": 5.166444740346199, "distance_from_ma200_pct": 16.137238395282736, "distance_from_ma50_pct": 8.124180991500651, "volatility_20d_pct": 71.28658783635437, "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": "OCDO_CFD.UK", "name": "OCADO GROUP PLC", "sector": "", "last_price": 217.0, "change_1d_pct": -21.148255813953487, "distance_from_ma200_pct": -15.81606625159202, "distance_from_ma50_pct": -5.48311196636071, "volatility_20d_pct": 241.3119670937803, "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": -7.07579130771464, "distance_from_ma50_pct": 0.6289308176100628, "volatility_20d_pct": 281.9328754959748, "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": "DOCS_CFD.UK", "name": "DR. MARTENS PLC", "sector": "", "last_price": 65.6, "change_1d_pct": -1.501501501501501, "distance_from_ma200_pct": -13.08259339811949, "distance_from_ma50_pct": -12.14348468939509, "volatility_20d_pct": 121.2025974369199, "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": 403.2, "change_1d_pct": -44.21693414499169, "distance_from_ma200_pct": -35.825419675413826, "distance_from_ma50_pct": -36.113069725802745, "volatility_20d_pct": 213.0917779123437, "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": "SMIN_CFD.UK", "name": "SMITHS GROUP PLC", "sector": "", "last_price": 2544.0, "change_1d_pct": 1.4333845019038671, "distance_from_ma200_pct": 14.948150770494873, "distance_from_ma50_pct": 4.167383226889343, "volatility_20d_pct": 72.718462979927, "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": 5.222453222453205, "distance_from_ma200_pct": 33.313724414201815, "distance_from_ma50_pct": 8.832962232591, "volatility_20d_pct": 54.25956465831767, "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": "MAB_CFD.UK", "name": "MITCHELLS & BUTLERS PLC", "sector": "", "last_price": 292.81, "change_1d_pct": 14.37890625, "distance_from_ma200_pct": 11.595067041457764, "distance_from_ma50_pct": 10.935906392690597, "volatility_20d_pct": 118.87119977937589, "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, "distance_from_ma50_pct": -2.027486732888828, "volatility_20d_pct": 89.82123635439407, "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": 305.0, "change_1d_pct": 4.2735042735042805, "distance_from_ma200_pct": -30.344980756373573, "distance_from_ma50_pct": -1.1704016694101371, "volatility_20d_pct": 159.9931345477538, "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": "BME_CFD.UK", "name": "B&M EUROPEAN VALUE RETAIL SA", "sector": "", "last_price": 180.0, "change_1d_pct": -0.5799502899751507, "distance_from_ma200_pct": -17.510144533683704, "distance_from_ma50_pct": 3.6906975618860693, "volatility_20d_pct": 107.67302074828436, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "WKP_CFD.UK", "name": "WORKSPACE GROUP PLC", "sector": "", "last_price": 423.0, "change_1d_pct": 3.6764705882353033, "distance_from_ma200_pct": 1.8640028868691871, "distance_from_ma50_pct": 5.808194506978848, "volatility_20d_pct": 70.2233148398582, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "HLMA_CFD.UK", "name": "HALMA PLC", "sector": "", "last_price": 3904.0, "change_1d_pct": 7.548209366391179, "distance_from_ma200_pct": 16.52280895184093, "distance_from_ma50_pct": 5.778818225170168, "volatility_20d_pct": 86.60562444492528, "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": 423.6, "change_1d_pct": -20.82242990654205, "distance_from_ma200_pct": -37.68377383888033, "distance_from_ma50_pct": -24.301477407850992, "volatility_20d_pct": 153.59085037557008, "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": "DPLM_CFD.UK", "name": "DIPLOMA PLC", "sector": "", "last_price": 5220.0, "change_1d_pct": -5.434782608695654, "distance_from_ma200_pct": 4.8180942215069855, "distance_from_ma50_pct": -4.664614313757087, "volatility_20d_pct": 82.77890721911896, "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": "DLTR_CFD.US", "name": "Dollar Tree Inc", "sector": "", "last_price": 115.79, "change_1d_pct": -0.10352859977568185, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -8.524831570032731, "volatility_20d_pct": 3589.913318697127, "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": "ASY_CFD.FR", "name": "Assystem SA", "sector": "", "last_price": 44.6, "change_1d_pct": 0.5636978579481422, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -1.1656251385010918, "volatility_20d_pct": 4780.971545500114, "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": "CW_CFD.US", "name": "Curtiss-Wright Corporation", "sector": "", "last_price": 684.22, "change_1d_pct": 1.96107650582662, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 13.161251227173265, "volatility_20d_pct": 4308.002175856081, "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": "AAL_CFD.UK", "name": "ANGLO AMERICAN PLC", "sector": "", "last_price": 3586.0, "change_1d_pct": 0.055803571428580945, "distance_from_ma200_pct": null, "distance_from_ma50_pct": 11.748904636364198, "volatility_20d_pct": 4209.946938281094, "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": "CO_CFD.FR", "name": "Casino Guichard Perrachon", "sector": "", "last_price": 0.2196, "change_1d_pct": -3.0891438658429027, "distance_from_ma200_pct": null, "distance_from_ma50_pct": -7.3057895892076345, "volatility_20d_pct": 3846.671951006259, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}], "output_schema": {"selected_stocks": [{"symbol": "string", "mean_reversion_score": "integer 0-100", "selection_reason": "short, concrete, indicator-based"}], "rejected_common_reasons": ["string"]}}

{
  "raw": {
    "id": "gen-1773776176-owVPzWR3wjzMVIxJm6Au",
    "model": "moonshotai/kimi-k2-thinking-20251106",
    "usage": {
      "cost": 0.0136828,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.0136828,
        "upstream_inference_prompt_cost": 0.0036828,
        "upstream_inference_completions_cost": 0.01
      },
      "total_tokens": 10138,
      "prompt_tokens": 6138,
      "completion_tokens": 4000,
      "prompt_tokens_details": {
        "audio_tokens": 0,
        "video_tokens": 0,
        "cached_tokens": 0,
        "cache_write_tokens": 0
      },
      "completion_tokens_details": {
        "audio_tokens": 0,
        "image_tokens": 0,
        "reasoning_tokens": 2749
      }
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\"selected_stocks\":[{\"symbol\":\"RSW_CFD.UK\",\"mean_reversion_score\":95,\"selection_reason\":\"+18.2% spike, 36.8% above MA200, 14.3% above MA50. Extreme extension signals pullback.\"},{\"symbol\":\"FUTR_CFD.UK\",\"mean_reversion_score\":95,\"selection_reason\":\"-20.8% collapse, 37.7% below MA200, 24.3% below MA50. Oversold bounce setup.\"},{\"symbol\":\"MAB_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"+14.4% surge, 11.6% above MA200, 10.9% above MA50. Strong momentum reversal candidate.\"},{\"symbol\":\"IWG_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"-16.6% drop, 10.9% below MA50, high volatility 135.8%. Sharp decline bounce opportunity.\"},{\"symbol\":\"SAFE_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"+13.2% jump, 21.4% above MA200, 10.3% above MA50. Extended rally fade setup.\"",
          "refusal": null,
          "reasoning": "  The user is asking me to perform a stage1_universe_scan for the \"meanrev-v1\" strategy. I need to:\n\n1. Analyze the provided universe of stocks (mostly UK CFDs, with a few US/DE/FR)\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Avoid earnings within 5 trading days (but none have earnings data)\n4. Avoid highly binary/event-driven moves (but no news headlines provided)\n5. Avoid sector concentration (max 1 per sector, but sectors are mostly empty)\n6. Calculate a mean_reversion_score (0-100) for each selected stock\n7. Provide short, concrete, indicator-based selection reasons\n8. Output ONLY valid JSON\n\nKey indicators for mean reversion:\n- Large 1-day move (change_1d_pct) - both positive and negative can be opportunities\n- Distance from moving averages (distance_from_ma50_pct, distance_from_ma200_pct)\n- Volatility (volatility_20d_pct) - moderate to high is good for mean reversion\n- Price level relative to moving averages\n\nSince sectors are mostly empty, I cannot enforce the sector concentration rule strictly, but I should try to diversify if possible.\n\nLet me analyze each stock:\n\n1. **WTB_CFD.UK**: +11.66% today, -5.97% from MA200, -5.07% from MA50. Strong upward move but still below MAs. Volatility 87.6%. Good candidate for pullback.\n2. **ESNT_CFD.UK**: +4.23% today, +7.4% from MA200, +9.77% from MA50. Above MAs, not ideal for mean reversion down.\n3. **SAFE_CFD.UK**: +13.19% today, +21.4% from MA200, +10.3% from MA50. Strong upward move, extended above MAs. Good candidate for pullback.\n4. **JDW_CFD.UK**: +9.75% today, +6.24% from MA200, +5.29% from MA50. Above MAs, but strong move could revert.\n5. **UTG_CFD.UK**: +3.46% today, -23.93% from MA200, -3.69% from MA50. Below MAs, but small move today. Not exciting.\n6. **IWG_CFD.UK**: -16.57% today, -4.41% from MA200, -10.86% from MA50. Large down move, below MAs. Good candidate for bounce.\n7. **KGF_CFD.UK**: +2.6% today, +18.58% from MA200, +6.64% from MA50. Above MAs, small move.\n8. **RHIM_CFD.UK**: +2.38% today, +6.81% from MA200, +10.9% from MA50. Above MAs, small move.\n9. **RSW_CFD.UK**: +18.16% today, +36.78% from MA200, +14.33% from MA50. Huge up move, very extended. Excellent pullback candidate.\n10. **DLN_CFD.UK**: +10.4% today, +5.07% from MA200, +12.15% from MA50. Strong up move, extended. Good pullback candidate.\n11. **MCG_CFD.UK**: +2.96% today, -7.13% from MA200, +8.33% from MA50. Mixed signals.\n12. **CCL_CFD.UK**: -3.96% today, +4.93% from MA200, -4.47% from MA50. Moderate down move, near MAs.\n13. **SGRO_CFD.UK**: +5.17% today, +16.14% from MA200, +8.12% from MA50. Above MAs.\n14. **ABDN_CFD.UK**: -0.65% today, +13.22% from MA200, +3.66% from MA50. Small move.\n15. **OCDO_CFD.UK**: -21.15% today, -15.82% from MA200, -5.48% from MA50. Huge down move, below MAs. Excellent bounce candidate.\n16. **ADJ_CFD.DE**: +3.78% today, -7.08% from MA200, +0.63% from MA50. Small move.\n17. **DOCS_CFD.UK**: -1.5% today, -13.08% from MA200, -12.14% from MA50. Below MAs, small move.\n18. **VTY_CFD.UK**: -44.22% today, -35.83% from MA200, -36.11% from MA50. Massive down move, very oversold. Excellent bounce candidate but high risk.\n19. **SMIN_CFD.UK**: +1.43% today, +14.95% from MA200, +4.17% from MA50. Small move.\n20. **BBY_CFD.UK**: +5.22% today, +33.31% from MA200, +8.83% from MA50. Above MAs.\n21. **MAB_CFD.UK**: +14.38% today, +11.6% from MA200, +10.94% from MA50. Strong up move, extended. Good pullback candidate.\n22. **IMI_CFD.UK**: +4.76% today, +25.23% from MA200, +6.66% from MA50. Above MAs.\n23. **DOM_CFD.UK**: +4.19% today, -12.47% from MA200, +4.43% from MA50. Mixed.\n24. **IPO_CFD.UK**: -1.87% today, +10.23% from MA200, -2.03% from MA50. Small move.\n25. **ATG_CFD.UK**: +4.27% today, -30.34% from MA200, -1.17% from MA50. Below MAs, moderate move.\n26. **BME_CFD.UK**: -0.58% today, -17.51% from MA200, +3.69% from MA50. Mixed.\n27. **WKP_CFD.UK**: +3.68% today, +1.86% from MA200, +5.81% from MA50. Small move.\n28. **HLMA_CFD.UK**: +7.55% today, +16.52% from MA200, +5.78% from MA50. Above MAs.\n29. **FUTR_CFD.UK**: -20.82% today, -37.68% from MA200, -24.3% from MA50. Huge down move, very oversold. Excellent bounce candidate.\n30. **DPLM_CFD.UK**: -5.43% today, +4.82% from MA200, -4.66% from MA50. Moderate down move.\n31. **DLTR_CFD.US**: -0.1% today, null MA200, -8.52% from MA50. US stock, but volatility is extremely high (3590%) - likely data error.\n32. **ASY_CFD.FR**: +0.56% today, null MA200, -1.17% from MA50. French stock, volatility extremely high (4781%) - data error.\n33. **CW_CFD.US**: +1.96% today, null MA200, +13.16% from MA50. US stock, volatility extremely high (4308%) - data error.\n34. **AAL_CFD.UK**: +0.06% today, null MA200, +11.75% from MA50. Volatility extremely high (4210%) - data error.\n35. **CO_CFD.FR**: -3.09% today, null MA200, -7.31% from MA50. French stock, volatility extremely high (3847%) - data error.\n\nI should exclude stocks with clearly erroneous volatility data (those with >1000% volatility). That removes DLTR, ASY, CW, AAL, CO.\n\nNow let me identify the best mean reversion candidates:\n\n**Strong Up Moves (potential short/pullback):**\n- RSW_CFD.UK: +18.16%, very extended above MAs\n- SAFE_CFD.UK: +13.19%, extended\n- MAB_CFD.UK: +14.38%, extended\n- WTB_CFD.UK: +11.66%, below MAs but big move\n- DLN_CFD.UK: +10.4%, extended\n\n**Strong Down Moves (potential long/bounce):**\n- VTY_CFD.UK: -44.22%, extremely oversold\n- OCDO_CFD.UK: -21.15%, oversold\n- FUTR_CFD.UK: -20.82%, oversold\n- IWG_CFD.UK: -16.57%, oversold\n\nFor mean reversion strategy, I want to select a mix of both long and short opportunities. But since the strategy is \"mean reversion\" without specifying direction, I should pick the best setups 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 (moderate to high is good, but not extreme)\n4. Overall setup quality\n\n**Top candidates:**\n\n1. **RSW_CFD.UK**: Score 90 - Extreme 18% up move, 36% above MA200, 14% above MA50. Perfect pullback setup.\n2. **VTY_CFD.UK**: Score 88 - Massive -44% drop, 36% below MA200, very oversold. High risk but excellent bounce potential.\n3. **OCDO_CFD.UK**: Score 85 - Large -21% drop, 15% below MA200, high volatility. Good bounce setup.\n4. **FUTR_CFD.UK**: Score 83 - Large -20% drop, 37% below MA200, very oversold. Good bounce setup.\n5. **IWG_CFD.UK**: Score 80 - Large -16.5% drop, 4% below MA200, 10% below MA50. Good bounce setup.\n6. **SAFE_CFD.UK**: Score 78 - Strong +13% up move, 21% above MA200. Pullback candidate.\n7. **MAB_CFD.UK**: Score 75 - Strong +14% up move, 11% above MA200. Pullback candidate.\n8. **WTB_CFD.UK**: Score 72 - Good +11.6% up move, but still below MAs. Mixed signal.\n\nI need exactly 5 candidates. I should pick the best setups while trying to balance long/short opportunities and avoid sector concentration (though sectors are unknown).\n\nLet me select:\n1. **RSW_CFD.UK** - Short candidate (extreme up move)\n2. **VTY_CFD.UK** - Long candidate (extreme down move)\n3. **OCDO_CFD.UK** - Long candidate (large down move)\n4. **FUTR_CFD.UK** - Long candidate (large down move)\n5. **MAB_CFD.UK** - Short candidate (strong up move)\n\nWait, I have 4 long candidates and 1 short. Let me reconsider for better balance.\n\nBetter selection:\n1. **RSW_CFD.UK** - Short (extreme up)\n2. **VTY_CFD.UK** - Long (extreme down)\n3. **OCDO_CFD.UK** - Long (large down)\n4. **MAB_CFD.UK** - Short (strong up)\n5. **IWG_CFD.UK** - Long (large down)\n\nThis gives 3 longs and 2 shorts, better balanced.\n\nNow I need to write concise, indicator-based reasons for each.\n\nLet me also check the rejected stocks and provide common reasons.\n\nRejected stocks common reasons:\n- Insufficient 1-day move magnitude for mean reversion setup\n- Too close to moving averages (no clear extension)\n- Mixed signals (e.g., above MA200 but below MA50)\n- Small price movements relative to volatility\n- Erroneous data (extreme volatility readings)\n\nLet me finalize my selection:\n\n**Selected:**\n1. RSW_CFD.UK - Score 90\n2. VTY_CFD.UK - Score 88\n3. OCDO_CFD.UK - Score 85\n4. MAB_CFD.UK - Score 75\n5. IWG_CFD.UK - Score 80\n\nActually, let me reconsider the scores to be more precise. I'll use a more systematic approach:\n\n**Scoring system:**\n- 1-day move magnitude (0-30 points): |change| > 15% = 30, >10% = 25, >5% = 20, >3% = 15\n- Distance from MA50 (0-25 points): |distance| > 15% = 25, >10% = 20, >5% = 15, >3% = 10\n- Distance from MA200 (0-25 points): Same scale\n- Volatility suitability (0-20 points): 70-150% = 20, 50-70% or 150-200% = 15, <50% = 10, >200% = 5\n\nLet me recalculate:\n\n1. **RSW_CFD.UK**: +18.16% (30), +14.33% from MA50 (20), +36.78% from MA200 (25), volatility 92.6% (20) = 95\n2. **VTY_CFD.UK**: -44.22% (30), -36.11% from MA50 (25), -35.83% from MA200 (25), volatility 213% (5) = 85\n3. **OCDO_CFD.UK**: -21.15% (30), -5.48% from MA50 (15), -15.82% from MA200 (20), volatility 241% (5) = 70\n4. **FUTR_CFD.UK**: -20.82% (30), -24.3% from MA50 (25), -37.68% from MA200 (25), volatility 153.6% (15) = 95\n5. **IWG_CFD.UK**: -16.57% (30), -10.86% from MA50 (20), -4.41% from MA200 (15), volatility 135.8% (20) = 85\n6. **MAB_CFD.UK**: +14.38% (25), +10.94% from MA50 (20), +11.6% from MA200 (20), volatility 118.9% (20) = 85\n7. **SAFE_CFD.UK**: +13.19% (25), +10.3% from MA50 (20), +21.4% from MA200 (20), volatility 81% (20) = 85\n8. **WTB_CFD.UK**: +11.66% (25), -5.07% from MA50 (15), -5.97% from MA200 (15), volatility 87.6% (20) = 75\n\nBetter selection with scores:\n1. RSW_CFD.UK - 95 (short)\n2. FUTR_CFD.UK - 95 (long)\n3. IWG_CFD.UK - 85 (long)\n4. MAB_CFD.UK - 85 (short)\n5. SAFE_CFD.UK - 85 (short) or OCDO_CFD.UK - 70 (long)\n\nI need to balance long/short. Let me pick:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. IWG_CFD.UK - Long (85)\n4. MAB_CFD.UK - Short (85)\n5. OCDO_CFD.UK - Long (70) - but maybe better to have another short?\n\nAlternative for balance:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. MAB_CFD.UK - Short (85)\n4. IWG_CFD.UK - Long (85)\n5. SAFE_CFD.UK - Short (85)\n\nThis gives 3 shorts, 2 longs. Good balance.\n\nFinal selection:\n1. RSW_CFD.UK - Score 95\n2. FUTR_CFD.UK - Score 95\n3. MAB_CFD.UK - Score 85\n4. IWG_CFD.UK - Score 85\n5. SAFE_CFD.UK - Score 85\n\nWait, I should double-check the data. The volatility values for UK stocks seem very high (70-200%+). This is unusual but possible for CFDs. I'll assume the data is correct.\n\nLet me write the final JSON output.",
          "reasoning_details": [
            {
              "text": "  The user is asking me to perform a stage1_universe_scan for the \"meanrev-v1\" strategy. I need to:\n\n1. Analyze the provided universe of stocks (mostly UK CFDs, with a few US/DE/FR)\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Avoid earnings within 5 trading days (but none have earnings data)\n4. Avoid highly binary/event-driven moves (but no news headlines provided)\n5. Avoid sector concentration (max 1 per sector, but sectors are mostly empty)\n6. Calculate a mean_reversion_score (0-100) for each selected stock\n7. Provide short, concrete, indicator-based selection reasons\n8. Output ONLY valid JSON\n\nKey indicators for mean reversion:\n- Large 1-day move (change_1d_pct) - both positive and negative can be opportunities\n- Distance from moving averages (distance_from_ma50_pct, distance_from_ma200_pct)\n- Volatility (volatility_20d_pct) - moderate to high is good for mean reversion\n- Price level relative to moving averages\n\nSince sectors are mostly empty, I cannot enforce the sector concentration rule strictly, but I should try to diversify if possible.\n\nLet me analyze each stock:\n\n1. **WTB_CFD.UK**: +11.66% today, -5.97% from MA200, -5.07% from MA50. Strong upward move but still below MAs. Volatility 87.6%. Good candidate for pullback.\n2. **ESNT_CFD.UK**: +4.23% today, +7.4% from MA200, +9.77% from MA50. Above MAs, not ideal for mean reversion down.\n3. **SAFE_CFD.UK**: +13.19% today, +21.4% from MA200, +10.3% from MA50. Strong upward move, extended above MAs. Good candidate for pullback.\n4. **JDW_CFD.UK**: +9.75% today, +6.24% from MA200, +5.29% from MA50. Above MAs, but strong move could revert.\n5. **UTG_CFD.UK**: +3.46% today, -23.93% from MA200, -3.69% from MA50. Below MAs, but small move today. Not exciting.\n6. **IWG_CFD.UK**: -16.57% today, -4.41% from MA200, -10.86% from MA50. Large down move, below MAs. Good candidate for bounce.\n7. **KGF_CFD.UK**: +2.6% today, +18.58% from MA200, +6.64% from MA50. Above MAs, small move.\n8. **RHIM_CFD.UK**: +2.38% today, +6.81% from MA200, +10.9% from MA50. Above MAs, small move.\n9. **RSW_CFD.UK**: +18.16% today, +36.78% from MA200, +14.33% from MA50. Huge up move, very extended. Excellent pullback candidate.\n10. **DLN_CFD.UK**: +10.4% today, +5.07% from MA200, +12.15% from MA50. Strong up move, extended. Good pullback candidate.\n11. **MCG_CFD.UK**: +2.96% today, -7.13% from MA200, +8.33% from MA50. Mixed signals.\n12. **CCL_CFD.UK**: -3.96% today, +4.93% from MA200, -4.47% from MA50. Moderate down move, near MAs.\n13. **SGRO_CFD.UK**: +5.17% today, +16.14% from MA200, +8.12% from MA50. Above MAs.\n14. **ABDN_CFD.UK**: -0.65% today, +13.22% from MA200, +3.66% from MA50. Small move.\n15. **OCDO_CFD.UK**: -21.15% today, -15.82% from MA200, -5.48% from MA50. Huge down move, below MAs. Excellent bounce candidate.\n16. **ADJ_CFD.DE**: +3.78% today, -7.08% from MA200, +0.63% from MA50. Small move.\n17. **DOCS_CFD.UK**: -1.5% today, -13.08% from MA200, -12.14% from MA50. Below MAs, small move.\n18. **VTY_CFD.UK**: -44.22% today, -35.83% from MA200, -36.11% from MA50. Massive down move, very oversold. Excellent bounce candidate but high risk.\n19. **SMIN_CFD.UK**: +1.43% today, +14.95% from MA200, +4.17% from MA50. Small move.\n20. **BBY_CFD.UK**: +5.22% today, +33.31% from MA200, +8.83% from MA50. Above MAs.\n21. **MAB_CFD.UK**: +14.38% today, +11.6% from MA200, +10.94% from MA50. Strong up move, extended. Good pullback candidate.\n22. **IMI_CFD.UK**: +4.76% today, +25.23% from MA200, +6.66% from MA50. Above MAs.\n23. **DOM_CFD.UK**: +4.19% today, -12.47% from MA200, +4.43% from MA50. Mixed.\n24. **IPO_CFD.UK**: -1.87% today, +10.23% from MA200, -2.03% from MA50. Small move.\n25. **ATG_CFD.UK**: +4.27% today, -30.34% from MA200, -1.17% from MA50. Below MAs, moderate move.\n26. **BME_CFD.UK**: -0.58% today, -17.51% from MA200, +3.69% from MA50. Mixed.\n27. **WKP_CFD.UK**: +3.68% today, +1.86% from MA200, +5.81% from MA50. Small move.\n28. **HLMA_CFD.UK**: +7.55% today, +16.52% from MA200, +5.78% from MA50. Above MAs.\n29. **FUTR_CFD.UK**: -20.82% today, -37.68% from MA200, -24.3% from MA50. Huge down move, very oversold. Excellent bounce candidate.\n30. **DPLM_CFD.UK**: -5.43% today, +4.82% from MA200, -4.66% from MA50. Moderate down move.\n31. **DLTR_CFD.US**: -0.1% today, null MA200, -8.52% from MA50. US stock, but volatility is extremely high (3590%) - likely data error.\n32. **ASY_CFD.FR**: +0.56% today, null MA200, -1.17% from MA50. French stock, volatility extremely high (4781%) - data error.\n33. **CW_CFD.US**: +1.96% today, null MA200, +13.16% from MA50. US stock, volatility extremely high (4308%) - data error.\n34. **AAL_CFD.UK**: +0.06% today, null MA200, +11.75% from MA50. Volatility extremely high (4210%) - data error.\n35. **CO_CFD.FR**: -3.09% today, null MA200, -7.31% from MA50. French stock, volatility extremely high (3847%) - data error.\n\nI should exclude stocks with clearly erroneous volatility data (those with >1000% volatility). That removes DLTR, ASY, CW, AAL, CO.\n\nNow let me identify the best mean reversion candidates:\n\n**Strong Up Moves (potential short/pullback):**\n- RSW_CFD.UK: +18.16%, very extended above MAs\n- SAFE_CFD.UK: +13.19%, extended\n- MAB_CFD.UK: +14.38%, extended\n- WTB_CFD.UK: +11.66%, below MAs but big move\n- DLN_CFD.UK: +10.4%, extended\n\n**Strong Down Moves (potential long/bounce):**\n- VTY_CFD.UK: -44.22%, extremely oversold\n- OCDO_CFD.UK: -21.15%, oversold\n- FUTR_CFD.UK: -20.82%, oversold\n- IWG_CFD.UK: -16.57%, oversold\n\nFor mean reversion strategy, I want to select a mix of both long and short opportunities. But since the strategy is \"mean reversion\" without specifying direction, I should pick the best setups 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 (moderate to high is good, but not extreme)\n4. Overall setup quality\n\n**Top candidates:**\n\n1. **RSW_CFD.UK**: Score 90 - Extreme 18% up move, 36% above MA200, 14% above MA50. Perfect pullback setup.\n2. **VTY_CFD.UK**: Score 88 - Massive -44% drop, 36% below MA200, very oversold. High risk but excellent bounce potential.\n3. **OCDO_CFD.UK**: Score 85 - Large -21% drop, 15% below MA200, high volatility. Good bounce setup.\n4. **FUTR_CFD.UK**: Score 83 - Large -20% drop, 37% below MA200, very oversold. Good bounce setup.\n5. **IWG_CFD.UK**: Score 80 - Large -16.5% drop, 4% below MA200, 10% below MA50. Good bounce setup.\n6. **SAFE_CFD.UK**: Score 78 - Strong +13% up move, 21% above MA200. Pullback candidate.\n7. **MAB_CFD.UK**: Score 75 - Strong +14% up move, 11% above MA200. Pullback candidate.\n8. **WTB_CFD.UK**: Score 72 - Good +11.6% up move, but still below MAs. Mixed signal.\n\nI need exactly 5 candidates. I should pick the best setups while trying to balance long/short opportunities and avoid sector concentration (though sectors are unknown).\n\nLet me select:\n1. **RSW_CFD.UK** - Short candidate (extreme up move)\n2. **VTY_CFD.UK** - Long candidate (extreme down move)\n3. **OCDO_CFD.UK** - Long candidate (large down move)\n4. **FUTR_CFD.UK** - Long candidate (large down move)\n5. **MAB_CFD.UK** - Short candidate (strong up move)\n\nWait, I have 4 long candidates and 1 short. Let me reconsider for better balance.\n\nBetter selection:\n1. **RSW_CFD.UK** - Short (extreme up)\n2. **VTY_CFD.UK** - Long (extreme down)\n3. **OCDO_CFD.UK** - Long (large down)\n4. **MAB_CFD.UK** - Short (strong up)\n5. **IWG_CFD.UK** - Long (large down)\n\nThis gives 3 longs and 2 shorts, better balanced.\n\nNow I need to write concise, indicator-based reasons for each.\n\nLet me also check the rejected stocks and provide common reasons.\n\nRejected stocks common reasons:\n- Insufficient 1-day move magnitude for mean reversion setup\n- Too close to moving averages (no clear extension)\n- Mixed signals (e.g., above MA200 but below MA50)\n- Small price movements relative to volatility\n- Erroneous data (extreme volatility readings)\n\nLet me finalize my selection:\n\n**Selected:**\n1. RSW_CFD.UK - Score 90\n2. VTY_CFD.UK - Score 88\n3. OCDO_CFD.UK - Score 85\n4. MAB_CFD.UK - Score 75\n5. IWG_CFD.UK - Score 80\n\nActually, let me reconsider the scores to be more precise. I'll use a more systematic approach:\n\n**Scoring system:**\n- 1-day move magnitude (0-30 points): |change| > 15% = 30, >10% = 25, >5% = 20, >3% = 15\n- Distance from MA50 (0-25 points): |distance| > 15% = 25, >10% = 20, >5% = 15, >3% = 10\n- Distance from MA200 (0-25 points): Same scale\n- Volatility suitability (0-20 points): 70-150% = 20, 50-70% or 150-200% = 15, <50% = 10, >200% = 5\n\nLet me recalculate:\n\n1. **RSW_CFD.UK**: +18.16% (30), +14.33% from MA50 (20), +36.78% from MA200 (25), volatility 92.6% (20) = 95\n2. **VTY_CFD.UK**: -44.22% (30), -36.11% from MA50 (25), -35.83% from MA200 (25), volatility 213% (5) = 85\n3. **OCDO_CFD.UK**: -21.15% (30), -5.48% from MA50 (15), -15.82% from MA200 (20), volatility 241% (5) = 70\n4. **FUTR_CFD.UK**: -20.82% (30), -24.3% from MA50 (25), -37.68% from MA200 (25), volatility 153.6% (15) = 95\n5. **IWG_CFD.UK**: -16.57% (30), -10.86% from MA50 (20), -4.41% from MA200 (15), volatility 135.8% (20) = 85\n6. **MAB_CFD.UK**: +14.38% (25), +10.94% from MA50 (20), +11.6% from MA200 (20), volatility 118.9% (20) = 85\n7. **SAFE_CFD.UK**: +13.19% (25), +10.3% from MA50 (20), +21.4% from MA200 (20), volatility 81% (20) = 85\n8. **WTB_CFD.UK**: +11.66% (25), -5.07% from MA50 (15), -5.97% from MA200 (15), volatility 87.6% (20) = 75\n\nBetter selection with scores:\n1. RSW_CFD.UK - 95 (short)\n2. FUTR_CFD.UK - 95 (long)\n3. IWG_CFD.UK - 85 (long)\n4. MAB_CFD.UK - 85 (short)\n5. SAFE_CFD.UK - 85 (short) or OCDO_CFD.UK - 70 (long)\n\nI need to balance long/short. Let me pick:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. IWG_CFD.UK - Long (85)\n4. MAB_CFD.UK - Short (85)\n5. OCDO_CFD.UK - Long (70) - but maybe better to have another short?\n\nAlternative for balance:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. MAB_CFD.UK - Short (85)\n4. IWG_CFD.UK - Long (85)\n5. SAFE_CFD.UK - Short (85)\n\nThis gives 3 shorts, 2 longs. Good balance.\n\nFinal selection:\n1. RSW_CFD.UK - Score 95\n2. FUTR_CFD.UK - Score 95\n3. MAB_CFD.UK - Score 85\n4. IWG_CFD.UK - Score 85\n5. SAFE_CFD.UK - Score 85\n\nWait, I should double-check the data. The volatility values for UK stocks seem very high (70-200%+). This is unusual but possible for CFDs. I'll assume the data is correct.\n\nLet me write the final JSON output.",
              "type": "reasoning.text",
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        "logprobs": null,
        "finish_reason": "length",
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    "created": 1773776176,
    "provider": "Google",
    "system_fingerprint": null
  }
}

You are an Arena portfolio manager. You must follow the strategy rules strictly and output ONLY valid JSON. You are NOT allowed to invent prices/fundamentals/news/earnings. If a field is null/empty, treat it as unknown. Avoid overtrading: if changes are marginal, prefer HOLD. Do not churn.

{"task": "stage2_portfolio_management", "region": "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": 1197.5, "unrealized_pnl": -43.20987654320987, "opened_at": "2026-03-12T18:01:52.554929+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": "VTY_CFD.UK", "qty": 7.024116132053383, "avg_price": 427.1, "last_price": 385.0, "unrealized_pnl": -295.7152891594476, "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": [
      {
        "reason": "Previously held position now down 12.6% from prior average, strongest mean reversion signal",
        "symbol": "PAGE_CFD.UK",
        "position_size": 3000
      },
      {
        "reason": "Previously held position now down 3.5% from prior average, moderate mean reversion opportunity",
        "symbol": "LSS_CFD.FR",
        "position_size": 3000
      }
    ],
    "hold": [
      {
        "reason": "Position down 4.5% from entry, in mean reversion territory - hold for bounce",
        "symbol": "AML_CFD.UK"
      },
      {
        "reason": "Price flat at entry level, no mean reversion signal",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Price flat at entry level, no mean reversion signal",
        "symbol": "FUTR_CFD.UK"
      },
      {
        "reason": "Minimal drawdown (-0.4%), maintain mean reversion hold",
        "symbol": "ICG_CFD.UK"
      },
      {
        "reason": "Price flat at entry level, no mean reversion signal",
        "symbol": "OCDO_CFD.UK"
      },
      {
        "reason": "Moderate drawdown (-1.4%), hold for mean reversion",
        "symbol": "PSN_CFD.UK"
      },
      {
        "reason": "Significant oversold condition (-9.9%), strong mean reversion hold",
        "symbol": "VTY_CFD.UK"
      }
    ],
    "sell": []
  },
  "portfolio_rationale": "All seven current positions exhibit flat-to-down price action from entry, aligning with mean reversion hold thesis. No profit-taking sell signals present. Adding two previously closed positions (PAGE, LSS) that have dropped materially below prior holdings cost, creating clear mean reversion entry opportunities while staying within position limits and avoiding overtrading."
}

{
  "raw": {
    "id": "gen-1773776176-owVPzWR3wjzMVIxJm6Au",
    "model": "moonshotai/kimi-k2-thinking-20251106",
    "usage": {
      "cost": 0.0136828,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.0136828,
        "upstream_inference_prompt_cost": 0.0036828,
        "upstream_inference_completions_cost": 0.01
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      "total_tokens": 10138,
      "prompt_tokens": 6138,
      "completion_tokens": 4000,
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    "object": "chat.completion",
    "choices": [
      {
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        "message": {
          "role": "assistant",
          "content": "{\"selected_stocks\":[{\"symbol\":\"RSW_CFD.UK\",\"mean_reversion_score\":95,\"selection_reason\":\"+18.2% spike, 36.8% above MA200, 14.3% above MA50. Extreme extension signals pullback.\"},{\"symbol\":\"FUTR_CFD.UK\",\"mean_reversion_score\":95,\"selection_reason\":\"-20.8% collapse, 37.7% below MA200, 24.3% below MA50. Oversold bounce setup.\"},{\"symbol\":\"MAB_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"+14.4% surge, 11.6% above MA200, 10.9% above MA50. Strong momentum reversal candidate.\"},{\"symbol\":\"IWG_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"-16.6% drop, 10.9% below MA50, high volatility 135.8%. Sharp decline bounce opportunity.\"},{\"symbol\":\"SAFE_CFD.UK\",\"mean_reversion_score\":85,\"selection_reason\":\"+13.2% jump, 21.4% above MA200, 10.3% above MA50. Extended rally fade setup.\"",
          "refusal": null,
          "reasoning": "  The user is asking me to perform a stage1_universe_scan for the \"meanrev-v1\" strategy. I need to:\n\n1. Analyze the provided universe of stocks (mostly UK CFDs, with a few US/DE/FR)\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Avoid earnings within 5 trading days (but none have earnings data)\n4. Avoid highly binary/event-driven moves (but no news headlines provided)\n5. Avoid sector concentration (max 1 per sector, but sectors are mostly empty)\n6. Calculate a mean_reversion_score (0-100) for each selected stock\n7. Provide short, concrete, indicator-based selection reasons\n8. Output ONLY valid JSON\n\nKey indicators for mean reversion:\n- Large 1-day move (change_1d_pct) - both positive and negative can be opportunities\n- Distance from moving averages (distance_from_ma50_pct, distance_from_ma200_pct)\n- Volatility (volatility_20d_pct) - moderate to high is good for mean reversion\n- Price level relative to moving averages\n\nSince sectors are mostly empty, I cannot enforce the sector concentration rule strictly, but I should try to diversify if possible.\n\nLet me analyze each stock:\n\n1. **WTB_CFD.UK**: +11.66% today, -5.97% from MA200, -5.07% from MA50. Strong upward move but still below MAs. Volatility 87.6%. Good candidate for pullback.\n2. **ESNT_CFD.UK**: +4.23% today, +7.4% from MA200, +9.77% from MA50. Above MAs, not ideal for mean reversion down.\n3. **SAFE_CFD.UK**: +13.19% today, +21.4% from MA200, +10.3% from MA50. Strong upward move, extended above MAs. Good candidate for pullback.\n4. **JDW_CFD.UK**: +9.75% today, +6.24% from MA200, +5.29% from MA50. Above MAs, but strong move could revert.\n5. **UTG_CFD.UK**: +3.46% today, -23.93% from MA200, -3.69% from MA50. Below MAs, but small move today. Not exciting.\n6. **IWG_CFD.UK**: -16.57% today, -4.41% from MA200, -10.86% from MA50. Large down move, below MAs. Good candidate for bounce.\n7. **KGF_CFD.UK**: +2.6% today, +18.58% from MA200, +6.64% from MA50. Above MAs, small move.\n8. **RHIM_CFD.UK**: +2.38% today, +6.81% from MA200, +10.9% from MA50. Above MAs, small move.\n9. **RSW_CFD.UK**: +18.16% today, +36.78% from MA200, +14.33% from MA50. Huge up move, very extended. Excellent pullback candidate.\n10. **DLN_CFD.UK**: +10.4% today, +5.07% from MA200, +12.15% from MA50. Strong up move, extended. Good pullback candidate.\n11. **MCG_CFD.UK**: +2.96% today, -7.13% from MA200, +8.33% from MA50. Mixed signals.\n12. **CCL_CFD.UK**: -3.96% today, +4.93% from MA200, -4.47% from MA50. Moderate down move, near MAs.\n13. **SGRO_CFD.UK**: +5.17% today, +16.14% from MA200, +8.12% from MA50. Above MAs.\n14. **ABDN_CFD.UK**: -0.65% today, +13.22% from MA200, +3.66% from MA50. Small move.\n15. **OCDO_CFD.UK**: -21.15% today, -15.82% from MA200, -5.48% from MA50. Huge down move, below MAs. Excellent bounce candidate.\n16. **ADJ_CFD.DE**: +3.78% today, -7.08% from MA200, +0.63% from MA50. Small move.\n17. **DOCS_CFD.UK**: -1.5% today, -13.08% from MA200, -12.14% from MA50. Below MAs, small move.\n18. **VTY_CFD.UK**: -44.22% today, -35.83% from MA200, -36.11% from MA50. Massive down move, very oversold. Excellent bounce candidate but high risk.\n19. **SMIN_CFD.UK**: +1.43% today, +14.95% from MA200, +4.17% from MA50. Small move.\n20. **BBY_CFD.UK**: +5.22% today, +33.31% from MA200, +8.83% from MA50. Above MAs.\n21. **MAB_CFD.UK**: +14.38% today, +11.6% from MA200, +10.94% from MA50. Strong up move, extended. Good pullback candidate.\n22. **IMI_CFD.UK**: +4.76% today, +25.23% from MA200, +6.66% from MA50. Above MAs.\n23. **DOM_CFD.UK**: +4.19% today, -12.47% from MA200, +4.43% from MA50. Mixed.\n24. **IPO_CFD.UK**: -1.87% today, +10.23% from MA200, -2.03% from MA50. Small move.\n25. **ATG_CFD.UK**: +4.27% today, -30.34% from MA200, -1.17% from MA50. Below MAs, moderate move.\n26. **BME_CFD.UK**: -0.58% today, -17.51% from MA200, +3.69% from MA50. Mixed.\n27. **WKP_CFD.UK**: +3.68% today, +1.86% from MA200, +5.81% from MA50. Small move.\n28. **HLMA_CFD.UK**: +7.55% today, +16.52% from MA200, +5.78% from MA50. Above MAs.\n29. **FUTR_CFD.UK**: -20.82% today, -37.68% from MA200, -24.3% from MA50. Huge down move, very oversold. Excellent bounce candidate.\n30. **DPLM_CFD.UK**: -5.43% today, +4.82% from MA200, -4.66% from MA50. Moderate down move.\n31. **DLTR_CFD.US**: -0.1% today, null MA200, -8.52% from MA50. US stock, but volatility is extremely high (3590%) - likely data error.\n32. **ASY_CFD.FR**: +0.56% today, null MA200, -1.17% from MA50. French stock, volatility extremely high (4781%) - data error.\n33. **CW_CFD.US**: +1.96% today, null MA200, +13.16% from MA50. US stock, volatility extremely high (4308%) - data error.\n34. **AAL_CFD.UK**: +0.06% today, null MA200, +11.75% from MA50. Volatility extremely high (4210%) - data error.\n35. **CO_CFD.FR**: -3.09% today, null MA200, -7.31% from MA50. French stock, volatility extremely high (3847%) - data error.\n\nI should exclude stocks with clearly erroneous volatility data (those with >1000% volatility). That removes DLTR, ASY, CW, AAL, CO.\n\nNow let me identify the best mean reversion candidates:\n\n**Strong Up Moves (potential short/pullback):**\n- RSW_CFD.UK: +18.16%, very extended above MAs\n- SAFE_CFD.UK: +13.19%, extended\n- MAB_CFD.UK: +14.38%, extended\n- WTB_CFD.UK: +11.66%, below MAs but big move\n- DLN_CFD.UK: +10.4%, extended\n\n**Strong Down Moves (potential long/bounce):**\n- VTY_CFD.UK: -44.22%, extremely oversold\n- OCDO_CFD.UK: -21.15%, oversold\n- FUTR_CFD.UK: -20.82%, oversold\n- IWG_CFD.UK: -16.57%, oversold\n\nFor mean reversion strategy, I want to select a mix of both long and short opportunities. But since the strategy is \"mean reversion\" without specifying direction, I should pick the best setups 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 (moderate to high is good, but not extreme)\n4. Overall setup quality\n\n**Top candidates:**\n\n1. **RSW_CFD.UK**: Score 90 - Extreme 18% up move, 36% above MA200, 14% above MA50. Perfect pullback setup.\n2. **VTY_CFD.UK**: Score 88 - Massive -44% drop, 36% below MA200, very oversold. High risk but excellent bounce potential.\n3. **OCDO_CFD.UK**: Score 85 - Large -21% drop, 15% below MA200, high volatility. Good bounce setup.\n4. **FUTR_CFD.UK**: Score 83 - Large -20% drop, 37% below MA200, very oversold. Good bounce setup.\n5. **IWG_CFD.UK**: Score 80 - Large -16.5% drop, 4% below MA200, 10% below MA50. Good bounce setup.\n6. **SAFE_CFD.UK**: Score 78 - Strong +13% up move, 21% above MA200. Pullback candidate.\n7. **MAB_CFD.UK**: Score 75 - Strong +14% up move, 11% above MA200. Pullback candidate.\n8. **WTB_CFD.UK**: Score 72 - Good +11.6% up move, but still below MAs. Mixed signal.\n\nI need exactly 5 candidates. I should pick the best setups while trying to balance long/short opportunities and avoid sector concentration (though sectors are unknown).\n\nLet me select:\n1. **RSW_CFD.UK** - Short candidate (extreme up move)\n2. **VTY_CFD.UK** - Long candidate (extreme down move)\n3. **OCDO_CFD.UK** - Long candidate (large down move)\n4. **FUTR_CFD.UK** - Long candidate (large down move)\n5. **MAB_CFD.UK** - Short candidate (strong up move)\n\nWait, I have 4 long candidates and 1 short. Let me reconsider for better balance.\n\nBetter selection:\n1. **RSW_CFD.UK** - Short (extreme up)\n2. **VTY_CFD.UK** - Long (extreme down)\n3. **OCDO_CFD.UK** - Long (large down)\n4. **MAB_CFD.UK** - Short (strong up)\n5. **IWG_CFD.UK** - Long (large down)\n\nThis gives 3 longs and 2 shorts, better balanced.\n\nNow I need to write concise, indicator-based reasons for each.\n\nLet me also check the rejected stocks and provide common reasons.\n\nRejected stocks common reasons:\n- Insufficient 1-day move magnitude for mean reversion setup\n- Too close to moving averages (no clear extension)\n- Mixed signals (e.g., above MA200 but below MA50)\n- Small price movements relative to volatility\n- Erroneous data (extreme volatility readings)\n\nLet me finalize my selection:\n\n**Selected:**\n1. RSW_CFD.UK - Score 90\n2. VTY_CFD.UK - Score 88\n3. OCDO_CFD.UK - Score 85\n4. MAB_CFD.UK - Score 75\n5. IWG_CFD.UK - Score 80\n\nActually, let me reconsider the scores to be more precise. I'll use a more systematic approach:\n\n**Scoring system:**\n- 1-day move magnitude (0-30 points): |change| > 15% = 30, >10% = 25, >5% = 20, >3% = 15\n- Distance from MA50 (0-25 points): |distance| > 15% = 25, >10% = 20, >5% = 15, >3% = 10\n- Distance from MA200 (0-25 points): Same scale\n- Volatility suitability (0-20 points): 70-150% = 20, 50-70% or 150-200% = 15, <50% = 10, >200% = 5\n\nLet me recalculate:\n\n1. **RSW_CFD.UK**: +18.16% (30), +14.33% from MA50 (20), +36.78% from MA200 (25), volatility 92.6% (20) = 95\n2. **VTY_CFD.UK**: -44.22% (30), -36.11% from MA50 (25), -35.83% from MA200 (25), volatility 213% (5) = 85\n3. **OCDO_CFD.UK**: -21.15% (30), -5.48% from MA50 (15), -15.82% from MA200 (20), volatility 241% (5) = 70\n4. **FUTR_CFD.UK**: -20.82% (30), -24.3% from MA50 (25), -37.68% from MA200 (25), volatility 153.6% (15) = 95\n5. **IWG_CFD.UK**: -16.57% (30), -10.86% from MA50 (20), -4.41% from MA200 (15), volatility 135.8% (20) = 85\n6. **MAB_CFD.UK**: +14.38% (25), +10.94% from MA50 (20), +11.6% from MA200 (20), volatility 118.9% (20) = 85\n7. **SAFE_CFD.UK**: +13.19% (25), +10.3% from MA50 (20), +21.4% from MA200 (20), volatility 81% (20) = 85\n8. **WTB_CFD.UK**: +11.66% (25), -5.07% from MA50 (15), -5.97% from MA200 (15), volatility 87.6% (20) = 75\n\nBetter selection with scores:\n1. RSW_CFD.UK - 95 (short)\n2. FUTR_CFD.UK - 95 (long)\n3. IWG_CFD.UK - 85 (long)\n4. MAB_CFD.UK - 85 (short)\n5. SAFE_CFD.UK - 85 (short) or OCDO_CFD.UK - 70 (long)\n\nI need to balance long/short. Let me pick:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. IWG_CFD.UK - Long (85)\n4. MAB_CFD.UK - Short (85)\n5. OCDO_CFD.UK - Long (70) - but maybe better to have another short?\n\nAlternative for balance:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. MAB_CFD.UK - Short (85)\n4. IWG_CFD.UK - Long (85)\n5. SAFE_CFD.UK - Short (85)\n\nThis gives 3 shorts, 2 longs. Good balance.\n\nFinal selection:\n1. RSW_CFD.UK - Score 95\n2. FUTR_CFD.UK - Score 95\n3. MAB_CFD.UK - Score 85\n4. IWG_CFD.UK - Score 85\n5. SAFE_CFD.UK - Score 85\n\nWait, I should double-check the data. The volatility values for UK stocks seem very high (70-200%+). This is unusual but possible for CFDs. I'll assume the data is correct.\n\nLet me write the final JSON output.",
          "reasoning_details": [
            {
              "text": "  The user is asking me to perform a stage1_universe_scan for the \"meanrev-v1\" strategy. I need to:\n\n1. Analyze the provided universe of stocks (mostly UK CFDs, with a few US/DE/FR)\n2. Select exactly 5 candidates for short-term mean reversion (2-10 trading days)\n3. Avoid earnings within 5 trading days (but none have earnings data)\n4. Avoid highly binary/event-driven moves (but no news headlines provided)\n5. Avoid sector concentration (max 1 per sector, but sectors are mostly empty)\n6. Calculate a mean_reversion_score (0-100) for each selected stock\n7. Provide short, concrete, indicator-based selection reasons\n8. Output ONLY valid JSON\n\nKey indicators for mean reversion:\n- Large 1-day move (change_1d_pct) - both positive and negative can be opportunities\n- Distance from moving averages (distance_from_ma50_pct, distance_from_ma200_pct)\n- Volatility (volatility_20d_pct) - moderate to high is good for mean reversion\n- Price level relative to moving averages\n\nSince sectors are mostly empty, I cannot enforce the sector concentration rule strictly, but I should try to diversify if possible.\n\nLet me analyze each stock:\n\n1. **WTB_CFD.UK**: +11.66% today, -5.97% from MA200, -5.07% from MA50. Strong upward move but still below MAs. Volatility 87.6%. Good candidate for pullback.\n2. **ESNT_CFD.UK**: +4.23% today, +7.4% from MA200, +9.77% from MA50. Above MAs, not ideal for mean reversion down.\n3. **SAFE_CFD.UK**: +13.19% today, +21.4% from MA200, +10.3% from MA50. Strong upward move, extended above MAs. Good candidate for pullback.\n4. **JDW_CFD.UK**: +9.75% today, +6.24% from MA200, +5.29% from MA50. Above MAs, but strong move could revert.\n5. **UTG_CFD.UK**: +3.46% today, -23.93% from MA200, -3.69% from MA50. Below MAs, but small move today. Not exciting.\n6. **IWG_CFD.UK**: -16.57% today, -4.41% from MA200, -10.86% from MA50. Large down move, below MAs. Good candidate for bounce.\n7. **KGF_CFD.UK**: +2.6% today, +18.58% from MA200, +6.64% from MA50. Above MAs, small move.\n8. **RHIM_CFD.UK**: +2.38% today, +6.81% from MA200, +10.9% from MA50. Above MAs, small move.\n9. **RSW_CFD.UK**: +18.16% today, +36.78% from MA200, +14.33% from MA50. Huge up move, very extended. Excellent pullback candidate.\n10. **DLN_CFD.UK**: +10.4% today, +5.07% from MA200, +12.15% from MA50. Strong up move, extended. Good pullback candidate.\n11. **MCG_CFD.UK**: +2.96% today, -7.13% from MA200, +8.33% from MA50. Mixed signals.\n12. **CCL_CFD.UK**: -3.96% today, +4.93% from MA200, -4.47% from MA50. Moderate down move, near MAs.\n13. **SGRO_CFD.UK**: +5.17% today, +16.14% from MA200, +8.12% from MA50. Above MAs.\n14. **ABDN_CFD.UK**: -0.65% today, +13.22% from MA200, +3.66% from MA50. Small move.\n15. **OCDO_CFD.UK**: -21.15% today, -15.82% from MA200, -5.48% from MA50. Huge down move, below MAs. Excellent bounce candidate.\n16. **ADJ_CFD.DE**: +3.78% today, -7.08% from MA200, +0.63% from MA50. Small move.\n17. **DOCS_CFD.UK**: -1.5% today, -13.08% from MA200, -12.14% from MA50. Below MAs, small move.\n18. **VTY_CFD.UK**: -44.22% today, -35.83% from MA200, -36.11% from MA50. Massive down move, very oversold. Excellent bounce candidate but high risk.\n19. **SMIN_CFD.UK**: +1.43% today, +14.95% from MA200, +4.17% from MA50. Small move.\n20. **BBY_CFD.UK**: +5.22% today, +33.31% from MA200, +8.83% from MA50. Above MAs.\n21. **MAB_CFD.UK**: +14.38% today, +11.6% from MA200, +10.94% from MA50. Strong up move, extended. Good pullback candidate.\n22. **IMI_CFD.UK**: +4.76% today, +25.23% from MA200, +6.66% from MA50. Above MAs.\n23. **DOM_CFD.UK**: +4.19% today, -12.47% from MA200, +4.43% from MA50. Mixed.\n24. **IPO_CFD.UK**: -1.87% today, +10.23% from MA200, -2.03% from MA50. Small move.\n25. **ATG_CFD.UK**: +4.27% today, -30.34% from MA200, -1.17% from MA50. Below MAs, moderate move.\n26. **BME_CFD.UK**: -0.58% today, -17.51% from MA200, +3.69% from MA50. Mixed.\n27. **WKP_CFD.UK**: +3.68% today, +1.86% from MA200, +5.81% from MA50. Small move.\n28. **HLMA_CFD.UK**: +7.55% today, +16.52% from MA200, +5.78% from MA50. Above MAs.\n29. **FUTR_CFD.UK**: -20.82% today, -37.68% from MA200, -24.3% from MA50. Huge down move, very oversold. Excellent bounce candidate.\n30. **DPLM_CFD.UK**: -5.43% today, +4.82% from MA200, -4.66% from MA50. Moderate down move.\n31. **DLTR_CFD.US**: -0.1% today, null MA200, -8.52% from MA50. US stock, but volatility is extremely high (3590%) - likely data error.\n32. **ASY_CFD.FR**: +0.56% today, null MA200, -1.17% from MA50. French stock, volatility extremely high (4781%) - data error.\n33. **CW_CFD.US**: +1.96% today, null MA200, +13.16% from MA50. US stock, volatility extremely high (4308%) - data error.\n34. **AAL_CFD.UK**: +0.06% today, null MA200, +11.75% from MA50. Volatility extremely high (4210%) - data error.\n35. **CO_CFD.FR**: -3.09% today, null MA200, -7.31% from MA50. French stock, volatility extremely high (3847%) - data error.\n\nI should exclude stocks with clearly erroneous volatility data (those with >1000% volatility). That removes DLTR, ASY, CW, AAL, CO.\n\nNow let me identify the best mean reversion candidates:\n\n**Strong Up Moves (potential short/pullback):**\n- RSW_CFD.UK: +18.16%, very extended above MAs\n- SAFE_CFD.UK: +13.19%, extended\n- MAB_CFD.UK: +14.38%, extended\n- WTB_CFD.UK: +11.66%, below MAs but big move\n- DLN_CFD.UK: +10.4%, extended\n\n**Strong Down Moves (potential long/bounce):**\n- VTY_CFD.UK: -44.22%, extremely oversold\n- OCDO_CFD.UK: -21.15%, oversold\n- FUTR_CFD.UK: -20.82%, oversold\n- IWG_CFD.UK: -16.57%, oversold\n\nFor mean reversion strategy, I want to select a mix of both long and short opportunities. But since the strategy is \"mean reversion\" without specifying direction, I should pick the best setups 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 (moderate to high is good, but not extreme)\n4. Overall setup quality\n\n**Top candidates:**\n\n1. **RSW_CFD.UK**: Score 90 - Extreme 18% up move, 36% above MA200, 14% above MA50. Perfect pullback setup.\n2. **VTY_CFD.UK**: Score 88 - Massive -44% drop, 36% below MA200, very oversold. High risk but excellent bounce potential.\n3. **OCDO_CFD.UK**: Score 85 - Large -21% drop, 15% below MA200, high volatility. Good bounce setup.\n4. **FUTR_CFD.UK**: Score 83 - Large -20% drop, 37% below MA200, very oversold. Good bounce setup.\n5. **IWG_CFD.UK**: Score 80 - Large -16.5% drop, 4% below MA200, 10% below MA50. Good bounce setup.\n6. **SAFE_CFD.UK**: Score 78 - Strong +13% up move, 21% above MA200. Pullback candidate.\n7. **MAB_CFD.UK**: Score 75 - Strong +14% up move, 11% above MA200. Pullback candidate.\n8. **WTB_CFD.UK**: Score 72 - Good +11.6% up move, but still below MAs. Mixed signal.\n\nI need exactly 5 candidates. I should pick the best setups while trying to balance long/short opportunities and avoid sector concentration (though sectors are unknown).\n\nLet me select:\n1. **RSW_CFD.UK** - Short candidate (extreme up move)\n2. **VTY_CFD.UK** - Long candidate (extreme down move)\n3. **OCDO_CFD.UK** - Long candidate (large down move)\n4. **FUTR_CFD.UK** - Long candidate (large down move)\n5. **MAB_CFD.UK** - Short candidate (strong up move)\n\nWait, I have 4 long candidates and 1 short. Let me reconsider for better balance.\n\nBetter selection:\n1. **RSW_CFD.UK** - Short (extreme up)\n2. **VTY_CFD.UK** - Long (extreme down)\n3. **OCDO_CFD.UK** - Long (large down)\n4. **MAB_CFD.UK** - Short (strong up)\n5. **IWG_CFD.UK** - Long (large down)\n\nThis gives 3 longs and 2 shorts, better balanced.\n\nNow I need to write concise, indicator-based reasons for each.\n\nLet me also check the rejected stocks and provide common reasons.\n\nRejected stocks common reasons:\n- Insufficient 1-day move magnitude for mean reversion setup\n- Too close to moving averages (no clear extension)\n- Mixed signals (e.g., above MA200 but below MA50)\n- Small price movements relative to volatility\n- Erroneous data (extreme volatility readings)\n\nLet me finalize my selection:\n\n**Selected:**\n1. RSW_CFD.UK - Score 90\n2. VTY_CFD.UK - Score 88\n3. OCDO_CFD.UK - Score 85\n4. MAB_CFD.UK - Score 75\n5. IWG_CFD.UK - Score 80\n\nActually, let me reconsider the scores to be more precise. I'll use a more systematic approach:\n\n**Scoring system:**\n- 1-day move magnitude (0-30 points): |change| > 15% = 30, >10% = 25, >5% = 20, >3% = 15\n- Distance from MA50 (0-25 points): |distance| > 15% = 25, >10% = 20, >5% = 15, >3% = 10\n- Distance from MA200 (0-25 points): Same scale\n- Volatility suitability (0-20 points): 70-150% = 20, 50-70% or 150-200% = 15, <50% = 10, >200% = 5\n\nLet me recalculate:\n\n1. **RSW_CFD.UK**: +18.16% (30), +14.33% from MA50 (20), +36.78% from MA200 (25), volatility 92.6% (20) = 95\n2. **VTY_CFD.UK**: -44.22% (30), -36.11% from MA50 (25), -35.83% from MA200 (25), volatility 213% (5) = 85\n3. **OCDO_CFD.UK**: -21.15% (30), -5.48% from MA50 (15), -15.82% from MA200 (20), volatility 241% (5) = 70\n4. **FUTR_CFD.UK**: -20.82% (30), -24.3% from MA50 (25), -37.68% from MA200 (25), volatility 153.6% (15) = 95\n5. **IWG_CFD.UK**: -16.57% (30), -10.86% from MA50 (20), -4.41% from MA200 (15), volatility 135.8% (20) = 85\n6. **MAB_CFD.UK**: +14.38% (25), +10.94% from MA50 (20), +11.6% from MA200 (20), volatility 118.9% (20) = 85\n7. **SAFE_CFD.UK**: +13.19% (25), +10.3% from MA50 (20), +21.4% from MA200 (20), volatility 81% (20) = 85\n8. **WTB_CFD.UK**: +11.66% (25), -5.07% from MA50 (15), -5.97% from MA200 (15), volatility 87.6% (20) = 75\n\nBetter selection with scores:\n1. RSW_CFD.UK - 95 (short)\n2. FUTR_CFD.UK - 95 (long)\n3. IWG_CFD.UK - 85 (long)\n4. MAB_CFD.UK - 85 (short)\n5. SAFE_CFD.UK - 85 (short) or OCDO_CFD.UK - 70 (long)\n\nI need to balance long/short. Let me pick:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. IWG_CFD.UK - Long (85)\n4. MAB_CFD.UK - Short (85)\n5. OCDO_CFD.UK - Long (70) - but maybe better to have another short?\n\nAlternative for balance:\n1. RSW_CFD.UK - Short (95)\n2. FUTR_CFD.UK - Long (95)\n3. MAB_CFD.UK - Short (85)\n4. IWG_CFD.UK - Long (85)\n5. SAFE_CFD.UK - Short (85)\n\nThis gives 3 shorts, 2 longs. Good balance.\n\nFinal selection:\n1. RSW_CFD.UK - Score 95\n2. FUTR_CFD.UK - Score 95\n3. MAB_CFD.UK - Score 85\n4. IWG_CFD.UK - Score 85\n5. SAFE_CFD.UK - Score 85\n\nWait, I should double-check the data. The volatility values for UK stocks seem very high (70-200%+). This is unusual but possible for CFDs. I'll assume the data is correct.\n\nLet me write the final JSON output.",
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