Arena run #814

meanrev-v1googlegoogle/gemini-3-pro-previewUSsuccess
Arena
Run status
as_of: 2026-03-23T18:04:09.108429+00:00
started_at: 2026-03-23T18:17:00.217314+00:00
finished_at: 2026-03-23T18:18:04.808332+00:00
duration_ms: 64588
Inputs
{
  "as_of": "2026-03-23T18:04:09.108429+00:00",
  "dry_run": false,
  "selected": [],
  "simulate_only": false,
  "strict_replay": false,
  "universe_symbols": [
    "CRST_CFD.UK",
    "MSLH_CFD.UK",
    "SPX_CFD.UK",
    "ESNT_CFD.UK",
    "JDW_CFD.UK",
    "PAG_CFD.UK",
    "INVP_CFD.UK",
    "SAFE_CFD.UK",
    "CBG_CFD.UK",
    "DLN_CFD.UK",
    "BT_CFD.UK",
    "IWG_CFD.UK",
    "MKS_CFD.UK",
    "EMG_CFD.UK",
    "MNG_CFD.UK",
    "OCDO_CFD.UK",
    "HWDN_CFD.UK",
    "SBRY_CFD.UK",
    "IMI_CFD.UK",
    "DCC_CFD.UK",
    "DOCS_CFD.UK",
    "ABDN_CFD.UK",
    "OPTU_CFD.US",
    "SMIN_CFD.UK",
    "BBY_CFD.UK",
    "NAE_CFD.FR",
    "KGF_CFD.UK",
    "ABF_CFD.UK",
    "HLMA_CFD.UK",
    "DOM_CFD.UK",
    "LAND_CFD.UK",
    "IPO_CFD.UK",
    "BTRW_CFD.UK",
    "GROW_CFD.UK",
    "BYIT_CFD.UK",
    "OSB_CFD.UK",
    "EXPN_CFD.UK",
    "MNDI_CFD.UK",
    "FUTR_CFD.UK",
    "NSI_CFD.NL",
    "INF_CFD.UK",
    "ATG_CFD.UK",
    "HMSO_CFD.UK",
    "NXT_CFD.UK",
    "EXE_CFD.FR",
    "ACKB_CFD.BE",
    "IPR_CFD.PT",
    "SGRO_CFD.UK"
  ]
}
Outputs
{
  "actions": {
    "buy": [],
    "hold": [
      {
        "reason": "Current drawdown is within normal volatility; holding for reversion.",
        "symbol": "ADBE_CFD.US"
      },
      {
        "reason": "Price is stable near entry; holding.",
        "symbol": "BRBY_CFD.UK"
      },
      {
        "reason": "No significant price movement; holding.",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Minor unrealized loss; holding for potential bounce.",
        "symbol": "FICO_CFD.US"
      },
      {
        "reason": "Position is profitable but has not yet reached take-profit targets.",
        "symbol": "HAIN_CFD.US"
      },
      {
        "reason": "Price is flat; holding.",
        "symbol": "ICG_CFD.UK"
      },
      {
        "reason": "Moderate drawdown; holding for mean reversion.",
        "symbol": "MNDI_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Stop loss: Position is down over 10% and has failed to revert since entry on March 1st.",
        "symbol": "PZC_CFD.UK"
      },
      {
        "reason": "Take profit: Capitalizing on a rapid ~10% gain since entry to capture mean reversion.",
        "symbol": "AML_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "The strategy focuses on risk management and profit taking this period. We are closing PZC_CFD.UK due to continued drift lower (-10% loss) violating the mean reversion thesis. We are also taking profits on AML_CFD.UK after a sharp upside move (+10%) to lock in gains. No new candidates were provided for entry."
}
Prompts & responses
#1602openroutergoogle/gemini-3-pro-preview2026-03-23T18:17:00.258057+00:00
System prompt
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).
User prompt
{"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": "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": "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": "PAG_CFD.UK", "name": "PARAGON BANKING GROUP PLC", "sector": "", "last_price": 852.5, "change_1d_pct": -3.399433427762044, "distance_from_ma200_pct": -1.3404962254783492, "distance_from_ma50_pct": 0.699141440891915, "volatility_20d_pct": 71.52779356208148, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "INVP_CFD.UK", "name": "INVESTEC PLC", "sector": "", "last_price": 623.5, "change_1d_pct": 8.529155787641418, "distance_from_ma200_pct": 17.34715626999408, "distance_from_ma50_pct": 9.569618971869698, "volatility_20d_pct": 76.97154585310399, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "SAFE_CFD.UK", "name": "SAFESTORE HOLDINGS PLC", "sector": "", "last_price": 708.0, "change_1d_pct": 0.14144271570013522, "distance_from_ma200_pct": 7.079918522466522, "distance_from_ma50_pct": -2.535991476029087, "volatility_20d_pct": 107.99712610776675, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "CBG_CFD.UK", "name": "CLOSE BROTHERS GROUP PLC", "sector": "", "last_price": 372.74, "change_1d_pct": -26.625984251968504, "distance_from_ma200_pct": -13.365429078084645, "distance_from_ma50_pct": -22.129222788055436, "volatility_20d_pct": 169.0552301316783, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "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": "BT_CFD.UK", "name": "BT GROUP PLC", "sector": "", "last_price": 217.3, "change_1d_pct": 4.521404521404526, "distance_from_ma200_pct": 12.48931662093067, "distance_from_ma50_pct": 10.274676813493189, "volatility_20d_pct": 92.38992239372133, "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": 189.6, "change_1d_pct": -24.09927942353883, "distance_from_ma200_pct": -11.798015594910993, "distance_from_ma50_pct": -17.03351041019402, "volatility_20d_pct": 148.96998448946707, "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": "MKS_CFD.UK", "name": "MARKS & SPENCER GROUP PLC", "sector": "", "last_price": 346.1, "change_1d_pct": -7.43514308638672, "distance_from_ma200_pct": -3.8050775687949234, "distance_from_ma50_pct": -2.7644562367007075, "volatility_20d_pct": 113.7533392971785, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "EMG_CFD.UK", "name": "MAN GROUP PLC/JERSEY", "sector": "", "last_price": 269.6, "change_1d_pct": 2.353834472285521, "distance_from_ma200_pct": 42.186331073171914, "distance_from_ma50_pct": 15.516783354614262, "volatility_20d_pct": 86.92367167139048, "market_cap_usd": null, "avg_daily_volume_usd": null, "days_to_next_earnings": null, "earnings_confirmed": null, "news_sentiment_score": null, "news_headlines_last_3": [], "data_quality_note": "snapshot_ok_prices_technicals_only"}, {"symbol": "MNG_CFD.UK", "name": "M&G PLC", "sector": "", "last_price": 279.6, "change_1d_pct": -11.937007874015737, "distance_from_ma200_pct": 3.6912374599800346, "distance_from_ma50_pct": -7.6737144159107595, "volatility_20d_pct": 91.15993052698488, "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": "HWDN_CFD.UK", "name": "HOWDEN JOINERY GROUP PLC", "sector": "", "last_price": 843.0, "change_1d_pct": -2.686229466563539, "distance_from_ma200_pct": 2.9144756901175572, "distance_from_ma50_pct": 0.6796292983215046, "volatility_20d_pct": 44.16384759940265, "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": "SBRY_CFD.UK", "name": "SAINSBURY (J) PLC", "sector": "", "last_price": 351.2, "change_1d_pct": -2.7685492801771905, "distance_from_ma200_pct": 11.845406209490061, "distance_from_ma50_pct": 5.259372040329446, "volatility_20d_pct": 82.11100213494068, "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": 2676.0, "change_1d_pct": 1.5945330296127658, "distance_from_ma200_pct": 20.655603593859716, "distance_from_ma50_pct": 2.743599661176499, "volatility_20d_pct": 90.40898907393799, "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": "DCC_CFD.UK", "name": "DCC PLC", "sector": "", "last_price": 4738.0, "change_1d_pct": 4.131868131868122, "distance_from_ma200_pct": -1.2358165497191043, "distance_from_ma50_pct": -1.6950365081147445, "volatility_20d_pct": 101.79870451788292, "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": "ABDN_CFD.UK", "name": "Aberdeen Group Plc", "sector": "", "last_price": 202.6, "change_1d_pct": -7.741347905282336, "distance_from_ma200_pct": 6.460345885775287, "distance_from_ma50_pct": -2.3285905331046353, "volatility_20d_pct": 82.55854119558269, "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": "OPTU_CFD.US", "name": "Optimum Communications Inc.", "sector": "", "last_price": 1.3, "change_1d_pct": -9.090909090909083, "distance_from_ma200_pct": -36.82113090175686, "distance_from_ma50_pct": -18.25955734406437, "volatility_20d_pct": 127.6568567850477, "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": "NAE_CFD.FR", "name": "North Atlantic Energies", "sector": "", "last_price": 69.8, "change_1d_pct": -10.092097636375353, "distance_from_ma200_pct": -11.879140094429463, "distance_from_ma50_pct": 46.87810379947142, "volatility_20d_pct": 203.33273738036817, "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": 309.6, "change_1d_pct": -14.143094841930115, "distance_from_ma200_pct": 5.598205649094723, "distance_from_ma50_pct": -4.786156349988369, "volatility_20d_pct": 104.60870893174696, "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": "ABF_CFD.UK", "name": "ASSOCIATED BRITISH FOODS PLC", "sector": "", "last_price": 1812.0, "change_1d_pct": -7.338276655586807, "distance_from_ma200_pct": -13.584918221859954, "distance_from_ma50_pct": -8.055924730074116, "volatility_20d_pct": 88.64957551561282, "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": 3658.0, "change_1d_pct": -5.478036175710599, "distance_from_ma200_pct": 8.890890613176584, "distance_from_ma50_pct": -0.8317338451695466, "volatility_20d_pct": 89.73890792125391, "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": "LAND_CFD.UK", "name": "LAND SECURITIES GROUP PLC", "sector": "", "last_price": 573.0, "change_1d_pct": -12.718964204112716, "distance_from_ma200_pct": -4.1906796091180425, "distance_from_ma50_pct": -7.877546912515177, "volatility_20d_pct": 82.80648854646886, "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": "BTRW_CFD.UK", "name": "Barratt Redrow Plc", "sector": "", "last_price": 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300.4, "change_1d_pct": -12.674418604651173, "distance_from_ma200_pct": -28.03446775272175, "distance_from_ma50_pct": -14.34777426817815, "volatility_20d_pct": 87.82535981934274, "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": "OSB_CFD.UK", "name": "OSB GROUP PLC", "sector": "", "last_price": 558.5, "change_1d_pct": -10.568454763811053, "distance_from_ma200_pct": 3.9920567571329224, "distance_from_ma50_pct": -6.032210509384505, "volatility_20d_pct": 85.69536040288594, "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": "EXPN_CFD.UK", "name": "EXPERIAN PLC", "sector": "", "last_price": 2702.0, 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"distance_from_ma200_pct": 18.21086261980831, "distance_from_ma50_pct": -3.181913334728914, "volatility_20d_pct": 211.6528623619224, "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": 735.4, "change_1d_pct": -2.051145444858815, "distance_from_ma200_pct": 8.121221031738735, "distance_from_ma50_pct": 0.6415109419246168, "volatility_20d_pct": 82.62107653630062, "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"]}}
Output JSON
{
  "raw": {
    "id": "gen-1774289820-Okrp27RErT7uKfHB9bgT",
    "model": "google/gemini-3-pro-preview-20251117",
    "usage": {
      "cost": 0.070734,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.070734,
        "upstream_inference_prompt_cost": 0.022962,
        "upstream_inference_completions_cost": 0.047772
      },
      "total_tokens": 15462,
      "prompt_tokens": 11481,
      "completion_tokens": 3981,
      "prompt_tokens_details": {
        "audio_tokens": 0,
        "video_tokens": 0,
        "cached_tokens": 0,
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      "completion_tokens_details": {
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        "image_tokens": 0,
        "reasoning_tokens": 3836
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    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\n  \"task\": \"stage1_universe_scan\",\n  \"region\": \"US\",\n  \"strategy\": {\n    \"key\": \"meanrev-v1\",\n    \"name\": \"Two-Stage LLM Mean-Reversion (Arena v1)\",\n    \"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\": 300",
          "refusal": null,
          "reasoning": "**Refining Strategy Selection**\n\nI'm zeroing in on the stock selection. My focus is on the \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy and its application of short-term mean reversion. I'm homing in on the 2-10 trading day horizon, working to pinpoint the optimal configuration of the stock selection rules.\n\n\n**Analyzing Selection Criteria**\n\nOkay, I'm now fully immersed in the selection rules. I am trying to formalize those rules into concrete selection criteria. I'm prioritizing the 1-day change metric, the MA distance indicators, and the volatility data to refine my stock screening. I'm building a system to weed out the binary/event-driven moves. I'm focusing on incorporating the sector diversification constraint.\n\n\n**Filtering Initial Candidates**\n\nI've just finished the initial screening. I've eliminated CRST_CFD.UK and CBG_CFD.UK due to high volatility and significant price changes indicative of event risk. I also removed IWG_CFD.UK. My initial focus is now on SPX_CFD.UK, JDW_CFD.UK, and DLN_CFD.UK for further analysis. The lack of sector data makes it tricky, but I'm inferring sector assignments based on company names to enforce the diversification rule.\n\n\n**Selecting Initial Targets**\n\nI've sifted through the candidates, zeroing in on promising mean reversion plays. I'm leaning toward SPX_CFD.UK and JDW_CFD.UK as potential shorts, given their recent rallies. I'm also considering MNG_CFD.UK and KGF_CFD.UK, as potential longs, based on the sharp drops. I'm keeping sector diversification in mind.\n\n\n**Identifying Ideal Candidates**\n\nI've just finished the initial screening. I'm focusing on stocks with strong mean reversion potential. Based on the 1-day change and volatility metrics, I've discarded the most extreme movers, such as CRST_CFD.UK and BTRW_CFD.UK. I am now evaluating the remaining candidates. My initial list of targets includes MNG_CFD.UK, KGF_CFD.UK, ABF_CFD.UK, LAND_CFD.UK and SPX_CFD.UK. I'm trying to balance opportunities across different sectors.\n\n\n**Finalizing Candidate Selections**\n\nI've carefully evaluated the candidates, refining my picks while prioritizing sector diversification and risk management. My final selections are SPX_CFD.UK (Engineering, short), ABF_CFD.UK (Food/Retail, long), LAND_CFD.UK (Property, long), MNG_CFD.UK (Financials, long), and INF_CFD.UK (Media, long), each representing distinct sectors and promising mean reversion opportunities.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I'm focusing on stocks demonstrating the strongest mean reversion signals, balancing the risk associated with larger price movements. I'm keeping an eye out for news that could affect the plays.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I've reassessed the sector allocations. I've decided to swap ATG, with its high volatility, for a different pick, balancing risk with the potential of a mean reversion play.\n\n\n**Revising Portfolio Selections**\n\nMy focus has shifted back to the final five. I've reassessed my sector allocations, aiming to balance risk. I'm swapping ATG, which showed high volatility, with the aim to enhance the quality of the strategy.\n\n\n**Evaluating Portfolio Adjustments**\n\nI'm now refining the selection again, focusing on the current market data. I am prioritizing stocks showing the strongest signals. My top picks remain the same, though I am closely monitoring the volatility, aiming to refine the allocation to enhance the overall portfolio performance.\n\n\n",
          "reasoning_details": [
            {
              "text": "**Refining Strategy Selection**\n\nI'm zeroing in on the stock selection. My focus is on the \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy and its application of short-term mean reversion. I'm homing in on the 2-10 trading day horizon, working to pinpoint the optimal configuration of the stock selection rules.\n\n\n**Analyzing Selection Criteria**\n\nOkay, I'm now fully immersed in the selection rules. I am trying to formalize those rules into concrete selection criteria. I'm prioritizing the 1-day change metric, the MA distance indicators, and the volatility data to refine my stock screening. I'm building a system to weed out the binary/event-driven moves. I'm focusing on incorporating the sector diversification constraint.\n\n\n**Filtering Initial Candidates**\n\nI've just finished the initial screening. I've eliminated CRST_CFD.UK and CBG_CFD.UK due to high volatility and significant price changes indicative of event risk. I also removed IWG_CFD.UK. My initial focus is now on SPX_CFD.UK, JDW_CFD.UK, and DLN_CFD.UK for further analysis. The lack of sector data makes it tricky, but I'm inferring sector assignments based on company names to enforce the diversification rule.\n\n\n**Selecting Initial Targets**\n\nI've sifted through the candidates, zeroing in on promising mean reversion plays. I'm leaning toward SPX_CFD.UK and JDW_CFD.UK as potential shorts, given their recent rallies. I'm also considering MNG_CFD.UK and KGF_CFD.UK, as potential longs, based on the sharp drops. I'm keeping sector diversification in mind.\n\n\n**Identifying Ideal Candidates**\n\nI've just finished the initial screening. I'm focusing on stocks with strong mean reversion potential. Based on the 1-day change and volatility metrics, I've discarded the most extreme movers, such as CRST_CFD.UK and BTRW_CFD.UK. I am now evaluating the remaining candidates. My initial list of targets includes MNG_CFD.UK, KGF_CFD.UK, ABF_CFD.UK, LAND_CFD.UK and SPX_CFD.UK. I'm trying to balance opportunities across different sectors.\n\n\n**Finalizing Candidate Selections**\n\nI've carefully evaluated the candidates, refining my picks while prioritizing sector diversification and risk management. My final selections are SPX_CFD.UK (Engineering, short), ABF_CFD.UK (Food/Retail, long), LAND_CFD.UK (Property, long), MNG_CFD.UK (Financials, long), and INF_CFD.UK (Media, long), each representing distinct sectors and promising mean reversion opportunities.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I'm focusing on stocks demonstrating the strongest mean reversion signals, balancing the risk associated with larger price movements. I'm keeping an eye out for news that could affect the plays.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I've reassessed the sector allocations. I've decided to swap ATG, with its high volatility, for a different pick, balancing risk with the potential of a mean reversion play.\n\n\n**Revising Portfolio Selections**\n\nMy focus has shifted back to the final five. I've reassessed my sector allocations, aiming to balance risk. I'm swapping ATG, which showed high volatility, with the aim to enhance the quality of the strategy.\n\n\n**Evaluating Portfolio Adjustments**\n\nI'm now refining the selection again, focusing on the current market data. I am prioritizing stocks showing the strongest signals. My top picks remain the same, though I am closely monitoring the volatility, aiming to refine the allocation to enhance the overall portfolio performance.\n\n\n",
              "type": "reasoning.text",
              "index": 0,
              "format": "google-gemini-v1"
            },
            {
              "data": 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PPWtfgCfRl8yLhOyhclVMicwtgHmz9VOyX2r9I0ZreMKmams2jFULbjjmqha50cg831WrYhKz1Y+BsWdFJgTkpb7wn7AwaJqTIgY4+t6Jp4fFq5E1TPoBWNYy6xHz7J3XmgzJNEsokkAPe4AsjSM+L5HquXYX5nSDed18GKyAoi6jiGkLK8MRWHtm+9MJ2aEogZD5oCovYWCPTTnO49IK4SwBkx8qf4YtCqYBAY89a18MHhwl2ApxwCvSqYQuXrmzZK4xjbc5PCfwH9xziuwSGJQzFQyxP17r8EXvCIHkZccdlhY8b32wggS/Q57bmbngqzSIpVXxlefFNt6OGq++wdRR55eDNpqXZqqQxq5jYMzTeSfnltTqKuhooH5jzroe1vVRkOea9Pw/yKDEdb+glnZlWKToBKxKHVjFxTz0kJVjdOR2UlywCS2dKgJpAt0tOAqkAQGPPWtfjx/N67V8VLmj6gyAGoD6NEzrmFeranU6nwG0jNjSvFyjQ+r8jte14QIi+Goib0zDfl8uhI7WRXZGpgBHsYMojvxc+q6Ses/2AibTF6LWQZUco1U6+HXsMWB3Oxh/zga9cgbrofiRRwNswjjYN1M7C06FjVtRtIVKMxwRbFjKMgwQVCVDD6SC5iN44uqI6w3SMQlbSWr3wMZBDYXLgEHKCp8BAY89a182JosOLRDrGldDEWRrkIpW2A7f8cfVNUxcALIcNraRyM22iRihyZ0yx1iO445k8X0Ki2GAq8thAX0bhZOjcq9wB/caXDIKdyuQZwffuE39M0kPHF7RKcVa6VTUer3q/PRKuYWVLyRN7cgyc3ntlIoHQgNR6LNzMscWxFFNAzroe7X7RE3fVqaHIRmKE0xgFiQD/rqjXpRsDzfHCo0BAY89a1+c/8J+p+e/nIZKUaOrY9I2xyj33QJIi/UFhrW2pKcBuuhfwF55Bv9ie9GcVgwQRUUpF3LALqDCMTLHwQS+Yww02O5vJb1AB+x0e/4iKVnE/9jQ5UQhkplQt8nam7PCPvQUJP/V3Y2ak8fo/CM0lzbRHtpcNhJUxE0K/2YFkaRDdONqGqFqxL9iCo8BAY89a1/vHPwlVQUZKhJ1UEbm4EgCHup6MR4J6/DnM/fvC3EBJ8+P0D3lVQl/WUsQ2/8LZwU25zXuQNl5A2CLVD8v41wjKJJlVh4w/tQq6IAN5XOwe0kWSDnBQzk1/SnLw3E/9AoKTSYn6/r2CJpDjkxAA+mX1ZRXtEqUaAPvSn/CZVCsu6UiiurIFnak5OsKmwEBjz1rX/muVAY0G3kvqspYL1g+RFBB3RczI7tw//WO/bjM4e6uZne0vsXmdaLiMCZC2301Xj947/CSjgxIFp994SVAzMYAQ8E9PB8YFKspkMizGGbrmFuewK1ozAob/6OgqXNg9CzaRD92GNbTw9J3ltIDp/od/gJCrZOaRWAd9gVIlMRWd1YuR3pc+gke+oVAtjbMOz8HJy8OqQqRAQGPPWtfg6423TIRn5NKjfz80n7qMKljLJqiuoQAAVnbSDboKSgTJmTW35J6Ekd0qBN+69QlNO1aKVt7PFkHoEIwzSPJY/frW15IIbz+NipWP0tk3MrghBAbdDoFnGj0FuZZ80nuD11ZT1IYYEBE0be0PcSoTBFbQcZUJINkr/EVLmxTV9AD2oYs0kn9StTl13YK4QEBjz1rX156DUMkvnuJ0tfZYa4iv4jV/c49r2tbz4jJL8Im5ChzqI59RHFjxfUKVYjlLzBHMMBwU3BP3at0c8BK3RAqPrnJKBAgGmCUUQqwQv0IS4mRI746XuOQ5LlLJQLkGcA7Rq7hiu5SeXTH/O048v8i3yLAhnRtBFlI0kNl7wf/MG36XXxzKd0mc9SSSVGpUrZehsOIoXzVdXKY8kIB5GHa3U4v9XR43l3J5vUxuRZfa7NA6StgO9GTAwbgiLLELZaDuELcXcJNgO6crXQoKETTBIorT8Ay/CoVBKApfSkKuQEBjz1rX3i82zRaFxLWOlDk3wfYoGb05LSmO5Ejhf4wgtLbCX1pLbqYzoVbdyFOpuYeSE+HhpEdPESNK19CDeQ78FbvE4f+YenoU0K31jBlwKcVVcJliByZarxTr50K5qEvrKhsHO2CPjBHEV8Mvazy8OYXKQlaPF8cRs6/iJYjDPkJPqO4wi4v64i/+Udn79jeh8ud2QueWi/53hACASgjoMPButl9HYCjZk+IuP5LoQrgILQIEzN1pgqiAQGPPWtfGzhNtAoZ8AMC/5aI4dTLBAdc+Cs8PCKEzIbBm3C8cg4CWyHTfQJr7x3NVIerQonWDxH78i+GgCIYwBkYwMqs/X92YHs9zeljdRjyFUKS7Sr2HHtmmd0TX8e/uCN+881Ww5qfh2L2vCAEfCwcT/we1KiZl5eFN5PKSrvOoKa7SJYlOTOpyByu6JcTEzkc25j+eUtRFQLjxPyXlY5kJAqpAQGPPWtf/EwNNdzdeXk/ZmPxwr61xeOVqBhDjGkMS4aQDtfMy3S/bNaBCbcN24Wzehv64HkYPQ3os3QMFlUDsSg9TW/WMLQkWDFAq4Z+fGoWQX6JnCtcH9jLta9cl0/n4N8zesBwF1UgzufRV8KnaTP0KBNNgBKYNRlnwKGcnhVM8SQmBuYxEMJefHei/Ajyv6JdhrkL5hmFHzOkywm8ZaXnyMK9j49bvI0KqgEBjz1rXy2ousxWbAZKgpTntj8QYuB/ADE9qAp/wj/uLFRW6xgC17J9SUy+kE4WTNklDlxrtNb39WKs2hNWPOeJ2T2yyaMt/RJ+16x+mdcgJyI5yFUUJIBPa5IUIHgSGVWzDGHRERn18t0kfO86OZ8TplO6eIYcLcXynfOxIDLvqj/aHXA8wqFnmzRiMLALPTmiYA+I1AbLQGAXX+En1UIkuEI4jHvyJhTZkQrSAQGPPWtfVypthC01C6+GyLlrUAEto4xUziCXj+aVJ6y4ULbv3IlCjHO9xpuYlxqfagL5HIBtIN8A/GmK5qpYFhyAPwsYuk7Aj43FGVvj9Hz4Tc4SAVkPJM2RHwtoqD8A/zGG/NWzpJhYH/B88F7fgTli9nAv9BF2v7FxV2U3JeuwgDnso29nE4/gv5s2NAt09ubdHZhtDtv5AGirQ+igrQWSB1hlkdCeUnG8yTVebMwxxL5ALrrAqhRNz/hVj2JVt1oiIJwYUms4CKeSMo0+6iBFCQqrAQGPPWtf0+xHH6kVUffrEQ1jm403RhYPJTAdZkiq1cTDFCtBgY4CA/SIIaU6XXHwfhWsNCOmKHc3AX0kS4e8DjfhVZDjTNouyyEowjQK8yhn2cZ/7Gik7uVwjSPPuRHGdGLZ0h6bc30SCyg6wXTgwxcB0jNMLvyFa+POQg62Gnogc0JVHfiNI+dJHahkA2b7tu4BI4a1EYn6ukNnxeWYLKNjju+wMe+Sqba6/QrTAQGPPWtfcTU6PjoMw20CVHANQr340SLckFiNPe2KFYBf0oDOR7lyhGDDW8pHGsCWj6b6Ntgy0ICNdA52JI0hoMY3GTms3b7DB6zkQRMBpyZkewD2nQLn3mTQx+s1LW3Q2E8aoFrmm4wpoBz/37xvU6tNnURib8D9aeBSWhBMnZ9wCafdnJai8bbyC1oro8Gz1rDgDPckIDhWObTLIpwTeUjlfPCBk1L4J3wSzOF5LrUdqIZpCRIoVp/7oj5HJar66NH3CeTDZL8aEf8gbXxfP9V8loQKuQEBjz1rX3Ve7QiVye+11hXZtTK6EiaxBsW2bJdzgBS02zaWE3xBEvDa9WyTFVoFb7T5xBGnOn9JBFUZ7qHWoXUqBUFPDLjS0q3NJTHNFozwCJEN4o2ddvxrcAfvqs/IBvEKZKhly1QQYwDMz8hKRzyrxDdLFRaYtRB7EZvEth0Qhql/E42dPIXEoc0m+VJOySnd7tzxkFi8nZPlIq9Vb8oFuP5tyGUJgWif7J4maQkxYz56DFZlTi32aQrKAQGPPWtfAG4segUhrqn5WaTNGX45jcJakM8IxB4QHp+c4XmiVx4E8YVOFPG+Foacwp0HoMmzSctp8TzNNPggaP+5fxdaJxxuFnd+hQ3fFc018mexXx4BswDXYXcDb+BKWdlZKQnONzw9se8CD45cYnd7ECkzSnGIztjQ4O9UzsdB/8jXYw5fi6VTTk2tbldXGzL+Su3YqumHIY0+BQVn2LPKutlX1hj0coco0pLNHZcSHnSlPv0bxviVSJ5pNR0elKnvVefLhPy+nusK8AEBjz1rXwjHtGZg4FTw7bdE7qUpOTMYp7fkPk+d1y+3/H1cpm+vaZ7GMrMQPo2TWQrCApgG7sfYgeDQi4KoeoZUzoIAf84joqOyJVcTHEAuPPD9qMaL3Hi7RdhtA0F9fiqgYMoD3BpvRFIBB+h1jOWHPC9iSzjSr8fz+gY8eMF5JRHuAereTQhRmdSE+aPBRk4FMFNJjUTyJG2QHvPLhWOFxTiDXEyz2mn80/C/87iwXcP6tOLJNDrThhUidchI0YKA/Xkkql6YzxwVujrikMwTG8mOYl+d3O4jFQ32u25Nr8Dv2T0V5NZi9TfcZRMTwbgK2gEBjz1rX3GGa39xW0h34Gl4O0EBnOo9JtTGuxiDjf5yPZR9GrynhpWxV1irOXCl6IcwGQnYMYUaiLpuMR1DnLZpMDXEsPAwKuN8vvTX+IREwN/V8PIPIB0dp26Hwfe4DPwD3bhdXhZeQGRQiQsySv6V6DNTXl5MYWH1zeGgpjwoPLMmHOMyZpqBooc0VNa+apAVjJGW89/jha28ccI4zjKcZWDEDF1EmRBKwdXZm/qhjKOPhwTv+Y0Pitgd3MVcWMAZge8UH8UypjJ9aC49SC0YqcFxx9IAAO8UvQrwAQGPPWtfXfXlKiHlXzkk/Dn+JGOhC19PopAToEtPdAre4ng7XtzQ6Ytg3XgBTsp/R8vrlxAn9Sacncd6GpYqFzsXqqvip2a6E8YC5tVxn66IpozESS+Rx2ZuPBLHGA7nwVmO2VYfBakvbanOsHDeWb0s6nS/LPLMzNOStzkcA2Il5EmhHqWBxREdSqCe+ynQB+ir1T8kLNy/Uwy0CUzWOmVmnqseQWvB8IrNFEwEdvCG/Dmwu5Lb3cS18GMwPBlFkSspRKJarztZT6oqenVu33LtGLrfnMVbKzXl4stnFTHhOsYcWUEq4c6Ad+3vZHcw7wrGAQGPPWtfT8HaWBmzAlz47Y9Qie3Zs4iPIm2ykVMu6WqEyP2e6+n1T2HjTZY+H34QZq4hQafSvaWMowH9SlR0q3PCGAAn/ffcXa001jAB6LYOr5keHJiNnWhyl2QUEn5R3iTy+z/NGxyiObg21UgGKO9TuIXP/GeIszsZhiOLFAAJm/YZvM+2+69rQ9zIbKoU1DgL0LGG1OUI3tjN9O869xCoQPJi6WRBQpdqGW6gfqH8T0gX1OOdALAl9m9kribWI5B+/zyqKgq5AQGPPWtfrswbYdL5YX+bVQVw9Q8sC8y/H6h2Kddekrum/5L/lxPo0RM7MFmp+VUYDVW0G60UIlZQUHFirtzXgn/Zd7KLXrreXB4Ph/fmoDwBqsZJS0nzbRHO+UyUgJ5e8d/8/Qzo3Qp0dzFm9BmRFS4p3EAFF2QtyhwZ61bJ8jLMHfrcEz0/mpufYGq+91vpL8c5xkTPswpn3I3m2aNKodm4DfcLpP8A/GyEOX4i4N7SQRn/KaxJE7ZfCtUBAY89a19rb9gVL27JUzNsq7XUabrXqDvUg55V087QTCf9/Le6+G67wnA84b46/Z6ZIJEhwJllyJe6QazpkHiNMvp73d43udHrfHat7Q2lydcXWe00rNtIy46kWCMAREp7hofa4ARHw63EiR6CrFX8kihYYL5Fo8FENyb+1x+LxVoXl6Q37OXXiHFAneVU1TEQYFQ+aBYVTEt04Yd6KglCfn5+edc7yUSJc7R5+mJioZDMiDa9UslU/CuGPCX3RPhW1DjmCq0FH2umq/zAEBVfimUS6Ka+CsgBAY89a1+EUSHON5xleIBhqoOhlGWINj6huSmY8q60JrgohaXaMmU6mxLBNC9XECmSBZJ7VWP5gdIWvNX+NtehyDwWFljly1IBW25jzZo30+tq6V9/p107/XSo7EHPWWQTgutLtiOi+t5OmmXwxSi3MCuZrU1ZQyh/QAmCg1rIL1hgGOS2dkZS2R9IHqmBacuIYGFxX+D95yITV2hGCnFnCMB4TBuNyaqZuoATthf3p6f1GRceMhBk+62ZGb51WgkDfkX5MnnrPEYK7wEBjz1rX45dDcrGR0FxLdFBYtLCMCxmwLUk3scNoy/MWot0QdNz+jLQ5kGzxi3TYiaunT2ugnT4/QOLis+tCyeAMoZ4+es89hBASBXIpkFBNTxRA/QUjndJQnk46lF8JGFVjPCn7Kci+ziPT6jtnf/a6tNI9VK5NSaHqkV7WkTigRMxwVDxK+Ao9A81aCXonf6wiDoZaGYOaTMGrVymdzujn6qH4dVMC6DO9/cH7/rLl+xzkmn8LVEAyo3fw7w630Kv5c/tI3SbRfeNLRXmE8x7Izh1kowKa76AtvxjRd5JkLglGnbi8lvmb9KOtfyuQwrVAQGPPWtfPpGrHw6lN8Lpeu37kkbAiJVVO2fXpZAHljCqDcFfYuqZhozCTkIhBoDhYFTNpzV5MH/q8YMjWCup/QCskN71L5o2xOIQoiphl+AxFY9CJxmJkoJDPYtn+vkjFArwSdAmSgr2Gt9z8+zemC5JlzOv598Ffn8S+B6KT8UmedjlRns15Pqg7Ggzfyp+diA06vWaii4GNepJeg2wW3jEApwVFV74bo0wq0O7H7KthzEYRJ1tNS0CkodB/mqLNvBjWV3PsDZUEIGS00q00TH6TccXmArBAQGPPWtfpDyJE/7J5NTxZ89pVoV7/UXa3/H7ST1DCaA9CYBVRRZmyZseGl+bUvlJeAepGkQVTvBo7yPh0Rr0zMQvNWzc9XqqpsK12Qi4xltA9omD9pFWvgHr+WZGh6ReOOBPTx4ASBqQG3tPWEi+CAifKxOvyJQDnFcI6xXtqPf96sICNp2tL+hTSLCIi+oxfEkuwG1UnxmkEVxY/6GfgQZZkwR9tjGwWkQtDUYsfNpuEUG4ZonQDCzV6Njyo14DTkwKygEBjz1rX13pAjNEZ67EMeCrLDHkot34IRh2uhXWOYu+NXjEa1HVeM2aG8cyVbFsew3x+Rc85RchrCS7fdsAtHDUrJG4m+vlZihW2n6egt7Sm2AZN/G5hMfYJhrMVEuL8xzQV1bhhmGVid8V/+N2jonT4HZv5/yniem9m3u0w+bhl7j3m9X6p3KCi/X9pbG9TCnyux0KcFotmYkZPGNSV0ZmLNtIU+NXqx7noGQm9MQtgAE37Ju5fP40cSx9YinWLiZXvE4ESxHe4vx1Cu4BAY89a1+BAbIgD5aUoq4tSMZWomlZjcJiDMKollkn8srU0jmcyB/0XMZX/47nB6PlZGeTfcnDNOb7un6ZQZRJqt8PnNEQ3UOVWDm61/b37uVzMfxRPcJZzo0KyGzJpo6SjkPqD1eR/znFdrgOqaXnyU/vycY3qhnKy3CeZTvuz54V0aUQ4Nyg8lkKWDV4SXJpxrvhXCvTaKld/kHqFXadYNkU8w0LHIglnK0cixSNz33pn8j/oGzlyw/WDZLcUH66uaKc6rDaauj0UGLeZlFnr8RcC1zpMsk8kxFu7pflUSwA8dgZoCXAYpgRa+fOxQqnAQGPPWtfo7xybl7zJrZJkjZ2UXFonjFiJG2MNXIAM6hiOJnmO/Pe2TUbuDYTKyJrmnXLKBNpqGWXqZLtK21E8LR/VTWZC6z46b/mBU7gkpQ1T/sSQfZxawhgon2BkXNuqCOW7SoHI3T+sIGCba1XzxBVz6XkOc59kbwidcxGkm/xTSYkkZAXiNTF8IJC2HnDUGf9w6/gZJfR/+IQIrA4kfnYKNGoqyIlCoICAY89a19qpx6DG38ssKVj/+Bw1M2oNEYAlzd1bR7jgWl7yDoO6tch515BPpF8ohZWi6+O5XWmyfzwS0HZMO7W+5cPlNyVnZmjGsmEvaERjvk47XiOomO5sUVvQUSlPtzX2FbKo/CWyLKrPCiLXoJvGRE/eYw4WVydwohk5mceUz3DYQwnYP1aiDRfvwas+TZu4iIaB2cueYXWZULDq1BC8Eet/Cx0HS181vhpjcdjV8de4rvt/NvzRz5xgP0G+LxMwe8u77Ujl3caUUWDER+kIBL8adNtjBcY+iTgUgr3sYhwMo32sCpxWQXchwDoRR0Lc0N9FITfSGcVQ2waN30I8GgqCpoBAY89a1+kxhU4g5Qge4Rtr8atWJxFdSvHqR9P8zjUUfxc8R7Oiaj/yb3q2S8R9E6k6d0yZ8ii+3Dsoz+OH/HGiHuiulIqqmtd2jqaM+uhdvBBuVwkXsGXkbmN+vO7W1xKuyPWEaJROBVtxxwSiMGc8tSb89R0cjzz1spZXjCMMB0kM1ABjJz0JpByiIxxhVMFt+Z5UxzqQNgBmgq+AQGPPWtf8Vg2nLYoWIrDRpf+TZLGkwepylHgc7jLiekJg7tCIJHQHaZ/clTm/DNAiuEapgbv1TdbA3K4GidXRQ66ZLz3dm175ICK7XBf3yqJ+fBsLtieInZ3/HxQamQ+H68HM7dT7tJS1lHoN4eQD4O3lwTlX/uaNN9vzWu8H1XklePOo0uTUEvYS3XjFtvU0cSEDfpodcvaWd5azSBim4YU4FrHfPXxBMQzLUYPCrdPPnBby1JkoPK+TjUjUigKrgEBjz1rX0XXIKuMulwU3T0VSy/hp8/9M0+1Hsav2dDCiNpjbYUjMtnoMYg+iepBpF6vFlqQC8TClMgEA4cZbSKesJelbf1c/JebfSCpNKFO1mAZt3Pd4Nosbph1S+YGn70YdkO+SUZ+A8aAv21Q6JlhKHfBp1IsZkq0cM5PPwp7JKYOy6tBGtaCW4gbjkTLQxIxcH3dc0JIO7hVmr1Gz+wMWUZygUmNQa1yN2whJKoKrAEBjz1rXyIcupHNuKpWpsjlLqXS9SZPtNa+KO6BwQmlla03tkS3T3qljngdZOo0NePEkknkNQoYZ64FTO+NCcinYmmienC4ubx2SaLsqcDBWYZF40lruzRsCEsy0BMRA2ttbFie2e8ITa31aBnpP9CB2DIHIGy1xcQaRl/YaDvem4pCyU0ZG8vhIHrgIPL3LNnyaCdBLTF71xfiIzF7hkHVr8k64maDbG2Om35TCqQBAY89a1+W6Yb7CJFo62dms0U4RLWuUaSO+6w42cvczvTHsjKhXbFmzfkLMmz6g8V5twtvi0KF4h2o4aJpZnDIkaQOzFjjMzdSjmvUwYw7A8M/P3Bi8gDq4ljgkdiSm5xdmFdPzsuK0wIZTb9U4HvDZDdGSCGS0/CqPn54V13Y7hcuPP4ocqGgRavfJqR+SY3832NYlIrxfrfAE3Wnlce2Aag4nNYKpwEBjz1rX36nqZcSW4RBbDnksJkYc5IoD0gHI9Szv2VGOK+N62/ut3Qq1zFn4HGpsSSDEFiMTGEkNDlFbq4/kwnPfNhqtiQ8776UZQ9KmX8exyLfR6NBjHO6EKbwY+wN/JRExeABO+edoSM0HCOvwZgEBHOaNyULg52RhTtLFDxnby2IfuvoNKILGQnwNitFH23H4o9kYFz4Ak+rUvNDpDI2EkwscbUkHQqZAQGPPWtfsKTzPlhOl7k/SOc0DCTl65uo6nfz6JCACXzaVwlIx/rtXoZi3rlYyiCvkyt/60kvCdi67hE/ALav5xm2JaY6kaSj4E5aoK38VjmIFEygitm9+M1iZtm5IJORCaSlJEm73Lw3omycuKkxHW0+19oFgC8W/1I279nSFFMYD4THxXZv23dnh+jTbO+uenn2gOQ+2hVhPgrYAQGPPWtfKQTz/7PBJc220yIa3PkWIvbuJeRrEu+ij8Xfe5gx/SdhPTuH06LYE2ALtYVw8TQ478Z2AhkgERfIuwg7ThjcoQih5Nf4tEJ6AoMq7ekZs9mL5/3KdnKJY86ULrwKRZM8fHc0VGTQd3NoVRESud0BimJk1JJt5ZDJXw8VfYtMb3ZqFbi4Uqrrwt/JEiQsONCxpzh9IQCfoel491r8i08cswqhuDC/icQWY42AD+QLIZPcDTepoKgoTx4BkA2mMGrnNgBe750pmg0AARePaVJKBeUFjwrQAQGPPWtfphpnwQM/uL5IsiHnQ5LuTqnP6XeV+cA2oCNjgxsD+fsrWBSDmetLH2Pf3/rw5PqBvhPPB1wkvqzI+/Yb7jqjkl825fsjJS6Q50kBq95rrEyauXdaScDmD9XWrn+jdohCVsSNDKXooXZ0+8b8szN7QRLU/Jv1nBbMjjTREtC5zY8H+Cr/YAvZx5JtgbYx+L1ISYlxgfzU4fkYKw5X7oFnQfNM9Zymh0Eo437l5espSlZnjpEZdZ2aSgwZ9Jk/ITDU9lhELNY+E8QL7xcKhgEBjz1rX4SpK4g/wjj9VVBxXv0Va1SLqCQ0OoLjpQ202yre+pEae9ztRSR69V6/RS3FOa95X05yNYAsO5mejWWQ44zxHOp2IEj0DKUqi+BnGg8UAgmGln3aHUnXnPj3mTPAKlDpkCahRHPbm+JcoR1+q/Lp/Rdo1T1mLYFdIaZ3FKicfJiBVA==",
              "type": "reasoning.encrypted",
              "index": 1,
              "format": "google-gemini-v1"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "MAX_TOKENS"
      }
    ],
    "created": 1774289820,
    "provider": "Google",
    "system_fingerprint": null
  }
}
#1603openroutergoogle/gemini-3-pro-preview2026-03-23T18:17:34.645036+00:00
System prompt
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.
User prompt
{"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": "AAL_CFD.UK", "qty": 0.0, "avg_price": 3035.0, "last_price": 3291.0, "unrealized_pnl": 0.0, "opened_at": "2026-03-09T10:19:46.508085+00:00"}, {"symbol": "ADBE_CFD.US", "qty": 11.775788977861517, "avg_price": 254.76, "last_price": 247.18, "unrealized_pnl": -89.26048045219011, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "AML_CFD.UK", "qty": 81.25677139761646, "avg_price": 36.92, "last_price": 40.7, "unrealized_pnl": 307.15059588299033, "opened_at": "2026-03-20T18:25:08.105367+00:00"}, {"symbol": "ATE_CFD.FR", "qty": 0.0, "avg_price": 62.35, "last_price": 57.25, "unrealized_pnl": -245.38893344025666, "opened_at": "2026-02-27T18:23:55.960577+00:00"}, {"symbol": "BRBY_CFD.UK", "qty": 2.8222013170272815, "avg_price": 1063.0, "last_price": 1056.0, "unrealized_pnl": -19.75540921919097, "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": "2026-03-06T18:02:13.212382+00:00"}, {"symbol": "CABO_CFD.US", "qty": 0.0, "avg_price": 94.6, "last_price": 108.6, "unrealized_pnl": 0.0, "opened_at": "2026-02-27T18:23:55.960577+00:00"}, {"symbol": "CCL_CFD.UK", "qty": 0.0, "avg_price": 1945.9999999999998, "last_price": 1832.5, "unrealized_pnl": 0.0, "opened_at": "2026-03-06T18:02:13.212382+00:00"}, {"symbol": "FICO_CFD.US", "qty": 2.6609662855571625, "avg_price": 1127.4099999999999, "last_price": 1095.45, "unrealized_pnl": -85.04448248640641, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "HAIN_CFD.US", "qty": 4761.9047619047615, "avg_price": 0.63, "last_price": 0.65, "unrealized_pnl": 95.23809523809531, "opened_at": "2026-03-20T18:25:08.105367+00:00"}, {"symbol": "HIK_CFD.UK", "qty": 0.0, "avg_price": 1408.0, "last_price": 1234.0, "unrealized_pnl": 0.0, "opened_at": "2026-02-26T10:33:24.101894+00:00"}, {"symbol": "ICG_CFD.UK", "qty": 1.772002362669817, "avg_price": 1693.0, "last_price": 1693.0, "unrealized_pnl": 0.0, "opened_at": "2026-03-09T18:18:45.954380+00:00"}, {"symbol": "LIO_CFD.UK", "qty": 0.0, "avg_price": 250.0, "last_price": 270.0, "unrealized_pnl": 0.0, "opened_at": "2026-02-26T10:33:24.101894+00:00"}, {"symbol": "MKS_CFD.UK", "qty": 0.0, "avg_price": 397.6, "last_price": 355.5, "unrealized_pnl": -317.65593561368223, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "MNDI_CFD.UK", "qty": 3.658536585365854, "avg_price": 820.0, "last_price": 790.2, "unrealized_pnl": -109.02439024390227, "opened_at": "2026-03-16T10:12:30.296045+00:00"}, {"symbol": "PZC_CFD.UK", "qty": 36.67481662591687, "avg_price": 81.8, "last_price": 73.1, "unrealized_pnl": -319.07090464547684, "opened_at": "2026-03-01T10:30:13.622938+00:00"}, {"symbol": "TRN_CFD.UK", "qty": 0.0, "avg_price": 184.5, "last_price": 211.4, "unrealized_pnl": 0.0, "opened_at": "2026-03-12T10:21:39.078796+00:00"}, {"symbol": "UKW_CFD.UK", "qty": 0.0, "avg_price": 92.35, "last_price": 101.7, "unrealized_pnl": 0.0, "opened_at": "2026-02-25T17:57:28.313088+00:00"}, {"symbol": "WIZZ_CFD.UK", "qty": 0.0, "avg_price": 1299.0, "last_price": 927.0, "unrealized_pnl": 0.0, "opened_at": "2026-02-25T17:57:28.313088+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"}}
Output JSON
{
  "actions": {
    "buy": [],
    "hold": [
      {
        "reason": "Current drawdown is within normal volatility; holding for reversion.",
        "symbol": "ADBE_CFD.US"
      },
      {
        "reason": "Price is stable near entry; holding.",
        "symbol": "BRBY_CFD.UK"
      },
      {
        "reason": "No significant price movement; holding.",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Minor unrealized loss; holding for potential bounce.",
        "symbol": "FICO_CFD.US"
      },
      {
        "reason": "Position is profitable but has not yet reached take-profit targets.",
        "symbol": "HAIN_CFD.US"
      },
      {
        "reason": "Price is flat; holding.",
        "symbol": "ICG_CFD.UK"
      },
      {
        "reason": "Moderate drawdown; holding for mean reversion.",
        "symbol": "MNDI_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Stop loss: Position is down over 10% and has failed to revert since entry on March 1st.",
        "symbol": "PZC_CFD.UK"
      },
      {
        "reason": "Take profit: Capitalizing on a rapid ~10% gain since entry to capture mean reversion.",
        "symbol": "AML_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "The strategy focuses on risk management and profit taking this period. We are closing PZC_CFD.UK due to continued drift lower (-10% loss) violating the mean reversion thesis. We are also taking profits on AML_CFD.UK after a sharp upside move (+10%) to lock in gains. No new candidates were provided for entry."
}
Selection logs
#793stage12026-03-23T18:17:34.640448+00:00
{
  "raw": {
    "id": "gen-1774289820-Okrp27RErT7uKfHB9bgT",
    "model": "google/gemini-3-pro-preview-20251117",
    "usage": {
      "cost": 0.070734,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.070734,
        "upstream_inference_prompt_cost": 0.022962,
        "upstream_inference_completions_cost": 0.047772
      },
      "total_tokens": 15462,
      "prompt_tokens": 11481,
      "completion_tokens": 3981,
      "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": 3836
      }
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\n  \"task\": \"stage1_universe_scan\",\n  \"region\": \"US\",\n  \"strategy\": {\n    \"key\": \"meanrev-v1\",\n    \"name\": \"Two-Stage LLM Mean-Reversion (Arena v1)\",\n    \"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\": 300",
          "refusal": null,
          "reasoning": "**Refining Strategy Selection**\n\nI'm zeroing in on the stock selection. My focus is on the \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy and its application of short-term mean reversion. I'm homing in on the 2-10 trading day horizon, working to pinpoint the optimal configuration of the stock selection rules.\n\n\n**Analyzing Selection Criteria**\n\nOkay, I'm now fully immersed in the selection rules. I am trying to formalize those rules into concrete selection criteria. I'm prioritizing the 1-day change metric, the MA distance indicators, and the volatility data to refine my stock screening. I'm building a system to weed out the binary/event-driven moves. I'm focusing on incorporating the sector diversification constraint.\n\n\n**Filtering Initial Candidates**\n\nI've just finished the initial screening. I've eliminated CRST_CFD.UK and CBG_CFD.UK due to high volatility and significant price changes indicative of event risk. I also removed IWG_CFD.UK. My initial focus is now on SPX_CFD.UK, JDW_CFD.UK, and DLN_CFD.UK for further analysis. The lack of sector data makes it tricky, but I'm inferring sector assignments based on company names to enforce the diversification rule.\n\n\n**Selecting Initial Targets**\n\nI've sifted through the candidates, zeroing in on promising mean reversion plays. I'm leaning toward SPX_CFD.UK and JDW_CFD.UK as potential shorts, given their recent rallies. I'm also considering MNG_CFD.UK and KGF_CFD.UK, as potential longs, based on the sharp drops. I'm keeping sector diversification in mind.\n\n\n**Identifying Ideal Candidates**\n\nI've just finished the initial screening. I'm focusing on stocks with strong mean reversion potential. Based on the 1-day change and volatility metrics, I've discarded the most extreme movers, such as CRST_CFD.UK and BTRW_CFD.UK. I am now evaluating the remaining candidates. My initial list of targets includes MNG_CFD.UK, KGF_CFD.UK, ABF_CFD.UK, LAND_CFD.UK and SPX_CFD.UK. I'm trying to balance opportunities across different sectors.\n\n\n**Finalizing Candidate Selections**\n\nI've carefully evaluated the candidates, refining my picks while prioritizing sector diversification and risk management. My final selections are SPX_CFD.UK (Engineering, short), ABF_CFD.UK (Food/Retail, long), LAND_CFD.UK (Property, long), MNG_CFD.UK (Financials, long), and INF_CFD.UK (Media, long), each representing distinct sectors and promising mean reversion opportunities.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I'm focusing on stocks demonstrating the strongest mean reversion signals, balancing the risk associated with larger price movements. I'm keeping an eye out for news that could affect the plays.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I've reassessed the sector allocations. I've decided to swap ATG, with its high volatility, for a different pick, balancing risk with the potential of a mean reversion play.\n\n\n**Revising Portfolio Selections**\n\nMy focus has shifted back to the final five. I've reassessed my sector allocations, aiming to balance risk. I'm swapping ATG, which showed high volatility, with the aim to enhance the quality of the strategy.\n\n\n**Evaluating Portfolio Adjustments**\n\nI'm now refining the selection again, focusing on the current market data. I am prioritizing stocks showing the strongest signals. My top picks remain the same, though I am closely monitoring the volatility, aiming to refine the allocation to enhance the overall portfolio performance.\n\n\n",
          "reasoning_details": [
            {
              "text": "**Refining Strategy Selection**\n\nI'm zeroing in on the stock selection. My focus is on the \"Two-Stage LLM Mean-Reversion (Arena v1)\" strategy and its application of short-term mean reversion. I'm homing in on the 2-10 trading day horizon, working to pinpoint the optimal configuration of the stock selection rules.\n\n\n**Analyzing Selection Criteria**\n\nOkay, I'm now fully immersed in the selection rules. I am trying to formalize those rules into concrete selection criteria. I'm prioritizing the 1-day change metric, the MA distance indicators, and the volatility data to refine my stock screening. I'm building a system to weed out the binary/event-driven moves. I'm focusing on incorporating the sector diversification constraint.\n\n\n**Filtering Initial Candidates**\n\nI've just finished the initial screening. I've eliminated CRST_CFD.UK and CBG_CFD.UK due to high volatility and significant price changes indicative of event risk. I also removed IWG_CFD.UK. My initial focus is now on SPX_CFD.UK, JDW_CFD.UK, and DLN_CFD.UK for further analysis. The lack of sector data makes it tricky, but I'm inferring sector assignments based on company names to enforce the diversification rule.\n\n\n**Selecting Initial Targets**\n\nI've sifted through the candidates, zeroing in on promising mean reversion plays. I'm leaning toward SPX_CFD.UK and JDW_CFD.UK as potential shorts, given their recent rallies. I'm also considering MNG_CFD.UK and KGF_CFD.UK, as potential longs, based on the sharp drops. I'm keeping sector diversification in mind.\n\n\n**Identifying Ideal Candidates**\n\nI've just finished the initial screening. I'm focusing on stocks with strong mean reversion potential. Based on the 1-day change and volatility metrics, I've discarded the most extreme movers, such as CRST_CFD.UK and BTRW_CFD.UK. I am now evaluating the remaining candidates. My initial list of targets includes MNG_CFD.UK, KGF_CFD.UK, ABF_CFD.UK, LAND_CFD.UK and SPX_CFD.UK. I'm trying to balance opportunities across different sectors.\n\n\n**Finalizing Candidate Selections**\n\nI've carefully evaluated the candidates, refining my picks while prioritizing sector diversification and risk management. My final selections are SPX_CFD.UK (Engineering, short), ABF_CFD.UK (Food/Retail, long), LAND_CFD.UK (Property, long), MNG_CFD.UK (Financials, long), and INF_CFD.UK (Media, long), each representing distinct sectors and promising mean reversion opportunities.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I'm focusing on stocks demonstrating the strongest mean reversion signals, balancing the risk associated with larger price movements. I'm keeping an eye out for news that could affect the plays.\n\n\n**Refining Candidate Selection**\n\nI'm now carefully re-evaluating the candidate list, prioritizing the 5-stock limit and sector diversification. I've reassessed the sector allocations. I've decided to swap ATG, with its high volatility, for a different pick, balancing risk with the potential of a mean reversion play.\n\n\n**Revising Portfolio Selections**\n\nMy focus has shifted back to the final five. I've reassessed my sector allocations, aiming to balance risk. I'm swapping ATG, which showed high volatility, with the aim to enhance the quality of the strategy.\n\n\n**Evaluating Portfolio Adjustments**\n\nI'm now refining the selection again, focusing on the current market data. I am prioritizing stocks showing the strongest signals. My top picks remain the same, though I am closely monitoring the volatility, aiming to refine the allocation to enhance the overall portfolio performance.\n\n\n",
              "type": "reasoning.text",
              "index": 0,
              "format": "google-gemini-v1"
            },
            {
              "data": 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",
              "type": "reasoning.encrypted",
              "index": 1,
              "format": "google-gemini-v1"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "MAX_TOKENS"
      }
    ],
    "created": 1774289820,
    "provider": "Google",
    "system_fingerprint": null
  }
}