Arena run #794

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": "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": "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": "SVT_CFD.UK", "name": "SEVERN TRENT PLC", "sector": "", "last_price": 3199.0, "change_1d_pct": 11.65794066317627, "distance_from_ma200_pct": 18.3531603549544, "distance_from_ma50_pct": 10.61991274616647, "volatility_20d_pct": 78.40757769219009, "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": "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": "TPK_CFD.UK", "name": "TRAVIS PERKINS PLC", "sector": "", "last_price": 601.57, "change_1d_pct": -1.21029986533977, "distance_from_ma200_pct": 0.5267641208837714, "distance_from_ma50_pct": -4.983077425595306, "volatility_20d_pct": 108.19399806448348, "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": "SYNT_CFD.UK", "name": "SYNTHOMER PLC", "sector": "", "last_price": 29.05, 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",
              "type": "reasoning.encrypted",
              "index": 1,
              "format": "google-gemini-v1"
            }
          ]
        },
        "logprobs": null,
        "finish_reason": "length",
        "native_finish_reason": "MAX_TOKENS"
      }
    ],
    "created": 1774208135,
    "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": "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": 248.02, "unrealized_pnl": -79.36881771078639, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "AML_CFD.UK", "qty": 81.25677139761646, "avg_price": 36.92, "last_price": 36.92, "unrealized_pnl": 0.0, "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": 1021.93, "unrealized_pnl": -115.9078080903106, "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": 1.5416238437821173, "avg_price": 1945.9999999999998, "last_price": 1832.5, "unrealized_pnl": -174.97430626926996, "opened_at": "2026-03-06T18:02:13.212382+00:00"}, {"symbol": "FICO_CFD.US", "qty": 2.6609662855571625, "avg_price": 1127.4099999999999, "last_price": 1128.58, "unrealized_pnl": 3.113330554102074, "opened_at": "2026-03-14T18:06:47.909233+00:00"}, {"symbol": "HAIN_CFD.US", "qty": 4761.9047619047615, "avg_price": 0.63, "last_price": 0.6, "unrealized_pnl": -142.85714285714297, "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": 808.6, "unrealized_pnl": -41.70731707317065, "opened_at": "2026-03-16T10:12:30.296045+00:00"}, {"symbol": "PZC_CFD.UK", "qty": 36.67481662591687, "avg_price": 81.8, "last_price": 77.7, "unrealized_pnl": -150.36674816625896, "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"}}

{
  "actions": {
    "buy": [],
    "hold": [
      {
        "reason": "Hold for mean reversion; drawdown within tolerance.",
        "symbol": "ADBE_CFD.US"
      },
      {
        "reason": "Recently opened position; hold.",
        "symbol": "AML_CFD.UK"
      },
      {
        "reason": "Hold for mean reversion.",
        "symbol": "BRBY_CFD.UK"
      },
      {
        "reason": "Hold for mean reversion.",
        "symbol": "BYIT_CFD.UK"
      },
      {
        "reason": "Position is profitable; hold.",
        "symbol": "FICO_CFD.US"
      },
      {
        "reason": "Recently opened position; hold.",
        "symbol": "HAIN_CFD.US"
      },
      {
        "reason": "Hold for mean reversion.",
        "symbol": "ICG_CFD.UK"
      },
      {
        "reason": "Hold for mean reversion.",
        "symbol": "MNDI_CFD.UK"
      },
      {
        "reason": "Hold for mean reversion.",
        "symbol": "PZC_CFD.UK"
      }
    ],
    "sell": [
      {
        "reason": "Portfolio leverage (~3.15x) exceeds maximum allowed (3.0x) due to equity drawdown. Selling position with largest unrealized loss to reduce leverage.",
        "symbol": "CCL_CFD.UK"
      }
    ]
  },
  "portfolio_rationale": "The portfolio currently holds 10 positions (maximum capacity). Due to unrealized losses, the effective gross leverage has risen to approximately 3.15x, exceeding the 3.0x constraint. We are liquidating CCL_CFD.UK (largest unrealized loss) to bring leverage back to safe levels (~2.8x). No new buy candidates were provided, so no buy actions are taken."
}

{
  "raw": {
    "id": "gen-1774208135-GOQLGHxVITiN6BDvMkAL",
    "model": "google/gemini-3-pro-preview-20251117",
    "usage": {
      "cost": 0.070688,
      "is_byok": false,
      "cost_details": {
        "upstream_inference_cost": 0.070688,
        "upstream_inference_prompt_cost": 0.022904,
        "upstream_inference_completions_cost": 0.047784
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      "total_tokens": 15434,
      "prompt_tokens": 11452,
      "completion_tokens": 3982,
      "prompt_tokens_details": {
        "audio_tokens": 0,
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        "reasoning_tokens": 3836
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    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "{\n  \"selected_stocks\": [\n    {\n      \"symbol\": \"SVT_CFD.UK\",\n      \"mean_reversion_score\": 88,\n      \"selection_reason\": \"Significant 1D price spike (+11.7%) and extended 18% above MA200, suggesting mean reversion pullback potential.\"\n    },\n    {\n      \"symbol\": \"SPX_CFD.UK\",\n      \"mean_reversion_score\": 85,\n      \"selection_reason\": \"Large 1D move (+10.9%) with price 15.9% above MA200; technical",
          "refusal": null,
          "reasoning": "**Contemplating Stock Selection**\n\nI'm now zeroing in on the task of picking the 5 stocks. The core strategy is mean reversion, specifically the \"Two-Stage LLM Mean-Re version (Arena v1).\" My current focus is on the selection rules: 2-10 day horizon and the goal of short-term mean reversion. I'm starting to consider how to best implement these rules for optimal results.\n\n\n**Examining Potential Candidates**\n\nI'm now carefully sifting through the data on these potential stocks. I'm taking a close look at the daily price movements, particularly those with significant percentage changes, positive or negative, to identify promising candidates for mean reversion. I'm keeping in mind the need to avoid stocks with earnings announcements within five days.\n\n\n**Selecting Suitable Candidates**\n\nI've now analyzed the provided data, and I'm discarding stocks with major price swings, most of which are likely due to events. I'm focusing on candidates with solid potential for mean reversion, such as SPX, SVT, and LIO. Sector constraints and earnings announcements are top of mind during final selection.\n\n\n**Narrowing the Field**\n\nI'm now carefully examining the data to weed out unsuitable candidates. Stocks with large one-day moves, like those experiencing a -20% or +50% swing, are immediately removed from consideration, as they are likely event-driven. I'm focusing on those with more modest movements and looking at the distribution relative to moving averages to help determine candidates. I'm prioritizing candidates with reversion potential.\n\n\n**Prioritizing Potential Trades**\n\nI am now focusing on the final selections, having identified candidates with the best reversion potential. My top picks are SPX, SVT, and AAF, representing the Engineering/Industrial, Utilities, and Telecom sectors, respectively. I am considering potential short positions for these given their sharp upward movements. I'm reviewing the relative performance, and sector-based constraints to finalize the picks.\n\n\n**Finalizing Stock Selections**\n\nHaving filtered out the volatile and event-driven stocks, I'm now making the final selections. Based on the analysis, I'm choosing SPX (Engineering), SVT (Utilities), and AAF (Telecom) for short positions, targeting mean reversion. For the long candidates, LRE (Insurance) and III (Private Equity) are also viable. Sector and overextension considerations helped determine the choices.\n\n\n**Revising Portfolio Selections**\n\nHaving gone through the final data and assessing each candidate, I am making a few crucial adjustments to my initial selections. I've decided to replace OSB, and AAL with LRE (Insurance) and III (Private Equity) to better represent a balanced mix of \"short\" and \"long\" candidates and to mitigate any sector overlap. I am sticking with SPX, SVT, and AAF as \"short\" candidates.\n\n\n**Confirming Final Selections**\n\nHaving done the final checks, including the sector constraints and earnings date exclusions, I've confirmed my portfolio. My strategy focuses on mean reversion: I'm shorting SVT, SPX, AAF, and JDW, and going long LRE. The sector diversification seems adequate, and no known earnings events within five days exist.\n\n\n**Confirming Selections & Adjustments**\n\nI've reviewed the data, taking into account sectors and earnings. Based on the analysis, I've confirmed my initial picks, but made a few critical changes. I'm swapping out OSB and AAL with LRE and III, to better balance the portfolio with both long and short candidates and to avoid any sector overlap. SVT, SPX, and AAF remain my short selections.\n\n\n**Refining the Choices**\n\nI'm now carefully examining the data and have zeroed in on the top contenders and am thinking through the portfolio structure. Having considered the mean reversion potential of various candidates, I am now leaning toward a mix of both \"short\" and \"long\" positions. The final portfolio selection is coming together nicely, incorporating both sector diversification and the goal of capturing mean reversion opportunities.\n\n\n",
          "reasoning_details": [
            {
              "text": "**Contemplating Stock Selection**\n\nI'm now zeroing in on the task of picking the 5 stocks. The core strategy is mean reversion, specifically the \"Two-Stage LLM Mean-Re version (Arena v1).\" My current focus is on the selection rules: 2-10 day horizon and the goal of short-term mean reversion. I'm starting to consider how to best implement these rules for optimal results.\n\n\n**Examining Potential Candidates**\n\nI'm now carefully sifting through the data on these potential stocks. I'm taking a close look at the daily price movements, particularly those with significant percentage changes, positive or negative, to identify promising candidates for mean reversion. I'm keeping in mind the need to avoid stocks with earnings announcements within five days.\n\n\n**Selecting Suitable Candidates**\n\nI've now analyzed the provided data, and I'm discarding stocks with major price swings, most of which are likely due to events. I'm focusing on candidates with solid potential for mean reversion, such as SPX, SVT, and LIO. Sector constraints and earnings announcements are top of mind during final selection.\n\n\n**Narrowing the Field**\n\nI'm now carefully examining the data to weed out unsuitable candidates. Stocks with large one-day moves, like those experiencing a -20% or +50% swing, are immediately removed from consideration, as they are likely event-driven. I'm focusing on those with more modest movements and looking at the distribution relative to moving averages to help determine candidates. I'm prioritizing candidates with reversion potential.\n\n\n**Prioritizing Potential Trades**\n\nI am now focusing on the final selections, having identified candidates with the best reversion potential. My top picks are SPX, SVT, and AAF, representing the Engineering/Industrial, Utilities, and Telecom sectors, respectively. I am considering potential short positions for these given their sharp upward movements. I'm reviewing the relative performance, and sector-based constraints to finalize the picks.\n\n\n**Finalizing Stock Selections**\n\nHaving filtered out the volatile and event-driven stocks, I'm now making the final selections. Based on the analysis, I'm choosing SPX (Engineering), SVT (Utilities), and AAF (Telecom) for short positions, targeting mean reversion. For the long candidates, LRE (Insurance) and III (Private Equity) are also viable. Sector and overextension considerations helped determine the choices.\n\n\n**Revising Portfolio Selections**\n\nHaving gone through the final data and assessing each candidate, I am making a few crucial adjustments to my initial selections. I've decided to replace OSB, and AAL with LRE (Insurance) and III (Private Equity) to better represent a balanced mix of \"short\" and \"long\" candidates and to mitigate any sector overlap. I am sticking with SPX, SVT, and AAF as \"short\" candidates.\n\n\n**Confirming Final Selections**\n\nHaving done the final checks, including the sector constraints and earnings date exclusions, I've confirmed my portfolio. My strategy focuses on mean reversion: I'm shorting SVT, SPX, AAF, and JDW, and going long LRE. The sector diversification seems adequate, and no known earnings events within five days exist.\n\n\n**Confirming Selections & Adjustments**\n\nI've reviewed the data, taking into account sectors and earnings. Based on the analysis, I've confirmed my initial picks, but made a few critical changes. I'm swapping out OSB and AAL with LRE and III, to better balance the portfolio with both long and short candidates and to avoid any sector overlap. SVT, SPX, and AAF remain my short selections.\n\n\n**Refining the Choices**\n\nI'm now carefully examining the data and have zeroed in on the top contenders and am thinking through the portfolio structure. Having considered the mean reversion potential of various candidates, I am now leaning toward a mix of both \"short\" and \"long\" positions. The final portfolio selection is coming together nicely, incorporating both sector diversification and the goal of capturing mean reversion opportunities.\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": 1774208135,
    "provider": "Google",
    "system_fingerprint": null
  }
}