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lookback window used to estimate dollar ADV.","execution_days_cap":"Maximum number of trading days allowed to work a rebalance for the heuristic capacity estimate.","median_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the heuristic median capacity.","median_capacity_usd":"Median rebalance-level portfolio size supported by the heuristic liquidity rule.","method":"Heuristic capacity method identifier.","p25_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the heuristic 25th percentile capacity.","p25_capacity_usd":"25th percentile rebalance-level heuristic capacity; a more conservative liquidity figure.","participation_rate":"Assumed fraction of each traded name's trailing ADV that can be executed per day.","rebalance_observations":"Number of rebalances contributing to the heuristic capacity estimate.","worst_rebalance_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the tightest heuristic rebalance capacity.","worst_rebalance_capacity_usd":"Tightest rebalance-level heuristic capacity observed in the sample."},"p25_capacity_estimated_impact_bps":68.9614350794941,"p25_capacity_usd":56352432.18793123,"participation_rate":0.01,"rebalance_observations":156,"worst_rebalance_capacity_estimated_impact_bps":42.55984705703538,"worst_rebalance_capacity_usd":21463483.122335054},"impact_model_capacity":{"current_portfolio_size_usd":1000000.0,"current_size_vs_median_capacity":0.008434468173751175,"current_worst_name_impact_bps_max":272.32633272165987,"current_worst_name_impact_bps_median":7.104484233883598,"current_worst_name_impact_bps_p75":26.5889927221049,"execution_delay_risk_coef":0.25,"execution_max_days":3,"execution_overflow_penalty_bps":500.0,"execution_participation_rate":0.01,"max_allowed_single_name_impact_bps":100.0,"median_capacity_estimated_impact_bps":100.02788959497379,"median_capacity_usd":118561120.79622164,"method":"square_root_impact_limit","metric_explanations":{"current_portfolio_size_usd":"Portfolio size used for current-size impact diagnostics.","current_size_vs_median_capacity":"Ratio of the configured current portfolio size to the median impact-consistent capacity.","current_worst_name_impact_bps_max":"Maximum modeled worst-name impact, in basis points, at the configured current portfolio size.","current_worst_name_impact_bps_median":"Median modeled worst-name impact, in basis points, at the configured current portfolio size across rebalances.","current_worst_name_impact_bps_p75":"75th percentile modeled worst-name impact, in basis points, at the configured current portfolio size.","execution_delay_risk_coef":"Multiplier on volatility risk accumulated while an order is worked.","execution_max_days":"Maximum number of days available to work each rebalance trade.","execution_overflow_penalty_bps":"Penalty applied to order value that cannot fit inside the participation and execution-day limits.","execution_participation_rate":"Maximum fraction of trailing ADV targeted per execution 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using current SEC SIC-derived sectors. Portfolio sector weights are compared with equal-weight eligible-universe sector weights on each rebalance.","metric_explanations":{"average_effective_sector_count":"Diversification proxy equal to 1/HHI of mapped portfolio sector weights; higher means more even sector spread.","average_mapped_portfolio_weight_ratio":"0 to 1. Average fraction of portfolio weight covered by the sector map.","average_mapped_universe_name_ratio":"0 to 1. Average fraction of eligible universe names covered by the sector map.","average_max_sector_abs_deviation":"Average largest single-sector overweight or underweight versus the eligible universe.","average_portfolio_sector_count":"Average number of mapped sectors represented in the portfolio on a rebalance date.","average_sector_active_share":"0 to 1. Average sector mismatch versus the equal-weight eligible universe; lower is more sector-neutral.","average_universe_sector_count":"Average number of mapped sectors represented in the eligible universe on a rebalance date.","best_rebalance_date":"Date with the lowest sector active share.","best_sector_active_share":"Lowest sector active share seen on any included rebalance date.","median_sector_active_share":"Median per-rebalance sector active share; less sensitive to outlier dates than the average.","rebalance_observations":"Number of rebalance dates included in the sector-neutrality estimate.","top_average_portfolio_sectors":"Largest average mapped portfolio sector weights across included rebalance dates.","top_average_sector_overweights":"Largest average positive portfolio-minus-universe sector tilts.","top_average_sector_underweights":"Largest average negative portfolio-minus-universe sector tilts.","top_average_universe_sectors":"Largest average equal-weight eligible-universe 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lookback window used to estimate dollar ADV.","execution_days_cap":"Maximum number of trading days allowed to work a rebalance for the heuristic capacity estimate.","median_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the heuristic median capacity.","median_capacity_usd":"Median rebalance-level portfolio size supported by the heuristic liquidity rule.","method":"Heuristic capacity method identifier.","p25_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the heuristic 25th percentile capacity.","p25_capacity_usd":"25th percentile rebalance-level heuristic capacity; a more conservative liquidity figure.","participation_rate":"Assumed fraction of each traded name's trailing ADV that can be executed per day.","rebalance_observations":"Number of rebalances contributing to the heuristic capacity estimate.","worst_rebalance_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the tightest heuristic rebalance capacity.","worst_rebalance_capacity_usd":"Tightest rebalance-level heuristic capacity observed in the sample."},"p25_capacity_estimated_impact_bps":92.22541793186824,"p25_capacity_usd":22217692.061964262,"participation_rate":0.01,"rebalance_observations":36,"worst_rebalance_capacity_estimated_impact_bps":82.14111348574767,"worst_rebalance_capacity_usd":17624583.015744302},"impact_model_capacity":{"current_portfolio_size_usd":1000000.0,"current_size_vs_median_capacity":0.03828041492380073,"current_worst_name_impact_bps_max":52.764605687140566,"current_worst_name_impact_bps_median":9.325375672752894,"current_worst_name_impact_bps_p75":11.545464541329135,"execution_delay_risk_coef":0.25,"execution_max_days":3,"execution_overflow_penalty_bps":500.0,"execution_participation_rate":0.01,"max_allowed_single_name_impact_bps":100.0,"median_capacity_estimated_impact_bps":100.00295706053666,"median_capacity_usd":26123018.83327427,"method":"square_root_impact_limit","metric_explanations":{"current_portfolio_size_usd":"Portfolio size used for current-size impact diagnostics.","current_size_vs_median_capacity":"Ratio of the configured current portfolio size to the median impact-consistent capacity.","current_worst_name_impact_bps_max":"Maximum modeled worst-name impact, in basis points, at the configured current portfolio size.","current_worst_name_impact_bps_median":"Median modeled worst-name impact, in basis points, at the configured current portfolio size across rebalances.","current_worst_name_impact_bps_p75":"75th percentile modeled worst-name impact, in basis points, at the configured current portfolio size.","execution_delay_risk_coef":"Multiplier on volatility risk accumulated while an order is worked.","execution_max_days":"Maximum number of days available to work each rebalance trade.","execution_overflow_penalty_bps":"Penalty applied to order value that cannot fit inside the participation and execution-day limits.","execution_participation_rate":"Maximum fraction of trailing ADV targeted per execution day.","max_allowed_single_name_impact_bps":"Maximum tolerated modeled impact, in basis points, for the worst traded name on a rebalance.","median_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the impact-model median capacity.","median_capacity_usd":"Median rebalance-level portfolio size supported by the impact limit.","method":"Impact-based capacity method identifier.","p25_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the impact-model 25th percentile capacity.","p25_capacity_usd":"25th percentile rebalance-level impact-consistent capacity.","rebalance_observations":"Number of rebalances contributing to the impact-based capacity estimate.","volume_impact_coef":"Square-root market-impact coefficient used in the impact model.","worst_rebalance_capacity_estimated_impact_bps":"Modeled worst-name impact, in basis points, at the tightest impact-model rebalance capacity.","worst_rebalance_capacity_usd":"Tightest rebalance-level 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Portfolio sector weights are compared with equal-weight eligible-universe sector weights on each rebalance.","metric_explanations":{"average_effective_sector_count":"Diversification proxy equal to 1/HHI of mapped portfolio sector weights; higher means more even sector spread.","average_mapped_portfolio_weight_ratio":"0 to 1. Average fraction of portfolio weight covered by the sector map.","average_mapped_universe_name_ratio":"0 to 1. Average fraction of eligible universe names covered by the sector map.","average_max_sector_abs_deviation":"Average largest single-sector overweight or underweight versus the eligible universe.","average_portfolio_sector_count":"Average number of mapped sectors represented in the portfolio on a rebalance date.","average_sector_active_share":"0 to 1. Average sector mismatch versus the equal-weight eligible universe; lower is more sector-neutral.","average_universe_sector_count":"Average number of mapped sectors represented in the eligible universe on a rebalance date.","best_rebalance_date":"Date with the lowest sector active share.","best_sector_active_share":"Lowest sector active share seen on any included rebalance date.","median_sector_active_share":"Median per-rebalance sector active share; less sensitive to outlier dates than the average.","rebalance_observations":"Number of rebalance dates included in the sector-neutrality estimate.","top_average_portfolio_sectors":"Largest average mapped portfolio sector weights across included rebalance dates.","top_average_sector_overweights":"Largest average positive portfolio-minus-universe sector tilts.","top_average_sector_underweights":"Largest average negative portfolio-minus-universe sector tilts.","top_average_universe_sectors":"Largest average equal-weight eligible-universe sector weights across included rebalance dates.","worst_rebalance_date":"Date with the highest sector active share.","worst_sector_active_share":"Highest sector active share seen on any included rebalance date."},"rebalance_observations":120,"status":"ok","top_average_portfolio_sectors":[{"name":"Information Technology","value":0.3710519669007036},{"name":"Consumer Discretionary","value":0.14845896806972605},{"name":"Industrials","value":0.14238150106012012},{"name":"Financials","value":0.10686912547998215},{"name":"Consumer Staples","value":0.05237641208425063}],"top_average_sector_overweights":[{"name":"Information Technology","value":0.2428974896773046},{"name":"Consumer Discretionary","value":0.06707665243140186},{"name":"Consumer Staples","value":0.01566103081519574},{"name":"Equity ETF","value":0.00258668042107174}],"top_average_sector_underweights":[{"name":"Materials","value":-0.08393484482117006},{"name":"Health Care","value":-0.07967618233574378},{"name":"Industrials","value":-0.05074801434069265},{"name":"Financials","value":-0.03098378276775315},{"name":"Utilities","value":-0.02983510362813593}],"top_average_universe_sectors":[{"name":"Industrials","value":0.19312951540081275},{"name":"Financials","value":0.1378529082477353},{"name":"Information Technology","value":0.12815447722339893},{"name":"Materials","value":0.10517163945401903},{"name":"Health Care","value":0.10026225214454218}],"worst_rebalance_date":"2018-09-04","worst_sector_active_share":0.5174325109840953}},"start":"2000-01-01","stats":{"alpha":0.1445648382259832,"annual_returns":{"2000":0.11181921445764598,"2001":0.2653671162007769,"2002":-0.18399617013684,"2003":0.7422032513810637,"2004":0.38936965829498993,"2005":0.3339462816011043,"2006":0.3082676572742864,"2007":0.572962210251778,"2008":-0.40141451465499955,"2009":0.7279161716312481,"2010":0.3733432867941613,"2011":0.019818944578436914,"2012":0.12680705564728667,"2013":0.4900836812123588,"2014":0.2783708143643142,"2015":-0.007001704777248374,"2016":0.2373897115506871,"2017":0.32716556472783176,"2018":0.020737958323129746,"2019":0.2533762471334482},"annualized_excess_return":0.154064289859663,"average_one_way_turnover_per_rebalance":0.07450891113419383,"average_two_way_turnover_per_rebalance":0.14901782226838767,"benchmark_beta":1.2038070206096676,"benchmark_corr":0.8967334768412871,"best_year":0.7422032513810637,"cagr":0.21549838318493442,"calmar":0.373699642188218,"excess_return_hac_lag":9.0,"excess_return_pvalue_hac":5.273939547596177e-10,"excess_return_tstat_hac":6.210728888844675,"information_ratio":1.2918574532530984,"max_dd":-0.576662000324839,"max_dd_duration_days":798,"rebalance_count":119.0,"rolling_sharpe_min":0.08319951221014059,"sharpe":0.8962248358231126,"total_return":47.71883889772697,"tracking_error":0.1192579641598267,"volatility":0.2548863779002797,"worst_rolling_3y_cagr":-0.026029677286061648,"worst_rolling_5y_cagr":0.07951708438134752,"worst_year":-0.40141451465499955},"windows":[{"end":"2005-01-01","label":"Regime 1 · 2000–2005","start":"2000-01-01"},{"end":"2010-01-01","label":"Regime 2 · 2005–2010","start":"2005-01-01"},{"end":"2015-01-01","label":"Regime 3 · 2010–2015","start":"2010-01-01"},{"end":"2020-01-01","label":"Regime 4 · 2015–2020","start":"2015-01-01"}]}},"schema_version":1,"stats":{"cagr":0.1875,"max_dd":-0.5407,"sharpe":0.83},"stats_backtest":{"cagr":0.195,"max_dd":-0.5407,"sharpe":0.85},"strategy_id":"gen0194"}