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Operating Strategy Performance

Operating Strategy Performance

Compares paper/live-paper realized performance for Quant, Hybrid, Agent, and MLOps validation strategies against benchmarks over the same period.

Performance Audit Readout

Read post-cost stability before win rate

Performance is an audit screen, not an approval screen. Read cost, drawdown, and sample size together.

Primary basis

Post-cost P&L

A high win rate is not a candidate if post-cost P&L is negative.

Risk

Drawdown

Read max drawdown with profit factor.

Trust

Sample size

Small samples remain observation-only.

Model ValidationPerformance CompareModel Operations

Model Validation

Shadow/Paper gate

Review shadow evidence and paper gate lock status, not an executable service.

Performance Compare

Benchmark Compare

Compare operating strategy PnL against BTC, ETH, and SOL benchmarks over the same period.

Model Operations

Model and Data Status

Check whether scoring, table freshness, and active model status are healthy.

Market Data Guide

Indicator guide

View all
CVD 보는 법미결제약정 OI청산 데이터펀딩비롱숏비율데이터 신뢰도
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Operating Strategy Performance

Compares paper/live-paper realized performance for Quant, Hybrid, Agent, and MLOps validation strategies against benchmarks over the same period.

Visible strategies

Reference benchmark

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Top strategy

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Selected benchmark

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Evaluation period

Since May 3

paper/live-paper basis

Reference benchmark

BTC / ETH / SOL

3/3 symbols

Pre-live performance audit

Reviews post-fee net P&L, profit factor, drawdown, and sample size together instead of win rate alone. This panel is observational and does not imply live connection or threshold changes.

Approval under reviewBlocked reason existsBasis 2026-05-28 UTCPaper/live disabledPaper-gated candidate blocked1x cost 10bps2x stress 20bps

Cumulative Performance Trend

Compares strategy equity curves and benchmark cumulative returns on the same timeline. Hover a line to emphasize that model.

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Chart legend

QuantA rule-based validation strategy. It records paper-fund entries and exits when price, flow, and risk conditions pass.
Strategy
HybridA strategy that combines quantitative signals with additional decision logic, used as a more selective comparison group.
Strategy
AgentAn agent-driven operating strategy that combines market state and strategy conditions. Depending on config, it records dry-run or live-paper decisions.
Strategy
MLOps ShadowA shadow strategy based on model scores and operational quality metrics, used to compare how model operations affect trading outcomes.
Strategy
Strategy lines are equity curves from realized closed-trade P&L accumulated on paper fund principal; benchmark lines are price-based cumulative returns over the same period.
StrategyReturn on principalExcess returnRealized P&LWin rateTradesRecent MDDData coverage
QuantA rule-based validation strategy. It records paper-fund entries and exits when price, flow, and risk conditions pass.
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HybridA strategy that combines quantitative signals with additional decision logic, used as a more selective comparison group.
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AgentAn agent-driven operating strategy that combines market state and strategy conditions. Depending on config, it records dry-run or live-paper decisions.
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MLOps ShadowA shadow strategy based on model scores and operational quality metrics, used to compare how model operations affect trading outcomes.
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Research-only

Strategy return uses realized P&L from the CoinWhale paper fund, while benchmark return uses BTC/ETH/SOL market price returns. This is an operating validation comparison, not actual investment performance.