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Performance Report

June 5, 2026 · QTI-20260605-001

Executive Summary

As of June 5, 2026
Total Strategies
0
0 healthy · 0 retired
Active Rate
0%
healthy + warning / total
Top Performer
+11.14%
mean_reversion_only
Best Sharpe Ratio
0.45
breakout_only

This report summarizes the current state of the Quanti strategy portfolio, comprising 0 algorithmic trading strategies deployed across stocks (JP/US), foreign exchange, and digital assets. The portfolio uses a continuous health monitoring framework with automatic weight adjustment and ensemble attribution.

Strategy Health Distribution

0
healthy
Strategy Health
0 strategies tracked
Healthy
0
Warning
0
Degraded
0
Dormant
0
Retired
0
State Definitions
Healthy0
Rolling Sharpe ≥ 0.5, drawdown ≥ -10%、 ensemble weight 1.0×
Warning0
単一 metric が threshold 抵触、 監視継続、 weight 1.0×
Degraded0
Sharpe < 0 AND drawdown < -15%、 weight 0.5× に減縮
Dormant0
30+ 日 fire 無し、 data source 障害可能性、 weight 0.3×
Retired0
Drawdown < -30% or 60+ 日 silence、 ensemble から除外

Top Performing Strategies

RankStrategyStatusSharpeDrawdownWin %Weight
No strategy data

Backtest Highlights

VariantDatasetReturnSharpeMax DDTrades
mean_reversion_onlyreal_3markets_2022_2024_WITH_EQUITY+11.14%0.31-3.4%11
mean_reversion_onlyreal_3markets_2022_2024_REGIME+11.14%0.31-3.4%11
mean_reversion_onlyreal_4markets_2022_2024+11.14%0.31-3.4%11
breakout_onlyreal_3markets_2022_2024_WITH_EQUITY+10.38%0.29-3.8%14
breakout_onlyreal_3markets_2022_2024_REGIME+10.38%0.29-3.8%14

Methodology

Strategy zoo (83): A diversified catalog of academic and practitioner strategies spanning technical indicators (23), fundamental factor models (16), event/catalyst signals (7), sentiment indicators (10), FX and macro (10), crypto-specific (10), and US equity-specific (10) plugins.

Walk-forward validation: Each strategy is evaluated on a rolling out-of-sample window using historical price data from yfinance (US/JP large-cap), Binance (crypto), and J-Quants v2 (JP all-cap with dividend adjustment).

Continuous re-evaluation: Strategies are auto-demoted through five health states (healthy → warning → degraded → dormant → retired) based on rolling Sharpe, drawdown, win rate, and fire-frequency metrics. State transitions are logged with full audit trail.

Ensemble weighting: The orchestrator applies weight multipliers based on current health state (Healthy 1.0×, Warning 1.0×, Degraded 0.5×, Dormant 0.3×, Retired 0×), reducing exposure to underperforming signals while preserving diversification.

Disclaimer

This report is generated by the Quanti research platform for informational purposes only. Past performance is not indicative of future results. Backtest results assume idealized execution and do not account for slippage, transaction costs, or taxation. Strategies marked "retired" or "degraded" should not be considered actionable. The information contained herein does not constitute investment advice and should not be relied upon for trading decisions.

Report ID: QTI-20260605-001 · Generated June 5, 2026