Linear perpetual (paper default)v0.3.0PAPER READY

K-Adaptive Cooldown Breakout

Extend the fixed 4-hour cooldown to a dynamic cooldown that doubles after each consecutive loss (4hr, 8hr, 16hr, capped at 24hr), resetting on a win. This behavioral adaptation prevents revenge-trading into persistent unfavorable regimes and allows volatility to normalize before re-entry.

ETHHyperliquid实验趋势高波动

Hosted coming soon ↗Export for local runtimeHosted feasibility is under review; only released Local support produces a runtime configuration

Strategy categoryK 策略迁移研究

Market / timeframeETH/USDC · 1h

Default riskHIGH

Current runtimeslocal

Strategy thesis

Why it might work

第三方公开时序研究的技术指标迁移草稿；待 QuantElse 使用原始行情复现。

Key risks

第三方自报回测，尚未由 QuantElse 复现。
永续合约含资金费、滑点、清算和交易所可用性风险。

Stop / invalidation conditions

原始规则或数据无法复现时停止发布为可运行版本。

Published backtest

Evidence used to compare strategies

Self-reported

Period1293 days

Total return+401.83%

Max drawdown39.32%

Trades468

Risk-adjusted metricsOnly fields included in this published result are shown.

Annualized return+113.34%

Sharpe ratio1.00

Detail curve · 1h samplingK-Adaptive Cooldown BreakoutNormalized baseline

DATA PERIOD2022-12-31 — 2026-07-17

Minara public Marketplace API (third-party, pending QuantElse replay)
ohlcv · 1h · 240 samples
2026-07-17T15:59:59Z · Public third-party claim; retain attribution and source terms.

BENCHMARK PROFILECatalog defaults

catalog-default-v1
model-based fees · model-based slippage

METHODOLOGY

Imported from Minara public Marketplace API; no QuantElse execution, fees, funding or slippage were recomputed.

LIMITATIONS

Third-party self-reported result; not independently verified.
Replace this curve after a native QuantElse backtest.

Published records

2022-12-31 — 2026-07-17+401.83%Minara public Marketplace API (third-party, pending QuantElse replay)

Historical results do not guarantee future performance.

Curve JSON →Aggregate JSON →

Default parameter space

fast_period20

slow_period50

signal_connectorquantelse.connector.hyperliquid-public

default_execution_route{'mode': 'paper', 'exchange': 'hyperliquid', 'market': 'linear_perpetual', 'connector_id': 'quantelse.connector.paper', 'account_ref': None, 'settlement_asset': 'USDC', 'margin_mode': 'isolated', 'position_mode': 'one_way', 'leverage': 1}

default_position_policy{'allow_short': True, 'reduce_only_on_exit': True, 'sizing_mode': 'signal_scaled', 'normalization_multiplier': 2.0, 'normalization_floor_ratio': 0.0}

composition{'schema_version': 1, 'combination_mode': 'weighted_average', 'signal_threshold': 0.05, 'quorum_ratio': 0.5, 'deadband': 0.05, 'children': [{'child_id': 'vwma-trend-1', 'source_type': 'system', 'role': 'alpha', 'name': 'VWMA 量价趋势', 'summary': '使用成交量加权均线区分多空趋势，减少无量波动影响。', 'catalog_slug': None, 'catalog_version': None, 'system_template_id': 'system-vwma-trend', 'kind': 'trend', 'signal_definition': None, 'symbol': 'ETH/USDC', 'timeframe': '1h', 'weight': 1.0, 'parameters': {'fast_period': 20, 'slow_period': 50}, 'parameter_schema': [{'id': 'fast_period', 'label': '快速 EMA', 'description': '用于捕捉较快价格方向。', 'value_type': 'integer', 'default': 20, 'minimum': 2.0, 'maximum': 500.0, 'step': 1.0, 'options': []}, {'id': 'slow_period', 'label': '慢速 EMA', 'description': '用于确认较慢市场趋势。', 'value_type': 'integer', 'default': 50, 'minimum': 3.0, 'maximum': 1000.0, 'step': 1.0, 'options': []}], 'origin_slug': 'k-pub-1784269633362-9r0bii', 'origin_version': '0.3.0', 'system_default': False}]}

third_party_migration{'source_platform': 'Minara', 'published_strategy_id': 'pub_1784269633362_9r0bii', 'source_url': 'https://minara.ai/zh/app/strategy/detail/pub_1784269633362_9r0bii', 'source_claims': 'self_reported', 'curve_replace_required': True}

These defaults describe the catalog entry. They do not bypass runtime validation or risk limits.

K-Adaptive Cooldown Breakout

Why it might work

Evidence used to compare strategies

Related strategies

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