Linear perpetual (paper default)v0.3.0PAPER READY

K-ETH 自适应趋势策略

基于双EMA交叉判断趋势方向,叠加Kaufman效率比过滤器过滤震荡行情,只在趋势明确时持仓,做多做空双向,固定杠杆。震荡市场自动空仓规避。

4HETHHyperliquid实验波段趋势高波动

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 · 4h

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

Period364 days

Total return+31.20%

Max drawdown19.60%

Trades86

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

Annualized return+31.20%

Sharpe ratio0.66

Detail curve · 4h samplingK-ETH 自适应趋势策略Normalized baseline

DATA PERIOD2025-08-07 — 2026-08-06

Minara public Marketplace API (third-party, pending QuantElse replay)
ohlcv · 4h · 240 samples
2026-08-07T00:00:00Z · 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

2025-08-07 — 2026-08-06+31.20%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': '4h', '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-1786062620896-6433ha', 'origin_version': '0.3.0', 'system_default': False}]}

third_party_migration{'source_platform': 'Minara', 'published_strategy_id': 'pub_1786062620896_6433ha', 'source_url': 'https://minara.ai/zh/app/strategy/detail/pub_1786062620896_6433ha', 'source_claims': 'self_reported', 'curve_replace_required': True}

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

K-ETH 自适应趋势策略

Why it might work

Evidence used to compare strategies

Related strategies

BTC Low-Volatility Range Grid

ETH Volatility Range Grid

BTC Dual-Moving-Average Trend