Linear perpetual (paper default)v0.3.0PAPER READY

K-Trend Rider

Replace trendMa calculation from ta.sma to ta.ema with same period 200. The EMA responds faster to trend changes while maintaining smoothness, potentially improving exit timing and reducing lag in trend reversal detection.

4HHyperliquid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 / timeframexyz:SKHX · 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

Period141 days

Total return+97.84%

Max drawdown18.19%

Trades9

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

Annualized return+97.84%

Sharpe ratio3.14

Detail curve · 4h samplingK-Trend RiderNormalized baseline

DATA PERIOD2026-02-19 — 2026-07-11

Minara public Marketplace API (third-party, pending QuantElse replay)
ohlcv · 4h · 240 samples
2026-07-11T00:00:00Z · 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

2026-02-19 — 2026-07-11+97.84%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': 'ema-trend-1', 'source_type': 'system', 'role': 'alpha', 'name': 'EMA 趋势方向', 'summary': '用快慢 EMA 和收盘位置输出连续多空方向。', 'catalog_slug': None, 'catalog_version': None, 'system_template_id': 'system-ema-trend', 'kind': 'trend', 'signal_definition': None, 'symbol': 'xyz:SKHX', '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-1784285655555-5gr88j', 'origin_version': '0.3.0', 'system_default': False}]}

third_party_migration{'source_platform': 'Minara', 'published_strategy_id': 'pub_1784285655555_5gr88j', 'source_url': 'https://minara.ai/zh/app/strategy/detail/pub_1784285655555_5gr88j', 'source_claims': 'self_reported', 'curve_replace_required': True}

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

K-Trend Rider

Why it might work

Evidence used to compare strategies

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