Linear perpetual (paper default)v0.3.0PAPER READY

K-Balanced Factor V2

Balanced Factor V2는 단순한 매수·매도 전략이 아닌, Trend와 Momentum을 결합한 Composite Score를 기반으로 시장 레짐을 판단하는 전략입니다. 시장 환경에 따라 0%·50%·100%의 동적 노출을 적용하여 상승장에서는 추세를 추종하고, 불리한 시장에서는 자연스럽게 위험 노출을 줄이는 것을 목표로 설계되었습니다. 손절매 중심이 아닌 Market Regime, Exposure Control, Volatility Throttle을 활용하여 장기적으로 안정적인 위험조정수익률(Risk-Adjusted Return)을 추구합니다. 이 전략은 단기 수익률 극대화보다 자본 보존과 일관된 운용을 우선하는 Balanced Trend Following 전략입니다.

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:SP500 · 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
Period121 days
Total return+6.83%
Max drawdown1.42%
Trades10
Risk-adjusted metricsOnly fields included in this published result are shown.
Annualized return+6.83%
Sharpe ratio3.53
Interactive backtestHover or use the arrow keys to inspect each sample
107.0105.2103.4101.699.762026-03-182026-04-182026-05-182026-06-172026-07-18
Detail curve · 4h samplingK-Balanced Factor V2Normalized baseline
DATA PERIOD2026-03-18 — 2026-07-18

Minara public Marketplace API (third-party, pending QuantElse replay)
ohlcv · 4h · 240 samples
2026-07-18T06:09:39.987000Z · 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
  • 2026-03-18 — 2026-07-18+6.83%Minara public Marketplace API (third-party, pending QuantElse replay)

Historical results do not guarantee future performance.