Linear perpetual (paper default)v0.3.0PAPER READY

K-SuperTrend MACD

Add a higher-timeframe trend filter using a 200-period EMA on close. Only allow long entries when close > EMA200 and short entries when close < EMA200. This should filter out counter-trend trades that contribute to the low 34% win rate, improving netPnl by reducing whipsaw losses in ranging or counter-trend conditions while keeping the existing ST+MACD momentum logic intact.

BTCHyperliquid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 / timeframeBTC/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
Period180 days
Total return+26.89%
Max drawdown20.24%
Trades155
Risk-adjusted metricsOnly fields included in this published result are shown.
Annualized return+54.53%
Sharpe ratio0.54
Interactive backtestHover or use the arrow keys to inspect each sample
117.8108.599.1989.8980.592025-12-122026-01-262026-03-122026-04-262026-06-10
Detail curve · 1h samplingK-SuperTrend MACDNormalized baseline
DATA PERIOD2025-12-12 — 2026-06-10

Minara public Marketplace API (third-party, pending QuantElse replay)
ohlcv · 1h · 240 samples
2026-06-10T00:00:00Z · 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
  • 2025-12-12 — 2026-06-10+26.89%Minara public Marketplace API (third-party, pending QuantElse replay)

Historical results do not guarantee future performance.