Logótipo de "Golden Hour Sweep Hunter"
Golden Hour Sweep Hunter
cBot
Testado no(a) Pepperstone
Versão 1.0, Feb 2026
Windows, Mac, Mobile, Web
1.3
Fator de lucro
51.87%
Decréscimo máx.
Imagem carregada de "Golden Hour Sweep Hunter"
Desde 25/02/2026
Sobre a versão experimental
Trial version has limited trades per day.

Golden Hour Sweep Hunter is a confluence-based reversal cBot designed to catch “sweep and reclaim” moves around recent fractal support and resistance, then manage the position with strict risk sizing and optional scale-out protection.

It looks for price to briefly break a nearby fractal level (liquidity sweep), then close back through the level (reclaim). Trades can be filtered by higher-timeframe direction, volatility extremes, and momentum shift to avoid low-quality entries.


Core idea

Structure first, confirmation second.
Fractals define nearby market structure. Entries trigger only after a sweep and reclaim, optionally aligned with H4 trend and confirmed by Bollinger extremes plus MACD histogram improvement.


How it trades

Entry logic (sweep + reclaim)

  • Buy when price sweeps below the nearest fractal low then closes back above it
  • Sell when price sweeps above the nearest fractal high then closes back below it

Quality filters (optional)

  • Tick-volume filter: trades only when tick volume is above its 20-period SMA
  • H4 trend filter: only buy above H4 EMA, only sell below H4 EMA
  • Bollinger Bands filter: requires an “extreme” touch (upper band for sells, lower band for buys)
  • MACD filter: requires histogram momentum shift in the trade direction

Risk and trade management

  • Equity-based risk sizing: position volume is calculated from your Risk % and stop distance
  • ATR-buffered stop loss: SL includes a 0.5 ATR volatility buffer with a minimum SL floor
  • Reward ratio take profit: TP is set as SL multiplied by Reward Ratio
  • Optional scaling (profit protection): at a chosen R multiple, the bot:
    • moves SL to breakeven (plus 1 pip)
    • closes 50% of the position to bank profit


Inputs you can control

  • Trading window: Start Hour / End Hour (UTC)
  • Risk: Risk %, Reward Ratio
  • Filters: H4 trend, Bollinger Bands, MACD
  • Structure sensitivity: Fractal Strength
  • H4 filter: H4 EMA Period
  • Scaling: Use Scaling, Scale Out R


Backtest snapshot (example, not a guarantee)

From your screenshot: EURUSD, M15, tested 29/06/2023 to 18/02/2025 with a 1-hour trading window (UTC) and all filters enabled.

  • Net profit: 71.98 (starting capital 200, ending equity 271.98)
  • Profit factor: 1.30
  • Total trades: 7 (wins: 3, losses: 4)
  • Max equity drawdown: 53.18%
  • Note: results skewed toward shorts in this run (shorts outperformed, longs underperformed)

This bot is highly sensitive to parameters (session window, fractal strength, R:R, and filters). Always forward-test on demo and adjust per symbol and broker conditions.


Who this is for

Traders who want a structured reversal system that waits for confirmation, sizes risk automatically, and can secure profits with scaling rather than letting winners turn into “almost-winners.”

Sobre a versão experimental
Trial version has limited trades per day.
Perfil de negociação
0.0
Avaliações: 0
Avaliações de clientes
Ainda não há avaliações para este produto. Já o experimentou? Seja o primeiro a contar a outras pessoas!
ATR
MACD
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