Logotipo de "ASRB - Adaptive Session Range Breakout"
cBot
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Versión 1.0, Dec 2025
Windows, Mac, Mobile, Web
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Imagen cargada de "ASRB - Adaptive Session Range Breakout"
Imagen cargada de "ASRB - Adaptive Session Range Breakout"
Imagen cargada de "ASRB - Adaptive Session Range Breakout"
32.3K
Instalaciones gratis

ASRB – Adaptive Session Range Breakout

ASRB is a session-based breakout strategy designed to trade only market expansion phases following a valid accumulation period.
Trades are executed exclusively on filtered, high-quality ranges and only when trend and volatility conditions justify participation.


Market Logic

  • Market phases: Accumulation → Expansion → Rebalancing
  • ASRB operates only during the expansion phase
  • Breakouts are taken only from validated session ranges, not from raw session highs/lows


Session Range Construction

  • Reference session: Asian Session
  • Time window: 00:00 – 06:00 UTC
  • Range calculation timeframe: M15

Calculated values:

  • Session High
  • Session Low
  • Session Range = High − Low

It only works on pairs that have 4 digits after the decimal point, such as EURUSD.


Filter 1 – Range Quality Filter

Purpose: eliminate low-quality noise and late moves.

  • Volatility reference: ATR(14) on H1
  • Valid range condition:

0.5 × ATR(H1) ≤ Session Range ≤ 2 × ATR(H1)


You can modify these thresholds using the parameters found in the “Session Management” group.

  • Below lower bound → insufficient accumulation (noise)
  • Above upper bound → move likely already exhausted

No trades are allowed outside this range.


Filter 2 – Trend Confirmation (Multi-Timeframe)

Purpose: enforce directional coherence with higher-timeframe structure.

  • Timeframe: H1
  • Indicators:
    • EMA 50
    • EMA 200

Directional rules:

  • Long only if:
    • EMA50 > EMA200
    • Price > EMA50
  • Short only if:
    • EMA50 < EMA200
    • Price < EMA50

The strategy trades one direction only, no hedging.


Filter 3 – Volatility Expansion Confirmation

Purpose: avoid false breakouts and low-participation moves.

  • Indicator: ATR(14) on M15
  • Condition:

Current ATR(M15) > Average ATR(M15) over last 20 bars

If volatility is not expanding, breakout signals are ignored.


Trade Activation Window

  • Trades allowed only between:

07:00 – 11:00 UTC

This window covers the London session and early London–NY overlap, where breakouts show higher follow-through.


Entry Logic

Long Setup

  • M15 candle closes above Session High
  • Breakout candle requirements:
    • Body ≥ 60% of candle range
    • Close above the level (no wick-only break)

Short Setup

  • Specular conditions:
    • M15 close below Session Low
    • Same candle structure and filters

The strategy executes only the initial breakout.
No continuation or re-entry trades are allowed.


Risk Management

Stop Loss


  • Structural SL:

SL = 0.5 × Session Range

Take Profit

Risk-based:

    • TP1 = 1R (partial close, 50%)
    • TP2 = 2R (full exit)


Break-Even Logic

  • When price reaches +1R (50% partial close)
  • Stop Loss is moved to entry price

    Use the “Close Partials + BE” parameter to enable or disable this setting.


Protection Filters

No trade execution if:

  • Spread > 1.5
  • One trade has already been executed for the day

The strategy enforces strict trade frequency control and avoids overtrading.


Key Characteristics

  • Single-entry breakout logic
  • Multi-timeframe context filtering
  • Volatility-confirmed execution
  • No grid, no martingale, no averaging
  • Inactivity during low-quality market conditions is intentional

Developed with AlgoBuilderX.


⚠️ Important Note
This cBot works only on demo accounts.

If you want to use it on a live account, you must:

  • Subscribe to algobuilderx(dot)com
  • Download the original project from the AlgoBuilderX Discord
  • Generate your own cBot from the project

This example is provided to demonstrate AlgoBuilderX functionality and as a starting point for building custom strategies.
Always test and optimize any strategy before using it on a real trading account.


🚀 Get Started

Create your cBot now in an easy and intuitive way!
👉 algobuilderx(dot)com

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