Pulse TIck Reactor DreamProfitFX
Логотип продукта "Pulse TIck Reactor DreamProfitFX"
20/08/2025
2
Desktop, Mobile, Web
С 13/03/2025
Продажи
2
Бесплатные установки
95
Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"Загруженное изображение продукта "Pulse TIck Reactor DreamProfitFX"
  • Raw Tick Data Engine
    No textbook indicators. This bot reacts directly to tick-by-tick microstructure — speed, momentum bursts, and liquidity sweeps. Trades come from raw market pulse, not lagging averages.
  • Adaptive Intelligence
    It doesn’t stay rigid. Performance-based learning adjusts entry filters, risk thresholds, and trade frequency dynamically. If win-rate drops, it tightens. If the edge is strong, it scales up.
  • Multi-Timeframe Confluence
    Aligns raw tick momentum with M1 and M5 price drift. No random trades in noise — the bot waits for market agreement before striking.
  • Advanced Risk Controls
    • Portfolio-level weekly risk caps
    • Consecutive-loss cooldowns (with extended lockout)
    • Dynamic stop loss and take profit tuned to volatility, signal strength, and regime
    • Auto break-even & smart trailing logic to lock profits without choking trades
  • Market Regime Awareness
    Pulse Tick Reactor identifies trending, ranging, high-volatility, or dead-tape conditions and adapts its strategy to match. No more trading blindly into dead or chaotic markets.
  • Session Smart
    Trades only during the London and New York sessions — when spreads are tight and real money is moving.
  • Parameter optimized for EURUSD but you can optimize in cTrader for any pairs that you like


Test simulated using $1000 account with conservative risk management to match actual user's trading style instead of inflated account size and unproportionate lot size.

Test is done using TICK server data instead of m1 opening /closing price for precise backtest.

Backtest of more than 2 years to show robustness of the bot.

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