JKRapidFire

  • Experts
  • Shi Yuan Wang
    Shi Yuan Wang
    I write custom indicators, Expert Advisors (EAs), scripts and trading tools
    for MetaTrader 4 and MetaTrader 5, and indicators for TradingView (Pine Script).
    What I can do for you:
    - Convert a clearly described trading rule into a backtestable MQL4/MQL5 EA
  • Version: 1.13
  • Activations: 5
JK-RapidFire — Automated Trading System for MetaTrader 5

Overview

JK-RapidFire is an automated trading Expert Advisor for MetaTrader 5. It uses a proprietary internal signal engine to evaluate market conditions and open trades when its internal rules are met. The EA includes single-position management, stop loss, take profit, trailing stop, margin pre-check, and lot normalization.

It is designed for users who want a rule-based automated trading tool in MT5. The core entry logic is proprietary and is not disclosed in the product description or provided as public input parameters. All trading strategies involve risk, so thorough testing is required.

Key Features

  • Proprietary signal engine: internal entry conditions are not publicly disclosed.

  • Single-position management: manages one position per symbol/magic at a time.

  • New-bar evaluation: signals are evaluated after a bar closes to reduce tick-level noise.

  • Automatic SL/TP: stop loss and take profit can be set in points, pips, or ticks.

  • Optional initial protective stop: may be enabled depending on the version.

  • Trailing stop: starts after a specified profit and supports distance and step settings.

  • Margin pre-check: checks free margin before sending orders.

  • Lot normalization: automatically adjusts lot size to broker min/max/step rules.

  • Magic number support: allows multiple instances on the same account.

  • Retry on failure: can retry entry within the same bar after a failed attempt.

  • Strategy Tester compatible: works in the MT5 Strategy Tester.

How to Use

  1. Purchase and install JK-RapidFire from the MQL5 Market.

  2. Open MT5 Navigator, find the EA under Expert Advisors, and drag it onto a chart.

  3. Enable AutoTrading.

  4. Configure lot size, stop loss, take profit, trailing stop, and other public parameters according to your testing.

  5. Backtest in the Strategy Tester with realistic spread, commission, and slippage.

  6. Forward test on a demo account.

  7. Consider live use only after you fully understand the EA behavior and risks.

It is recommended to use a separate chart and a separate magic number for each symbol or instance.

Public Input Parameters

Trade Settings

  • InpPointUnit : point unit for all point-based parameters:

    • UNIT_POINT : smallest point

    • UNIT_PIP : traditional pip

    • UNIT_TICK : symbol tick size

  • InpLots : lot size, normalized to broker rules.

  • InpSL_Points : stop loss in points.

  • InpTP_Points : take profit in points.

  • InpMagic : magic number.

  • InpSlippage : maximum slippage.

  • InpMaxRetry : maximum retries after entry failure on the same bar.

Trailing Stop

  • InpUseTrailing : enable trailing stop.

  • InpTrailStart : profit in points required to start trailing.

  • InpTrailDist : trailing stop distance.

  • InpTrailStep : minimum trailing step.


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IMPORTANT - FEEDBACK FROM REAL CUSTOMERS, REAL MONEY, REAL PROFIT: https://www.mql5.com/en/market/product/190894/comments#comment_60526937 Live Signal-3 :  https://www.mql5.com/en/signals/2394547 Live Signal-1: https://www.mql5.com/en/signals/2382857 Live Signal-2: https://www.mql5.com/en/signals/2390825 IMPORTANT - READ BEFORE CHOOSING A MODE: full backtest of all 11 Trading Modes → https://www.mql5.com/en/blogs/post/775822 You've watched Gold rip 1500 points in a straight line and felt your
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Dragoljub Vujcic
4.8 (20)
INSTITUTIONAL SMC ROBOT VERSION 3.0 Advanced Smart Money Concepts Trading System for MetaTrader 5 Executive Overview Institutional SMC Robot  is an automated trading solution engineered for modern financial markets. Built around elite Smart Money Concepts (SMC) architecture, the algorithm identifies and executes high-probability trades based on institutional order flow, market structure shifts, and liquidity dynamics. Unlike traditional retail indicators, Institutional SMC Robot  tracks real ins
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Leonid Arkhipov
5 (1)
MEET BTCUSD CONSENSUS MY NEW PROJECT FOR BITCOIN I wanted to create something more serious for BTCUSD than just another EA built around a couple of indicators. That is why there is not just one strategy and not just one signal here. Inside BTCUSD Consensus there are 5 individually trained models and 1360 decision trees . D LONG • D SHORT • U LONG • U SHORT • SELL META Each model has its own task, its own training and its own optimization. Before entering the market, the EA also identifies the
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Automatic Support and Resistance Levels with Breakout Tracking Product name note: the file name and the indicator short name in the source are AutomaitcSR . The correct spelling AutomaticSR is recommended before submission. Use one identical name for the file, the short name and the Market product title. Short description (for the Market product card) Automatic support and resistance levels built from confirmed swing pivots, with ATR-based filtering, optional level zones, breakout marking and a
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