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GoldDrip

GoldGrip

GoldGrip is a sophisticated trading robot designed specifically for the XAU/USD currency pair on the 4-hour (H4) timeframe. It offers a strategic approach for traders seeking to capture significant market trends while minimizing the noise and volatility often present in shorter timeframes.

Technical Indicators Utilized:

  • Relative Strength Index (RSI): GoldGrip leverages the RSI to assess the momentum of price movements, helping to identify overbought or oversold conditions. This allows the robot to make precise trade entries and exits based on market strength.

  • Bollinger Bands: By incorporating Bollinger Bands, the robot effectively tracks market volatility, identifying opportunities for breakouts or reversals. The bands adjust dynamically to market conditions, providing key insights into potential price movements.

  • Simple Moving Average (SMA): GoldGrip employs the SMA to smooth out price data, offering a clear perspective on long-term market trends. This helps the robot identify support and resistance levels, aiding in aligning its strategy with prevailing market conditions.

Input Parameters Explained:

  • Magic Number: EurAscend allows traders to assign a unique Magic Number to distinguish its trades from manual or other automated strategies. This aids in monitoring and managing trades with precision.

  • Profit Factor: This input defines the robot’s risk-reward ratio, ensuring a balanced approach where profits are maximized relative to risk. Traders can adjust this parameter to fit their strategy for medium-term gains.

  • Stop Loss: EurAscend offers customizable stop-loss settings, dynamically adjusted based on market volatility using ATR. Traders can fine-tune this parameter to reflect their risk tolerance, especially on the H4 timeframe where trends are more stable but swings can be larger.

  • Lots: Traders can configure the lot size according to their account size and risk appetite. EurAscend’s flexibility in trade sizing ensures that position sizing matches individual trading goals.

  • Configurable Filling Mode: EurAscend provides multiple filling modes for order execution, adaptable to various market conditions:

    • ORDER_FILLING_FOK (Fill or Kill): Ensures that the entire order is filled or canceled, optimal for traders seeking full execution in one go.

    • ORDER_FILLING_IOC (Immediate or Cancel): Executes as much of the order as possible immediately, with the remaining portion canceled.

    • ORDER_FILLING_RETURN: Executes the available portion of the order and keeps the rest unfilled, providing greater flexibility in dynamic markets.

    • ORDER_FILLING_BOC (Best Order Completion): Fills part of the order at the best available price and completes the rest as market conditions allow.

    Development and Testing:

    • Optimization Period: GoldGrip has undergone extensive optimization from 2016 to 2022, ensuring its algorithms perform well across a wide range of market scenarios.

    • Out-of-Sample Testing: From 2022 to September 2024, GoldGrip has been subjected to rigorous out-of-sample testing, validating its ability to adapt and perform effectively in live market conditions.

    With these refined technical indicators and its robust testing process, GoldGrip offers a reliable and precise trading solution for XAU/USD on the H4 timeframe, making it ideal for traders looking for consistent performance in real-time markets.


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    Bogdan Ion Puscasu
    4.82 (302)
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    Bogdan Ion Puscasu
    5 (40)
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    Herlina Sari
    4.2 (5)
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    Ho Tuan Thang
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    Marzena Maria Szmit
    4.44 (48)
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    Stanislav Tomilov
    5 (5)
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    Arseny Potyekhin
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    Vasiliy Strukov
    5 (18)
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    Habib Gholamali Heidari
    4.25 (4)
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    Bogdan Ion Puscasu
    4.92 (85)
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    The Executor AI Ultra X expert advisor is designed for algorithmic trading in the gold market, utilizing three independent trading strategies. Its architecture incorporates advanced deep learning algorithms, such as Deep Q-Learning (DQN) and Time-Delay Neural Network (TDNN), providing high adaptability and analytical precision. DQN, based on reinforcement learning techniques, enables the expert advisor to optimize decision-making algorithms by simulating historical data and analyzing current mar
    Quantum Bitcoin EA
    Bogdan Ion Puscasu
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    Wei Tu
    4.74 (19)
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    Stanislav Tomilov
    5 (3)
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    Andrei Nazarets
    2 (1)
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    Marzena Maria Szmit
    4.85 (55)
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    Marzena Maria Szmit
    4.67 (15)
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    Pablo Dominguez Sanchez
    5 (4)
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    Xian Qin Ceng
    5 (12)
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    Javier Diaz Perete
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    Javier Diaz Perete
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    Javier Diaz Perete
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