Vertice Investments

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5
0 / 0 USD
增长自 2025 -52%
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  • 净值
  • 提取
交易:
193
盈利交易:
57 (29.53%)
亏损交易:
136 (70.47%)
最好交易:
40.47 EUR
最差交易:
-40.98 EUR
毛利:
133.18 EUR (1 540 523 pips)
毛利亏损:
-236.64 EUR (2 731 623 pips)
最大连续赢利:
9 (6.44 EUR)
最大连续盈利:
40.47 EUR (1)
夏普比率:
-0.10
交易活动:
88.27%
最大入金加载:
130.50%
最近交易:
1 几天前
每周交易:
7
平均持有时间:
3 小时
采收率:
-0.91
长期交易:
94 (48.70%)
短期交易:
99 (51.30%)
利润因子:
0.56
预期回报:
-0.54 EUR
平均利润:
2.34 EUR
平均损失:
-1.74 EUR
最大连续失误:
25 (-3.34 EUR)
最大连续亏损:
-41.78 EUR (5)
每月增长:
-51.73%
算法交易:
91%
结余跌幅:
绝对:
103.46 EUR
最大值:
113.81 EUR (54.11%)
相对跌幅:
结余:
54.10% (113.81 EUR)
净值:
24.82% (23.96 EUR)

分配

交易品种 交易 Sell Buy
BTCUSD 115
US30.pro 73
US500.pro 5
25 50 75 100 125 150 175 200
25 50 75 100 125 150 175 200
25 50 75 100 125 150 175 200
交易品种 毛利, USD 损失, USD 利润, USD
BTCUSD -12
US30.pro -71
US500.pro -35
25 50 75 100 125 150 175 200 225 250 275 300
25 50 75 100 125 150 175 200 225 250 275 300
25 50 75 100 125 150 175 200 225 250 275 300
交易品种 毛利, pips 损失, pips 利润, pips
BTCUSD -1.2M
US30.pro -1.4K
US500.pro -674
1M 2M 3M 4M 5M
1M 2M 3M 4M 5M
1M 2M 3M 4M 5M
  • 入金加载
  • 提取
最好交易: +40.47 EUR
最差交易: -41 EUR
最大连续赢利: 1
最大连续失误: 5
最大连续盈利: +6.44 EUR
最大连续亏损: -3.34 EUR

基于有关不同交易商真实账户的执行统计的平均滑移点按点数指定。它取决于 OANDATMS-MT5 提供商以及订阅者之间不同的报价,以及订单执行的延迟。值越低意味着复制的质量越高。

无数据

Overview


Our NeuroEQ is an institutional-grade, adaptive trading algorithm designed to trade efficiently across multiple asset classes. It leverages advanced quantitative strategies that are optimized for different market conditions, making it a robust solution for traders looking to maximize returns with minimal intervention.

Key Features:

  • Adaptive Strategy: The EA is capable of adapting to various market regimes, allowing it to adjust to trend-following, range-bound, and volatile market conditions without needing constant manual intervention.

  • Pre-Optimized Parameters: We provide pre-optimized parameter sets for major assets that have been thoroughly backtested over multiple market periods.

  • Customizable Parameters: Clients have the flexibility to fine-tune parameters for additional assets using predefined ranges, ensuring a tailored approach to their trading preferences.

  • Dynamic Optimization: The EA adjusts its trading logic based on real-time data, which allows it to adapt quickly to changing market conditions, providing a self-adjusting solution.

  • High Transparency: Detailed reports on backtesting results, performance metrics, and trading logic are provided, with clear documentation on the sample optimization periods and methods used.

Backtesting and Optimization Transparency

We understand that optimization is crucial for institutional traders to ensure maximized performance and minimized risk. However, full-scale optimization across all possible asset classes, market regimes, and timeframes is computationally expensive and resource-intensive. Here’s how we approach it:

    Market Regime Testing:

    • Our optimizations are based on various market regimes that include bull markets, bear markets, and volatile environments. This ensures that the EA performs robustly under a wide range of conditions.

    Real-Time Adaptive Optimization:

    • NeuroEQ  continuously adjusts its parameters on-the-fly based on incoming market data. This allows the algorithm to adapt dynamically to changing volatility, trends, and other market factors. This minimizes the need for full parameter optimization over long periods.

    Customizable Parameter Sets:

    • Clients can customize parameters for additional assets by choosing values within the predefined ranges provided in the setup. This allows traders to tailor the EA to their specific needs, with minimal manual intervention.

    Live Data Backtesting:

    • Instead of exhaustive historical optimization for every asset, we provide live backtest reports for each of the sample optimization periods. These reports include:

      • Drawdowns

      • Sharpe ratio

      • Profit factor

      • Win rate

      • Performance consistency over time

    These reports serve as a benchmark for understanding the EA's performance potential.

    Performance Reporting and Accountability

    Real-Time Performance Tracking:

    • For transparency, we offer live tracking of the EA’s performance via MQL5 Signals. These platforms allow clients to observe real-time performance and assess the EA’s suitability for their trading environment.

    Backtest Performance:

    • Detailed backtest reports with historical performance metrics are included. These reports highlight the max drawdown, risk/reward ratios, and profitability of the EA across different market periods.

    • Disclaimer: Due to the limitations of backtesting and optimization on extensive data sets, we recommend that clients conduct their own parameter optimization based on their trading preferences and risk tolerance.

    Risk Management Integration:

    • While the EA operates with non-managed risk by default, we also provide optional risk management modules such as ATR-based stop-losses and trailing stops to manage risk effectively. These modules can be used separately or in conjunction with the core EA.



    没有评论
    2025.06.11 14:20
    A large drawdown may occur on the account again
    2025.06.06 14:50
    Removed warning: Too frequent deals may negatively impact copying results
    2025.06.02 22:20
    Too frequent deals may negatively impact copying results
    2025.06.02 21:20
    Removed warning: Too frequent deals may negatively impact copying results
    2025.05.24 15:19
    Too frequent deals may negatively impact copying results
    2025.05.24 13:14
    Removed warning: The number of deals on the account is too small to evaluate trading
    2025.05.24 11:14
    Removed warning: Low trading activity - not enough trades detected during the last month
    2025.05.16 02:48
    Removed warning: High risk of negative slippage when copying deals
    2025.05.15 11:23
    High risk of negative slippage when copying deals
    2025.05.15 11:23
    Low trading activity - only 1 trades detected in the last month
    2025.05.15 11:23
    This is a newly opened account, and the trading results may be of random nature
    2025.05.15 11:23
    The number of deals on the account is too small to evaluate trading quality
    查看详细统计,请 登录 或者 注册
    信号
    价格
    成长
    订阅者
    资金
    结余
    EA交易
    交易
    赢%
    活动
    PF
    预期回报
    提取
    杠杆
    每月30 USD
    -52%
    0
    0
    USD
    97
    EUR
    5
    91%
    193
    29%
    88%
    0.56
    -0.54
    EUR
    54%
    1:100
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