经纪商和自营
面向企业
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Blue Road
cBot
1 购买
Version 1.0, May 2025
Windows, Mac, Mobile, Web
注册日期 10/02/2025
交易量
4.09M
盈利点数
2.86K
销售
6
免费安装
584
"Blue Road" 已上传图片"Blue Road" 已上传图片"Blue Road" 已上传图片"Blue Road" 已上传图片


Blue Road is a fully automated trading system with focus on precision and avoiding losses. Since April 2024 Blue Road more than doubbled a 10k account with high win rate.


Features:

  • Identifies trend reversals based on price crossing above or below the EMA.
  • Trades with predefined stop loss and take profit levels.
  • Manages one active position at a time for controlled risk.
  • Fully automated—executes trades without manual input.


However, Profitable is a high risk bot. Every position has a SL, but extremly far away, therefore the drawdowns can be massive. It focuses on precise entry and is aiming to hit TP as soon as possible. Unfortunately, sometimes it does not reach the Take Profit and big drawdowns can occur.


Risk management:

In settings you can adjust:

- SL & TP

- EMA period

- Position size

- Maximum daily Drawdown in %





 (Possible difference in backtests result due to different account type.

Fix: Take Profit and Stop Loss might need adjustment depending on your account type - meaning adjust the number of zeros 300 -> 30 or 3000 to achieve same results as on backtests below.)



Disclaimer:

Trading involves inherent risks, and past performance does not guarantee future results. Blue Road operates based on predefined market conditions but does not ensure profitability. Losses can occur, and performance may be affected by market fluctuations, liquidity changes, and unforeseen events.

It is the trader’s responsibility to establish appropriate risk parameters and monitor the EA’s activity. This system is not financial advice, and users should conduct their own research or consult a professional before using automated trading strategies.

Technical factors such as software updates, connectivity disruptions, or platform modifications may impact functionality. By using Blue Road, traders acknowledge and accept these risks. Testing in a demo environment before live trading is strongly advised.


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