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cBot
Grid
Martingale
Forex
USDJPY
Algo Forex (USDJPY)
5.0
22/12/2025
27
Desktop, Mobile, Web
Seit 22/09/2024
Verkäufe
5
Kostenlose Installationen
665
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Please read:
The Algo Forex Strategy (Trial Version) is for Backtesting only.
It cannot execute any trading orders in both Live and Demo accounts.
If you wish to use the full functionality, please refer to the Full Version

Full Version : Algo Forex

Live Trading (Demo): Capital 1,000$

___________________________________________________

Ex. Backtest

cBot Name: Algo Forex

Symbol: USDJPY

Time Frame: TFWeek

Starting capital: $10,000

Testing Period: 11M ( 01/01/2025 - 10/12/2025 )

Data: Tick Data

Data form: Sportware

___________________________________________________

Supported Markets: Forex Only (No CFDs, Indices, Metals, or Crypto)

🎯 How HFT Algo Forex Works

Two independent strategies:
• Strategy 1 (Buy) – trades only in the buy direction
• Strategy 2 (Sell) – trades only in the sell direction
• You can run BuyOnly, SellOnly, or Both sides at the same time.

When a new trading cycle starts:
• The cBot checks how far the price has moved from the current bar open.
  • Buy side → if price drops from the bar open by the distance set in Smooth input
  • Sell side → if price rises from the bar open by the distance set in Smooth input
• When that distance is reached it opens the first market order.

Building the grid:
• After the first order, the cBot places more Limit Orders in the same direction.
• Each order is spaced by the value set in Grid Step (USD).

Closing a profit cycle:
• If the total net profit of all positions on that side becomes greater than 0,
  → it closes all open positions and cancels any pending orders.


💡 Developer’s Warning
This strategy uses a Martingale + Grid structure, which can significantly increase risk during periods of high market volatility.
Although risk-control mechanisms are included, it is not suitable for live trading in regular CFD broker accounts.

It is recommended to use this system in Prop Firm trading environments, which are designed to accommodate this type of strategy.
Users should carefully evaluate the risks and always test the system on a Demo account before using it on a live account.


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December 15, 2025
The backtest results look good. Let's test it a little more.
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