cBot
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btcusd
eurusd
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"TrendFibonacciBotDemo" logo
TrendFibonacciBotDemo
0.0
11/09/2025
1
Desktop, Mobile, Web

The Free for demo account of bot https://ctrader.com/products/1893

Good for XAUh4, Us500 M10, Otherpairs with grid

1. Trading Idea

The robot combines two tools:

  • Fibonacci retracement levels (38.2% and 61.8%) → used to define important price zones.
  • Weighted Moving Average (WMA) → used to detect the market trend.

With these, the market is divided into three zones:

  • Green Zone: Uptrend (price above the upper Fibonacci level).
  • Red Zone: Downtrend (price below the lower Fibonacci level).
  • Yellow Zone: Neutral/sideways (price between the two levels).

2. When the Bot Buys or Sells

  • Buy trade: When the market moves from Yellow → Green zone (trend turning bullish).
  • Sell trade: When the market moves from Yellow → Red zone (trend turning bearish).

Each trade has:

  • Stop Loss (SL): automatically calculated based on Fibonacci levels.
  • Take Profit (TP): usually larger than SL, adjustable with the "TakeProfitRate" setting.

3. Optional Martingale/Grid Trading

If enabled, the bot can open multiple positions when price moves against the first trade:

  • New trades are added at certain price distances (pip steps).
  • Each new trade can have a larger lot size (controlled by "Lot Multiplier").
  • This creates a grid of trades, aiming to close all with profit when the market reverses.

4. Risk Management

The bot includes several protections:

  • Stop Equity: if account equity falls below this level, the bot closes all trades and stops.
  • Max Spread: avoids trading if spread is too high.
  • Max Lots: limits the largest trade size.

5. Key Settings (you can adjust)

  • Lot Size: the basic trade volume.
  • Take Profit Rate: ratio for profit target.
  • Lot Multiplier: how much lot size increases in martingale mode.
  • BackStep: how many candles are used to calculate Fibonacci levels.

Grid/martingale strategies carry risk. Use at your own discretion and always validate settings on historical data and in demo before going live.


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