Overall Logic of the Robot (PIPS HUNTER)
This robot is designed to trade in an intelligent, secure, and progressive way by combining risk management with optimized profit-taking strategies.
1. Controlled Risk Management
The robot currently uses a
fixed lot size (0.5) (since UseRiskPercent = false).
However, it can also operate using
automatic risk based on a percentage (%) of capital.
You can choose to base calculations on:
- Balance
- or Equity → more dynamic


Result:

You stay in control of your risk → no random trading
2. Multi-Level Take Profit Strategy
The robot opens
multiple positions (3 positions).
Distribution:
- 1 position for TP1
- 2 positions for TP2

Logic:
- TP1 = quick secured profit

- TP2 = let profits run

3. Smart Stop Loss & Take Profit
- Stop Loss is based on a multiplier (SL_Multiplier = 2)
- Take Profit is based on a multiplier (TP_Multiplier = 3)

Therefore:

Favorable risk/reward ratio

The robot targets higher gains than losses
4. Automatic Break Even (Profit Protection)
As soon as the price moves in your favor:
- The robot moves the Stop Loss to break even (BE)
Activation occurs after
25% of TP1 is reached

Result:

Trades are automatically secured

No loss after a strong start
5. Anti-Spam & Trading Discipline
- Delay between actions (5 seconds)
- Pause after a Stop Loss (3 time units)
- Waiting period after full closure (H1)

Result:

Prevents overtrading

Mimics professional trader behavior
6. Quality Filters
- Spinning Top Filter enabled → avoids uncertain markets
- Spread control (max 60 points) → avoids poor trading conditions

Result:

The robot only trades in clean market conditions
7. Built-in Visual Analysis
- Support zones (Aqua)
- Resistance zones (Tomato)
- Clear display directly on the chart

Result:

You understand why the robot takes a trade
Marketing Pitch (to attract users)
You can present your robot like this:
“A robot that doesn’t aim to trade more, but to trade smarter.”
Built-in risk management
Multi-level profit-taking
Automatic profit protection (Break Even)
Market condition filtering
Algorithmic discipline (no emotions)