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Backtest

Example of Settings

Master every setting in Infinity Algo V3.0 Backtest Version. This guide covers all configuration options with practical examples for different trading styles.

Configuration Philosophy

Two Approaches

Let AI Handle It

How it works:

  1. Enable AI Optimization
  2. Select performance metric
  3. AI adjusts sensitivity/thresholds
  4. You control exits and risk

Best for:

  • Most traders
  • Market adaptation
  • Consistent results
AI Optimization: ON
Performance Metric: Total Profit
Signal Mode: AI
Sensitivity Range: Balanced
Update Frequency: 1000 bars

Direct Configuration

When to use:

  • Testing specific ideas
  • Learning parameter impact
  • Personal preference
  • Predictable behavior

You control everything:

  • Sensitivity (5–28)
  • Thresholds (60–80/20–40)
  • All exit parameters

Exit Strategies Explained

Choose Your Exit Style

Fixed Targets & Stops

How it works:

  • Exit at predetermined %
  • Up to 6 take profit levels
  • Partial position exits
  • Fixed stop loss

Perfect for:

  • Beginners
  • Scalping
  • Consistent results
  • Risk management
Exit Type: Percentage
TP1: 1% (exit 50%)
TP2: 2% (exit 30%)
TP3: 3% (exit 20%)
Stop Loss: 2%

Configuration Examples

Style TP1 TP2 TP3 Stop Loss
Scalping 0.5% 1% - 0.5%
Day Trading 1% 2% 3% 1.5%
Swing 3% 5% 8% 3%

Dynamic Market-Based

How it works:

  • Exit on technical signals
  • Adapts to momentum
  • Captures full moves
  • No fixed targets
Exit Type: Signals
Use TP Signals: ON
Min Profit Before Exit: 0.5%
Adapt to Volatility: ON

Best for:

  • Trending markets
  • Experienced traders
  • Larger moves
  • Higher variance

Maximum Trend Capture

How it works:

  • Hold until reversal signal
  • No profit targets
  • No stop loss
  • Pure trend following

Example:

  • Long exits on Sell signal
  • Short exits on Buy signal

Position Management

Pyramiding (Scaling In)

What is it? Adding to winning positions

Settings:

  • More Entries: Enable/Disable
  • Pyramiding: 1–10 additions
  • Size per addition
Pyramiding: 2
Entry 1: 33% capital
Entry 2: 33% at +1%
Entry 3: 34% at +2%
Max Risk: 2% total

Risk Levels

Experience Pyramiding Risk Per Trade Position Size
Beginner 0 1% 100% entry
Intermediate 1 1.5% 50% + 50%
Advanced 2–3 2% 33% each
Expert 3+ 2% Custom

Configuration by Trading Style

Quick Reference Templates

Timeframe: 1-5 min
Sensitivity: 5-9
Thresholds: 75/25
Exit Type: Percentage
TP1: 0.5% (100%)
Stop Loss: 0.5%
Pyramiding: 0
Timeframe: 15-60 min
Sensitivity: 10-14
Thresholds: 70/30
Exit Type: Percentage
TP1: 1% (50%)
TP2: 2% (50%)
Stop Loss: 1.5%
Pyramiding: 0-1
Timeframe: 4H-Daily
Sensitivity: 15-21
Thresholds: 70/30
Exit Type: Signals
Min Profit: 1%
Stop Loss: 3-5%
Pyramiding: 1-2
Timeframe: Daily-Weekly
Sensitivity: 22-28
Thresholds: 65/35
Exit Type: Opposite Signal
Stop Loss: Optional (5-10%)
Pyramiding: 2-3

Testing Your Configuration

Systematic Approach

  1. Document Settings

    Write down every parameter before testing

  2. Run Baseline

    Test on the last 6 months first

  3. Stress Test

    Test worst market periods:

    • March 2020
    • May 2021
    • 2022 bear market

  4. Compare Results

    Look for consistency across periods

  5. Refine One Variable

    Change only one setting at a time

Performance Targets by Style

Trading Style Min Profit Factor Max Drawdown Win Rate Avg RRR
Scalping 1.3 10% 60%+ 1:1
Day Trading 1.5 15% 50%+ 1.5:1
Swing 2.0 20% 40%+ 2:1
Position 2.5 25% 35%+ 3:1

Configuration FAQ

Which exit type is best for beginners?

Start with Percentage Exit:

  • Predictable results
  • Easy to understand
  • Better risk control
  • Consistent outcomes

Move to Signals or Opposite Signal after 50+ trades of experience.

Should I use pyramiding?

Progressive approach:

  1. First 30 trades: No pyramiding
  2. After profitable: Add 1 level
  3. After 100 trades: Consider 2
  4. Expert only: 3+

Always keep total risk under 2%.

How do I know if settings are over-optimized?

Warning signs:

  • Small changes = big result differences
  • Amazing backtest, poor live results
  • Only works on one symbol
  • Requires perfect conditions

Solution: Test on multiple timeframes and symbols.