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Backtest

Settings Spreadsheet

We don’t provide a settings spreadsheet — and that’s by design. This page explains why dynamic optimization is superior to static settings.

AI optimization On

The Static Settings Trap

Why Spreadsheets Don’t Work

The Problem:

  • Markets evolve daily
  • Volatility changes
  • Correlations shift
  • Liquidity varies

The False Promise:

  • “Best settings for BTCUSDT”
  • “Copy my profitable settings”
  • “Universal parameters”
  • “Set and forget”

Real Market Example

The Solution: Dynamic Optimization

Static vs Dynamic Comparison

Static Settings Dynamic AI Winner
Fixed parameters Adapts every N bars AI
Manual updates Automatic optimization AI
Works until it doesn’t Continuously evolves AI
One-size-fits-all Personalized to metrics AI
Hope markets don’t change Responds to changes AI

How AI Optimization Works

  1. Continuous Testing

    AI tests thousands of combinations in the background

  2. Performance Scoring

    Each combination is scored by your chosen metric

  3. Automatic Selection

    Best-performing settings are applied automatically

  4. Regular Updates

    Process repeats every update cycle

What Actually Matters

Success Factors (Ranked)

1. Risk Management (40%)

  • Position sizing
  • Stop losses
  • Portfolio balance

2. Market Context (30%)

  • Trend identification
  • Support/resistance
  • Volume analysis

3. Psychology (20%)

  • Discipline
  • Patience
  • Emotional control

4. Settings (10%)

  • Just 10% of success!

The “Best Settings” Myths

Myth #1: High Win Rate = Profitable

90% Win Rate Strategy

  • Win: $10 (90% of the time)
  • Loss: $100 (10% of the time)
  • Result: LOSING STRATEGY

30% Win Rate Strategy

  • Win: $100 (30% of the time)
  • Loss: $20 (70% of the time)
  • Result: PROFITABLE

Myth #2: Copy Successful Traders

Why it fails:

  • Different risk tolerance
  • Different capital
  • Different schedule
  • Different psychology
  • Different market conditions when they traded

Myth #3: Backtest = Future

The Better Way

Develop Your Edge

Easiest approach:

  1. Enable AI Optimization
  2. Select your metric
  3. Let it adapt continuously
  4. Focus on risk management

Time required: 5 minutes

Skill required: Minimal

Effectiveness: High

For hands-on traders:

  1. Test weekly
  2. Document what works
  3. Adjust for market conditions
  4. Never “set and forget”

Time required: Hours weekly

Skill required: High

Effectiveness: Variable

Focus Your Energy

Instead of searching for settings:

  • Learn risk management
  • Study market structure
  • Practice with small size
  • Build trading discipline
  • Develop patience

Your time allocation:

  • 60% Risk management
  • 30% Market analysis
  • 10% Settings/tools

Common Questions

But other indicators provide settings!

Most indicators are static tools without AI. They need manual settings because they can’t adapt.

Infinity Algo V3.0 has AI that makes static settings obsolete. It’s like comparing a manual camera (need to set everything) to a modern smartphone (auto-adjusts for perfect shots).

Can you just share what’s working now?

What’s working now:

  • For me: Won’t work for you (different everything)
  • Today: Won’t work tomorrow (markets change)
  • On BTCUSDT: Won’t work on ETHUSDT (different behavior)

Instead: Use AI mode or test yourself weekly.

I found profitable settings, should I share?

Ask yourself:

  • How long have they worked?
  • In what market conditions?
  • What’s the sample size?
  • What’s the maximum drawdown?

If less than 100 trades across different conditions, it’s luck, not edge.