📋 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.

TL;DR: Markets change constantly. Static settings that worked yesterday fail today. Use AI Optimization or develop your own adaptive approach through continuous testing.

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❌ 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

Case Study: Bitcoin 2024-2025

January 2024 Settings:

• Sensitivity: 14

• Works great in trending market

• 70% win rate

March 2024 Same Settings:

• Market turns choppy

• 30% win rate

• Account down 20%

Lesson: What worked for 2 months failed completely when conditions changed.

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🤖 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 1000s of combinations in background

2

Performance Scoring

Each combination scored by your chosen metric

3

Automatic Selection

Best performing settings applied automatically

4

Regular Updates

Process repeats every update cycle

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🎯 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!

Reality Check

Perfect settings + Poor risk management = Blown account

Average settings + Good risk management = Consistent profits

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📊 The "Best Settings" Myths

Myth #1: High Win Rate = Profitable

90% Win Rate Strategy

• Win: $10 (90% of time)

• Loss: $100 (10% of time)

• Result: LOSING STRATEGY

30% Win Rate Strategy

• Win: $100 (30% of time)

• Loss: $20 (70% of 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

Overfitting Example:

• Backtest: 500% profit

• Live trading: -50% loss

Why? Optimized perfectly for past data that won't repeat exactly.

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✅ The Better Way

Develop Your Edge

Option 1: Use AI

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

Option 2: Manual Adaptation

For control freaks:

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

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❓ 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.