🤖 ML Signals & Predictions ELITE+

Signal Components

Zone Strength Score (0-100)

A composite score indicating the estimated significance of a liquidation zone:

• 80-100: Very strong zone, high concentration
• 60-79: Strong zone, notable position cluster
• 40-59: Moderate zone, some concentration
• 20-39: Weak zone, scattered positions
• 0-19: Very weak zone, minimal significance

Confidence Level

How confident the model is in the strength assessment:

• 95-100%: High confidence (more data points)
• 75-94%: Good confidence
• 50-74%: Moderate confidence
• <50%: Low confidence (less reliable)

Zone Volatility Estimate

Expected price movement volatility around the zone:

• High: Potential for sharp price swings
• Medium: Moderate movement expected
• Low: Smooth price action expected

1. Identify Strong Zones

Look for zones with strength scores > 70 combined with high confidence (>85%). These are the most "active" zones.

2. Compare with Price

Strong zones near current price are more relevant than zones far away. A strong zone 5% away matters more than one 50% away.

3. Look for Clusters

Multiple strong zones near each other suggest significant support/resistance levels.

4. Check Exchange Breakdown

Signals show which exchange(s) are contributing to zone strength. Understand which market is creating the signal.

5. Combine with Other Analysis

Use signals alongside technical analysis, market sentiment, and fundamental factors.

NOT a Prediction Tool

The model measures zone significance, not future price direction. A strong zone might still be ignored by the market.

Real-Time Position Analysis (Trained on Historical Patterns)

The model is trained on historical zone outcome data (did zones hold or break in the past?), but makes predictions using CURRENT OPEN POSITION DATA:

• Training phase: Model learns from historical zone lifecycle events (patterns of when zones held vs broke)
• Prediction phase: Model analyzes real-time position characteristics to assess current zone strength
• Input features: Volume, concentration, touch count, zone age, leverage distribution, funding rates
• Live updates: Signals reflect current market state as positions open/close in real-time

This means signals combine learned patterns from history with present moment position data to estimate zone significance.

Data Quality Dependencies

Signal accuracy depends on:

• Exchange API reliability
• Data freshness (updates every 1-5 seconds)
• Complete position tracking
• Exchange-specific quirks and delays

Black Box Model

The exact algorithm is proprietary. You're trusting the model's assessment without seeing the detailed calculations.

Pattern 1: Strong Support Zone

Strong green (long liquidation) zone with high confidence near current price. Right now, many long positions are clustered here. If price drops here today, those liquidations could occur.

Pattern 2: Rising Resistance

Strong red (short liquidation) zone above current price, with strength increasing. This means traders are currently opening shorts above current level; zone strength growing in real-time.

Pattern 3: Weak Cluster

Multiple zones with low individual strength but collectively significant. Traders currently have positions spread across a range rather than concentrated in one area.

Pattern 4: Decaying Zone

Zone was strong recently but confidence declining. Traders are currently closing or liquidating their positions at this level; zone relevance decreasing right now.