NEURAL LEARNING SYSTEM

24/7 continuous learning for improved insights and predictions on Bitcoin, Ordinals, and Runes

Neural Learning System

Real-time learning in progress • Last update: 5/3/2025, 3:42:37 PM

Live Learning

Overall Learning Progress

95%

Training neural models with latest data

Active

data collection

100%

preprocessing

100%

training

92%

validation

85%

insight generation

78%

correction

100%

Tasks Completed

15

/ 20

Estimated Completion

~13 min

Learning Progress History

Data points: 1,250,000Models: 8

Cloud Sync Status

Synced

Last sync: 5/3/2025, 6:12:37 PM

Neural learning continues 24/7 via Degoo cloud storage integration, even when your device is offline.

Cloud Sync Status

Sync Status

Connected

Last Sync

5 minutes ago

Storage Usage

4.2 GB / 10 GB

42%

Cloud Storage Details

Models

2.1 GB

Training Data

1.8 GB

Predictions

0.2 GB

Other

0.1 GB

How Neural Learning Works

1

Continuous Data Collection

Our system continuously collects data from multiple official sources including:

  • Bitcoin blockchain data (transactions, blocks, mempool)
  • Ordinals and Runes market data from multiple marketplaces
  • On-chain metrics and network health indicators
  • Social sentiment from Twitter, Discord, and Reddit
  • Trading patterns and market movements

All data is processed, normalized, and prepared for neural network training.

2

Specialized Neural Networks

We employ multiple specialized neural networks, each trained for specific tasks:

  • Price Prediction Network: Forecasts Bitcoin price movements
  • SMC Analysis Network: Identifies key support/resistance levels
  • Arbitrage Detection Network: Finds price discrepancies across markets
  • Ordinals Valuation Network: Estimates fair value of collections
  • Runes Analysis Network: Tracks Runes adoption and usage patterns
3

Degoo Cloud Synchronization

Our system synchronizes with Degoo cloud storage, enabling:

  • Continuous learning even when your computer is offline
  • Secure storage of trained models and historical data
  • Distributed training across multiple instances
  • Backup and recovery of neural network states
  • Sharing of insights between authorized users
4

Continuous Improvement Cycle

Our neural system implements a feedback loop for continuous improvement:

  • Prediction accuracy is tracked and measured against real outcomes
  • Models are automatically retrained with new data every 4 hours
  • Hyperparameters are fine-tuned based on performance metrics
  • New data sources are continuously evaluated and integrated
  • System adapts to changing market conditions and patterns

Neural SMC Analysis

The neural system analyzes Smart Money Concepts (SMC) to identify key support and resistance levels.

SMC Analysis

Placeholder for SMC analysis from the neural system.

Neural Arbitrage & Trade Analysis

The neural system continuously analyzes price differences across markets to identify arbitrage opportunities.

Auto-corrected for fees

Arbitrage Opportunities

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Ordinals: Bitcoin Puppets

Corrected

Profit Margin

21.2%

26.8%

Confidence

92%

Time Window

2-3 hours

Buy: Magic Eden

Sell: Gamma.io

Runes: PEPE

Corrected

Profit Margin

15.3%

20%

Confidence

88%

Time Window

1-2 hours

Buy: Unisat

Sell: OKX

Ordinals: OCM GENESIS

Corrected

Profit Margin

11.8%

16.2%

Confidence

95%

Time Window

3-4 hours

Buy: Gamma.io

Sell: Magic Eden

Neural Ordinals & Runes Analysis

The neural system analyzes Ordinals and Runes markets to identify trends and opportunities.

Ordinals & Runes Analysis

Placeholder for Ordinals and Runes analysis from the neural system.