🏆 Gold-Digger

🎯 What is Gold-Digger?

Gold-Digger is the ultimate cryptocurrency data mining bot that strikes digital gold for your ML applications! 💎 This Python powerhouse collects, processes, and stores crypto trading data with a focus on volume breakouts and technical patterns - perfect for training machine learning models to predict market movements.

🚀 Key Features

• ⛏️ Multi-Exchange Mining: Collects data from 6 major exchanges (Binance, Kraken, Crypto.com, OKX, Bitfinex, Coinbase)
• 💰 Volume Breakout Detection: Advanced algorithms to identify volume jackpots and trading opportunities
• 🧠 ML-Ready Data: Pre-processed feature vectors and targets for supervised learning
• 🔧 Technical Arsenal: 15+ technical indicators (RSI, MACD, Bollinger Bands, etc.)
• 🏦 Secure Data Vault: SQLite database optimized for ML training workflows
• 🎪 Entertaining Logs: Funny mining-themed messages that make data collection enjoyable!

📊 Volume Breakout Focus

Gold-Digger specializes in identifying volume breakouts - those golden moments when trading volume explodes, often preceding significant price movements:

• 2x Volume Spikes: Early warning signals
• 3x Volume Explosions: Strong breakout candidates
• 5x Volume Jackpots: Rare mega-breakouts for premium opportunities
• Follow-through Analysis: Price impact tracking for breakout validation

🛠️ Installation

Prerequisites

Python 3.8+
pip package manager

Quick Setup

# Clone the golden repository
git clone https://github.com/xtoor/gold-digger.git
cd gold-digger

# Install dependencies
pip install pandas numpy sqlite3 requests ccxt ta schedule

# Configure your API keys (optional but recommended)
# Find this section in gold-digger.py and fill in the API info add or remove brokers by commenting out its block
# Edit the setup_mining_operations() function with your exchange API credentials
```code
            self.log_funny("🔧 Setting up mining equipment across multiple exchanges...")
            
            # Original exchanges
            self.exchanges['coinbase'] = ccxt.coinbase({
                'apiKey': '',
                'secret': '',
                'password': '',
                'sandbox': False,
                'rateLimit': 1000,
            })
            
            # New exchanges added per request
            self.exchanges['kraken'] = ccxt.kraken({
                'apiKey': '',
                'secret': '',
                'sandbox': False,
                'rateLimit': 1000,
            })
            
            self.exchanges['cryptocom'] = ccxt.cryptocom({
                'apiKey': '',
                'secret': '',
                'sandbox': False,
                'rateLimit': 1000,
            })
            
            # Note: CCXT doesn't have direct Uphold support, using OKX as alternative
            self.exchanges['okx'] = ccxt.okx({
                'apiKey': '',
                'secret': '',
                'password': '',
                'sandbox': False,
                'rateLimit': 1000,
            })
            
            # Using Bitfinex as another major exchange option
            self.exchanges['bitfinex'] = ccxt.bitfinex({
                'apiKey': '',
                'secret': '',
                'sandbox': False,
                'rateLimit': 1500,
            })```

# Start mining!
python gold_digger.py

Required Libraries

pandas>=1.3.0
numpy>=1.21.0
requests>=2.25.0
ccxt>=4.0.0
ta>=0.10.0
schedule>=1.1.0
sqlite3 (built-in)

🎮 Usage

Basic Mining Operation

from gold_digger import GoldDigger

# Initialize the mining rig
digger = GoldDigger()

# Launch full expedition (top 30 cryptos, 30 days history)
digger.launch_full_mining_expedition(top_n=30, days=30)

# Get ML training data
training_data = digger.get_ml_training_gold()
feature_vectors = digger.get_ml_features()

Scheduled Mining

import schedule

# Set up automated mining every 2 hours
schedule.every(2).hours.do(
    lambda: digger.launch_full_mining_expedition(top_n=20, days=1)
)

📁 Database Schema

Core Tables

Table	Purpose	Key Features
gold_nuggets	Main trading data	OHLCV + 20+ technical indicators
volume_jackpots	Breakout events	Volume multipliers, price impacts
utility_treasure_map	Fundamental metrics	GitHub activity, social buzz, dev metrics
ml_feature_vault	ML-ready vectors	JSON feature sets + targets

Sample Data Structure

SELECT symbol, timestamp, volume_breakout_score, rsi, macd 
FROM gold_nuggets 
WHERE volume_breakout_score > 70 
ORDER BY timestamp DESC;

🔥 Volume Breakout Algorithm

The heart of Gold-Digger's intelligence:

# Volume Jackpot Scoring (0-100)
if volume > 5 * volume_ma_20:
    score = 100  # MEGA JACKPOT! 🎰
elif volume > 3 * volume_ma_20:
    score = 85   # BIG JACKPOT! 💰
elif volume > 2 * volume_ma_20:
    score = 70   # MINI JACKPOT! 🎯
else:
    score = volume_ratio * 40  # Building momentum...

🎯 ML Training Integration

Feature Engineering

features = {
    'price_momentum_5': recent_price_changes,
    'volume_trend_10': volume_pattern_analysis,
    'rsi_current': momentum_indicator,
    'bb_position': volatility_position,
    'volume_breakout_score': breakout_probability
}

Prediction Targets

• target_breakout_1h: Volume breakout in next hour
• target_breakout_24h: Volume breakout in next 24h
• target_price_change_1h: Price movement correlation
• target_price_change_24h: Extended price impact

🏃‍♂️ Quick Start Examples

1. Basic Data Collection

# Mine Bitcoin data for the last 7 days
digger = GoldDigger()
digger.strike_gold_for_symbol('BTC/USDT', days=7)

2. Volume Breakout Hunting

# Find recent volume jackpots
jackpots = digger.detect_volume_jackpots(df, 'ETH/USDT')
for jackpot in jackpots:
    print(f"💥 {jackpot['symbol']} - {jackpot['jackpot_type']}")

3. ML Model Training

# Get processed features for model training
features_df = digger.get_ml_features(days=30)
X = features_df.drop(['target_breakout_1h'], axis=1)
y = features_df['target_breakout_1h']

# Train your model
from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier()
model.fit(X, y)

🎪 Sample Output

⛏️ Digging for digital gold in the crypto mines...
🚀 GOLD-DIGGER EXPEDITION #1 LAUNCHED!
🎯 Target: Top 30 crypto veins, 30 days deep!
⭐ Found 30 golden symbols ready for mining!
💥 BOOM! Volume just went nuclear! ☢️
🏦 Deposited 1440 golden nuggets! Vault total: 43200
🏆 EXPEDITION COMPLETE! Success rate: 96.7%
💎 Total nuggets in vault: 43200

🤝 Contributing

We welcome fellow gold miners!

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📈 Supported Exchanges

Exchange	Status	Volume Data	Real-time
Binance	✅	✅	✅
Kraken	✅	✅	✅
Crypto.com	✅	✅	✅
OKX	✅	✅	✅
Bitfinex	✅	✅	✅
Coinbase Pro	✅	✅	✅

⚠️ Disclaimer

This tool is for educational and research purposes. Always do your own research before making trading decisions. Cryptocurrency trading involves substantial risk of loss.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• CCXT for exchange connectivity
• TA-Lib for technical analysis
• The crypto community for inspiration

---

Made with 💰 by crypto enthusiasts, for crypto enthusiasts
Strike digital gold with every data point! ⛏️💎

📞 Support

• 🐛 Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions
• ⭐ Star this repo if Gold-Digger helps you strike it rich!

Happy Mining! 🚀💰