In the ever-evolving world of cryptocurrency trading, staying ahead requires not just keen insight but also efficient tools. I’m excited to share my latest project: an automated system designed to revolutionize how we analyze cryptocurrency charts. Here’s a breakdown of how the system works and its key features.

How It Works

1. Data Collection

• Real-Time Fetching: The system uses Binance APIs and WebSocket streams to gather live data on cryptocurrency prices and trading volumes.
• Data Storage: Collected data is saved in CSV files for historical analysis and future reference.

def get_all_coins_usdt(self):
        self.logger.info("Fetching all trading pairs against USDT.")
        try:
            # Fetch all symbols
            exchange_info = self.client.get_exchange_info()
            symbols = [s['symbol'] for s in exchange_info['symbols'] if s['quoteAsset'] == 'USDT']
            self.logger.info("Successfully fetched trading pairs.")

2. Signal Generation

• RSI Divergence: Calculates Relative Strength Index (RSI) to detect potential price reversals based on divergence patterns.
• Trendline Breaks: Monitors price movements for breakouts from significant trendlines, signaling potential shifts in market direction.
• Moving Average Crossovers: Identifies crossovers between short-term and long-term moving averages to highlight buying or selling opportunities.

3. Data Analysis

• Custom Datasets: Users can generate and curate datasets, which are used for advanced analysis and machine learning applications.
• Interactive Visualizations: Though currently backend-focused, the system is designed to support dynamic charts that simplify trend analysis.

4. Alerts and Notifications

• Automated Alerts: Sends notifications based on predefined conditions to keep traders informed of critical market events.

Key Features

1. Real-Time Data Fetching
Get live updates on cryptocurrencies, ensuring up-to-date information for timely decisions.

2. Smart Trading Signals
Advanced signals like RSI divergence, trendline breaks, and moving average crossovers help in detecting trading opportunities.

3. Customizable Datasets
Create and utilize your own datasets for machine learning and deeper insights.

Symbol,Price,Open,High,Low,Close,Volume,Quote_Asset_Volume,Number_of_Trades,Taker_Buy_Base_Asset_Volume,Taker_Buy_Quote_Asset_Volume
ADAUSDT,0.3427,0.3427,0.3427,0.3426,0.3426,9621.6,3296.37462,11,144.6,49.55442
IOTAUSDT,0.1357,0.1357,0.1357,0.1357,0.1357,0.0,0.0,0,0.0,0.0
XLMUSDT,0.0993,0.0993,0.0993,0.0993,0.0993,18183.0,1805.5719,1,18183.0,1805.5719
ONTUSDT,0.1723,0.1723,0.1723,0.1723,0.1723,0.0,0.0,0,0.0,0.0
TRXUSDT,0.1288,0.1288,0.1289,0.1288,0.1288,59208.3,7628.67956,25,26505.2,3416.52028
ICXUSDT,0.1339,0.1339,0.1339,0.1339,0.1339,220.4,29.51156,1,0.0,0.0
VENUSDT,0.0001,0.0001,0.0001,0.0001,0.0001,0.0,0.0,0,0.0,0.0
NULSUSDT,0.2507,0.2507,0.2507,0.2507,0.2507,67.0,16.7969,1,0.0,0.0
VETUSDT,0.02361,0.02361,0.02361,0.02361,0.02361,5701.2,134.605332,1,0.0,0.0
BTTUSDT,0.002777,0.00277,0.00278,0.002762,0.002777,21866570.0,60650.905797,199,15153452.0,42041.468973
ONGUSDT,0.2972,0.2972,0.2972,0.2972,0.2972,1502.0,446.3944,4,1502.0,446.3944
HOTUSDT,0.001447,0.001447,0.001448,0.001447,0.001447

4. Interactive Charts
Dynamic charts are designed to make spotting trends and patterns straightforward.

5. Automated Alerts
Receive timely notifications and analysis to enhance trading strategies.

What’s Next: Vision AI Integration

For version 2, I plan to integrate an AI model probably Google Gemini or any interesting model I find on huggingface. This will involve:

• Graph Analysis: Interpreting graphs showing RSI divergence and other indicators.
• Predictive Insights: Using Vision AI like Gemini to analyze data and forecast market trends.

Git Repo:

Stay tuned for more updates and screenshots of the backend workings.