CoinVision ₿

CoinVision is a Streamlit-based web application that provides real-time cryptocurrency analysis tools with interactive charts and technical indicators. The app allows users to analyze different cryptocurrencies using various technical analysis indicators such as RSI, MACD, and Bollinger Bands.

Features

• Real-time cryptocurrency data from Yahoo Finance
• Interactive candlestick charts
• Technical indicators:
  • Relative Strength Index (RSI)
  • Moving Average Convergence Divergence (MACD)
  • Bollinger Bands
• Trading signals based on technical indicators
• Multiple timeframe analysis (1 month to 5 years)
• Simple Moving Average (SMA) and Exponential Moving Average (EMA) overlays

Screenshots

Dropdown menu to select different cryptocurrencies

Section where you select the period and see price history

Dropdown menu where you select technical indicators

Screen showing candlestick chart, indicator chart, and indicator strategy

Agent Analysis for SOL-USD

Installation

1. Clone the repository:

https://github.com/gregorizeidler/crypto_invest_app.git
cd crypto_invest_app

2. Create and activate a virtual environment:

On Windows

python -m venv venv
.venv/Scripts/activate

On MacOS/Linux

python3 -m venv venv
source venv/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

Usage

1. Start the Streamlit application:

streamlit run app.py

2. Use the interface to:
   • Select a cryptocurrency from the dropdown menu
   • Choose a time period for analysis
   • Select different technical indicators to display
   • View trading signals based on the selected indicator

Project Structure

crypto_invest_app/
├── app.py                          # Main Streamlit application
├── requirements.txt                # Project dependencies
├── .env.example                    # Example for .env file
└── utils/
    ├── __init__.py                 # Package initialization
    ├── data_extraction.py          # Data retrieval functions
    ├── technical_indicators.py     # Technical analysis calculations
    └── strategies.py               # Trading strategy implementations
    └── gpt_utils.py                # AI Agent implementation
└── data/
    ├── price_history.json          # JSON file containing price and indicator data

Technical Indicators

• RSI (Relative Strength Index): Measures the speed and magnitude of recent price changes to evaluate overbought or oversold conditions.
• MACD (Moving Average Convergence Divergence): Shows the relationship between two moving averages of an asset's price.
• Bollinger Bands: Consists of a middle band (SMA) with upper and lower bands that help measure volatility.

Trading Signals

The application provides trading signals based on common technical analysis strategies:

• RSI Strategy: Buy when RSI < 30 (oversold), Sell when RSI > 70 (overbought)
• MACD Strategy: Buy when MACD crosses above Signal Line, Sell when MACD crosses below Signal Line
• Bollinger Bands Strategy: Buy when price crosses below lower band, Sell when price crosses above upper band

Dependencies

• streamlit==1.41.1
• yfinance==0.2.51
• pandas==2.2.3
• plotly==5.24.1
• scikit-learn==1.6.0
• statsmodels==0.14.4
• matplotlib==3.9.4
• scipy==1.13.1
• openai==1.59.7

Authors

• Gregori Zeidler (@gregorizeidler)
• Luis Fernando Torres (@luuisotorres)