Solana Trading Tools Suite

Algorithmic Trading Infrastructure for Solana Cryptocurrencies

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Overview

I work on a collection of projects that leverage the Solana blockchain for algorithmic trading and portfolio management. While I enjoy experimenting with various platforms, my primary focus is the Solana Trading Bot—a fully automated trading system designed for the Solana blockchain. This bot integrates data ingestion, strategy execution, risk management, and real-time monitoring in a modular, automated approach.

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Projects

⚡ Solana Trading Bot (solana-bot)

The main project and focus

The Solana Trading Bot is built for the Solana blockchain and automates many aspects of trading, including:

• Data Ingestion: Combining historical and real-time market data.
• Strategy Engine: Supporting both backtesting and live execution (for example, using an RSI Momentum strategy).
• Execution Engine: Submitting orders with error handling and MEV protection via Jito.
• Risk Management: Managing exposure with stop-loss and take-profit triggers.
• Wallet & Authentication: Securely handling wallet keys and transaction signing.
• Monitoring & Alerts: Providing real-time performance metrics and automated alerts via Prometheus.

For more details on its architecture, project structure, and key features, please visit the solana-bot directory.

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🧪 Strategy Backtesting (backteststrats.ipynb)

A framework for quantitative analysis of Solana alternative coins

# RSI-based trading strategy example
class MemeCoinStrategy(Strategy):
    def init(self):
        self.rsi = self.I(RSI, self.data.Close, 14)
        self.vol_ma = self.I(lambda v: v.rolling(24).mean(), self.data.Volume)
    
    def next(self):
        if self.rsi[-1] < 30 and self.data.Volume[-1] > 1.5 * self.vol_ma[-1]:
            self.buy()
        elif self.rsi[-1] > 70:
            self.sell()

Features: • Uses historical OHLCV data from the Helius API • Parameter optimization through grid search • Models commission and slippage • Provides performance metrics (e.g., Sharpe ratio, max drawdown)

Tech Stack: backtesting.py | pandas | numpy | websockets | solana-py

📊 Portfolio Tracker (solana_portfolio)

A multi-wallet asset monitoring tool with ML-driven insights

Project Structure:

├── api/               # FastAPI endpoints
├── config/            # Environment configurations
├── core/              # Business logic
├── data_access/       # Blockchain data connectors
├── data_processing/   # Data transformation pipelines
├── ml/                # Machine learning models
├── portfolio/         # Portfolio analysis engine
├── simulation/        # Trading scenario simulations
├── tests/             # Unit/integration tests
├── Dockerfile         # Containerization config
├── docker-compose.yml # Multi-container orchestration
└── requirements.txt   # Python dependencies

Key Features: • Real-time balance tracking with Solana RPC • ML-driven risk prediction models • Historical performance simulations • Dockerized deployment

⚡ Trading Platform (solana_trading_platform)

An institutional-grade trading infrastructure

Project Structure:

├── api/               # REST API endpoints
├── data_processing/   # Market data pipelines  
├── services/          # Core trading services
├── simulation/        # Backtesting environment
├── tests/             # Test suites
├── model_comparison_results.csv  # ML model metrics
├── time_series_output.xlsx       # Trading analytics
├── Dockerfile         # Container configuration
└── docker-compose.yml # Service orchestration

Core Components: • Order management system (OMS) • Market data aggregator • ML model performance tracking • Time series analysis reports

Installation

Clone the repository

git clone https://github.com/jadenfix/solanatools.git cd solanatools

Install dependencies

pip install -r requirements.txt

Configure environment

cp .env.example .env

Architecture Overview

graph TD
    A[Blockchain Data] --> B{Portfolio Tracker}
    B --> C[Risk Models]
    C --> D[Trading Platform]
    D --> E[Backtesting Engine]
    E --> F[Execution API]
    F --> G[Solana Network]

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Why I’m Proud of the Solana Trading Bot

While I continue to explore various projects on the Solana blockchain, the Solana Trading Bot remains the project I am most passionate about. It embodies years of learning in algorithmic trading and blockchain technology. Its automated, modular design and comprehensive risk management make it a project I am proud to share with the community.

Contributing

Contributions, feedback, and suggestions are always welcome! Please open an issue or submit a pull request if you have ideas for improvements or additional features.

License

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