radbot 1.0.15

Radix Aggregated DEX Trading Bot

RadBot

Radix Aggregated DEX Trading Bot

RadBot is an automated trading bot for the Radix DLT network. It monitors token prices 24/7 and executes trades across aggregated DEX liquidity based on your chosen strategy.

Features

• Multiple Strategies — Manual indicator-based, Ping Pong, and AI-powered machine learning
• Technical Indicators — RSI, MACD, Bollinger Bands, Moving Average Crossover, ATR, and more
• AI Optimization — Machine learning auto-tunes strategy parameters after sufficient trade data
• Non-Custodial — Your keys never leave your machine; wallet password stays in RAM only
• Real-Time Dashboard — Live price charts, balance tracking, trade history, and profit analytics
• Aggregated DEX Routing — Finds the best swap route across Radix DEX pools

Quick Start

Install from PyPI

pip install radbot

Or clone and install locally

git clone https://github.com/AkondLtd/radbot.git
cd radbot
pip install -e .

Run

radbot

Requirements

• Python 3.11 or later
• Windows, Linux, or macOS
• An active internet connection (for Radix Gateway API access)
• XRD tokens in your wallet for trading and network fees

Linux Prerequisites

Some dependencies include C extensions that need compilation. Install the build tools first:

# Ubuntu / Debian
sudo apt install python3-dev build-essential

# Fedora / RHEL
sudo dnf install python3-devel gcc

# Arch
sudo pacman -S base-devel

macOS Prerequisites

xcode-select --install

First Steps

1. Load your wallet — Create a new wallet, import a seed phrase, or load an existing wallet file
2. Configure trade pairs — Browse available token pairs and select which ones to track
3. Create a trade — Pick a pair, choose a strategy, set your amount, and start trading
4. Monitor — Watch your trades execute on the Active Trades tab

See the full Getting Started Guide for detailed instructions.

Strategies

Strategy	Description
Ping Pong	Buy at a fixed low price, sell at a fixed high price — simple and predictable
Manual	You configure technical indicators (RSI, MACD, etc.) and RadBot follows the signals
AI Strategy	Machine learning analyses your trade history and optimises indicator parameters automatically

Project Structure

radbot/
├── core/           # Radix blockchain interaction (wallet, transactions, network)
├── config/         # Application and database configuration
├── constants/      # Strategy type definitions
├── database/       # SQLite database managers (trades, balances, tokens, history)
├── gui/            # PySide6 Qt GUI (tabs, components, styling)
├── images/         # Icons and images
├── indicators/     # Technical indicator implementations
├── models/         # Data models
├── services/       # Background services (trade monitor, price history, AI)
├── security/       # Dependency verification
├── utils/          # Utility helpers
├── docs/           # User documentation
├── libs/           # Platform-specific libraries (Cairo DLLs for Windows)
├── main.py         # Application entry point
└── version.py      # Version metadata

Security

• Wallet passwords are held in RAM only and erased on exit
• Private keys are never written to disk unencrypted
• Seed phrases are never stored by RadBot
• Fee configuration uses compiled native modules with integrity verification
• Dependency hashes are verified at startup

License

This project is licensed under the GNU Affero General Public License v3.0.

Links

• RadixTalk Community
• Radix DLT