OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Exchanges & Trading

Vireonix Trading Platform

Vireonix Trading Platform is a Python desktop application that monitors circular Solana token-pair quotes through Jupiter, identifies potential cross-DEX arbitrage and supports automatic or user-triggered swaps.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Vireonix Trading Platform — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a desktop scanner and trading workflow for circular Solana token-pair opportunities, with controls for position size, slippage and scan timing.

Who it is for

  • Solana traders who want to monitor circular token-pair quote differences across routed DEX liquidity.
  • Users seeking a desktop interface for arbitrage controls, manual swaps, portfolio holdings and trade history.

Documented uses

  • Compare A→B and B→A quotes for monitored token pairs.
  • Flag opportunities against a minimum profit threshold and configured trading limits.
  • Automatically execute the best detected opportunity per scan cycle or manually trigger a selected one.
  • Review wallet holdings, price movements, spreads and records of arbitrage and manual swaps.
Before you choose

Requirements & limits

The README provides a public GitHub repository and Python setup instructions for Windows, macOS and Linux. It lists Python 3 as the application runtime.

  • The quote engine uses Jupiter v6, while the README identifies SolanaTracker’s aggregator for swap execution.
  • Eight token pairs are listed as defaults; the scanner also supports pair management.
  • Automatic execution can trade the best opportunity each scan cycle; manual execution requires selecting an opportunity.
  • The project lists a wallet address for portfolio display and wallet-key import in Settings for trading configuration.
  • Telegram and Twilio features require their respective credentials; QuikNode is described as optional for token-price data.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the desktop application

Prepare the Python environment, configure the documented settings and start the app.

Before you start

  • Python 3
  • The project repository and its requirements.txt
  • A .env file based on .env.example
  • A Solana RPC endpoint; wallet credentials for trading-related functions

Steps

  1. Clone the repository and change into its directory.

  2. Create and activate a Python virtual environment.

  3. Install dependencies with pip install -r requirements.txt.

  4. Copy .env.example to .env and fill in the settings needed for your intended functions.

  5. Launch the application with python main.py.

Expected outcome

The desktop application starts with the environment and settings configured for the selected functions.

Guide limitations

  • The README does not establish that setup or execution has been independently tested.
  • Trading requires wallet configuration and sufficient funds; quote requests may be affected by Jupiter API rate limits.
  • Keep .env and the local database out of source control.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
bigmacman1129/solana-trading-platform · Official homepage title · retained in its source language
How we review sourcesSuggest a correction