Search Results for "assets"

SolanaMevBot is a sophisticated arbitrage trading bot engineered specifically for the Solana blockchain. It leverages Solana's high speed and low transaction fees to automatically identify and execute profitable arbitrage opportunities across various decentralized exchanges (DEXs). This bot integrates with Jito, a leading MEV infrastructure provider on Solana, to ensure gas fees are only incurred on successful, profitable trades. Key features include continuous automated trading,...

This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced...

...You can define your own parameters or use the sample configurations to quickly get up and running with a trading bot in a matter of minutes. The modular design allows you to easily create new trading strategies, exchange integrations, and assets to give you full control over the bot. Whenever you trade on Stellar, you are trading with volatile assets, in volatile markets, and you risk losing money. Kelp is experimental software that contains bugs. Use Kelp at your own risk. There is no guarantee you'll make a profit from using our bots or strategies. In fact, if you set bad parameters or market conditions to change, Kelp might help you lose money very fast. ...

Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. ...

Automated accounting for splits, dividends, and corporate events like delistings and mergers. Avoid selection bias with dynamically generated assets. Create and select asset universes on proprietary data and indicators. Automatically track portfolio performance, profit and loss, and holdings across multiple asset classes and margin models in the same strategy. Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day. ...