Search Results for "trading"

Crypto Trading Bot is a JavaScript cryptocurrency trading bot that connects to multiple exchanges through the CCXT ecosystem. It is designed to experiment with automated trading logic across exchanges such as Bitfinex, BitMEX, Binance, and Bybit. The bot supports multi-pair operation, technical indicators, configurable strategies, and exchange order workflows.

Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities.

Mask Network brings privacy and benefits from Web3 to social media like Facebook & Twitter - with an open-sourced browser extension. Use the Mask Extension to hide your content from prying eyes and allow only your target audience to see it. If you’re launching a new project on the Ethereum, BSC, Polygon, or Arbitrum networks, ITOs are a completely new way of launching decentralized assets fairly. With integrated widgets on social media platforms, you’ll be able to view the latest prices of...

Provide all the tools traders need, both professional and hobbyist alike, to create automated trading bots on the Coinbase Pro and supported digital asset exchanges. Note: Node 7.6 or above is required. The src/samples folder contains many working demo scripts showcasing different aspects of the toolkit, while the tutorials folder contains running demo programs to accompany the CBPTT documentation.

tribeca is a very low latency cryptocurrency market making trading bot with a full-featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is achieved using MongoDB. Installation is recommended via Docker, but manual installation is also supported.