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trading-bot-bsc-solana

Here are 26 public repositories matching this topic...

CryptoQuant AI is an advanced, open-source quantitative trading platform designed to bridge the gap between algorithmic market execution and artificial intelligence. Built entirely on a modern Node.js, Vite, and TypeScript stack, this project provides a robust, highly responsive frontend dashboard paired with powerful automation capabilities.

  • Updated May 1, 2026
  • TypeScript

Kalshi trading bot for prediction markets — browse event contracts and watch the order book in real time, run market making and momentum/reversion strategies with paper trading, risk limits and position sizing. Educational toolkit — not financial advice. Unofficial community project, not affiliated with Kalshi.

  • Updated Sep 17, 2026
  • Python
cortex-ai-trading-bot

Next-gen AI crypto trading platform & execution framework powered by Claude AI and Google AI models. Real-time sub-50ms HFT order routing, TradingView signals, Bitget & AvaTrade connectors, and native MCP protocol integration for automated cryptocurrency trading.

  • Updated Sep 14, 2026
  • Python

MCP server for Aster DEX — a Model Context Protocol server that gives Claude, Cursor and Cline structured access to Aster DEX market data, volume, points and airdrop eligibility via natural language. Read-only tools — no trading, no keys. Unofficial community project, not affiliated with Aster.

  • Updated Sep 4, 2026
  • Python

基于okx交易所的2阶段价格行为ai自主交易机器人bot,2pa agent web界面,支持BTC等加密货币、黄金、原油、美股量化机器人,支持deepseek、longcat等openai兼容模型,实现ai agent自动盯盘,自动分析,自动交易,自动下单,止盈止损设置

  • Updated Sep 19, 2026
  • Python
Crypto-Ai-Trading-Bot

Crypto AI Trading Bot is a modern cryptocurrency analysis and trading platform that combines real-time market data, technical analysis, portfolio management, trading simulation, backtesting and AI-assisted market analysis into a single application.

  • Updated Sep 29, 2026
  • HTML

Fully automated Solana copy-trading bot: ranks top trader wallets, mirrors their buys in real time via WebSockets, screens tokens with 7 rug/honeypot checks, executes through Jupiter with simulate-before-send, and auto-manages TP/SL exits. PyQt6 desktop dashboard, Telegram control, Keychain + Touch ID security. Python/asyncio.

  • Updated Sep 20, 2026
  • Python

Engineered with a confluence-driven architecture combining ICT / Smart Money Concepts, a TradingView Chart Pattern Engine, TypeSafe Jev AI (System One) Cognitive Reasoning, Dynamic Leverage (10x–50x), and an interactive Rich Terminal Dashboard UI.

  • Updated Sep 30, 2026
  • Python

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