Tag
#quantitative-trading
41 repositories
Repos
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
List of awesome resources for machine learning-based algorithmic trading
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.
Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Open source crypto trading platform to automate trading strategies.
Easy-to-use cryptocurrency trading strategy simulator and backtester
Automated trading bot for Hyperliquid with three independent strategies — production-grade TypeScript, real-time WebSocket execution
Python API for accessing Lake high frequency tick trades & order book data
**每日定时更新港股买卖建议**实践人机混合智能的理念，开发具备变现能力的金融资产智能量化分析助手。系统整合大模型智能决策与机器学习预测模型，实时监控加密货币、港股、黄金等金融市场。
该项目是我在HKU量化交易课程期末的项目，旨在复现他人的交易策略。 我复现的是一篇关于加密货币的交易策略的论文，论文原作者为YUKUN LIU,ALEH TSYVINSKI,XI WU，于2022年首次发刊，通过规模、动量、交易量以及波动性这四类主题因子，分析不同特征下加密货币的市场表现。
Hunter is a quant level crypto trading bot executing on-chain trades with live PnL, smart token scanning, microstructure analysis, and adaptive risk control. Uses weighted multi-factor analysis and heuristic algorithms for intelligent decision-making. Updated in real time. If you find this project useful, drop a ⭐️ to support it
Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.
Encoder-decoder neural network model trained to predict future diff log of moving average ETH-USD price. No longer viable.
A Lightweight Python Package for Low-Latency and Cross-Exchange Trading.
WaspBot is a high-performance trading bot library written in TypeScript, providing the essential building blocks for creating, testing, and running algorithmic trading strategies across multiple exchanges.
Open-source grid trading bot (live + testnet) with Django dashboard, Nautilus Trader backend, dynamic grids, risk controls & real-time monitoring.
Low-latency trading data engine exploring institutional market-making, oracle aggregation, and execution-oriented system design.
RustFi Hackathon: where Rust, Financial Markets and Web3 meet
🤖 Power your trading with an AI-driven crypto bot that delivers live data, trading strategies, charts, news, and market session timelines.
Designed a portfolio through the application of 15 Technical Analysis indicators to Ethereum cryptocurrency
CryptoWatch V4: Fully automated cryptocurrency market monitoring tool, supporting multi-currency backtesting, AI signal prediction, live Dry-Run, and real-time email alerts.
TradeForge: A Python-based trading platform with real-time market data visualization, technical indicators, ML-driven predictions, backtesting, and simulated trade execution — all in a Streamlit dashboard.
📊 Extract 30+ trading metrics (CVD, VWAP, Imbalance, Exhaustion, Large Trades) from Bybit BTC/USDT order book and trade data. Built with Polars for 10x speed. Kaggle-ready pipeline processes 245 days in 4-5 hours.