Tag
#quantitative-finance
97 repositories
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[🔥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
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
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
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
Binance_grid_trader is a grid strategy bot trading with Binance Spot and Binance Futures Exchange. you can use it to trade any pair in Binance Exchange. Binance_grid_trader是一个币安网格策略软件, 目前支持币安现货，USDT合约和币币合约。
NexusTrader is a professional-grade open-source quantitative trading platform designed by Scott Zhang
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
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
Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests
A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线
A Python framework for managing positions and trades in DeFi
A grid trading strategy and trading-bot for Binance Exchange.币安交易所网格交易套利策略.稳定量化交易策略
The Self-Evolving Agent Ecosystem — Trading agents that evolve through Darwinian selection and adversarial self-play
Easy-to-use cryptocurrency trading strategy simulator and backtester
Open-source prediction market trading platform for Polymarket & Kalshi. Write full Python strategies & data sources, backtest them, then paper or live trade. 25+ built-in strategies, copy trading, AI scoring, real-time dashboard. One-click setup.
The modular liquidity hub. Trade spot assets, mint options, earn hedged yield.
Python API for accessing Lake high frequency tick trades & order book data
Framework for quantitative strategies development, backtesting and live execution.
Academic python library that records changes to instances of the limit order book for pairs supported on the coinbase exchange.
An open-source toolkit for quantitative analysis of crypto & stock markets, featuring an advanced market screener, portfolio backtester, and companion tools for the Gunbot trading bot.
Unofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.
PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame
Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha
Efficiency-first framework for pulling, storing, and aggregating Kraken data using the v2 API.
Advanced ML-powered analyzer for hyperliquid.xyz vaults with portfolio optimization and risk analysis. Features include intelligent weight allocation, risk-adjusted return optimization, performance prediction, and comprehensive reporting
A simple tool-kit written in python for sourcing and displaying macroeconomic and financial data.
Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.
A research-grade lab for stress-testing DeFi protocols using Solidity mini-systems, a Python simulation engine, and a Streamlit dashboard. Simulates price crashes, liquidity shifts, AMM behavior, lending liquidations, and systemic risk dynamics. Designed for DeFi engineers, auditors, and researchers.
A deep exploration of the economic physics governing DeFi crashes, AMM decay, liquidity spirals, and liquidation cascades. This article models decentralized finance as a nonlinear system driven by invariants, thresholds, and feedback loops, revealing why crashes follow predictable laws of motion.
An example of how to manage Curve/Convex positions & rewards with the Eulith Python client.
👾 blockchain infrastructure projects and resources (e.g., ethereum event scanner, on chain analysis, data pipelines, etc.)
Open-source Freqtrade strategy from the TrendRider crypto bot. Live stats: trendrider.net/live
Mythical rarity Trading System; Track popular token creators, snipe in slot 0, buy into migrated tokens dips, and much more... on Pump.fun & Pump.fun AMM.
Rust framework for developing, backtesting, and deploying algorithmic trading strategies for Bitcoin futures.
A Lightweight Python Package for Low-Latency and Cross-Exchange Trading.
ATOMIC MESH — Distributed deterministic HFT market-making engine. Avellaneda-Stoikov strategy with sub-microsecond C++ hot-path (575ns), event-sourced architecture, VPIN toxicity detection, QUIC mesh transport, real-time dashboard. Rust + C++17 FFI. Live on Binance.
📈 Bitcoin trading system using Hidden Markov Models for market regime detection. Real-time signals, multi-timeframe analysis & interactive regime visualization.
Python Repository to ingest, feature engineer, train, backtest, and run a random forest model to predict the direction of the S&P500 at the start of the next day's trading session.
Algorithmic trading, backtesting, and MEV research for Solana. Local-first, free data, Drift-native.
Transparent and Stateless Agent for OnChain Financial Models. (Currently on alpha stage)
In this project I aim to explore the applicability of fundamental analysis from TradFi in the DeFi landscape by running a DCF model on the Aave protocol.
Quantum Trading Bot- By R&A Consulting and Brokerages Services
End-to-end Quantitative Trading System. Research logic in Python (Pandas/Numba) compiled to a high-performance C++ execution engine. Achieves ~10ms latency via AWS Tokyo colocation.
Build and manage financial data terminals using Rust with real-time updates via WebSocket and a terminal UI powered by Ratatui and Tokio.
Code for quant analysis of Morpho Markets and simulation reallocation process in MetaMorpho
Designed a portfolio through the application of 15 Technical Analysis indicators to Ethereum cryptocurrency
Interval Forecasting of Cryptocurrency Returns using Quantile Regression Forests: MSc Research Project
An AI-enhanced quantitative trading framework for research, backtesting, and automated crypto features trading.
Regime-Adaptive ML Risk Parity Engine — ERC-4626 Tokenised Crypto Index Vault with GARCH-DCC, Bayesian HMM & Deep RL Ensemble
Detect mempool swaps and execute priority-gas trades for fast ETH arbitrage gains on Uniswap
Vol-aware Sui yield vault with live Cetus LP, Scallop lending, and automated risk/queue controls.
AI-powered Pump & Dump Detection System for Solana Blockchain using Machine Learning & Technical Analysis. Built for research and educational purposes.
Transformer-based crypto trading research stack for 15-minute SOL data, evaluation, and live scoring experiments.
🧪 Simulate and analyze DeFi risks through stress-testing scenarios for smart contracts and models in a user-friendly, research-grade environment.
Go tool to download and aggregate Binance aggTrades into hourly bars with order flow metrics and adaptive whale detection (rolling P99/P99.9). Designed for neural network training with Parquet output.
R package for backtesting & tuning Martingale/DCA crypto bots: Binance data, fast C++ engine, risk controls (SL/TP/Trailing), rich visualization.
⚡ Optimize your trading with Mew-X, a high-performance bot powered by analytics for smart decision-making and automated strategies.
Automated scalping engine for Pacifica Exchange featuring WebSocket resilience and server-side risk management.
Multi-layer market regime classifier — BTC trend (BULL/BEAR/CHOPPY/TRANSITION), GOLD macro (RISK_ON/OFF), contrarian Fear & Greed
Multi-strategy crypto portfolio optimization dashboard — 7 allocation strategies, GJR-GARCH volatility, HMM regime detection, on-chain signals, walk-forward backtesting, and real-time Binance prices. Built with Plotly Dash.
Crypto momentum/rotation research framework. Walk-forward backtest + Fact Sheet generator for BTC, ETH, SOL. For educational use only.
AERA: local-first workstation for quantitative research, visualization, and backtesting.
Cross-market arbitrage bot for Polymarket prediction markets with AI-powered fair value estimation, Kelly criterion sizing, and real-time Streamlit dashboard
AI-Powered Momentum with Mean-Reversion Hybrid Yield Vault on Solana | Ranger Build-A-Bear Hackathon
Real-time Global Semiconductor Supply Chain API. Programmatic JSON-LD feed for Nvidia H100, B200, TSMC 3nm/5nm wafer pricing, ASML EUV capacity & silicon spot markets. Optimized for autonomous AI agents, LLM-scrapers & hedge fund quant-trading. Supports HTTP 402 M2M Solana settlement. Essential data for Bloomberg, Reuters & supply chain disruption.