FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
FinRL®: Financial Reinforcement Learning. 🔥
Plataforma de trading gratis y de código abierto para Mac (con guía para portarla a Windows con Claude): footprint, DOM, backtesting anti-sobreoptimización y estrategias con IA. 100 % local.
Autonomous trading agents with deterministic execution. The agents propose; the system decides.
Free, open source crypto trading bot
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
"Vibe-Trading: Your Personal Trading Agent"
Production-grade Rust-native trading engine with deterministic event-driven architecture
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
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.
Transparent and Efficient Financial Analysis
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
Algorithmic Trading in Python with Machine Learning
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。
The Open Source Trading Ecosystem for Everyone.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Trading bot running on Bybit, Bitget, OKX, GateIO, Binance, Kucoin, WEEX and Hyperliquid
Technical analysis library: indicators and candlestick patterns, batch and streaming, native in C, Rust, Java, C#... and more
Node Binance API is an asynchronous node.js library for the Binance API designed to be easy to use.
The Official Python SDK for Alpaca API
Docker image with IB Gateway/TWS and IBC
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.
免費開源的投資反詐、交易統計與自動化交易程式工具:預設 PaperBroker,提供 14 種券商/交易所選項;交易紀錄分析在本機執行。
Open Source algo trading platform
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Free strategy scorecard for trading backtests. Detect overfitting, weak edge, drawdown risk, and random-timing luck from returns, equity curves, or trade logs.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Free self-hosted liquidity bot for token issuers who want to improve CEX market quality without sending tokens, funds, or API keys to a third-party market maker.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
Candlestick patterns detection.
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
Paper trading simulator for Polymarket
结合多大模型分析与确定性代码风控的自主量化交易系统 | Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.
Event-driven algorithmic trading engine for .NET. Write a strategy once and run it unchanged in backtest, paper and live trading, deterministic, with fixed-point money and adapters for Binance, Bybit, OKX, Kraken, Bitget, Gate, KuCoin and Hyperliquid.
One open-source API for prediction markets. Trade Kalshi, Polymarket, Polymarket US and Opinion with one Python SDK: unified market data, smart order routing across venues, and advanced order types. Plus tick-level Kalshi order book history.
AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go live through Zerodha Kite or Kotak Neo. Day replay, kill switch, daily loss halt, terminal dashboard.
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
Independently analyze ROI, win rate, and PnL using the public Hyperliquid API, detect martingale/grid recovery strategies, and assess maximum drawdown and risk-adjusted returns. Read-only terminal checker — no trading, no API keys. Unofficial community project, not affiliated with Hyperliquid.
QuantBot(AI 量化机器人)的全量源码。基于 **Go+React + TypeScript + Vite** 构建,通过 **Wails** 与 Go 后端通信,提供 A 股量化交易的图形界面:六维判势、多因子选股、AI 智能体决策、策略回测、实时活动、审计日志等。
👑 Enterprise-grade, high-frequency quantitative scalp trading engine for XAUUSD (Gold). Driven by PyTorch (TCN + Self-Attention), Smart Money Concepts (SMC/ICT) , Win32 C++ MT5 IPC bindings, and a real-time FastAPI Canvas Web Dashboard.
"🐳 Dsh-Quant: The Everything-Plugin Ai native Quant OS "
500+ algorithmic-trading skills for AI coding agents in the agentskills.io format. Every skill ships a working Python reference implementation and its own tests - 20,291 in CI. Broker APIs, backtesting, risk, execution, ML, compliance and 10 more domains. Apache-2.0
Real Magic Robot 3.0 (PREMIUM) — Vollautomatisches MetaTrader 4/5 Trading-System (EA) für Forex & Gold. Adaptiver Volatilitätsfilter, Low-Latency Ausführung & Prop-Firm-Risikoschutz. Inklusive deutscher Masterclass & Dokumentation.
Autonomous AI trading system powered by Kronos. Forecasts markets, builds portfolios and paper-trades automatically with GitHub Actions.
Open-source AI-native quant trading workstation for OKX crypto markets (Windows/macOS). Charts, order execution, AI trading assistant & automation behind code-enforced risk gates, Python strategy backtesting. 开源 AI 量化交易工作台:AI 自动交易、策略回测。
Technical review and architecture analysis of Scorpio Scalper for MT4. Explore how this MQL4 multi-pair trend dashboard optimizes manual scalping workflows, reduces UI overhead, and streamlines alert pipelines.
⚡ Ultimate AI-Powered OTC Signal Engine & Predictor for Quotex and QXbroker. 90.57% verified win rate, automated Telegram alerts, and 24/7 autopilot.