Deterministic PineScript v6 backtest runtime. Validated trade-for-trade against TradingView: 307/311 strict on the open 312-strategy corpus + 396/396 on a closed 415-script community test — ~950k t…

Portfolio analytics for quants, written in Python

Stop getting your stops hunted. SL/TP never touch your broker - only fires when the underlying actually breaches your level. And skip the options chain: drag your levels on the chart, we auto-pick …

Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 250+ Indicators and Candlestick Patterns

A package that lets you create TradingView screeners in Python

News Aggregation · AI Ratings · Trading Signals · Real-time Updates

Claude Code for Financial Market

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

A nimble options research and backtesting library for Python

Python sync/async framework for Interactive Brokers API (replaces ib_insync)

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

Systematic Trading in python

Algorithmic Trading in Python with Machine Learning

Your one-person Wall Street. An AI trading agent covering equities, crypto, commodities, forex, and macro — from research through position entry, ongoing management, to exit.

This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Open-source Rust framework for building event-driven live-trading & backtesting systems

Markov regime detection skill + one-shot install prompt + Pine indicator. Companion to Quant Series video 1. Framework by Roan (@RohOnChain).

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds

A professional, reproducible environment for researching, backtesting, and executing algorithmic trading strategies.

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

The fastest way from backtest to live trading.

OpenTerminalUI — a trading terminal UI for market data, charting, screening, backtesting, and alerts.

"Vibe-Trading: Your Personal Trading Agent"

We automatically trade options via some simple algorithms and it's only applicable for Charles Schwab Accounts.

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

Interactive Brokers MCP Server

The open-source alternative to Claude Cowork (powered by opencode)

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