AI Agent Skills

Research a US equity across fundamentals, valuation, technical context, peers, and current market data.

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Asynchronous, event-driven algorithmic trading in Python and C++

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖

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…

Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automat…

Python Backtesting library for trading strategies

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_tra…

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

A system that performs algorithmic trading

A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!