Machine Learning For Trading
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Results: 99
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
ricequant
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
barter-rs
Open-source Rust framework for building event-driven live-trading & backtesting systems
pmxt-dev
CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.
QuantConnect
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
hummingbot
Open source software that helps you create and deploy high-frequency crypto trading bots
0xfnzero
Rust SDK for low-latency Solana DEX trading bots with PumpFun, PumpSwap, Bonk, Raydium, Meteora, Jito, and SWQoS submit lanes.
Drakkar-Software
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
xuboyuebobb
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
michaelgrosner
A high frequency, market making cryptocurrency trading platform in node.js
NoFxAiOS
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Geeksfino
Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.
himself65
Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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