Machine Learning For Trading
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Results: 125
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Sinotrade
Shioaji all new cross platform api for trading ( 跨平台證券交易API )
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#)
coding-kitties
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
hummingbot
Open source software that helps you create and deploy high-frequency crypto trading bots
banbox
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
0xfnzero
Rust SDK for low-latency Solana DEX trading bots with PumpFun, PumpSwap, Bonk, Raydium, Meteora, Jito, and SWQoS submit lanes.
roq-trading
C++ interfaces used to communicate with Roq's market gateways.
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.
Ceruleanacg
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Ashutosh0x
A high-performance, ultra low-latency trading terminal and AI-infused daemon built completely in Rust.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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