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Explore the skillMachine Learning For Trading
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Explore the skillstefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Explore the skillneurallayer
Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform
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Explore the skillthrasher-corp
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
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Explore the skilledtechre
Algorithmic Trading in Python with Machine Learning
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Explore the skillbarter-rs
Open-source Rust framework for building event-driven live-trading & backtesting systems
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Explore the skillricequant
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
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Explore the skillSinotrade
Shioaji all new cross platform api for trading ( 跨平台證券交易API )
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Explore the skillProviding the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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Explore the skillivopetiz
Algorithmic trading framework for cryptocurrencies.
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Explore the skillYvictor
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
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Explore the skillcoding-kitties
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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Explore the skillhummingbot
Open source software that helps you create and deploy high-frequency crypto trading bots
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Explore the skillchronoxor
High performance components for building Trading Platform such as ultra fast matching engine, order book processor
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Explore the skillroq-trading
C++ interfaces used to communicate with Roq's market gateways.
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Explore the skillDrakkar-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.
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Explore the skillxuboyuebobb
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.