xtma

xtma's Stars

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.4k230

• hummingbot/hummingbot

  Open source software that helps you create and deploy high-frequency crypto trading bots

  Language:Python8.9k3k

• ZachGoldberg/Startup-CTO-Handbook

  The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

  10.3k498

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.4k455

• No-Trade-No-Life/Yuan

  Yuan - Personal Investment Operating System

  Language:TypeScript31241

• nkaz001/hftbacktest

  A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

  Language:Rust2.1k419

• kernc/backtesting.py

  :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

  Language:Python5.7k1.1k

• abides-sim/abides

  ABIDES: Agent-Based Interactive Discrete Event Simulation

  Language:Python400121

• silahian/VisualHFT

  VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.

  Language:C#772161

• zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books

  This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

  Language:Jupyter Notebook425219

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.7k4.3k

• TradeMaster-NTU/TradeMaster

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

  Language:Jupyter Notebook1.5k300

• LeonardoBerti00/Axial-LOB-High-Frequency-Trading-with-Axial-Attention

  Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'

  Language:Jupyter Notebook5019

• Nakols/HFformerV2

  Language:Jupyter Notebook268

• yuxiangalvin/DeepLOB-Model-Implementation-Project

  This repo contains some codes and outputs of my implementation of DeepLOB model.

  Language:Jupyter Notebook8033

• YangRui2015/RORL

  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"

  Language:Python184

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k135

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.2k101

• HuaRongSAO/talib-document

  talib学习 talib中文翻译 talib中文文档

  1.7k566

• nuria95/O-RAAC

  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting

  Language:Python334

• nicklashansen/tdmpc

  Code for "Temporal Difference Learning for Model Predictive Control"

  Language:Python38356

• UM-ARM-Lab/pytorch_mppi

  Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch

  Language:Python48063

• inspirai/TimeChamber

  A Massively Parallel Large Scale Self-Play Framework

  Language:Python32032

• google-research/rliable

  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  Language:Jupyter Notebook78848

• billryan/resume

  An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

  Language:TeX9.4k2.6k

• YeWR/EfficientZero

  Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

  Language:Python877137

• RayeRen/acad-homepage.github.io

  AcadHomepage: A Modern and Responsive Academic Personal Homepage

  Language:SCSS1.6k3.1k

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k203

• zotero/zotero-ios

  Zotero for iOS

  Language:Swift24133

• Wenxuan-Zhou/PLAS

  Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]

  Language:Python5114