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All notes and materials for the CS229: Machine Learning course by Stanford University
Performance analysis of predictive (alpha) stock factors
Multimodal Large Language Model for Code Generation under Multimodal Scenarios
专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
全网最全-币圈区块链各类常用工具与相关信息资料大全-虚拟加密货币-欧易OKX币安Binace芝麻开门Gate-App注册-NFT-Defi-加密钱包-比特币-新手入门教程 -持续更新
The Stanford's Machine Learning Course gave me a solid mathematical foundation for Machine Learning! Here are my problem set solutions for the course.
Python implementation of popular machine learning algorithm
A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks
Funding rate arbitrage on cryptocurrency.
Detect in-market cryptocurrency arbitrage
Papermark is the open-source DocSend alternative with built-in analytics and custom domains.
A repository with self studied material and answers.
All notes and materials for the CS229: Machine Learning course by Stanford University
My notes for Stanford's CS229 course
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Modeling high-frequency limit order book dynamics with support vector machines
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
A python implementation of a local copy of a Binance Orderbook.
A spot-futures funding rate arbitrage bot that profits on market inefficiencies by opening market-neutral positions and earning funding fees. This alternative investment allows users to gain about …
Contains all code from paper: "Data-Driven Estimation in Equilibrium: An Inverse Variational Inequality Approach"
Minimax Optimization, Monotone Variational Inequalities
Elegant LaTeX Template for Working Papers