为量化开发者/量化研究员/量化交易员/量化分析师/软件工程师准备的资源，涵盖量化交易公司、高频交易和对冲基金
- Artificial Intelligence
- BrainTeasers_Puzzles
- C++
- Computer Architecture
- Computer Networks
- Credit Risk Modeling
- Digital Logic
- Distributed Systems
- Econometrics
- FPGA
- Financial Theory
- Game Theory
- High Performance Computing
- Mathematics
- Poker Theory
- Projects
- Sentiment Analysis Trading Strategy using Sentimental Data
- ARIMA + GARCH Trading Strategy on Stock Market Using Python and R
- Automated Algo Trading Strategy using EMA and Bollinger Bands
- Bollinger Bands Trading Strategy
- CoIntegration-Based Pairs Trading Strategy
- Deriving & Numerically Solving the Black-Scholes PDE using Python
- LSTM based Time-Series Forecasting for Algorithmic Trading
- Option Chain Analyser and Payoff Visualizer Using Python
- readme.md
- Python
- QuantCompaniesList.md
- QuantCompetition_Fellowships.md
- Quantum Computing
- R
- README.md
- Reinforcement Learning
- ResumeTemplates
- SQL
- Technical_Indicators
- TextBooks
所有权归 github.com/cybergeekgyan/Quant-Developers-Resources 拥有。本站仅提供github文件链接，不对仓库内容负责
