Jammy :)'s starred repositories
algorithmic_trading_book
2 books and related source codes for algorithmic trading.
Quant-Developers-Resources
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms and HFTs
example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Statistical-Arbitrage
High-frequency statistical arbitrage
HFT_Bitcoin
Analysis of High Frequency Trading on Bitcoin exchanges
hftbacktest
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Hackerrank-Artificial-Intelligence
This repository contains the challenges about domains of Artificial Intelligence.
HackerRank
This repository includes HackerRank Solutions
Data-Analysis
Data Science Using Python
fecon235
Computational data tools for financial economics. Keywords: Jupyter notebook pandas statistics GDP inflation CPI PCE Fed FRED Ferbus unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency Eurozone euro yen FX USD EUR JPY XAU gold Brent WTI oil Holt-Winters time-series forecasting econometrics
SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Quant-Projects
Implementations of Leading Algorithms in Quantitative Finance
Options-Calculator
Option Calculator using Black-Scholes model and Binomial model
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization
Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.