Lam Nguyen's repositories
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
avellaneda-stoikov
Avellaneda-Stoikov HFT market making algorithm implementation
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Building-Alexa-Skills-for-Home-Automation-with-Raspberry-Pi
Building Alexa Skills for Home Automation with Raspberry Pi, published by Packt
gs-quant
Python toolkit for quantitative finance
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
jira-clone-angular
A simplified Jira clone built with Angular 9, ng-zorro and Akita
learn-python-and-ethical-hacking-from-scratch
Repository for all the projects in the "Python & Ethical Hacking From Scratch" course by Zaid Sabih and zSecurity
linux-programming-interface
My exercises solutions for the book "The Linux Programming Interface"
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
myjournal
Public documentation space
orchestrator
MySQL replication topology management and HA
python-and-ethical-hacking
My code for the Udemy course - "Learn Python & Ethical Hacking From Scratch" (https://www.udemy.com/course/learn-python-and-ethical-hacking-from-scratch/)
Python-Network-Programming-Cookbook-Second-Edition
Python Network Programming Cookbook – Second Edition, published by Packt
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
rbuild
Remote building workflow
ReactiveTraderCloud
Real-time FX trading showcase by Adaptive.
redis-product-search
Visual and semantic vector similarity with Redis Stack, FastAPI, PyTorch and Huggingface.
research_public
Quantitative research and educational materials
Resume-template-angular-6
just a workable resume i made for fun
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
vibrat-public
All my public content redirects here
Vim-Masterclass
Vim Masterclass, published by Packt
woo-next
:rocket: React WooCommerce theme, built with Next JS, Webpack, Babel, Node, Express, using GraphQL and Apollo Client
zguide
Learning and Using ØMQ