kitcharoenp's repositories
x_odoo_10_addons
module and extension for odoo 10
face_recognition
The world's simplest facial recognition api for Python and the command line
financial-market-data-analysis
Real-Time Financial Market Data Processing and Prediction application
kitcharoenp.github.io
This is My GitHub Pages
lxd_ansible_postgreSQL
Create LXD Containers with Ansible to manage PostgreSQL
markov-switching-multifractal
Python implementation of the Markov-Switching Multifractal model (MSM) of Calvet & Fisher (2004, 2008).
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
Octave
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
Python-for-Finance-Cookbook
Repository of Python for Finance Cookbook, published by Packt
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
StockInference-Spark
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
StockPrediction
Stock Prediction demo using Spring XD, Apache Geode and R. Presented at ApacheCon, IMCSummit and other conferences.
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.
TradingIdeas
Trading Strategies How to
tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
tspiral
A python package for time series forecasting with scikit-learn estimators.
xtradb-cluster-tutorial
PXC Tutorial