WONG DAVID's starred repositories
TQuant-Lab
使用文件、程式範例
LPPLS-APPLIANCE
Log Periodic Power Law Singularity model
MultipleBubbles
:exclamation: This is a read-only mirror of the CRAN R package repository. MultipleBubbles — Test and Detection of Explosive Behaviors for Time Series
MultipleBubbles
:exclamation: This is a read-only mirror of the CRAN R package repository. MultipleBubbles — Test and Detection of Explosive Behaviors for Time Series
psymonitor
Real Time Monitoring of Asset Markets with R
BubbleTest
Bubble test based on Phillips, Shi and Yu (2015) and the MultipleBubbles package.
US_Economic_Data_Analysis
Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.
backtrader_ib_insync
Async integration between backtrader and Interactive brokers.
backtrader
Python Backtesting library for trading strategies
Lunar-Solar-Calendar-Converter
公历(阳历) 农历(阴历)转换,支持时间段从1900-2100 如果需要更长的时间段,利用generate.htm生成的数据即可。 支持各种编程语言 C#,java,Objective-C,php,Python,javascript(nodejs),C/C++,ruby,swift,golang等 支持Mac,Windows,Android,WP多种平台
piecewise_linear_fit_py
fit piecewise linear data for a specified number of line segments
stock-indicators-python
Stock Indicators for Python. Maintained by @LeeDongGeon1996
Historical-Volatility-Calculator
Calculate a stock's historical volatility using Yahoo Finance .CSV file
Marketwatch
Marketwatch is a tool with the aim of simplify the choice of purchase between CS:GO items in the steam community market.
CefSharp.MinimalExample
Minimal example of how the CefSharp library can be used
TaLibStandard
TaLib in C# for .NET Standard
TradeLogIB
Python script to download trades from IB TWS via API into .csv file which can then be imported into OptionNET Explorer.
YahooFinanceAPI
C# client library for the Yahoo Finance API
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data