Pinned Repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
448Project
High Frequency Trading
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
Artificial-Intelligence-on-Ascending-Triangle-Pattern-of-Stock-Markets
It's an UROP in HKUST
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
Financial-Time-Series_Analysis
HFT_Bitcoin
Analysis of High Frequency Trading on Bitcoin exchanges
kPCA-in-high-frequency-trading
• Partition trading time series data into 30 minutes intervals by picking the mean transaction price and volumes in each interval and compute the log-return (aka ’U sequence’) and write it into a corresponding csv file: JNJ_1004_1015_2010_HFT_30min_.csv • Visualize the high frequency data with PCA by using 2 or 3 PCs: you need to calculate the variance explained ratios for your visualization. • Identify outliers in your PCA analysis • Visualize it by using KPCA and compare its results with those of PCA (you need to at least try two kernels)
Machine-learning-for-financial-market-prediction
Machine Learning for Financial Market Prediction
zxlwrz's Repositories
zxlwrz/benzinga_movers_scraper
Web Scraper for Pulling Stock Movement Headlines From Benzinga
zxlwrz/financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
zxlwrz/awesome-knowledge-graph
整理知识图谱相关学习资料
zxlwrz/Make_Money_with_Tensorflow_2.0
This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval
zxlwrz/equity-portfolio-prediction
zxlwrz/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
zxlwrz/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
zxlwrz/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
zxlwrz/DLQuant
Applying Deep Learning and NLP in Quantitative Trading
zxlwrz/Machine-learning-for-financial-market-prediction
Machine Learning for Financial Market Prediction
zxlwrz/School-Projects
For storing school projects: homework and research etc.
zxlwrz/pythondata
repo for code published on pythondata.com
zxlwrz/ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
zxlwrz/Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
zxlwrz/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
zxlwrz/alpha-scientist
zxlwrz/RLQuant
Applying Reinforcement Learning in Quantitative Trading
zxlwrz/Python-for-Data-Science
A blog for data analytics with Python
zxlwrz/datacamp_tutorials
zxlwrz/448Project
High Frequency Trading
zxlwrz/RiskEx
Data Mining, Time Series Analysis, and NLP on Bitcoin Related News Events
zxlwrz/kPCA-in-high-frequency-trading
• Partition trading time series data into 30 minutes intervals by picking the mean transaction price and volumes in each interval and compute the log-return (aka ’U sequence’) and write it into a corresponding csv file: JNJ_1004_1015_2010_HFT_30min_.csv • Visualize the high frequency data with PCA by using 2 or 3 PCs: you need to calculate the variance explained ratios for your visualization. • Identify outliers in your PCA analysis • Visualize it by using KPCA and compare its results with those of PCA (you need to at least try two kernels)
zxlwrz/Milk-Production-forecasting-using-Time-Series-Analysis-ARIMA-
A time series is a series of data points indexed (or listed or graphed) in time order. Time series analysis comprises methods for analysing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Here, ARIMA (autoregressive integrated moving average) model will be used to forecast the milk production for next 2 years.
zxlwrz/Data-Analysis
Data Analysis Using Python
zxlwrz/pattern-recognition
a simple model about stock market
zxlwrz/Artificial-Intelligence-on-Ascending-Triangle-Pattern-of-Stock-Markets
It's an UROP in HKUST
zxlwrz/handong1587.github.io
zxlwrz/scratch_mlp
Explaining the Math of how neural networks learn
zxlwrz/Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
zxlwrz/HFT_Bitcoin
Analysis of High Frequency Trading on Bitcoin exchanges