Pinned Repositories
awesome-research
:seedling: a curated list of tools to help you with research/life
pyqstrat_example_strategies
For users of pyqstrat to submit example strategies for feedback and discussion in the pyqstrat groups.io group
zouhx11's Repositories
zouhx11/pyqstrat_example_strategies
For users of pyqstrat to submit example strategies for feedback and discussion in the pyqstrat groups.io group
zouhx11/awesome-research
:seedling: a curated list of tools to help you with research/life
zouhx11/binance-public-data
Details on how to get Binance public data
zouhx11/BQuant
zouhx11/cookbook
Companion files to the kdb+ Knowledge Base
zouhx11/coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
zouhx11/Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
zouhx11/DeepWeb
暗网网址大全TOR
zouhx11/DemARK
Demonstrations of how to use material in the Econ-ARK
zouhx11/DL-NLP-Readings
My Reading Lists of Deep Learning and Natural Language Processing
zouhx11/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
zouhx11/EquityCharacteristics
Calculate U.S. equity (portfolio) characteristics
zouhx11/ExamplePackage.jl
Testing Julia and Github
zouhx11/historical-volatility-calculations
zouhx11/lecture-source-py
Source files for "Lectures in Quantitative Economics" -- Python version
zouhx11/Market-Report-Generator
通过Wind数据库数据自动生成券商研报常规部分。
zouhx11/mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
zouhx11/PhD403
PhD 403: Empirical Asset Pricing
zouhx11/pyqstrat
A fast, extensible, transparent python library for backtesting quantitative strategies.
zouhx11/python-geospatial
A collection of Python packages for geospatial analysis with binder-ready notebook examples
zouhx11/quantecon-notebooks-python
A Repository of Notebooks for the Python Lecture Site
zouhx11/QuantEcon.jl
Julia implementation of QuantEcon routines
zouhx11/QuantLibPython
Example Python scripts for interest rate modelling and QuantLib usage
zouhx11/REMARK
Replications and Explorations Made using the ARK
zouhx11/StateSpaceRoutines.jl
Package implementing common state-space routines.
zouhx11/Stock-Price-Predictions
We compiled the analyst reports from Morningstar for 15 largest companies in retail and technology sector and extracted the specific text. Then extracteed sentiments using VADER general sentiment lexicon and through Loughran and MCdonald financial sentiment lexicon. S&P Capital IQ and Yahoo Finance was also our data source. We applied statistical modeling, both linear and logisitc regressions to predict the percentage change in the stock price from day of publication of report to 3 time periods and our model showed some sigificant results with over 95% accuracy and validated our hypothesis.
zouhx11/vnpy-zhx
基于Python的开源量化交易平台开发框架
zouhx11/vnpy_deribit
vn.py框架的Deribit交易接口
zouhx11/vnpy_webtrader
VeighNa框架的Web端管理服务器
zouhx11/zouhx11.github.io