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Welcome to the landing page for Fordham University's Python Seminar.
I implemented several algorithms with Python and R, some of them are about financial engineering and some of them are about computer science
Algorithmic Trading, Baruch course project
金融交易模型
Baruch MFE program quant lab
Classwork containing projects from Computer Science 1, Computer Science 2, Data Structures, Operating System, Network Client-Sever, and Algorithms.
CoFE: Collaboration in Financial Economics
Assignments submitted for the Certification in Quantitative Finance (CQF) 2016
📚 Computer Science Books 计算机技术类书籍 PDF
All of my files related to Matlab and my Cs 30 Class
Selected projects from relevant coursework using R
Coursera specialisation for Excel-VBA for Creative Problem Solving
Optimization: Bisection, Brent method, Muller-Bisection, Newton method, New newton (brent as fill-in), New Harley (brent as fill-in), Halley's irrational formula
Some financial models for students to learn, including different VaR models, Liquidity model and Geske model.
Interactive Broker API
• 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)
Data Mining project to determine the probability of winning for a total of 2,278 bracket combinations in the 2017 NCAA March Madness Competition
Acquire option data from web and provide mining and visualization
projects from my class
Materials from Python seminars given at Fordham University.
This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com
Exercises with R language (math+statistics)
R 语言常用的 代码片段
This directory includes all the R-functions I wrote. Data are included in data_folder
School project at Fordham MSQF program
A two-step learning method that use probe learning firstly to find and remove outliers, and then use new training set to train and predict
STAT222, UC Berkeley, 2014
30天掌握量化交易 (持续更新)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.