Pinned Repositories
002_MachineLearning_eBook
Advanced-machine-learning
AIT_Trading_Algorithms
Alpha Factors and Trading Algorithms on Quantopian created by Philip Kiely, Richard Greenbaum, Rudolph Hernandez, and Alex Foster for our Data Mining final project.
awesome-algorithmic-trading
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
EliteQuant_Python
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
gnidart
Reference for Financial Trading
Machine-Learning-and-Reinforcement-Learning-in-Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Quantum-Machine-Learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web [krishnakumarsekar/awesome-quantum-machine-learning]
Quick-Ref-Cheat-Sheets
Quick-Ref-Cheat-Sheets
uhasan1's Repositories
uhasan1/Quantum-Machine-Learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web [krishnakumarsekar/awesome-quantum-machine-learning]
uhasan1/QLExtension-backup
uhasan1/Quick-Ref-Cheat-Sheets
Quick-Ref-Cheat-Sheets
uhasan1/Algos
Implementation of well-known (and some rare) algorithms, mostly in C++
uhasan1/awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
uhasan1/Business-Valuation-with-Discounted-Cash-Flow-In-Python
Stocks and Assets Valuation via Discounted Cash Flow with Python
uhasan1/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
uhasan1/cvxportfolio
Portfolio optimization and simulation in Python
uhasan1/DROP
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
uhasan1/Finsharpe-advisors
Code and data from Finsharpes blogs
uhasan1/go
The Open Source Data Science Masters
uhasan1/Health-care-Insurance-prediction-using-regression
uhasan1/lists
The definitive list of lists (of lists) curated on GitHub
uhasan1/MFE-codes
my MFE codes
uhasan1/ModSimPy
Text and supporting code for Modeling and Simulation in Python
uhasan1/MonteCarloFundSimulator
A Monte Carlo fund simulator for VC funds to model different deployment strategies (by RaedVentures)
uhasan1/Portfolio-Optimization
MVO, Resampled MVO & CVaR Portfolio
uhasan1/portfolio_analytics
uhasan1/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
uhasan1/Quantitative-Finance
Clement's repo
uhasan1/QuantResearch
Quantitative analysis, strategies and backtests
uhasan1/QuantTrading
A real-time quantitative trading/backtesting platform in C#, supporting IB (full brokerage) and Google Finance (quote only). It adds R support through R.NET.
uhasan1/ReIns
Functions from the book "Reinsurance: Actuarial and Statistical Aspects"
uhasan1/Riskfolio-Lib-2021-
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
uhasan1/Shooter
uhasan1/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
uhasan1/ThinkComplexity2
Book and code for Think Complexity, 2nd edition
uhasan1/ThinkDataStructures
LaTeX source and supporting code for Think Data Structures: Algorithms and Information Retrieval in Java
uhasan1/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
uhasan1/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition