asawq2006

Pinned Repositories

Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Language:Jupyter Notebook1 0 00
algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Language:Jupyter Notebook10
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Language:Python1 0 00
angular.js
HTML enhanced for web apps
Language:JavaScript1 2 00
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Language:Python10
backbone-fundamentals
A creative-commons book on Backbone.js for beginners and advanced users alike
Language:JavaScript1 2 00
blueprint
A React UI toolkit for the web
Language:TypeScript1 2 00
coursera-compinvest1
Georgia Institute of Technology - Computational Investing by Tucker Balch
Language:Python10
CS7646-Machine-Learning-for-Trading
Assignments as part of CS 7646 at GeorgiaTech under Dr. Tucker Balch in Fall 2017
Language:Python10
High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Language:Python2 0 00

asawq2006's Repositories

asawq2006/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Language:Python2 0 00
asawq2006/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Language:Jupyter Notebook1 0 00
asawq2006/algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Language:Jupyter Notebook10
asawq2006/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Language:Python10
asawq2006/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Language:Python1 0 0
asawq2006/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
1 0 0
asawq2006/ilmanen_expected_returns
Language:R1 0 0
asawq2006/legout.github.io
1
asawq2006/pysystemtrade
Systematic Trading in python
Language:Python1 0 0
asawq2006/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Language:Python1 0 0
asawq2006/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Language:Python1 0 0
asawq2006/Wifey-Miro
1 0 0
asawq2006/Analysis-on-systematic-trading-strategies
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
asawq2006/book_irds3
Code repository for Pricing and Trading Interest Rate Derivatives
asawq2006/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust to everyone.
asawq2006/course-materials
asawq2006/cs224n-win2223
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
asawq2006/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Language:Jupyter Notebook0 0
asawq2006/Identifying-classification-rules-for-a-light-sensor-that-is-placed-on-a-outdoor-location
Language:Jupyter Notebook
asawq2006/Information-Retrieval-
Language:C++1 0
asawq2006/IR-in-Arabic
asawq2006/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
asawq2006/QuantInvestStrats
Quantitative Investment Strategies (QIS) package implements analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
asawq2006/QuantResearch
Quantitative analysis, strategies and backtests
asawq2006/sample-market-maker
Sample BitMEX Market Making Bot
asawq2006/short-term_momentum_strategy
Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.
asawq2006/SlackLogViewer
A viewer for json files exported from Slack workspaces.
Language:C++0 0
asawq2006/stanford-229-Machine-Learning
Assignment and exercise during fall 2015
Language:MATLAB1 0
asawq2006/systematic-trader
asawq2006/VolatilityIsMostlyPathDependent
Code for the paper Volatility is (mostly) path-dependent