Chihab AKAOUI's Projects
Design pattern for critical stages in the development process of an AI Stock Trading Bot
Config files for my GitHub profile.
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
List of awesome resources for machine learning-based algorithmic trading
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A Bank Product Recommender System
Cryptocurrency Price Prediction Using LSTM neural network
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
Using deep actor-critic model to learn best strategies in pair trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
playing idealized trading games with deep reinforcement learning
Stock Market Decision Support System using Deep Learning & Sentiment Analysis
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat
Distributed Asynchronous Hyperparameter Optimization in Python
Tools for stock market analysis.
๐ Survey papers summarizing advances in machine learning.
An example algorithm for a momentum-based day trading strategy.
Python API and command line interface for the numer.ai machine learning competition
Extract data from a wide range of Internet sources into a pandas DataFrame.
๐งช Simple data science experimentation with jupyter, papermill, mlflow.
Function for Natural language processing with PYTHON
Options to Transform Data
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Stock analysis/prediction model using machine learning
Portfolio analytics for quants, written in Python
Regression, Scrapers, and Visualization