Pinned Repositories
Advanced_Feature_Engineering_of_Raw_Data_of_Stocks-with_PySpark
Features and labels engineering of raw data of quotes of several stocks.
ai_all_resources
A curated list of Best Artificial Intelligence Resources
awesome
😎 Awesome lists about all kinds of interesting topics
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Deep-Learning-Machine-Learning-Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Eigenportfolios
In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.
Inter-IIT-Quant
Repo Contains code of hypothesis that explored the tendency of the market to retrace and fill inefficiencies during Inter IIT 11.0 meet
SOC-2021
This project is all about coding an algo trading bot using Reinforcement Learning that makes decisions and trades itself
Tower-Research
This repository contains the code and related materials for my participation in the quantitative competition hosted by Tower Research Capital at IIT Bombay.
Vorlde's Repositories
Vorlde/ai_all_resources
A curated list of Best Artificial Intelligence Resources
Vorlde/awesome
😎 Awesome lists about all kinds of interesting topics
Vorlde/Deep-Learning-Machine-Learning-Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Vorlde/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Vorlde/Projects
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Vorlde/real-time-fxcm
High Frequency Intraday Trading
Vorlde/statistical-arbitrage
System for Testing Statistical Arbitrage Strategy
Vorlde/Statistical-Arbitrage-Strategy
The goal of this project is to implement a statistical arbitrage strategy as proposed in [Avellaneda and Lee 2010] and examine the strategy performance over a universe of 40 crypto currencies (or, tokens).
Vorlde/Tower-Research
This repository contains the code and related materials for my participation in the quantitative competition hosted by Tower Research Capital at IIT Bombay.
Vorlde/Inter-IIT-Quant
Repo Contains code of hypothesis that explored the tendency of the market to retrace and fill inefficiencies during Inter IIT 11.0 meet
Vorlde/SOC-2021
This project is all about coding an algo trading bot using Reinforcement Learning that makes decisions and trades itself
Vorlde/-WQU-MScFE-Capstone-Project
Source code of WQU MScFE Capstone Project - A Mean-Reverting Portfolio with DTW Clustering
Vorlde/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Vorlde/awesome-ai-in-finance
🔬 A curated list of awesome machine learning strategies & tools in financial market.
Vorlde/awesome-computer-science
An awesome list of everything that exists in Computer Science and Related fields. A live preview of the list can be found at the below link -
Vorlde/Coursera-Guided-Projects
Vorlde/Coursera-Tensorflow
Vorlde/Finsearch_Option_Pricing
Vorlde/LeetCode-Questions-CompanyWise
DSA Company Wise Questions
Vorlde/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Vorlde/Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
Vorlde/Multi-Strategy-Quant-System
This is a Python-based repository for a multi-strategy quant system. It provides a framework for implementing and testing various quantitative trading strategies on financial time series data, and can be used to generate buy/sell signals based on the outputs of those strategies.
Vorlde/numera-ai-scripts
The official example scripts for the Numerai Data Science Tournament
Vorlde/Pairs_trading-Capstone
Pairs trading via Deep Learning Approach
Vorlde/QuantResearch
Quantitative analysis, strategies and backtests
Vorlde/Reinforcement-Learning-for-Market-Making
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
Vorlde/rlf
Master thesis in reinforcement learning at Copenhagen Business School
Vorlde/Self-Projects
Vorlde/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us
Vorlde/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.