chetanmehra Goto Github PK

-deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020_practice

aaai2022-hcm

Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data

aat

Asynchronous, event-driven algorithmic trading in Python and C++

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

aenea

Client-server library for using voice macros from Dragon NaturallySpeaking and Dragonfly on remote/non-windows hosts.

aeron

Efficient reliable UDP unicast, UDP multicast, and IPC message transport

ai-for-time-series-papers-tutorials-surveys

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

ai_for_trading_nanodegree_alpha_research_multi_factor_modeling_project

Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.

alacpd

Change-point detection using neural networks

alephnull

A python module for algorithmic trading and strategy validation

algorithmic-trading

Deep Learning – Artificial Neural Network Using TensorFlow In Python

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algorithmictrading-machinelearning

Deep Learning - Neural network (RNN, LSTM & GRU)

algotradingnse

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators

alphalens

Performance analysis of predictive (alpha) stock factors

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

alphatools

Quantitative finance research tools in Python

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

amazon-freertos

Cloud-native IoT operating system for microcontrollers.

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

analyzingalpha

anglican

Probabilistic Programming System Anglican

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aqfed.jl

Julia package for the book "Applied Quantitative Finance for Equity Derivatives"

arbitragerepair

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

arctic

High performance datastore for time series and tick data

artfeateng

Code for the book Art of Feature Engineering

arviz

Exploratory analysis of Bayesian models with Python