Python Trading-algorithms Resources

Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline d

Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po

WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p

Where Got Time(table)? A timetable optimsier which uses an evolutionary algorith

Introduction PAMI stands for PAttern MIning. It constitutes several pattern mining algorithms to discover interesting patterns in transactional/tempor

Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de

Welcome to the Hacktoberfest 2018 Hello-world 📋 This Project aims to help you to get started with using Github. You can find a tutorial here What is

Algorithmic Trading in Python This repository Course Outline Section 1: Algorithmic Trading Fundamentals What is Algorithmic Trading? The Differences

europilot Overview Europilot is an open source project that leverages the popular Euro Truck Simulator(ETS2) to develop self-driving algorithms. A con

About visualapplets.py The Basler AG company provides a TCL scripting engine to automatize the creation of VisualApplets designs (a former Silicon Sof

EazeBot Introduction Have you ever traded cryptocurrencies and lost overview of your planned buys/sells? Have you encountered the experience that your

Algorithmia Common Library (python) Python client library for accessing the Algorithmia API For API documentation, see the PythonDocs Algorithm Develo

Machine Learning in Asset Management If you like this type of content then visit ML Quant site below: https://www.ml-quant.com/ Part One Follow this l

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented

High-Low Stock trading bot made using the Robinhood API / Python library... Index Installation Use Development Notes Installation To Install and run t

DTech.AIML An AI made using artificial intelligence (AI) and machine learning algorithms (ML) . This is created by help of some members in my team and

raylab Reinforcement learning algorithms in RLlib and PyTorch. Installation pip install raylab Quickstart Raylab provides agents and environments to b

Deep Transfer Learning on PyTorch This is a PyTorch library for deep transfer learning. We divide the code into two aspects: Single-source Unsupervise

Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies. We have amassed a dataset of millions of rows of high-frequency market data dating back to 2018 which you can use to build your model.

fidelipy fidelipy is a simple Python 3.7+ library for semi-automated trading on fidelity.com. The scope is limited to the Trade Stocks/ETFs simplified

Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.

benchmark_spaces Benchmarks of how well different two dimensional spaces work fo

GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in

Cryptocurrency Trading Bot - A trading bot to automate cryptocurrency trading strategies using Python, equipped with a basic GUI. Used REST and WebSocket API to connect to two of the most popular crypto exchanges in the world.

BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work. For this project, I used the sigmoid function as an activation function along with stochastic gradient descent to adjust the weights and biases.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business

Most popular metrics used to evaluate object detection algorithms.

PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit

GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C

💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B

Hands-On Machine Learning for Algorithmic Trading Hands-On Machine Learning for Algorithmic Trading, published by Packt This is the code repository fo

Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor

fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod

As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

Distributed Systems Algorithms ISIS algorithm In an asynchronous system that kee

technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil

Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions

Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering

This is a Algo/script trading for Deribit. You need an account with deribit, to

Python implementation of Aho-Corasick algorithm for string searching

Awesome Model-Based Reinforcement Learning This is a collection of research papers for model-based reinforcement learning (mbrl). And the repository w

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GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

This project was developed using python 3 and Flask, it is an MVC system where the AES 128 CBC and Trivium algorithms can be tested through a communication between the computer and a device such as a microcontroller that provides these algorithms.

Trading Strategies ~50% of codes from the Applied Financial Technology Course. Contributors: Claire W. Derrick T. Frank L. Utkarsh T. Course Leads: Dy

LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.

Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.

Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co

trading_ig A lightweight Python wrapper for the IG Markets API. Simplifies access to the IG REST and Streaming APIs with a live or demo account. What

PytomicDEX Makerbot A Terminal User Interface (TUI) for automated trading with Komodo Platform's AtomicDEX-API Install sudo apt install wget curl jq g

PyDynamica PyDynamica is a pure python implementation of Sociodynamica, a virtual environment to simulate a simple economy with minimal dependencies.

Can't Hide Money Bot A discord bot that manages your server's hedge fund Installing Install wkhtmltopdf sudo apt-get install wkhtmltopdf OR brew insta

GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

SciPy SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimiza

This is a DCA crypto trading bot built for Binance written in Python. It works by allowing you to DCA at an interval of your choosing and reports back on your average buy price as well as a chart consisting of each DCA.

NetKet NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and

No-Reference Image Quality Assessment Algorithms No-reference Image Quality Assessment(NIQA) is a task of evaluating an image without a reference imag

A Comparative Review of Recent Kinect-Based Action Recognition Algorithms This repo contains: the HDG implementation (Matlab codes) for 'Analysis and

Repository for Comparison based sorting algorithms in python. This was implemented for project one submission for ITCS 6114 Data Structures and Algorithms under the guidance of Dr. Dewan at the University of North Carolina at Charlotte, Fall 2021.

LTGen LTGen stands for Language Theory GENerator and provides tools to implement language theory. Command Line LTGen is a collection of tools to imple

pybnb A parallel branch-and-bound engine for Python. This software is copyright (c) by Gabriel A. Hackebeil (gabe.hacke

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

Codes-for-Algorithms Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

This is a repository for all hackerank challenges kindly note this is for learning purposes and if you wish to contribute, dont hesitate all submision

CacheControl CacheControl is a port of the caching algorithms in httplib2 for use with requests session object. It was written because httplib2's bett

Neural Style Transfer Web App - [FastAPI + streamlit + Docker] NST - application based on the Perceptual Losses for Real-Time Style Transfer and Super

Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs This repository contains code to accompany the paper "Hierarchical Clustering: O

Selenium job to automate queries to check last posts of Module Data Structures & Algorithms Web-testing for course Data Structures & Algorithms Struct

Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,

The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine

PyGAD: Genetic Algorithm in Python PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine lear

FinRL-Meta: A Universe of Market Environments. FinRL-Meta is a universe of market environments for data-driven financial reinforcement learning. Users

NeurIPS 2021 Paper "Learning with Algorithmic Supervision via Continuous Relaxations"

# 1. Installing Maven & Pandas First, please install Java (JDK11) and Python 3 if they are not already. Next, make sure that Maven (for importing J

Learning-Augmented Algorithms for Online Steiner Tree This is the code for the paper "Learning-Augmented Algorithms for Online Steiner Tree". Requirem

Distributed Algorithms Playground for reimplementing and experimenting with algorithms for distributed computing. Usage Running the code for Ring-AllR

WARNING: THIS CODE IS NOT READY FOR USE Sarsen Algorithms and utilities for SAR sensors Objectives Be faster and simpler than ESA SNAP and cloud nativ

🕹 Eight Puzzle CLI Jogo do quebra-cabeças de 8 peças em linha de comando desenvolvido para a disciplina de Inteligência Artificial. Escrito em python

Jesse Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies. Why Jesse? In short, Jesse is

CogniPy for Pandas - In-memory Graph Database and Knowledge Graph with Natural Language Interface Whats in the box Reasoning, exploration of RDF/OWL,

In this repository, I made an amazing app with tkinter python language and other libraries the idea of this app is to use algorithms to find the root of the equation I used three methods from numerical analysis method that find the root and I made property draw function that draws almost any equation

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.

ImageCompressionSimulation An Image compression simulator that uses Source Extractor and Monte Carlo methods to examine the post compressive effects o

VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. VMAgent is constructed based on one month r

Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

Status: Under development (expect bug fixes and huge updates) ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectiv

Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth

Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and

Algoritmos e Introdução à Computação Ementa: Conceitos básicos sobre algoritmos e métodos para sua construção. Tipos de dados e variáveis. Estruturas

PyTorch RL Minimal Implementations There are implementations of some reinforcement learning algorithms, whose characteristics are as follow: Less pack

Status: Under development (expect bug fixes and huge updates) ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectiv

GUI Pancakeswap 2 and Uniswap 3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) UPDATE: MUTI TRADE TOKEN ENABLE ,TRADE 1

Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.

🎄 Advent of Code 2021 🎄 Summary Advent of Code is an annual Advent calendar of programming puzzles. This year I am doing it in Go and Python. Runnin

Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve