SeifallahSnoussi

EX280-study

Study noted

trading-ig

A lightweight Python wrapper for the IG Markets API

streamlit-lightweight-charts-ntf

pytvlwcharts

An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).

streamlit-lightweight-charts

Streamlit wrapper for lightweight-charts

mango

Parallel Hyperparameter Tuning in Python

AutoTrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

blankly

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Trading212API

Unofficial Trading212 API

oanda-api-v20

OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!

DeepLearning

Projects related to deep learning area

LSTM-FX

An End-to-end LSTM deep learning model to predict FX rate and then use it in an algorithmic trading bot

tensorflow-1-public

TradingviewChartCSVFile

Plot Tradingview chart using csv file data

vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Microservices-Based-Algorithmic-Trading-System-V-2.0

MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms. This repository is an advanced version of the MBATS infrastructure without any of the business logic. Compared to MBATs, here are the changes that are made in this version.

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

IntroductionToTensorflow2

Code related to the course "Introduction to Tensorflow for computer vision"

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

vscode-docker-demo

Demo code for the DockerCon VS Code demo

Machine-Learning-for-Algorithmic-Trading-Second-Edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

certified-kubernetes-administrator-course

Certified Kubernetes Administrator - CKA Course

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.

Lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

pdns

PowerDNS Authoritative, PowerDNS Recursor, dnsdist

PowerDNS-Admin

A PowerDNS web interface with advanced features

freqtrade-plot-docker

Create docker image of freqtrade with plot libs

qstrader

QuantStart.com - QSTrader backtesting simulation engine.