Alternatives and similar repositories for Advanced-Deep-Trading

Users that are interested in Advanced-Deep-Trading are comparing it to the libraries listed below

• marketneutral / alphatools
  Quantitative finance research tools in Python
  ☆427Updated 2 years ago
• jjakimoto / finance_ml
  Advances in Financial Machine Learning
  ☆784Updated 2 years ago
• jmrichardson / tuneta
  Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
  ☆440Updated last year
• Rachnog / Deep-Portfolio-Management
  Source code for the blog post on the evolution of the asset allocation methods
  ☆214Updated 5 years ago
• wywongbd / pairstrade-fyp-2019
  We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
  ☆262Updated 2 years ago
• emoen / Machine-Learning-for-Asset-Managers
  Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…
  ☆554Updated 4 months ago
• VivekPa / OptimalPortfolio
  An open source library for portfolio optimisation
  ☆360Updated last year
• wi-0 / Pair-Trading-Reinforcement-Learning
  An Structural Application of Reinforcement Learning in Pair Trading
  ☆9Updated last year
• mementum / bta-lib
  Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
  ☆471Updated 3 years ago
• fernandodelacalle / adv-financial-ml-marcos-exercises
  Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
  ☆209Updated 4 years ago
• femtotrader / pandas_talib
  A Python Pandas implementation of technical analysis indicators
  ☆768Updated 7 years ago
• borisbanushev / anomaliesinoptions
  In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
  ☆260Updated 6 years ago
• doda / advances-in-financial-ml-notes
  ☆307Updated 2 years ago
• Marigold / universal-portfolios
  Collection of algorithms for online portfolio selection
  ☆818Updated 3 weeks ago
• jerryxyx / AlphaTrading
  An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implemen…
  ☆363Updated 6 years ago
• JerBouma / AlgorithmicTrading
  This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …
  ☆957Updated last year
• paulperry / quant
  Quantitative Finance and Algorithmic Trading
  ☆362Updated 9 years ago
• constverum / Quantdom
  Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
  ☆731Updated 2 years ago
• ematvey / pybacktest
  Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
  ☆815Updated 3 years ago
• chrism2671 / PyTrendFollow
  PyTrendFollow - systematic futures trading using trend following
  ☆413Updated 7 years ago
• fja05680 / pinkfish
  A backtester and spreadsheet library for stocks and ETFs
  ☆285Updated last month
• bfolkens / py-market-profile
  A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
  ☆373Updated last year
• Heerozh / spectre
  GPU-accelerated Factors analysis library and Backtester
  ☆695Updated 2 months ago
• marketneutral / pairs-trading-with-ML
  ☆212Updated 7 years ago
• abbass2 / pyqstrat
  A fast, extensible, transparent python library for backtesting quantitative strategies.
  ☆368Updated last year
• PyPatel / Machine-Learning-and-AI-in-Trading
  Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
  ☆409Updated 5 years ago
• KidQuant / Pairs-Trading-With-Python
  This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…
  ☆437Updated last year
• financialnoob / pairs_trading
  experiments with pair trading
  ☆300Updated 6 months ago
• bsolomon1124 / pyfinance
  Python package designed for general financial and security returns analysis.
  ☆332Updated 2 years ago
• BlackArbsCEO / Adv_Fin_ML_Exercises
  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
  ☆1,798Updated 2 years ago