Alternatives and similar repositories for machinelearning:

Users that are interested in machinelearning are comparing it to the libraries listed below

• ChillarAnand / stocktrends
  A python package to calculate trends in stocks, derivates(Futures & Options) using Renko, PnF, LineBreak etc
  ☆250Updated 10 months ago
• BatuhanUsluel / Algorithmic-Support-and-Resistance
  Automatically identifies support and resistance lines on a stock chart using reversal points, displays candlestick chart.
  ☆290Updated last year
• yongghongg / stock-screener
  A collection of notebooks I used in my Medium articles.
  ☆136Updated 2 years ago
• stockalgo / stolgo
  Price Action Trading APIs, Algorithmic approach, Dealing with securities. Get APIs to detect candlestick patterns, identify trends, suppo…
  ☆299Updated 3 years ago
• yhilpisch / tpqoa
  tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.
  ☆179Updated last year
• GregoryMorse / trendln
  Support and Resistance Trend lines Calculator for Financial Analysis
  ☆665Updated 3 years ago
• neurotrader888 / TechnicalAnalysisAutomation
  ☆362Updated last year
• stefmolin / stock-analysis
  Simple to use interfaces for basic technical analysis of stocks.
  ☆345Updated last year
• sofienkaabar / the-book-of-trading-strategies
  Source Codes for the Book of Trading Strategies
  ☆169Updated 2 years ago
• mementum / bta-lib
  Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
  ☆462Updated 3 years ago
• alvarobartt / trendet
  Python package for trend detection on stock time series data
  ☆468Updated last year
• day0market / support_resistance
  Small package that helps to find support and resistance levels and plot them on chart
  ☆422Updated last year
• arkochhar / Technical-Indicators
  Technical Indicators used in Stock Market Analysis
  ☆460Updated 3 years ago
• PacktPublishing / Python-Algorithmic-Trading-Cookbook
  Python Algorithmic Trading Cookbook, published by Packt
  ☆428Updated 2 years ago
• SpiralDevelopment / candlestick-patterns
  Candlestick patterns detector
  ☆452Updated 4 years ago
• PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Bots-with-Python
  ☆390Updated 2 years ago
• hackingthemarkets / candlestick-screener
  web-based technical screener for candlestick patterns using Python and Flask
  ☆547Updated last year
• QuantInsti / blueshift-demo-strategies
  Repository of demo strategies for the Blueshift platform
  ☆167Updated last year
• LastAncientOne / SimpleStockAnalysisPython
  Teaches step-by-step to analysis stock data in python.
  ☆369Updated 11 months ago
• scumabo / AI-for-Trading
  Udacity nanodegree: AI for Trading
  ☆236Updated last year
• jrmeier / fast-trade
  low code backtesting library utilizing pandas and technical analysis indicators
  ☆414Updated 3 weeks 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…
  ☆352Updated 10 months ago
• techietrader / Trading-indicators-and-Chart-patterns
  ATR, SuperTrend, Heiken Ashi, Renko
  ☆165Updated 6 years ago
• bfolkens / py-market-profile
  A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
  ☆366Updated last year
• CharlesLoo / stock-pattern-recorginition
  ☆238Updated 2 years ago
• jmrichardson / tuneta
  Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
  ☆431Updated last year
• akurgat / automating-technical-analysis
  Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…
  ☆304Updated last week
• voice32 / stock_market_indicators
  A small Python library with most common stock market indicators
  ☆226Updated 5 years ago
• JerBouma / FundamentalsQuantifier
  A tool that allows you to visually compare the fundamentals of over 6,000 companies.
  ☆331Updated 2 years ago
• wywongbd / pairstrade-fyp-2019
  We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
  ☆258Updated 2 years ago