3105 Open source projects that are alternatives of or similar to Machinelearningstocks

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

All the slides, accompanying code and exercises all stored in this repo. 🎈

✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

Open Source algorithmic trading platform in Java / Python

Crypto real-time trading engine

Stock for Deep Learning and Machine Learning

Cloud-native Financial Reinforcement Learning

📖 A little book on Ethereum Development with Go (golang)

Java 实盘量化框架

An Algorithmic Trading Library for Crypto-Assets in Python

Let Python optimize the best stop loss and take profits for your TradingView strategy.

Volatile: your day-to-day trading companion.

A Streamlit application to play with machine learning models directly from the browser

Uonfficial wrapper for financial data api from the Scandinavian broker Nordnet

Some notebooks with powerful trading strategies.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Compilation of R and Python programming codes on the Data Professor YouTube channel.

AutoGluon: AutoML for Text, Image, and Tabular Data

Probably the best curated list of data science software in Python.

Simplified tracking of your investments

A TypeScript Node.js library for the https://alpaca.markets REST API and WebSocket streams.

⚡ Open Source Algorithmic Trading Bot for Python.

SciKIt-learn Pipeline in PAndas

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Use AI to generate a optimized stock portfolio

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

🍊 📊 💡 Orange: Interactive data analysis

Go Tutorials - Let's get our hands really dirty by writing a lot of Golang code

Host for files for the OpenCore Vanilla Desktop Guide

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

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

MLOps for AWS SageMaker. www.sagifyml.com

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

A fast, robust Python library to check for offensive language in strings.

《Node.js 调试指南》

A nimble options backtesting library for Python

A unified framework for machine learning with time series

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

My book introducing you to Elm!

Daily Stock Forecasts using Machine Learning & Python

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Data Science Best Practices with pandas

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Windows 10 and (some) Linux Gaming Tweaks without myths

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Framework for setting up predictive analytics services

Backtesting for sleepless cryptocurrency markets

An opinionated list of resources for learning Haskell

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

matplotlib中文文档

An intro to Python & programming for wanna-be data scientists