131 Open source projects that are alternatives of or similar to Trading With Momentum

super-monorepo for machine learning and algorithmic trading

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

#nontina, #paperhands,, #pwnzebotz, #tradezbyguille

Python library for algorithmic trading cryptocurrencies across multiple exchanges

A nimble options backtesting library for Python

algorithmic trading using machine learning

Quantitative Financial Modelling Framework

An Algorithmic Trading Library for Crypto-Assets in Python

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

📈🤑💰 Advanced trading tools and resources for Robinhood Web.

Cloud-native Financial Reinforcement Learning

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

pyEX + Zipline

Python library for algorithmic trading cryptocurrencies across multiple exchanges

No description or website provided.

Portfolio analytics for quants, written in Python

Algo trade project in python

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

finance

Introducing neural networks to predict stock prices

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

⚡ Open Source Algorithmic Trading Bot for Python.

Algorithmic trading using machine learning.

Simple algorithmic stock and option trading for Node.js.

A financial trading method using machine learning.

Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries

Backtest and live trading in Python

Python interface to TD Ameritrade (https://developer.tdameritrade.com)

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Performance tear sheets and backtest analysis for Moonshot

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

Low-latency algorithmic trading platform written in Rust

A very simple api request client accessing TD Ameritrade API built in rust.

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

Volatile: your day-to-day trading companion.

Reinforcement Learning for Portfolio Management

Some notebooks with powerful trading strategies.

Common financial technical indicators implemented in Pandas.

High frequency AI based algorithmic trading module.

Python interface to IEX and IEX cloud APIs

convenient script for trading with python.

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.

A master database of securities data for use with the Odin algorithmic trading platform.

An open source OEMS, and intraday algorithmic trading platform in modern C++ for institutional investors

Extensible Algo-Trading Python Package.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

How to use the Roq C++20 API for Live Cryptocurrency Algorithmic and High-Frequency Trading as well as for Back-Testing and Historical Simulation

Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth

event-driven backtesting framework written in golang

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

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks

Ultimate Python library for time series analysis and backtesting at scale

Using python and scikit-learn to make stock predictions

Notebooks based on financial machine learning.

Python live trade execution library with zipline interface.

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.