298 Repositories
Python cryptocurrency-trading-strategies Libraries
MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.
Using python and scikit-learn to make stock predictions
GreenDoge is a modern community-centric green cryptocurrency based on a proof-of-space-and-time consensus algorithm.
GreenDoge Blockchain Download GreenDoge blockchain GreenDoge is a modern community-centric green cryptocurrency based on a proof-of-space-and-time con
Supplementary code for SIGGRAPH 2021 paper: Discovering Diverse Athletic Jumping Strategies
SIGGRAPH 2021: Discovering Diverse Athletic Jumping Strategies project page paper demo video Prerequisites Important Notes We suspect there are bugs i
This is a cryptocurrency trading bot that analyses Reddit sentiment and places trades on Binance based on reddit post and comment sentiment. If you like this project please consider donating via brave. Thanks.
This is a cryptocurrency trading bot that analyses Reddit sentiment and places trades on Binance based on reddit post and comment sentiment. The bot f
This is a simple backtesting framework to help you test your crypto currency trading. It includes a way to download and store historical crypto data and to execute a trading strategy.
You can use this simple crypto backtesting script to ensure your trading strategy is successful Minimal setup required and works well with static TP a
My freqtrade strategies
My freqtrade-strategies Hi there! This is repo for my freqtrade-strategies. My name is Ilya Zelenchuk, I'm a lecturer at the SPbU university (https://
Reference python implementation of Chia pool operations for pool operators
This repository provides a sample server written in python, which is meant to server as a basis for a Chia Pool. While this is a fully functional implementation, it requires some work in scalability and security to run in production.
Recommendation systems are among most widely preffered marketing strategies.
Recommendation systems are among most widely preffered marketing strategies. Their popularity comes from close prediction scores obtained from relationships of users and items. In this project, two recommendation systems are used for two different datasets: Association Recommendation Learning and Collaborative Filtering. Please read the description for more info.
How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
AdamBNN This is the pytorch implementation of our paper "How Do Adam and Training Strategies Help BNNs Optimization?", published in ICML 2021. In this
Hurry is a CLI tool to speed setting up MoniGoMani HyperStrategy & co. #freqtrade #hyperopting #trading #strategy
Hurry is a CLI tool to speed setting up MoniGoMani HyperStrategy & co. #freqtrade #hyperopting #trading #strategy
RSI Algorithmic Trading with Python
In this repository you can see my first algorithhmic trading script. I use 5 cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Bitcoin Cash (BCH), Litecoin (LTC) and Chainlink (LINK).
Bot to trade crypto trading ranges
crypto-trading-bot Crypto bot with DCA or GRID trading strategy Sends notifictions to telegram chat Crypto bot with webhook feature which can be used
A simple Discord Bot that uses the free CryptoCompare API to display cryptocurrency prices
What is this? This is a simple Discord Bot coded in Python that uses the free CryptoCompare API to display cryptocurrency prices Download Use git to c
Simple Python API for the Ergo Platform Explorer
Ergo is a "Resilient Platform for Contractual Money." It is designed to be a platform for applications with the main focus to provide an efficient, se
A super simple wallet application for the NANO cryptocurrency that runs in the terminal
Nano Terminal Wallet A super simple wallet application for the NANO cryptocurrency that runs in the terminal Written in 2021 by NinjaSnail1080 (Discor
alpaca-trade-api-python is a python library for the Alpaca Commission Free Trading API.
alpaca-trade-api-python is a python library for the Alpaca Commission Free Trading API. It allows rapid trading algo development easily, with support for both REST and streaming data interfaces
A Pancakeswap and Uniswap trading client (and bot) with limit orders, marker orders, stop-loss, custom gas strategies, a GUI and much more.
Pancakeswap and Uniswap trading client Adam A A Pancakeswap and Uniswap trading client (and bot) with market orders, limit orders, stop-loss, custom g
Learn Blockchains by Building One, A simple Blockchain in Python using Flask as a micro web framework.
Blockchain ✨ Learn Blockchains by Building One Yourself Installation Make sure Python 3.6+ is installed. Install Flask Web Framework. Clone this repos
MasTrade is a trading bot in baselines3,pytorch,gym
mastrade MasTrade is a trading bot in baselines3,pytorch,gym idea we have for example 1 btc and we buy a crypto with it with market option to trade in
existing and custom freqtrade strategies supporting the new hyperstrategy format.
freqtrade-strategies Description Existing and self-developed strategies, rewritten to support the new HyperStrategy format from the freqtrade-develop
🔬 A curated list of awesome machine learning strategies & tools in financial market.
🔬 A curated list of awesome machine learning strategies & tools in financial market.
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Trivial Augment This is the official implementation of TrivialAugment (https://arxiv.org/abs/2103.10158), as was used for the paper. TrivialAugment is
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Forecasting directional movements of stock-prices for intraday trading using LSTM and random-forest https://arxiv.org/abs/2004.10178 Pushpendu Ghosh,
Optimize Trading Strategies Using Freqtrade
Optimize trading strategy using Freqtrade Short demo on building, testing and optimizing a trading strategy using Freqtrade. The DevBootstrap YouTube
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
Binance Volitility Trading Bot This Binance trading bot analyses the changes in price across all coins on Binance and place trades on the most volatil
PyTorch Implementation for AAAI'21 "Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection"
UMS for Multi-turn Response Selection Implements the model described in the following paper Do Response Selection Models Really Know What's Next? Utte
A Pancakeswap v2 trading client (and bot) with limit orders, stop-loss, custom gas strategies, a GUI and much more.
Pancakeswap v2 trading client A Pancakeswap trading client (and bot) with limit orders, stop-loss, custom gas strategies, a GUI and much more. If you
Zipline, a Pythonic Algorithmic Trading Library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte
Simple CLI tool to track your cryptocurrency portfolio in real time.
Simple tool to track your crypto portfolio in realtime. It can be used to track any coin on the BNB network, even obscure coins that are not listed or trackable by major portfolio tracking applications.
Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more
DeFi open source tools Get Started Instalation General Tools Impermanent Loss, simple calculation Compare Buy & Hold with Staking and Farming Complete
CryptoFrog - My First Strategy for freqtrade
cryptofrog-strategies CryptoFrog - My First Strategy for freqtrade NB: (2021-04-20) You'll need the latest freqtrade develop branch otherwise you migh
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds.
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds.
LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading
LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading. The framework simplify development, testing, deployment, analysis and training algo trading strategies. The framework automatically analyzes trading sessions, and the analysis may be used to train predictive models.
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
Stock Market Buy/Sell/Hold prediction Using convolutional Neural Network This repo is an attempt to implement the research paper titled "Algorithmic F
A Telegram bot for remotely managing Binance Trade Bot
Binance Trade Bot Manager Telegram A Telegram bot for remotely managing Binance Trade Bot. If you have feature requests please open an issue on this r
Using deep actor-critic model to learn best strategies in pair trading
Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading Abstract Partially observed Markov
Deep Reinforcement Learning based Trading Agent for Bitcoin
Deep Trading Agent Deep Reinforcement Learning based Trading Agent for Bitcoin using DeepSense Network for Q function approximation. For complete deta
Reinforcement Learning for Automated Trading
Reinforcement Learning for Automated Trading This thesis has been realized for the obtention of the Master's in Mathematical Engineering at the Polite
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
bulbea "Deep Learning based Python Library for Stock Market Prediction and Modelling." Table of Contents Installation Usage Documentation Dependencies
Algorithmic Trading using RNN
Deep-Trading This an implementation adapted from Rachnog Neural networks for algorithmic trading. Part One — Simple time series forecasting and this c
Algorithmic trading with deep learning experiments
Deep-Trading Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more soph
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Reinforcement-trading This project uses Reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s
Reinforcement Learning for Portfolio Management
qtrader Reinforcement Learning for Portfolio Management Why Reinforcement Learning? Learns the optimal action, rather than models the market. Adaptive
High frequency AI based algorithmic trading module.
Flow Flow is a high frequency algorithmic trading module that uses machine learning to self regulate and self optimize for maximum return. The current
Algorithmic trading using machine learning.
Algorithmic Trading This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers sto
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Stock Price Prediction of Apple Inc. Using Recurrent Neural Network OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network Dataset:
Introducing neural networks to predict stock prices
IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Modeling High-Frequency Limit Order Book Dynamics Using Machine Learning Framework to capture the dynamics of high-frequency limit order books. Overvi
Use unsupervised and supervised learning to predict stocks
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
Using python and scikit-learn to make stock predictions
MachineLearningStocks in python: a starter project and guide EDIT as of Feb 2021: MachineLearningStocks is no longer actively maintained MachineLearni
[Link]mareteutral - pars tradg wth M []
pairs-trading-with-ML Jonathan Larkin, August 2017 One popular strategy classification is Pairs Trading. Though this category of strategies can exhibi
Trading environnement for RL agents, backtesting and training.
TradzQAI Trading environnement for RL agents, backtesting and training. Live session with coinbasepro-python is finaly arrived ! Available sessions: L
Scalable, event-driven, deep-learning-friendly backtesting library
...Minimizing the mean square error on future experience. - Richard S. Sutton BTGym Scalable event-driven RL-friendly backtesting library. Build on
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Trading Gym Trading Gym is an open-source project for the development of reinforcement learning algorithms in the context of trading. It is currently
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
TradingGym TradingGym is a toolkit for training and backtesting the reinforcement learning algorithms. This was inspired by OpenAI Gym and imitated th
This python module can analyse cryptocurrency news for any number of coins given and return a sentiment. Can be easily integrated with a Trading bot to keep an eye on the news.
Python script that analyses news headline or body sentiment and returns the overall media sentiment of any given coin. It can take multiple coins an
Trading Strategies for Freqtrade
Freqtrade Strategies Strategies for Freqtrade, developed primarily in a partnership between @werkkrew and @JimmyNixx from the Freqtrade Discord. Use t
Isn't that what we all want? Our money to go many? Well that's what this strategy hopes to do for you! By giving you/HyperOpt a lot of signals to alter the weight from.
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A bot for FaucetCrypto a cryptocurrency faucet. The bot can currently claim PTC ads, main reward and all the shortlinks except exe.io and fc.lc.
A bot for the high paying popular cryptocurrency faucet Faucet Crypto. The bot is built using Python and Selenium, currently it is under active develo
Freqtrade is a free and open source crypto trading bot written in Python
Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
Find big moving stocks before they move using machine learning and anomaly detection
Surpriver - Find High Moving Stocks before they Move Find high moving stocks before they move using anomaly detection and machine learning. Surpriver
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Backtesting.py Backtest trading strategies with Python. Project website Documentation the project if you use it. Installation $ pip install backtestin
Common financial technical indicators implemented in Pandas.
FinTA (Financial Technical Analysis) Common financial technical indicators implemented in Pandas. This is work in progress, bugs are expected and resu
Python Algorithmic Trading Library
PyAlgoTrade PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus was on backtesting, paper trading is now pos
Python Backtesting library for trading strategies
backtrader Yahoo API Note: [2018-11-16] After some testing it would seem that data downloads can be again relied upon over the web interface (or API v
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks
CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks https://github.com/CryptoSignal/Crypto-Signal Development state:
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.
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technol
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
finmarketpy (formerly pythalesians) finmarketpy is a Python based library that enables you to analyze market data and also to backtest trading strateg
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
TensorTrade: Trade Efficiently with Reinforcement Learning TensorTrade is still in Beta, meaning it should be used very cautiously if used in producti
An Algorithmic Trading Library for Crypto-Assets in Python
Service Master Develop CI Badge Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be eas
Python sync/async framework for Interactive Brokers API
Introduction The goal of the IB-insync library is to make working with the Trader Workstation API from Interactive Brokers as easy as possible. The ma
Performance analysis of predictive (alpha) stock factors
Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour
Technical Analysis Library using Pandas and Numpy
Technical Analysis Library in Python It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Cl
A python wrapper for Alpha Vantage API for financial data.
alpha_vantage Python module to get stock data/cryptocurrencies from the Alpha Vantage API Alpha Vantage delivers a free API for real time financial da
Zipline, a Pythonic Algorithmic Trading Library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte
This is a bitcoin bot that will automatically buy bitcoin if Elon Musk Tweets about it. It is a configurable crypto trading bot that listens to Technoking Musk to express his opinions on Bitcoin and buy as soon as he's tweeted.
DESCRIPTION This bot is designed to buy bitcoin every time Elon musk tweets about bitcoin with the following parameters: The bot will open a buy pos
Trading bot that uses Elon Musk`s tweets to know when to buy cryptocurrency.
Elonbot Trading bot that uses Elon Musk`s tweets to know when to buy cryptocurrency. Here is how it works: Subscribes to someone's (elonmusk?) tweets
This program is an automated trading bot that uses TDAmeritrades Thinkorswim trading platform's scanners and alerts system.
Python Trading Bot w/ Thinkorswim Description This program is an automated trading bot that uses TDAmeritrades Thinkorswim trading platform's scanners
Crypto trading bot that detects surges in the bitcoin price and executes trades.
The bot will be trading Bitcoin automatically if the price has increased by more than 3% in the last 10 minutes. We will have a stop loss of 5% and t
A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer from NNAISENSE.
PGPElib A mini library for Policy Gradients with Parameter-based Exploration [1] and friends. This library serves as a clean re-implementation of the
Performance analysis of predictive (alpha) stock factors
Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour
Upbit(업비트) Cryptocurrency Exchange OPEN API Client for Python
Base Repository Python Upbit Client Repository Upbit OPEN API Client @Author: uJhin @GitHub: https://github.com/uJhin/upbit-client/ @Officia
Python SDK for the Buycoins API.
This library provides easy access to the Buycoins API using the Python programming language. It provides all the feature of the API so that you don't need to interact with the API directly. This library can be used with Python 3.6+
Calculate your taxes from cryptocurrency gains
CoinTaxman helps you to bring your income from crypto trading, lending, ... into your tax declaration.
Code for How To Create A Fully Automated AI Based Trading System With Python
AI Based Trading System This code works as a boilerplate for an AI based trading system with yfinance as data source and RobinHood or Alpaca as broker
Docker Container wallstreetbets-sentiment-analysis
Docker Container wallstreetbets-sentiment-analysis A docker container using restful endpoints exposed on port 5000 "/analyze" to gather sentiment anal
This package allows interactions with the BuyCoins API.
The BuyCoins Python library allows interactions with the BuyCoins API from applications written in Python.
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.
StockBot is a Python application for designing and testing your own daily stock trading algorithms. Installation Use the
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Freqtrade is a free and open source crypto trading bot written in Python
Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
Utilizing the freqtrade high-frequency cryptocurrency trading framework to build and optimize trading strategies. The bot runs nonstop on a Rasberry Pi.
Freqtrade Strategy Repository Please test all scripts and dry run them before using them in live mode Contact me on discord if you have any questions!
The official Python client library for the Kite Connect trading APIs
The Kite Connect API Python client - v3 The official Python client for communicating with the Kite Connect API. Kite Connect is a set of REST-like API
An api, written in Python, for Investopedia's paper trading stock simulator.
investopedia-trading-api An API, written in Python, for Investopedia's paper trading stock simulator. Pull requests welcome. This library is now Pytho
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/
Stock Analysis Engine Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for ru
Python client for CoinPayments API
pyCoinPayments - Python API client for CoinPayments Updates This library has now been converted to work with python3 This is an unofficial client for
Zipline, a Pythonic Algorithmic Trading Library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte
A fast Evolution Strategy implementation in Python
Evostra: Evolution Strategy for Python Evolution Strategy (ES) is an optimization technique based on ideas of adaptation and evolution. You can learn