340 Repositories
Python trading-environment Libraries
Phoenix Framework is an environment for writing, testing and using exploit code.
Phoenix-Framework Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen
Python based Algo trading bot for Nifty / Banknifty futures and options
Fully automated Alice Blue Algo Trading with Python on NSE and MCX for Nifty / Crude / Banknifty futures and options , absolutely FREE ! This algo tra
Spark development environment for k8s
Local Spark Dev Env with Docker Development environment for k8s. Using the spark-operator image to ensure it will be the same environment. Start conta
A Trading strategy for the Freqtrade crypto bot.
Important Thing to notice 1) Do not use this strategy on live. It is still undergoing dry-run. 2) The Hyperopt is highly optimized towards "shitcoin"
PowerGym is a Gym-like environment for Volt-Var control in power distribution systems.
Overview PowerGym is a Gym-like environment for Volt-Var control in power distribution systems. The Volt-Var control targets minimizing voltage violat
Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.
pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir
A muti pairs martingle trading bot for Binance exchange.
multi_pairs_martingle_bot English Documentation A muti pairs martingle trading bot for Binance exchange. Configuration { "platform": "binance_futur
Reinforcement learning models in ViZDoom environment
DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p
Strict separation of config from code.
Python Decouple: Strict separation of settings from code Decouple helps you to organize your settings so that you can change parameters without having
Load Django Settings from Environmental Variables with One Magical Line of Code
DjEnv: Django + Environment Load Django Settings Directly from Environmental Variables features modify django configuration without modifying source c
Framework for creating and running trading strategies. Blatantly stolen copy of qtpylib to make it work for Indian markets.
_• Kinetick Trade Bot Kinetick is a framework for creating and running trading strategies without worrying about integration with broker and data str
Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! Very tiny! Stock Market Financial Technical Analysis Python library . Quant Trading automation or cryptocoin exchange
MyTT Technical Indicators implemented in Python only using Numpy-Pandas as Magic - Very Very Fast! to Stock Market Financial Technical Analysis Python
An unofficial python API for trading on the DeGiro platform, with the ability to get real time data and historical data.
DegiroAPI An unofficial API for the trading platform Degiro written in Python with the ability to get real time data and historical data for products.
Lux AI environment interface for RLlib multi-agents
Lux AI interface to RLlib MultiAgentsEnv For Lux AI Season 1 Kaggle competition. LuxAI repo RLlib-multiagents docs Kaggle environments repo Please let
BT CCXT Store
bt-ccxt-store-cn backtrader是一个非常好的开源量化回测平台,我自己也时常用它,backtrader也能接入实盘,而bt-ccxt-store就是帮助backtrader接入数字货币实盘交易的一个插件,但是bt-ccxt-store的某些实现并不是很好,无节制的网络轮询,一些
Python wrapper for Coinex APIs
coinexpy - Python wrapper for Coinex APIs Through coinexpy you can simply buy or sell crypto in your Coinex account Features place limit order place m
A Deep Reinforcement Learning Framework for Stock Market Trading
DQN-Trading This is a framework based on deep reinforcement learning for stock market trading. This project is the implementation code for the two pap
In this Github repository I will share my freqtrade files with you. I want to help people with this repository who don't know Freqtrade so much yet.
My Freqtrade stuff In this Github repository I will share my freqtrade files with you. I want to help people with this repository who don't know Freqt
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
gym-mtsim: OpenAI Gym - MetaTrader 5 Simulator MtSim is a simulator for the MetaTrader 5 trading platform alongside an OpenAI Gym environment for rein
scrilla: A Financial Optimization Application
A python application that wraps around AlphaVantage, Quandl and IEX APIs, calculates financial statistics and optimizes portfolio allocations.
IG Trading Algos and Scripts in Python
IG_Trading_Algo_Scripts_Python IG Trading Algos and Scripts in Python This project is a collection of my work over 2 years building IG Trading Algorit
pydock - Docker-based environment manager for Python
pydock - Docker-based environment manager for Python ⚠️ pydock is still in beta mode, and very unstable. It is not recommended for anything serious. p
Leveraged grid-trading bot using CCXT/CCXT Pro library in FTX exchange.
Leveraged-grid-trading-bot The code is designed to perform infinity grid trading strategy in FTX exchange. The basic trader named Gridtrader.py contro
This Binance trading bot detects new coins as soon as they are listed on the Binance exchange and automatically places sell and buy orders. It comes with trailing stop loss and other features. If you like this project please consider donating via Brave.
binance-trading-bot-new-coins This Binance trading bot detects new coins as soon as they are listed on the Binance exchange and automatically places s
EMBArk - The firmware security scanning environment
Embark is being developed to provide the firmware security analyzer emba as a containerized service and to ease accessibility to emba regardless of system and operating system.
Phoenix Framework is an environment for writing, testing and using exploit code.
Phoenix Framework is an environment for writing, testing and using exploit code. 🖼 Screenshots 🎪 Community PwnWiki Forums 🔑 Licen
trading strategy for freqtrade crypto bot it base on CDC-ActionZone
ft-action-zone trading strategy for freqtrade crypto bot it base on CDC-ActionZone Indicator by piriya33 Clone The Repository if you just clone this r
Brandnew-flask is a CLI tool used to generate a powerful and mordern flask-app that supports the production environment.
Brandnew-flask is still in the initial stage and needs to be updated and improved continuously. Everyone is welcome to maintain and improve this CLI.
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
Trading strategy for the Freqtrade crypto bot
NostalgiaForInfinity Trading strategy for the Freqtrade crypto bot Change strategy Add strategies to the user_data/strategies folder and also in the d
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
A simple Django dev environment setup with docker for demo purposes for GalsenDev community
GalsenDEV Docker Demo This is a basic Django dev environment setup with docker and docker-compose for a GalsenDev Meetup. The main purposes was to mak
Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
Visual Python is a GUI-based Python code generator, developed on the Jupyter Notebook environment as an extension.
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
BridgeWalk is a partially-observed reinforcement learning environment with dynamics of varying stochasticity.
BridgeWalk is a partially-observed reinforcement learning environment with dynamics of varying stochasticity. The player needs to walk along a bridge to reach a goal location. When the player walks off the bridge into the water, the current will move it randomly until it gets washed back on the shore. A good agent in this environment avoids this stochastic trap
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
This websocket program is for data transmission between server and client. Data transmission is for Federated Learning in Edge computing environment.
websocket-for-data-transmission This websocket program is for data transmission between server and client. Data transmission is for Federated Learning
CowHerd is a partially-observed reinforcement learning environment
CowHerd is a partially-observed reinforcement learning environment, where the player walks around an area and is rewarded for milking cows. The cows try to escape and the player can place fences to help capture them. The implementation of CowHerd is based on the Crafter environment.
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 step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
This project has a step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
render sprites into your desktop environment as shaped windows using GTK
spritegtk render static or animated sprites into your desktop environment as dynamic shaped windows using GTK requires pycairo and PYGobject: pip inst
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
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
My solution for a MARL problem on a Grid Environment with Q-tables.
To run the project, run: conda create --name env python=3.7 pip install -r requirements.txt python run.py To-do: Add direction to the state space Take
This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization
Spherical Gaussian Optimization This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has b
AndroidEnv is a Python library that exposes an Android device as a Reinforcement Learning (RL) environment.
AndroidEnv is a Python library that exposes an Android device as a Reinforcement Learning (RL) environment.
This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS
DevOps-The-Hard-Way-AWS This tutorial contains a full, real-world solution for setting up an environment that is using DevOps technologies and practic
leafmap - A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment
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
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
Transparently load variables from environment or JSON/YAML file.
A thin wrapper over Pydantic's settings management. Allows you to define configuration variables and load them from environment or JSON/YAML file. Also generates initial configuration files and documentation for your defined configuration.
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
Django-environ django-environ allows you to use Twelve-factor methodology to configure your Django application with environment variables. import envi
ManipulaTHOR, a framework that facilitates visual manipulation of objects using a robotic arm
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha
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
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras Overview This project provides a general environment for stoc
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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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.
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
A lightweight, GPU accelerated, SQL engine built on the RAPIDS.ai ecosystem. Get Started on app.blazingsql.com Getting Started | Documentation | Examp
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