Python Stock-trading Resources

AutoTrader AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. From sim

93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md

Creating easier access to the Moroccan stock market data What is StocksMA ? StocksMA is a package to facilitate access to financial and economic data

Over-and-Undervalued-Stocks Of Nepse Using Graham's Number Scrap the latest data using different websites and creates a formatted excel file that high

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Requirements The code has been tested running under Python 3.7.4, with the foll

ALgorithmic_Trading_with_ML An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and

Crypto Trading Simulator Run streamlit run main.py Dependency Python 3 streamli

Your One And Only Trading Bot No seriously, we mean it! Contributors Jihad Al-Hussain John Gaffney Shanel Kuchera Kazuki Takehashi Patrick Thornquist

Stock game is a python program that simulates real-life stock marketing, saving, and investments. Users get to trade and manage their portfolio and manage their 100,000 dollar portfolio.

Trading_bot Trading bot intended for 1) Tracking current prices of tokens 2) Set

Graphene Metanode is a locally hosted node for one account and several trading pairs, which uses minimal RAM resources. It provides the necessary user stream data and order book data for trading in a format one would expect from a centralized exchange API.

Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito

alphasea-example-model alphasea-example-modelは、 alphasea-agent に対して毎ラウンド、予測を投稿するプログラムです。 Numeraiのexample modelに相当します。 準備 alphasea-example-modelの動作には、

Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr

Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =

Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv

TradeAlert Not sure what this will ultimately become, but for now, its a Python script that alerts via SMS when a stock is reaching an inflection poin

Equibles Stocks API for Python Requirements. Python 2.7 and 3.4+ Installation & Usage pip install If the python package is hosted on Github, you can i

Shopee Scraper A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil. The project was crea

qsec Quant & Systematic Crypto Research Tools --WORK IN PROGRESS-- This repo is a collection of research tools to help in exploring and building sys

TqSdk 天勤量化交易策略程序开发包 TqSdk 是一个由信易科技发起并贡献主要代码的开源 python 库. 依托快期多年积累成熟的交易及行情服务器体系, TqSdk 支持用户使用极少的代码量构建各种类型的量化交易策略程序, 并提供包含期货、期权、股票的 历史数据-实时数据-开发调试-策略回测-

Stock-Generator Please visit "Stock Generator.ipynb" for a clearer view and "Stock Generator.py" for scripts. The stock generator is designed to allow

PTV is a useful widget for trading view for doing paper trading when bar reply is enabled.(this feature did not implement in trading view)

Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th

PyPortfolioOpt has recently been published in the Journal of Open Source Software 🎉 PyPortfolioOpt is a library that implements portfolio optimizatio

Sends notifications when Pokemon Center products are in stock! If you use this for scalping, I will break your kneecaps

RSI Crypto Trading Bot - Binance A Crypto Trading Bot on Binance trading BTCUSDT and ETHUSDT using RSI in 25 Lines of Code Getting Started Note Python

Options-Max-Pain-Calculator A python command line tool to calculate options max pain for a given company symbol and options expiry date. Overview - Ma

Trade Engine a library for demo trading | backtest and forward test simulation Features Limit/Market orders: you can place a Limit or Market order in

LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav

Algorithmic Trading in Python This repository Course Outline Section 1: Algorithmic Trading Fundamentals What is Algorithmic Trading? The Differences

EazeBot Introduction Have you ever traded cryptocurrencies and lost overview of your planned buys/sells? Have you encountered the experience that your

neural_network_for_stock_price_prediction Neural networks for stock price predic

Machine Learning in Asset Management If you like this type of content then visit ML Quant site below: https://www.ml-quant.com/ Part One Follow this l

High-Low Stock trading bot made using the Robinhood API / Python library... Index Installation Use Development Notes Installation To Install and run t

StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha

Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies. We have amassed a dataset of millions of rows of high-frequency market data dating back to 2018 which you can use to build your model.

A data pipeline consisting of an AWS lambda function reading data from yfinance API, an AWS Kinesis stream to receive & store data in S3 buckets and AWS Glue crawler & Athena to run SQL queries.

fidelipy fidelipy is a simple Python 3.7+ library for semi-automated trading on fidelity.com. The scope is limited to the Trade Stocks/ETFs simplified

Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy based on this analysis leads to increased trading profits up to three times compared with a simple buy and hold strategy.

GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in

Cryptocurrency Trading Bot - A trading bot to automate cryptocurrency trading strategies using Python, equipped with a basic GUI. Used REST and WebSocket API to connect to two of the most popular crypto exchanges in the world.

💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B

Hands-On Machine Learning for Algorithmic Trading Hands-On Machine Learning for Algorithmic Trading, published by Packt This is the code repository fo

fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod

How-to-Predict-Stock-Prices-Easily-Demo How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube ##Overview This is th

Stock History Display Available on Heroku: https://stock-history-display.herokua

technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil

Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for

This is a Algo/script trading for Deribit. You need an account with deribit, to

Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.

Python Portfolio Analytics A portfolio tracker featuring account transactions, historical allocation, dividends and splits management and endless perf

GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

Trading Strategies ~50% of codes from the Applied Financial Technology Course. Contributors: Claire W. Derrick T. Frank L. Utkarsh T. Course Leads: Dy

trading_ig A lightweight Python wrapper for the IG Markets API. Simplifies access to the IG REST and Streaming APIs with a live or demo account. What

PytomicDEX Makerbot A Terminal User Interface (TUI) for automated trading with Komodo Platform's AtomicDEX-API Install sudo apt install wget curl jq g

PyDynamica PyDynamica is a pure python implementation of Sociodynamica, a virtual environment to simulate a simple economy with minimal dependencies.

Can't Hide Money Bot A discord bot that manages your server's hedge fund Installing Install wkhtmltopdf sudo apt-get install wkhtmltopdf OR brew insta

GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

This is a DCA crypto trading bot built for Binance written in Python. It works by allowing you to DCA at an interval of your choosing and reports back on your average buy price as well as a chart consisting of each DCA.

AKShare is an elegant and simple financial data interface library for Python, built for human beings

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

Stock market bot that will be used to learn about API calls and database connections.

pytradegate A very tiny python api for the stock exchange tradegate.de The api provides the recent ask/bid data and all other data as found on the det

Stock-Market-AI-Analysis I dont mind anyone using this code but please give me credit A program that uses an API and a AI model to get info of stocks

Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,

FinRL-Meta: A Universe of Market Environments. FinRL-Meta is a universe of market environments for data-driven financial reinforcement learning. Users

Jesse Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies. Why Jesse? In short, Jesse is

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.

GUI Pancakeswap 2 and Uniswap 3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) UPDATE: MUTI TRADE TOKEN ENABLE ,TRADE 1

Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.

Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve

Senator Stock Trading Tester Program to compare stock performance of Senator's transactions vs when the sale is disclosed. Using to find if tracking S

Pandas TA - A Technical Analysis Library in Python 3 Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package

Cryptick is a stock ticker for cryptocurrency tokens, and a physical NFT. This repository includes tools and documentation for the Cryptick device.

Python Stock Predictor A simple python stock Predictor Demo Run Locally Clone the project git clone https://github.com/yashraj-n/stock-price-predict

Convenient script for trading with python.

GUI Pancakeswap2 and Uniswap3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LUNCH AFTER ADD LIQUIDI

Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)

Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o

relative-strength IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score). I also made a TradingView indicator, but it cannot give

tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra

Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m

an easy and intuitive way to get a quick feel of what’s happening on the world’s market ! Eulera dashboard is a tool allows you to monitor historical

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.

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Booter bot Purpose The purpose of this bot is to check the price fluctuations in a given market in binance and create the idealistic signals based on

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass

Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.

Awesome Streamlit The fastest way to build Awesome Tools and Apps! Powered by Python! The purpose of this project is to share knowledge on how Awesome

Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa

This script should connect to the Upper Deck ePack API using your browser cookies and download a list of your current collection and save it as a CSV.

A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is categorized as a statistical arbitrage and convergence trading strategy.

By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated

Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us

AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n

IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o