200 Repositories
Python stock-price-predictor Libraries
This repository contains all the data analytics projects that I've worked on in python.
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
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md
StocksMA is a package to facilitate access to financial and economic data of Moroccan stocks.
Creating easier access to the Moroccan stock market data What is StocksMA ? StocksMA is a package to facilitate access to financial and economic data
This program creates a formatted excel file which highlights the undervalued stock according to Graham's number.
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
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
Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022
This is our implementation for the paper: Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation Xiaokun Zhang, Bo
CryptoBar - A simple MenuBar app that shows the price of 3 cryptocurrencies
CryptoBar A very simple MenuBar app that shows the price of the following crypto
Historical Crypto Price
Made with Coingecko API, this is a VERY simple python script that asks you the crypto, date and currency you want and then proceeds to give you the price and MarketCap at that precise moment
Dashboard to view a stock's basic information, RSI, Bollinger bands, EMA, SMA, sentiment analysis via Python
Your One And Only Trading Bot No seriously, we mean it! Contributors Jihad Al-Hussain John Gaffney Shanel Kuchera Kazuki Takehashi Patrick Thornquist
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.
This is a Python script to detect rapid upwards price changes (pumps) in a cryptocurrency pairing
A python script to detect a rapid upwards price brekout (pump) in a cryptocurrency pairing, through pandas and Binance API.
Stock game is a python program that simulates real-life stock marketing, saving, and investments
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.
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid symptoms or not by simply inputting certain values like oxygen level , breath rate , age, Vaccination done or not etc. with the help of kaggle database.
Senator Trades Monitor
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
Discord webhooks for alerting crypto currency price changes & historical data.
Crypto-Discord Discord Webhooks for alerting crypto currency price changes & historical data. Create virtual environment and install requirements. $ s
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
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
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =
A classification model capable of accurately predicting the price of secondhand cars
The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!
Title: Graduate-Admissions-Predictor
The purpose of this project is create a predictive model capable of identifying the probability of a person securing an admit based on their personal profile parameters. Simplified visualisations have been created for understanding the data. 80% accuracy was achieved on the test set.
Housing Price Prediction
This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to their features. For this we used a kaggle data set.
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb
A Python script that alerts via SMS when a stock is reaching an inflection point
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
This is a Flask web app which predicts fare of Flight ticket
Flight Fare Prediction: Table of Content Demo Overview Motivation Installation Deployement on Heroku Directory Tree Bug / Feature Request Future scope
Equibles Stocks API for Python
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
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
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
A stock generator that assess a list of stocks and returns the best stocks for investing and money allocations based on users choices of volatility, duration and number of stocks
Stock-Generator Please visit "Stock Generator.ipynb" for a clearer view and "Stock Generator.py" for scripts. The stock generator is designed to allow
A web scraper which checks price of a product regularly and sends price alerts by email if price reduces.
Amazon-Web-Scarper Created a web scraper using simple functions to check price of a product on amazon (can be duplicated to check price at other marke
💰 An Alfred Workflow that provides current price of cryptocurrency
Coin Ticker for Alfred Workflow An Alfred Workflow that provides current price and status about cryptocurrency from cryptocompare.com. Supports Alfred
General Assembly Capstone: NBA Game Predictor
Project 6: Predicting NBA Games Problem Statement Can I predict the results of NBA games from the back-half of a season from the opening half of the s
Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.
Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
This is a calculator of strike price distance for options.
Calculator-of-strike-price-distance-for-options This is a calculator of strike price distance for options. Options are a type of derivative. One strat
Sends notifications when Pokemon Center products are in stock
Sends notifications when Pokemon Center products are in stock! If you use this for scalping, I will break your kneecaps
PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable update interval.
PyToPrice (Python Crypto Price) PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable
Housing Price Prediction Using Machine Learning.
HOUSING PRICE PREDICTION USING MACHINE LEARNING DESCRIPTION Housing Price Prediction Using Machine Learning is to predict the data of housings. Here I
Research into Forex price prediction from price history using Deep Sequence Modeling with Stacked LSTMs.
Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
Predicting Price of house by considering ,house age, Distance from public transport
House-Price-Prediction Predicting Price of house by considering ,house age, Distance from public transport, No of convenient stores around house etc..
Bitcoin-chance-wheel - Try your luck at getting bitcoins
Program Features - ✍️ Why did we name this tool the Lucky Wheel? - ✍️ This tool
Neural network for stock price prediction
neural_network_for_stock_price_prediction Neural networks for stock price predic
Iris prediction model is used to classify iris species created julia's DecisionTree, DataFrames, JLD2, PlotlyJS and Statistics packages.
Iris Species Predictor Iris prediction is used to classify iris species using their sepal length, sepal width, petal length and petal width created us
Stock trading bot made using the Robinhood API / Python library...
High-Low Stock trading bot made using the Robinhood API / Python library... Index Installation Use Development Notes Installation To Install and run t
A stock analysis app with streamlit
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
Py-price-monitoring - A Python price monitor
A Python price monitor This project was focused on Brazil, so the monitoring is
Streaming Finance Data with AWS Lambda
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.
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
Both social media sentiment and stock market data are crucial for stock price prediction
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.
Tinybar - A simple MacOS menu bar utility to track price dynamics for assets on TinyMan.org
📃 About A simple MacOS menu bar app to display current coins from most popular
TinyBar - Tiny MacOS menu bar utility to track price dynamics for assets on TinyMan.org
📃 About A simple MacOS menu bar app to display current coins from most popular Liquidity Pools on TinyMan.org
How to Predict Stock Prices Easily Demo
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 - something like a easy yearly review for your stock performance
Stock History Display Available on Heroku: https://stock-history-display.herokua
Price-Prediction-For-a-Dream-Home - A machine learning based linear regression trained model for house price prediction.
Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p
Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for
A tool can scrape product in aliexpress: Title, Price, and URL Product.
Scrape-Product-Aliexpress A tool can scrape product in aliexpress: Title, Price, and URL Product. Usage: 1. Install Python 3.8 3.9 padahal halaman ins
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
A proper portfolio tracker. Featuring historical allocation, cash flows and real returns.
Python Portfolio Analytics A portfolio tracker featuring account transactions, historical allocation, dividends and splits management and endless perf
An Amazon Price Tracker app helps you to buy which product you want within sale price by sending an E-Mail.
Amazon Price Tracker An Amazon Price Tracker app helps you to buy which product you want within sale price by sending an E-Mail. Installing Download t
AKShare is an elegant and simple financial data interface library for Python, built for human beings
AKShare is an elegant and simple financial data interface library for Python, built for human beings
Avocado hass time series vs predict price
AVOCADO HASS TIME SERIES VÀ PREDICT PRICE Trước khi vào Heroku muốn giao diện đẹp mọi người chuyển giúp mình theo hình bên dưới https://avocado-hass.h
Python script for printing to the Hanshow price-tag
This repository contains Python code for talking to the ATC_TLSR_Paper open-source firmware for the Hanshow e-paper pricetag. Installation # Clone the
Stock market bot that will be used to learn about API calls and database connections.
Stock market bot that will be used to learn about API calls and database connections.
Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.
Pricefy Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, n
A very tiny python api for the stock exchange tradegate.de
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
A program that uses an API and a AI model to get info of sotcks
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
Parser for air tickets' price
Air-ticket-price-parser Parser for air tickets' price How to Install Firefox If geckodriver.exe is not compatible with your Firefox version, download
Ml based project which uses regression technique to predict the price.
Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with
Extract price amount and currency symbol from a raw text string
price-parser is a small library for extracting price and currency from raw text strings.
𝗖𝝠𝝦𝝩𝝠𝝞𝝥 𝝦𝗥𝝞𝗖𝝽°™️ 🇱🇰 Is An All In One Media Inline Bot Made For Inline Your Media Effectively With Some Advance Security Tools♥️
𝗖𝝠𝝦𝝩𝝠𝝞𝝥 𝝦𝗥𝝞𝗖𝝽° ™️ 🇱🇰 𝗙𝗘𝝠𝝩𝗨𝗥𝗘𝗦 Auto Filter IMDB Admin Commands Broadcast Index IMDB Search Inline Search Random Pics Ids & User I
Extract data from a wide range of Internet sources into a pandas DataFrame.
pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d
Python Dash app that tracks whale activity in cryptocurrency markets.
Introduction Welcome! This is a Python-based Dash app meant to track whale activity in buy / sell walls on crypto-currency exchanges (presently just o
Senator Stock Trading Tester
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
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
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.
Cryptick is a stock ticker for cryptocurrency tokens, and a physical NFT. This repository includes tools and documentation for the Cryptick device.
A simple python stock Predictor
Python Stock Predictor A simple python stock Predictor Demo Run Locally Clone the project git clone https://github.com/yashraj-n/stock-price-predict
Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational model)
Sum-Square_Error-Business-Analytical-Tool- Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational m
Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o
IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).
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 socket api for fetching real time prices.
tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra
Django based webapp pulling in crypto news and price data via api
Deploy Django in Production FTA project implementing containerization of Django Web Framework into Docker to be placed into Azure Container Services a
Eulera Dashboard is an easy and intuitive way to get a quick feel of what’s happening on the world’s market.
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
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.
Price checker windows application
Price-Checker price checker windows application This application monitors the prices of selected products and displays a notification if the price has
Project under the certification "Data Analysis with Python" on FreeCodeCamp
Sea Level Predictor Assignment You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea
Discord bots that update their status to the price of any coin listed on x.vite.net
Discord bots that update their status to the price of any coin listed on x.vite.net
A linear regression model for house price prediction
Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install
Calculate multilateral price indices in Python (with Pandas and PySpark).
IndexNumCalc Calculate multilateral price indices using the GEKS-T (CCDI), Time Product Dummy (TPD), Time Dummy Hedonic (TDH), Geary-Khamis (GK) metho
A crypto bot that checks the price movement in the markets and creates buy and sell signals
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
A price calculator for multiple things
Price Calculator A price calculator for multiple things Example I have 0.0567kg diamond. The price of diamond in kg is: $4500. Then it says: The price
A Protein-RNA Interface Predictor Based on Semantics of Sequences
PRIP PRIP:A Protein-RNA Interface Predictor Based on Semantics of Sequences installation gensim==3.8.3 matplotlib==3.1.3 xgboost==1.3.3 prettytable==2
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data.
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.
Python beta calculator that retrieves stock and market data and provides linear regressions.
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
A machine learning project that predicts the price of used cars in the UK
Car Price Prediction Image Credit: AA Cars Project Overview Scraped 3000 used cars data from AA Cars website using Python and BeautifulSoup. Cleaned t
Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors
By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated
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
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
Building house price data pipelines with Apache Beam and Spark on GCP
This project contains the process from building a web crawler to extract the raw data of house price to create ETL pipelines using Google Could Platform services.
Fully functioning price detector built with selenium and python
Fully functioning price detector built with selenium and python
Apple Store Stock Notifier monitors the availability of selected Apple devices in selected Apple stores, and sends you a notification when devices are available!
Apple Store Stock Notifier This software will immediately send you a notification via Telegram when one of your coveted Apple Devices is available in