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star

ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

stardox

Github stargazers information gathering tool

stdashapp

Stock Analysis dashboard Using Streamlit and Python

steamproject

Multiplayer 3rd person fighting game on the Unreal Engine 4 using blueprints and steam

stock-analysis-engine

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-analyzer

A correlation analyzer that determines the relationship between stocks and commodities by given data.

stock-bot

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

stock-bridge-2018

An online stock market simulator built using Django.

stock-forecaster

:chart_with_upwards_trend: A web based stock forecaster in Django with predictive analysis

stock-fundamental-data-scraping-and-analysis

Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go

stock-market-analysis

Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.

stock-market-analysis-using-python-numpy-pandas

The aim of the project was to extract information about various technology stocks mainly - Google, Apple, Microsoft and Amazon from the online stock trading sites - Yahoo Finance and to visualize different aspects of the stocks like the Adjusted Closing Prices, Volumes of stocks traded on a particular day, moving averages of the closing price-to get a basic idea of which way the price is moving by cutting down noise from the data and the daily returns on the stocks. Correlation plots were created for the daily percentage return and Closing prices of the stocks to check how correlated two stocks are. It was obvious that all technology stocks are positively correlated but few like Amazon and Microsoft were highly correlated with each other. The information gathered on daily percentage returns was further used for Risk Analysis by calculating the Expected Return (Average / mean return of the stock) and standard deviation (measurement of Risk -> Greater the std. dev. greater is the risk and vice versa). A scatter plot was created for comparing the Expected return of stocks to its risk. This helped in visualizing the risk factor of various stocks (stocks with high standard deviation and low return).

stock-market-analysis-with-python

Performing the Financial Analysis on Historic Stock Market Data such as calculating various risks, returns,etc.

stock-market-cms

Based on John Elder's Udemy course - Building a stock market web app with Python

stock-market-forecasting

stock-market-simulator

A stock market simulator that generate best trading strategy using machine learning tools.

stock-market-web-app

Web App for Stock Market Trading. Front end with Angular , backend with Node.js

stock-performance-predictor-2.0

Stock Fundamental Analysis using Machine Learning Classification Models

stock-price-predictions

We compiled the analyst reports from Morningstar for 15 largest companies in retail and technology sector and extracted the specific text. Then extracteed sentiments using VADER general sentiment lexicon and through Loughran and MCdonald financial sentiment lexicon. S&P Capital IQ and Yahoo Finance was also our data source. We applied statistical modeling, both linear and logisitc regressions to predict the percentage change in the stock price from day of publication of report to 3 time periods and our model showed some sigificant results with over 95% accuracy and validated our hypothesis.

stock-returns-covariance-matrix-prediction

stock-screener

A collection of notebooks I used in my Medium articles.

stockanalysisapp

A stock analysis app with streamlit

stockanalysisinpython

stockdatascraper

Scraping stock data, for a Upwork client, using the Polygon API

stockifier

A notification and insights app for stock markets

stockmarkertcode

stockmarket codemy sample

stockmax-stock-trading-application-in-python-using-tkinter

A virtual stock trading application using tkinter, selenium, requests and beautifulSoup libraries of python 3. It allows stock trades for all the stocks listed on Nifty 50 stock index of NSE in Indian stock market. Additional functionalities include adding balance, viewing portfolio, viewing graphs and statistics for a given stock in consideration.

stockperformanceclassification

Keras 1D CNN on Azure ML Workbench to classify 4 week stock performance based on text in public earnings statements

stockplatform

A Django web application which scrapes data from Yahoo Finance and displays on a user friendly platform. Additional, Using a Recurrent Neural Network Long Short Term Memory Model (LSTM), predicts future stock prices.

stocks-trainer

This trainer allows the user to practice trading in the replay feature provided by tradingview.com