Rupinder Singh's Projects
Data Structures and Algorithms, Low level design, High level design Notes, Mind maps, Cheatsheets
A Web-Scraper running in docker that utilizes the Mysterium Network to click ads while being undetected
Web app that provides a live time score of how good your current camera selfie capture is to help you find your best look. Calculates rating with Tensorflow ML models and uses tracker.js to access camera on browser. Hackathon project for HackCMU 2017
Download β¬οΈ slides from π¨ SlideShare in no timeβ‘οΈ
A complete computer science study plan to become a software engineer.
My attempt at stock price prediction
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
A web app to fetch and visualize stock data of many companies using yfinance api and chart.js. It can also predict future prices of many stocks.
A starter code to review distribution of a strategy returns and assess Monte Carlo distribution of returns
Find big moving stocks before they move using machine learning and anomaly detection
Systematic strategy to trade Volatility Surface -Rotman International Trading Competition, 2023
π― Curated coding interview preparation materials for busy software engineers
The-Complete-FAANG-Preparation
The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students
ThetaGang is an IBKR bot for collecting money
This is how ML Projects should be approached - from beginning to advanced level
this project satisfies all our requirements
Curating resources for learning how to trade
My Twitter API bot.
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist
materials from past webinars