urvijaykumar Goto Github PK
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Project2 for UCB Fintech Class
Automated entry of TradingView alerts for bot trading tools such as 3Commas, Alertatron, CryptoHopper, etc.
AdminLTE v3 for MVC Core, Razor Pages and Tag Helpers
AdminLTE - Free admin dashboard template based on Bootstrap 4
React 18.2.0 start-up project with AdminLTE 3.2.0 template
AdminLTE 3 Visual Studio project templates.
Design pattern for critical stages in the development process of an AI Stock Trading Bot
My machine learning playground
A simple portfolio tracker for everyone using MERN Stack.
Simple algorithmic stock and option trading for Node.js.
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
A simple backtest framework written in typescript, to test investing strategies and considering trading costs
Angular library for rendering the TradingView Advanced Real-Time Chart Widget.
Example AntD app showcasing how to switch between themes with react-css-theme-switcher.
Stock Portfolio Management Webpage with React + Next + Node
AZ-204: Developing solutions for Microsoft Azure
Insider Unlocked is an ongoing web application we have been co-developing for the past few months which aggregates stock trading data of US senators and presents it in a digestible manner for the average retail investor.
FMZ backtest engine javascript package
FMZ backtest engine python package
These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website
There are about 4000 stocks which are actively traded on the stock exchanges at BSE and NSE. Can we extract public financial data from sites like moneycontrol.com to find which are the fundamentally strong stocks. On what stocks would the father of value investing, Benjamin Graham and Warren Buffett the most successful investors in the world make their investments on. Benjamin Graham and Warren Buffett Model Step 1: Filter out all companies with sales less than Rs 250 cr. Companies with sales lower than this are very small companies and might not have the business stability and access to finance that is required for a safe investment. This eliminates the basic business risk. Step 2: Filter out all companies with debt to equity greater than 30%. Companies with low leverage are safer. Step 3: Filter out all companies with interest coverage ratio of less than 4. Companies with high interest coverage ratio have a highly reduced bankruptcy risk. Step 4: Filter out all companies with ROE less than 15% since they are earning less than their cost of capital. High ROE companies have a robust business model, which generates increased earnings for the company typically. Step 5: Filter out all companies with PE ratio greater than 25 since they are too expensive even for a high-quality company. This enables us to pick companies which are relatively cheaper as against their actual value. He points out that applying these filters enables us to reduce and even eliminate a lot of fundamental risks while ensuring a robust business model, strong earning potential and a good buying price.
Biscoint Buffett (Warren) Bot
Blazor workshop
Bootstrap 5 tutorial with Gulp, Sass, BrowserSync, and Vanilla JS
美观易用的React富文本编辑器,基于draft-js开发
This repository looks into how Warren Buffet made his investments.
Warren Buffett's indicator - Market Cap to GDP ratio for US stock market
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.