urvijaykumar Goto Github PK

4a_trading

Project2 for UCB Fintech Class

add-tradingview-alerts-tool

Automated entry of TradingView alerts for bot trading tools such as 3Commas, Alertatron, CryptoHopper, etc.

admin-lte-dotnet

AdminLTE v3 for MVC Core, Razor Pages and Tag Helpers

adminlte

AdminLTE - Free admin dashboard template based on Bootstrap 4

adminlte-3-react

React 18.2.0 start-up project with AdminLTE 3.2.0 template

adminlte-vs-template

AdminLTE 3 Visual Studio project templates.

ai_stock_trading

Design pattern for critical stages in the development process of an AI Stock Trading Bot

aiml

My machine learning playground

alfred

A simple portfolio tracker for everyone using MERN Stack.

algotrader

Simple algorithmic stock and option trading for Node.js.

alpha-mind

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

angular-backtest

A simple backtest framework written in typescript, to test investing strategies and considering trading costs

angular-tradingview-widget

Angular library for rendering the TradingView Advanced Real-Time Chart Widget.

anime_generator_startup_template

animeprojectsesonal

antd-dark-mode

Example AntD app showcasing how to switch between themes with react-css-theme-switcher.

asset-gallery

Stock Portfolio Management Webpage with React + Next + Node

backend

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.

backtest_javascript

FMZ backtest engine javascript package

backtest_python

FMZ backtest engine python package

backtrader-for-backtesting

These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website

benjamin-graham-and-warren-buffett-model-stock-exchange-

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-bot

Biscoint Buffett (Warren) Bot

blazor-workshop

Blazor workshop

bootstrap-5-tutorial

Bootstrap 5 tutorial with Gulp, Sass, BrowserSync, and Vanilla JS

braft-editor

美观易用的React富文本编辑器，基于draft-js开发

buffetis

This repository looks into how Warren Buffet made his investments.

buffetportfolioanalysis

buffett_indicator

Warren Buffett's indicator - Market Cap to GDP ratio for US stock market

business-website

This is an intermediate level project with Django and Python