sudarsansridharan16 Goto Github PK
Type: User
Type: User
Stock Portfolio Suggestion Engine Group member: Form a group of 3 to 4 people. Research needed: Python must be used for this project. Group members need to research on any additional python API needed Group members need to research on basic investment methodology Description: Based on previous lab exercises, this project provides a stock portfolio suggestion engine for the user. User will: Input dollar amount to invest in USD (Minimum is $5000 USD) Pick one or two investment strategies: Ethical Investing Growth Investing Index Investing Quality Investing Value Investing The engine needs to assign stocks or ETFs for a selected investment strategy. E.g. Index Investing strategy could map to the following ETFs: Vanguard Total Stock Market ETF (VTI) iShares Core MSCI Total Intl Stk (IXUS) iShares Core 10+ Year USD Bond (ILTB) And Ethical Investing strategy could map to these stocks: Apple (APPL) Adobe (ADBE) Nestle (NSRGY) Each strategy must map to at least 3 different stocks/ETFs. Output: The suggestion engine will output: Which stocks are selected based on inputed strategies. How the money are divided to buy the suggested stock. The current values (up to the sec via Internet) of the overall portfolio (including all the stocks / ETFs) A weekly trend of the portfolio value. In order words, keep 5 days history of the overall portfolio value. Decision: Each group needs to decide on various different parts of the project such as: UI to use How stocks/ETFs are mapped to investing strategy How the money is divided among buying How to present the weekly history of the portfolio value How many extra feature should be implemented to improve the project.
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
💰 Displays data and ratios of stocks and rates them via API
A python program with the main aim of calculating various important values for a given portfolio (daily portfolio value, daily returns, sharpe ratio, annualized sharpe ratio), optimizing the portfolio over a given time period, and eventually predicting future data based on already collected data.
Stocks4All is a Windows application that connects with Robinhood, the no commission fee broker. Stocks4All allows you to enter and exit positions faster, in addition to providing other useful features
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).
A backtesting and strategy runner framework for stocks, ETFs and Forex - running on node.js
Style guides for Google-originated open-source projects
Ultra Low Latency Trading Framework (Fix Engine, OMS, FastFix, ETI, Algo Container)
Preparation links and resources for system design questions
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
This project scrapes multiple sites for stock data. It can get values for Earnings Dates, Stock Prices, PE & PEG Ratios, RSIs, and 52 Week Hi and Lows.
Algorithmic Trading Framework
A Java framework for testing multithreaded code.
Low-latency algorithmic trading platform written in Rust
Code Samples For Multithreading in Java 8
Trade Manager automates technical trading of candle stick charts with an interface to Interactive Brokers Trader Workstation (IB TWS) & Yahoo Finanace
This is the trade manager project built on Maven and Spring boot. This project is WIP. The front end will be React/Redux and the broker API support is Interactvie Broker Java API + Barchart OnDemand (this replaces Yahoo Finance API which no long exists)
Trade Mirror provides an infrastructure for low latency trade copying services from master to child traders, and also trader to different channels including social media. The tool can copy trades from sender and publish them to all subscribed receiver’s in real time across a local network or the internet.
Microservices on Mesos using Akka, Marathon, Consul, Docker, Constructr
UI microservice for the Stock Trader app
TradeSharp connector for Blackwood provider. TradeSharp is a C# based data feed and broker neutral Algorithmic Trading Platform that lets trading firms or individuals connect to providers, and automate any rules based trading strategies in stocks, forex and ETFs.
TradeSharp Backend code. TradeSharp is a C# based data feed and broker neutral Algorithmic Trading Platform that lets trading firms or individuals connect to providers, and automate any rules based trading strategies in stocks, forex and ETFs.
TradeSharp connector for Forexware provider. TradeSharp is a C# based data feed and broker neutral Algorithmic Trading Platform that lets trading firms or individuals connect to providers, and automate any rules based trading strategies in stocks, forex and ETFs.
TradeSharp connector for IQFeed provider. TradeSharp is a C# based data feed and broker neutral Algorithmic Trading Platform that lets trading firms or individuals connect to providers, and automate any rules based trading strategies in stocks, forex and ETFs.
TradeSharp Frontend code. TradeSharp is a C# based data feed and broker neutral Algorithmic Trading Platform that lets trading firms or individuals connect to providers, and automate any rules based trading strategies in stocks, forex and ETFs.
A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model.
Trading Bot for cryptocurrencies and stocks [Spring/React]
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
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.