mistermusk's repositories
wti-brent-trade
Analysing the WTI-Brent Crude Oil Spread for a possible pair-trade situation.
A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
AndroidAR
原生开发,借助EasyAR SDK进行简单的AR识别3D静态模型(obj)与红包效果
AndroidConnectFourGame
A simple game called connect four Mobile App on Android
Barter
A web app that allows users to exchange goods
BeatTheBookie
Betting Strategy to Beat the Bookies at Football Games
binance-trader
Experimental trading bot for crypto currency on Binance.com
bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
carsAdvertisePlatform
Spring Boot Application
deep-q-learning-trading-system-on-hk-stocks-market
Deep q learning on determining buy/sell signal and placing orders
ICO
Ethereum smart contracts for the shokoCAST ICO / crowd sale. Includes the ERC-20 token contract that models surrogate social utility tokens and equity convertible coins which will be replaced by shokoCAST's final implementation on the chain. shokoCAST is an amazing platform that will bring about the rebirth of sound and the evolution of music and will be built using TIMID [Technology Innovations that are based on Multiple Interdependent Disruptions to the music industry] on a hybrid quadruple layered blockchain called SHOkolah. The platform will enable the creation of music by artists and beatmakers and DJs, collaboration, sharing; publishing; distribution; and consumption of music; live video, 360 video and augmented reality streaming [live concerts and events, ticket sales etc.]; curated music playlists or dRadio. It will also have a transactional wallet called shokollet together with a secure and anonymous messenger called SHUSH! A tool to empower the powerless! Especially where one takes the time to consider emerging economies where are a person has is a cellphone and not even a bank account. Blockchain and it sfundamental principles can work wonders and its our intention to gain mass adoption starting in Africa to which we have tested and proved the model. Music is the core or chain that units people; from teh times of slavery, to colonisation, to exploitation, to all forms of abuse and censorship that still continues in less privileged econmies - MUSIC IS THE THREAD THAT BINDS AS WE ALL CAN RELATE!!! shokoCAST gives empowerment back to the user and 'LIBERATES' the soul. As a colleagues once said, " Its now possible to release a track and earn a living from middle earth or even the fiery fires of Mount Doom!
IntelliTrader
Intelligent Cryptocurrency Trading Bot
prerender-java
java framework for prerender
qc-algo-trading
Python based Algorithmic Trading System for the QuantConnect Platform
QuantConnect-Trading-Strategies
Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques
QuidPQ
Modern Age Bartering
real-estate-sofia
Some spring app.
RealEstate-1
Spring MVC
Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Use NLP to predict stock price movement associated with news
spring-boot-microservices
A microservice application with User authentication, sms service, contact service, location service, National Id and Passport service and some other service are under processing like payment service etc. All of the services are separate application which can be operated in a single page Angular UI. All the services can be reused to any other application.
spring-mongodb-graphlookup
Storing and retrieving tree structures with MongoDB
Stock-Analysis-Python
Bot to trade in the stock market applying Moving Average
stock-market-botmaker
Design trading strategies and export bot as python file.
Stock-Predictor-LSTM
This project is a working Stock Price predictor . The user can give it any company's stock from any Index like NASDAQ, NSE,etc. It can be used on any type of market like Stock(Equity), FX (Currency Exchange), FNO (Futures n Options), etc. and for any time frame like 1 min, 5 min, End Of the day data. Be careful to remove the irrelevant code from comment for 1 min and 5 min code. Be careful to change the READ_CSV line according to your Dataset and add columns or if not added then do not remove "USE_COLS" or replace it with a list of names of your columns like LIST=["Date","Time","Open", "High"...and so on] as"NAMES=LIST". I am open to changes and suggestions. If there is a query kindly add it in the issues section, I will try my best to help you.Stock traders mainly use three indicators for prediction: OHLC average (average of Open, High, Low and Closing Prices), HLC average (average of High, Low and Closing Prices) and Closing price, In this project, OHLC average has been used.
trump2cash
A stock trading bot powered by Trump tweets
tutorial-files
Here you will find code for tutorials
Visual-Eyes-BizHacks
Eye-tracking and face analysis tool in AR, for recording user's focus and predicting users' demographics and emotions when reading marketing materials. Dynamically store and visualize analysis data. First place, Best Buy Prize Winner out of 400+ people.
Vue.js2-SPA
SPA. Site for posting ads. Created using Vue.js.