Pinned Repositories
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
AdExchange
Web Ad Management Platform
ansible-freeton-rust
BNO-USO-Spread-Trade-Algo
Trading algorithm for pair trading BNO and USO based off of deviations from and reversions back to the mean spread of the trading pair.
omnipay-getapay
omnipay-interkassa
omnipay-meeg
omnipay-payplanet
Telegram_mini-app
Simple clicker game to build a community around Cryptocash. Inspired by the success of Notcoin.
wti-brent-trade
Analysing the WTI-Brent Crude Oil Spread for a possible pair-trade situation.
mistermusk's Repositories
mistermusk/BNO-USO-Spread-Trade-Algo
Trading algorithm for pair trading BNO and USO based off of deviations from and reversions back to the mean spread of the trading pair.
mistermusk/AdExchange
Web Ad Management Platform
mistermusk/bet-app
Soccer betting app for Android
mistermusk/binanace_java
Using Binance API to store Depth Event in Time Series Database (influxDb)
mistermusk/blog-tutorials
:star: Codebase for the tutorials on my blog
mistermusk/code-examples
Example projects for https://attacomsian.com/blog/ website.
mistermusk/deep-q-learning-trading-system-on-hk-stocks-market
Deep q learning on determining buy/sell signal and placing orders
mistermusk/Gerapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js
mistermusk/Hobby-barter
Сайт по обмену навыками(react-redux)
mistermusk/Java-Binance-WebApp
Create an application in Java, Maven using Binance Java Library. The application should handle orderbook updates and save the updates into a local database of your choice. Binance Java Library can be found here - https://github.com/binance-exchange/binance-java-api General Steps in your application: Subscribe to depth events and cache any events that are received. Get a snapshot from the rest endpoint and use it to build your initial depth cache. Apply any cache events that have a final updateId later than the snapshot's update id. Start applying any newly received depth events to the depth cache. The example repeats these steps, on a new web socket, should the web socket connection be lost. Note: Snapshots of the order book can be retrieved from the REST API. Delta changes to the book can be received by subscribing for updates via the web socket API. To ensure no updates are missed, it is important to subscribe for updates on the web socket API before getting the snapshot from the REST API. Get all BTC pair data (but only that you can buy using BTC ex: ETH/BTC, BNB/BTC ) and there are 100+ such pairs and store it in a local database. The database of your choice should be: Accurate, no data loss As fast as possible Take as least disk space as possible TIP: Able to handle time series data very well Bonus Points!! If you can display active order book for a selected pair (Ex:BNB/BTC) like below. The display should have pair selector, sell orders and buy orders. You can see an example from this link - https://www.binance.com/en/trade/pro/BNB_BTC
mistermusk/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
mistermusk/Nominatim
Open Source search based on OpenStreetMap data
mistermusk/nominatim-java-api
Nominatim search API client written in Java
mistermusk/NotEbay
Spring Data REST & ReactJs project
mistermusk/online-shopping
This is an online shopping project using Spring MVC and Hibernate.
mistermusk/Portfolio
Portfolio – is a Personal one page Portfolio HTML Template, luxury and trendy for personal use, resume or portfolio websites. It is a very simple, clean and minimalist template. The template looks great and it will appeal to fans of minimalist style. Template content is based on HTML5 – CSS3 – Bootstrap v3 System. 📌Main features: ✔HTML5 & CSS3 ✔Pixel Perfect Design ✔Responsive Design ✔User Friendly Code ✔Clean Markup ✔Creative Design ✔Cross Browser Support ✔Powered With Bootstrap 3 ✔Used font awesome icon ✔Google Font ✔Google Map ✔Fast Page Loading ✔Amazing Megamenu ✔Easy to customize ✔Smooth animation ✔W3C Validated Code ✔Well Documented ✔Quick View Product ✔And Much More! ============📌Source & Credits ============= BootStrap 4 Google font Javascript Jquery Library Font Awesome 5 =========== Thanks ======== please dont Forget to Leave your Feedback. ☑️N.B: I develop this template for my client. That Why Donto Share this Code.
mistermusk/RealEstateAgency-NJT-Backend
Spring Boot app - REST API for a real estate agency
mistermusk/realty
web spring
mistermusk/Shadowrocket
Shadowrocket without $2.99
mistermusk/spring-data-book
Spring Data - The Definitive Guide - Modern Data Access for Enterprise Java Developers
mistermusk/spring-data-mongodb
Provide support to increase developer productivity in Java when using MongoDB. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.
mistermusk/StatArbProject
Statistical Arbitrage trading algorithm for QuantConnect. Main ideas taken from "Pairs Trading Evaluation of profitability and risks on the Swedish stock market" (http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=7370318&fileOId=7370368).
mistermusk/Stock-Analysis-Python
Bot to trade in the stock market applying Moving Average
mistermusk/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
mistermusk/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.
mistermusk/tutorials
The "REST With Spring" Course:
mistermusk/vue-country-region-select
A vue country select and a vue region select component that is very easy to use and the region select will update automatically depending on your country selected. They can also be used stand alone.
mistermusk/vue-filepond
🔌 A handy FilePond adapter component for Vue
mistermusk/vuestic-admin
Free and Beautiful Vue.js Admin Template
mistermusk/vuex-persistedstate
💾 Persist and rehydrate your Vuex state between page reloads.