SheikhRabiul / 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 pres…
☆98Updated 6 years ago
Alternatives and similar repositories for A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market:
Users that are interested in A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market are comparing it to the libraries listed below
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆46Updated 4 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆61Updated 5 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- A collection of notebooks I used in my Medium articles.☆139Updated 2 years ago
- 😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to…☆68Updated 4 years ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆117Updated 4 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 years ago
- Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financ…☆71Updated 3 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆88Updated 7 months ago
- Research and Backtests I have been working on...enjoy☆70Updated 4 years ago
- Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic pr…☆65Updated 6 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆86Updated 4 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆39Updated 4 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆157Updated 5 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 7 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling☆54Updated 8 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆50Updated 3 years ago
- Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeli…☆146Updated 7 months ago
- Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.☆38Updated last year
- A machine learning program that is able to recognize patterns inside Forex or stock data☆151Updated 5 years ago
- ☆193Updated last week
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- quantitative - Quantitative finance back testing library☆63Updated 6 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆78Updated 5 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆60Updated 7 months ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆128Updated last year
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆43Updated 2 years ago